Em P Frans Coenen

Professor of Computer Science Computer Science

Work email Coenen@liverpool.ac.uk
Personal Websitehttp://www.csc.liv.ac.uk/~frans/

Publications

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2024

Springback prediction using point series and deep learning (Journal article)

Bingqian, Y., Zeng, Y., Yang, H., Oscoz, M. P., Ortiz, M., Coenen, F., & Nguyen, A. (2024). Springback prediction using point series and deep learning. The International Journal of Advanced Manufacturing Technology, 132(9-10), 4723-4735. doi:10.1007/s00170-024-13632-6

DOI: 10.1007/s00170-024-13632-6

Artificial intelligence-enhanced electrocardiogram analysis for identifying cardiac autonomic neuropathy in patients with diabetes (Journal article)

Irlik, K., Aldosari, H., Hendel, M., Piaśnik, J., Kulpa, J., Ignacy, P., . . . Nabrdalik, K. (2024). Artificial intelligence-enhanced electrocardiogram analysis for identifying cardiac autonomic neuropathy in patients with diabetes. Diabetes, Obesity and Metabolism: a journal of pharmacology and therapeutics.

Editorial for Special Issue on “Expert decision making for data analytics with applications” (Journal article)

Yuen, K. K. F., Leu, J. -S., Ishizaka, A., Tawfik, H., & Coenen, F. (2024). Editorial for Special Issue on “Expert decision making for data analytics with applications”. Applied Soft Computing, 155, 111480. doi:10.1016/j.asoc.2024.111480

DOI: 10.1016/j.asoc.2024.111480

Springback Prediction Using Gated Recurrent Unit and Data Augmentation (Conference Paper)

Chen, D., Coenen, F., Hai, Y., Oscoz, M. P., & Nguyen, A. (2024). Springback Prediction Using Gated Recurrent Unit and Data Augmentation. In Unknown Conference (pp. 1-13). Springer Nature Singapore. doi:10.1007/978-981-99-8498-5_1

DOI: 10.1007/978-981-99-8498-5_1

2023

Artificial intelligence-enhanced electrocardiogram analysis for identifying cardiac autonomic neuropathy in patients with diabetes (Preprint)

DOI: 10.21203/rs.3.rs-3735738/v1

Deep ensemble learning for high-dimensional subsurface fluid flow modeling (Journal article)

Choubineh, A., Chen, J., Wood, D. A., Coenen, F., & Ma, F. (2023). Deep ensemble learning for high-dimensional subsurface fluid flow modeling. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 126. doi:10.1016/j.engappai.2023.106968

DOI: 10.1016/j.engappai.2023.106968

An interpretable framework for sleep posture change detection and postural inactivity segmentation using wrist kinematics. (Journal article)

Elnaggar, O., Arelhi, R., Coenen, F., Hopkinson, A., Mason, L., & Paoletti, P. (2023). An interpretable framework for sleep posture change detection and postural inactivity segmentation using wrist kinematics.. Scientific reports, 13(1), 18027. doi:10.1038/s41598-023-44567-9

DOI: 10.1038/s41598-023-44567-9

Social Media Sentiment Analysis and Opinion Mining in Public Security: Taxonomy, Trend Analysis, Issues and Future Directions (Journal article)

Hijazi, A., & Coenen, F. (2023). Social Media Sentiment Analysis and Opinion Mining in Public Security: Taxonomy, Trend Analysis, Issues and Future Directions. Journal of King Saud University: Computer and Information Sciences.

RgnTX: colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity (Journal article)

Coenen, F., Wang, Y., Meng, J., Wei, Z., & Su, J. (2023). RgnTX: colocalization analysis of transcriptome elements in the presence of isoform heterogeneity and ambiguity. Computational and Structural Biotechnology Journal. doi:10.1016/j.csbj.2023.08.021

DOI: 10.1016/j.csbj.2023.08.021

Pathology Data Prioritisation: A Study of Using Multi-variate Time Series (Conference Paper)

Qi, J., Burnside, G., & Coenen, F. (2023). Pathology Data Prioritisation: A Study of Using Multi-variate Time Series. In Unknown Conference (pp. 1-20). Springer International Publishing. doi:10.1007/978-3-031-35924-8_1

DOI: 10.1007/978-3-031-35924-8_1

Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies (Journal article)

Elnaggar, O., Coenen, F., Hopkinson, A., Mason, L., & Paoletti, P. (2023). Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies. INFORMATION FUSION, 95, 215-236. doi:10.1016/j.inffus.2023.02.003

DOI: 10.1016/j.inffus.2023.02.003

A Robust Framework of Chromosome Straightening With Vit-Patch Gan (Conference Paper)

Song, S., Wang, J., Cheng, F., Cao, Q., Zuo, Y., Lei, Y., . . . Su, J. (2023). A Robust Framework of Chromosome Straightening With Vit-Patch Gan. In 2023 IEEE 20th International Symposium on Biomedical Imaging (ISBI). IEEE. doi:10.1109/isbi53787.2023.10230388

DOI: 10.1109/isbi53787.2023.10230388

Triple-kernel Gated Attention-based Multiple Instance Learning with Contrastive Learning for Medical Image Analysis (Journal article)

Coenen, F., Ye, R., Hu, H., Thiyagalingam, J., & Su, J. (2023). Triple-kernel Gated Attention-based Multiple Instance Learning with Contrastive Learning for Medical Image Analysis. Applied Intelligence.

Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data (Journal article)

Choubineh, A., Chen, J., Coenen, F., & Ma, F. (2023). Applying Monte Carlo Dropout to Quantify the Uncertainty of Skip Connection-Based Convolutional Neural Networks Optimized by Big Data. ELECTRONICS, 12(6). doi:10.3390/electronics12061453

DOI: 10.3390/electronics12061453

A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling (Journal article)

Choubineh, A., Chen, J., Coenen, F., & Ma, F. (2023). A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 23(1). doi:10.1115/1.4054868

DOI: 10.1115/1.4054868

KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study (Preprint)

Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification (Chapter)

Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2023). Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification. In Communications in Computer and Information Science (pp. 3-27). Springer Nature Switzerland. doi:10.1007/978-3-031-43471-6_1

DOI: 10.1007/978-3-031-43471-6_1

Forecasting the UN Sustainable Development Goals (Chapter)

Alharbi, Y., Arribas-Bel, D., & Coenen, F. (2023). Forecasting the UN Sustainable Development Goals. In Communications in Computer and Information Science (pp. 88-110). Springer Nature Switzerland. doi:10.1007/978-3-031-37320-6_5

DOI: 10.1007/978-3-031-37320-6_5

Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset (Journal article)

Choubineh, A., Chen, J., Wood, D. A., Coenen, F., & Ma, F. (2023). Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. ALGORITHMS, 16(1). doi:10.3390/a16010024

DOI: 10.3390/a16010024

PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning (Journal article)

Almutairi, N., Coenen, F., & Dures, K. (2023). PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning. IEEE ACCESS, 11, 31657-31675. doi:10.1109/ACCESS.2023.3263114

DOI: 10.1109/ACCESS.2023.3263114

Preface (Book)

Coenen, F., Aveiro, D., Bernardino, J., Filipe, J., Fred, A., Dietz, J., & Masciari, E. (2023). Preface (Vol. 1842 CCIS).

2022

Query Resolution of Literature Knowledge Graphs using Hybrid Document Embeddings. (Conference Paper)

Coenen, F., Muhammad, I., Gamble, C., Kearney, A., & Williams, P. (2022). Query Resolution of Literature Knowledge Graphs using Hybrid Document Embeddings..

Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor (Conference Paper)

Coenen, F., Aldosari, H., Lip, G., & Zheng, Y. (2022). Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor.

From Deterministic to Stochastic: An Interpretable Stochastic Model-free Reinforcement Learning Framework for Portfolio Optimization (Journal article)

Coenen, F., Wang, Y., Song, Z., Qian, P., Song, S., Jiang, Z., & Su, J. (2022). From Deterministic to Stochastic: An Interpretable Stochastic Model-free Reinforcement Learning Framework for Portfolio Optimization. Applied Intelligence.

Retrieval-Based Language Model Adaptation for Handwritten Chinese Text Recognition (Journal article)

Coenen, F., Hu, S. -Y., Wang, Q. -F., Huang, K., & Wen, M. (2022). Retrieval-Based Language Model Adaptation for Handwritten Chinese Text Recognition. International Journal on Document Analysis and Recognition (IJDAR). doi:10.1007/s10032-022-00419-2

DOI: 10.1007/s10032-022-00419-2

Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation (Journal article)

Huang, D., Chen, K., Song, B., Wei, Z., Su, J., Coenen, F., . . . Meng, J. (2022). Geographic encoding of transcripts enabled high-accuracy and isoform-aware deep learning of RNA methylation. NUCLEIC ACIDS RESEARCH, 50(18), 10290-10310. doi:10.1093/nar/gkac830

DOI: 10.1093/nar/gkac830

An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM (Journal article)

Choubineh, A., Chen, J., Coenen, F., & Ma, F. (2022). An innovative application of deep learning in multiscale modeling of subsurface fluid flow: Reconstructing the basis functions of the mixed GMsFEM. Journal of Petroleum Science and Engineering, 216, 110751. doi:10.1016/j.petrol.2022.110751

DOI: 10.1016/j.petrol.2022.110751

Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data (Journal article)

Chen, Q., Wang, W., Huang, K., & Coenen, F. (2022). Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data. IEEE INTERNET OF THINGS JOURNAL, 9(12), 9205-9213. doi:10.1109/JIOT.2021.3093065

DOI: 10.1109/JIOT.2021.3093065

CNN-based Classification Framework for Lung Tissues with Auxiliary Information (Preprint)

Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies (Preprint)

BILATERAL-VIT FOR ROBUST FOVEA LOCALIZATION (Conference Paper)

Song, S., Dang, K., Yu, Q., Wang, Z., Coenen, F., Su, J., & Ding, X. (2022). BILATERAL-VIT FOR ROBUST FOVEA LOCALIZATION. In 2022 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (IEEE ISBI 2022). doi:10.1109/ISBI52829.2022.9761523

DOI: 10.1109/ISBI52829.2022.9761523

Chapter Three Machine learning to improve natural gas reservoir simulations (Chapter)

Choubineh, A., Chen, J., Coenen, F., Ma, F., & Wood, D. A. (2022). Chapter Three Machine learning to improve natural gas reservoir simulations. In Sustainable Natural Gas Reservoir and Production Engineering (pp. 55-82). Elsevier. doi:10.1016/b978-0-12-824495-1.00011-5

DOI: 10.1016/b978-0-12-824495-1.00011-5

Cross-Datasets Evaluation of Machine Learning Models for Intrusion Detection Systems (Conference Paper)

Al-Riyami, S., Lisitsa, A., & Coenen, F. (2022). Cross-Datasets Evaluation of Machine Learning Models for Intrusion Detection Systems. In Unknown Conference (pp. 815-828). Springer Singapore. doi:10.1007/978-981-16-2102-4_73

DOI: 10.1007/978-981-16-2102-4_73

Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach (Conference Paper)

Qi, J., Burnside, G., & Coenen, F. (2022). Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach. In ARTIFICIAL INTELLIGENCE XXXIX, AI 2022 Vol. 13652 (pp. 51-63). doi:10.1007/978-3-031-21441-7_4

DOI: 10.1007/978-3-031-21441-7_4

FOREWORD (Conference Paper)

Coenen, F., Fred, A., & Filipe, J. (2022). FOREWORD. In International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K - Proceedings Vol. 1 (pp. IX-X).

Pathology Data Prioritisation: A Study Using Multi-variate Time Series (Conference Paper)

Qi, J., Burnside, G., & Coenen, F. (2022). Pathology Data Prioritisation: A Study Using Multi-variate Time Series. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY, DAWAK 2022 Vol. 13428 (pp. 149-162). doi:10.1007/978-3-031-12670-3_13

DOI: 10.1007/978-3-031-12670-3_13

Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram (Conference Paper)

Aldosari, H., Coenen, F., Lip, G., & Zheng, Y. (2022). Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram. In Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0011380500003335

DOI: 10.5220/0011380500003335

2021

Finding banded patternsin large data set using segmentation (Journal article)

Abdullahi, F. B., & Coenen, F. (n.d.). Finding banded patternsin large data set using segmentation. Bayero Journal of Pure and Applied Sciences, 13(1), 90-96. doi:10.4314/bajopas.v13i1.13

DOI: 10.4314/bajopas.v13i1.13

Capturing Expert Knowledge for Building Enterprise SME Knowledge Graphs (Conference Paper)

Mansfield, M., Tamma, V., Goddard, P., & Coenen, F. (2021). Capturing Expert Knowledge for Building Enterprise SME Knowledge Graphs. In PROCEEDINGS OF THE 11TH KNOWLEDGE CAPTURE CONFERENCE (K-CAP '21) (pp. 129-136). doi:10.1145/3460210.3493569

DOI: 10.1145/3460210.3493569

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image (Conference Paper)

Song, S., Huang, D., Hu, Y., Yang, C., Meng, J., Ma, F., . . . Su, J. (2021). A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. In 2021 14TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2021). doi:10.1109/CISP-BMEI53629.2021.9624383

DOI: 10.1109/CISP-BMEI53629.2021.9624383

A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction (Journal article)

Tan, C. B., Hijazi, M. H. A., Khamis, N., Nohuddin, P. N. E. B., Zainol, Z., Coenen, F., & Gani, A. (n.d.). A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction. Multimedia Tools and Applications. doi:10.1007/s11042-021-11235-x

DOI: 10.1007/s11042-021-11235-x

Multi-modal Generative Adversarial Networks for Traffic Event Detection in Smart Cities (Journal article)

Coenen, F., Wang, W., Chen, Q., Huang, K., & De, S. (2021). Multi-modal Generative Adversarial Networks for Traffic Event Detection in Smart Cities. Expert Systems With Applications. doi:10.1016/j.eswa.2021.114939

DOI: 10.1016/j.eswa.2021.114939

Sustainable Development Goal Relational Modelling and Prediction (Journal article)

Alharbi, Y., Arribas-Bel, D., & Coenen, F. (n.d.). Sustainable Development Goal Relational Modelling and Prediction. Journal of Data Intelligence, 2(3), 348-367. doi:10.26421/jdi2.3-3

DOI: 10.26421/jdi2.3-3

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data (Conference Paper)

Huang, D., Song, B., Wei, J., Su, J., Coenen, F., & Meng, J. (2021). Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data. In BIOINFORMATICS Vol. 37 (pp. I222-I230). doi:10.1093/bioinformatics/btab278

DOI: 10.1093/bioinformatics/btab278

MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis (Journal article)

Wang, Y., Chen, K., Wei, Z., Coenen, F., Su, J., & Meng, J. (2021). MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis. BIOINFORMATICS, 37(9), 1285-1291. doi:10.1093/bioinformatics/btaa938

DOI: 10.1093/bioinformatics/btaa938

Automated Social Text Annotation With Joint Multilabel Attention Networks (Journal article)

Dong, H., Wang, W., Huang, K., & Coenen, F. (2021). Automated Social Text Annotation With Joint Multilabel Attention Networks. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 32(5), 2224-2238. doi:10.1109/TNNLS.2020.3002798

DOI: 10.1109/TNNLS.2020.3002798

Efficient Distributed MST Based Clustering for Recommender System (Conference Paper)

Coenen, F., & Shahzad, A. (2021). Efficient Distributed MST Based Clustering for Recommender System. In IEEE International Conference on Data Minimg (ICDM) Workshop on Advanced Neural Algorithms and Theories for Recommender Systems (NeuRec).

Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification (Conference Paper)

Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2021). Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification. In ARTIFICIAL INTELLIGENCE XXXVIII Vol. 13101 (pp. 254-266). doi:10.1007/978-3-030-91100-3_21

DOI: 10.1007/978-3-030-91100-3_21

Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank (Conference Paper)

Muhammad, I., Bollegala, D., Coenen, F., Gamble, C., Kearney, A., & Williamson, P. (2021). Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2021) Vol. 12925 (pp. 116-127). doi:10.1007/978-3-030-86534-4_10

DOI: 10.1007/978-3-030-86534-4_10

Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification (Conference Paper)

Qi, J., Burnside, G., Charnley, P., & Coenen, F. (2021). Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification. In PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KDIR), VOL 1: (pp. 121-128). doi:10.5220/0010643900003064

DOI: 10.5220/0010643900003064

Machine learning to improve natural gas reservoir simulations (Chapter)

Choubineh, A., Chen, J., Coenen, F., Ma, F., & Wood, D. A. (2022). Machine learning to improve natural gas reservoir simulations. In Sustainable Natural Gas Reservoir and Production Engineering (pp. 55-82). Elsevier. doi:10.1016/b978-0-12-824495-1.00011-5

DOI: 10.1016/b978-0-12-824495-1.00011-5

Management of non-urgent paediatric emergency department attendances by GPs: a retrospective observational study (Journal article)

Leigh, S., Mehta, B., Dummer, L., Aird, H., McSorley, S., Oseyenum, V., . . . Carrol, E. D. (2021). Management of non-urgent paediatric emergency department attendances by GPs: a retrospective observational study. BRITISH JOURNAL OF GENERAL PRACTICE, 71(702), E22-E30. doi:10.3399/bjgp20X713885

DOI: 10.3399/bjgp20X713885

Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification (Conference Paper)

Aldosari, H., Coenen, F., Lip, G. Y. H., & Zheng, Y. (2021). Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2021) Vol. 12925 (pp. 235-241). doi:10.1007/978-3-030-86534-4_22

DOI: 10.1007/978-3-030-86534-4_22

Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping (Conference Paper)

Alshehri, M., Coenen, F., & Dures, K. (2021). Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping. In PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON DATA SCIENCE, TECHNOLOGY AND APPLICATIONS (DATA) (pp. 184-191). doi:10.5220/0010519301840191

DOI: 10.5220/0010519301840191

Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping (Conference Paper)

Alshehri, M., Coenen, F., & Dures, K. (2021). Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping. In Proceedings of the 10th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications. doi:10.5220/0010519300002993

DOI: 10.5220/0010519300002993

Ranking Pathology Data in the Absence of a Ground Truth (Conference Paper)

Qi, J., Burnside, G., & Coenen, F. (2021). Ranking Pathology Data in the Absence of a Ground Truth. In ARTIFICIAL INTELLIGENCE XXXVIII Vol. 13101 (pp. 209-223). doi:10.1007/978-3-030-91100-3_18

DOI: 10.1007/978-3-030-91100-3_18

Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity (Conference Paper)

Vincent-Paulraj, A., Burnside, G., Coenen, F., Pirmohamed, M., & Walker, L. (2021). Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity. In ARTIFICIAL INTELLIGENCE XXXVIII Vol. 13101 (pp. 241-253). doi:10.1007/978-3-030-91100-3_20

DOI: 10.1007/978-3-030-91100-3_20

Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis (Conference Paper)

Alharbi, Y., Arribas-Bel, D., & Coenen, F. (2021). Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis. In PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON DEEP LEARNING THEORY AND APPLICATIONS (DELTA) (pp. 123-131). doi:10.5220/0010546101230131

DOI: 10.5220/0010546101230131

Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis (Conference Paper)

Alharbi, Y., Arribas-Bel, D., & Coenen, F. (2021). Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis. In Proceedings of the 2nd International Conference on Deep Learning Theory and Applications. SCITEPRESS - Science and Technology Publications. doi:10.5220/0010546100002996

DOI: 10.5220/0010546100002996

2020

Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach (Conference Paper)

Alshehri, M., Coenen, F., & Dures, K. (2020). Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach. In Unknown Conference (pp. 273-285). Springer International Publishing. doi:10.1007/978-3-030-63799-6_21

DOI: 10.1007/978-3-030-63799-6_21

Adversarial Domain Adaptation for Crisis Data Classification on Social Media (Conference Paper)

Chen, Q., Wang, W., Huang, K., De, S., & Coenen, F. (2020). Adversarial Domain Adaptation for Crisis Data Classification on Social Media. In 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData) and IEEE Congress on Cybermatics (Cybermatics). IEEE. doi:10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00061

DOI: 10.1109/ithings-greencom-cpscom-smartdata-cybermatics50389.2020.00061

Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region (Journal article)

El-Salhi, S., Al-Haj, S., & Coenen, F. (n.d.). Census Estimation using Histogram Representation of 3D Surfaces: A Case Study Focusing on the Karak Region. International Journal of Advanced Computer Science and Applications, 11(10). doi:10.14569/ijacsa.2020.0111087

DOI: 10.14569/ijacsa.2020.0111087

Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology (Conference Paper)

Coenen, F., Alharbi, Y., & Arribas-Bel, D. (2020). Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology. In Lecture Notes in Computer Science Vol. 12393 (pp. 183-196). Bratislava, Slovakia: Springer Nature.

Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media (Conference Paper)

Chen, Q., Wang, W., Huang, K., De, S., & Coenen, F. (2020). Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. In 2020 IEEE INTERNATIONAL CONFERENCE ON SMART COMPUTING (SMARTCOMP) (pp. 232-237). doi:10.1109/SMARTCOMP50058.2020.00051

DOI: 10.1109/SMARTCOMP50058.2020.00051

What matters when managing childhood fever in the emergency department? A discrete-choice experiment comparing the preferences of parents and healthcare professionals in the UK (Journal article)

Leigh, S., Robinson, J., Yeung, S., Coenen, F., Carrol, E. D., & Niessen, L. W. (2020). What matters when managing childhood fever in the emergency department? A discrete-choice experiment comparing the preferences of parents and healthcare professionals in the UK. ARCHIVES OF DISEASE IN CHILDHOOD, 105(8), 765-771. doi:10.1136/archdischild-2019-318209

DOI: 10.1136/archdischild-2019-318209

Sustainable Development Goal Relational Modelling: Introducing the SDG-RMF Methodology (Internet publication)

Alharbi, Y., Coenen, F., & Arribas-Bel, D. (2020). Sustainable Development Goal Relational Modelling: Introducing the SDG-RMF Methodology. Retrieved from https://crcs.seas.harvard.edu/

Evaluating Co-reference Chains based Conversation History in Conversational Question Answering (Conference Paper)

Mandya, A. A., Bollegala, D., & Coenen, F. P. (2020). Evaluating Co-reference Chains based Conversation History in Conversational Question Answering. In L. -M. Nguyen, X. -H. Phan, K. Hasida, & S. Tojo (Eds.), Computational Linguistics (pp. 283-292). Singapore: Springer. doi:10.1007/978-981-15-6168-9_24

DOI: 10.1007/978-981-15-6168-9_24

Secure Third Party Data Clustering Using SecureCL, Φ-Data and Multi-User Order Preserving Encryption (Journal article)

Coenen, F., & Nawal, A. (2020). Secure Third Party Data Clustering Using SecureCL, Φ-Data and Multi-User Order Preserving Encryption. Expert Systems.

<i>Do not let the history haunt you</i> - Mitigating Compounding Errors in Conversational Question Answering (Conference Paper)

Mandya, A., O'Neill, J., Bollegala, D., & Coenen, F. (2020). <i>Do not let the history haunt you</i> - Mitigating Compounding Errors in Conversational Question Answering. In PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020) (pp. 2017-2025). Retrieved from https://www.webofscience.com/

Do not let the history haunt you -- Mitigating Compounding Errors in Conversational Question Answering (Preprint)

DOI: 10.48550/arxiv.2005.05754

Contextualised Graph Attention for Improved Relation Extraction (Journal article)

Mandya, A., Bollegala, D., & Coenen, F. (2020). Contextualised Graph Attention for Improved Relation Extraction. Retrieved from http://arxiv.org/abs/2004.10624v1

Contextualised Graph Attention for Improved Relation Extraction (Preprint)

DOI: 10.48550/arxiv.2004.10624

Knowledge Base Enrichment by Relation Learning from Social Tagging Data (Journal article)

Dong, H., Wang, W., Coenen, F., & Huang, K. (2020). Knowledge Base Enrichment by Relation Learning from Social Tagging Data. Information Sciences. doi:10.1016/j.ins.2020.04.002

DOI: 10.1016/j.ins.2020.04.002

Querrying Encrypted Data in Graph Databases (Conference Paper)

Coenen, F. P., Lisitsa, A., & Aburawi, N. N. (2020). Querrying Encrypted Data in Graph Databases.

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data (Journal article)

Celik, N., O’Brien, F., Brennan, S., Rainbow, R. D., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (2020). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. Communications Biology, 3, 1-10. doi:10.1038/s42003-019-0729-3

DOI: 10.1038/s42003-019-0729-3

Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering (Chapter)

Mandya, A., Bollegala, D., & Coenen, F. (2020). Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering. In Computational Linguistics (Vol. 1215, pp. 280-292). Springer Nature. doi:10.1007/978-981-15-6168-9_24

DOI: 10.1007/978-981-15-6168-9_24

Experiments in non-personalized future blood glucose level prediction (Conference Paper)

Bevan, R., & Coenen, F. (2020). Experiments in non-personalized future blood glucose level prediction. In CEUR Workshop Proceedings Vol. 2675 (pp. 100-104).

From Semi-automated to Automated Methods of Ontology Learning from Twitter Data (Conference Paper)

Alajlan, S., Coenen, F., & Mandya, A. (2020). From Semi-automated to Automated Methods of Ontology Learning from Twitter Data. In Unknown Conference (pp. 213-236). Springer International Publishing. doi:10.1007/978-3-030-66196-0_10

DOI: 10.1007/978-3-030-66196-0_10

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction (Conference Paper)

Mandya, A., Bollegala, D., & Coenen, F. (2020). Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. In Proceedings of the 28th International Conference on Computational Linguistics. International Committee on Computational Linguistics. doi:10.18653/v1/2020.coling-main.565

DOI: 10.18653/v1/2020.coling-main.565

In-Bed Human Pose Classification Using Sparse Inertial Signals (Chapter)

Elnaggar, O., Coenen, F., & Paoletti, P. (2020). In-Bed Human Pose Classification Using Sparse Inertial Signals. In Lecture Notes in Computer Science (pp. 331-344). Springer International Publishing. doi:10.1007/978-3-030-63799-6_25

DOI: 10.1007/978-3-030-63799-6_25

Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience (Conference Paper)

Muhammad, I., Bollegala, D., Coenen, F., Gamble, C., Kearney, A., & Williamson, P. (2020). Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience. In Unknown Conference (pp. 345-357). Springer International Publishing. doi:10.1007/978-3-030-63799-6_26

DOI: 10.1007/978-3-030-63799-6_26

Open Information Extraction for Knowledge Graph Construction (Conference Paper)

Muhammad, I., Kearney, A., Gamble, C., Coenen, F., & Williamson, P. (2020). Open Information Extraction for Knowledge Graph Construction. In Unknown Conference (pp. 103-113). Springer International Publishing. doi:10.1007/978-3-030-59028-4_10

DOI: 10.1007/978-3-030-59028-4_10

Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices (Conference Paper)

Almutairi, N., Coenen, F., & Dures, K. (2020). Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices. In Unknown Conference (pp. 3-24). Springer International Publishing. doi:10.1007/978-3-030-49559-6_1

DOI: 10.1007/978-3-030-49559-6_1

2019

Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents (Conference Paper)

Torrisi, A., Bevan, R., Atkinson, K., Bollegala, D., & Coenen, F. (2019). Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. In LEGAL KNOWLEDGE AND INFORMATION SYSTEMS (JURIX 2019) Vol. 322 (pp. 223-228). doi:10.3233/FAIA190329

DOI: 10.3233/FAIA190329

Effective Sub-Sequence-Based Dynamic Time Warping (Conference Paper)

Coenen, F. P., Dures, K., & Alshehri, M. (2019). Effective Sub-Sequence-Based Dynamic Time Warping. In SGAI 2019: Artificial Intelligence XXXVI (pp. 293).

Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data (Journal article)

Celik, N., O’Brien, F., Brennan, S., Rainbow, R., Dart, C., Zheng, Y., . . . Barrett-Jolley, R. (n.d.). Deep-Channel uses deep neural networks to detect single-molecule events from patch-clamp data. BioRxiv. doi:10.1101/767418

DOI: 10.1101/767418

A Cryptographic Ensemble for Secure Third Party Data Analysis: Collaborative Data Clustering Without Data Owner Participation (Journal article)

Almutairi, S. T., Coenen, F. P., & Dures, K. (2019). A Cryptographic Ensemble for Secure Third Party Data Analysis: Collaborative Data Clustering Without Data Owner Participation. Knowledge and Data Engineering. doi:10.1016/j.datak.2019.101734

DOI: 10.1016/j.datak.2019.101734

Automated Bundle Pagination Using Machine Learning (Conference Paper)

Torrisi, A., Bevan, R., Atkinson, K., Bollegala, D., & Coenen, F. (2019). Automated Bundle Pagination Using Machine Learning. In Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law. ACM. doi:10.1145/3322640.3326726

DOI: 10.1145/3322640.3326726

The cost of diagnostic uncertainty: a prospective economic analysis of febrile children attending an NHS emergency department (Journal article)

Leigh, S., Grant, A., Murray, N., Faragher, B., Desai, H., Dolan, S., . . . Carrol, E. D. (2019). The cost of diagnostic uncertainty: a prospective economic analysis of febrile children attending an NHS emergency department. BMC Medicine, 17. doi:10.1186/s12916-019-1275-z

DOI: 10.1186/s12916-019-1275-z

Modified framework for sarcasm detection and classification in sentiment analysis (Journal article)

Coenen, F. P., Suhaimin, M. S. M., Hijazi, M. H. A., & Alfred, R. (n.d.). Modified framework for sarcasm detection and classification in sentiment analysis. Indonesian Journal of Electrical Engineering and Computer Science. doi:10.11591/ijeecs.v13.i3.pp1175-1183

DOI: 10.11591/ijeecs.v13.i3.pp1175-1183

Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches (Journal article)

Guan, C., Yuen, K. K. F., & Coenen, F. (2019). Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches. Swarm and Evolutionary Computation, 44, 876-896. doi:10.1016/j.swevo.2018.09.008

DOI: 10.1016/j.swevo.2018.09.008

A Dataset for Inter-Sentence Relation Extraction using Distant Supervision (Conference Paper)

Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. In PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018) (pp. 1559-1565). Retrieved from https://www.webofscience.com/

Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain (Chapter)

Alshehri, A., Coenen, F., & Bollegala, D. (2019). Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain. In Communications in Computer and Information Science (pp. 43-66). Springer International Publishing. doi:10.1007/978-3-030-15640-4_3

DOI: 10.1007/978-3-030-15640-4_3

Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram (Conference Paper)

Alhijailan, H., & Coenen, F. (2019). Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 266-273). doi:10.5220/0008018902660273

DOI: 10.5220/0008018902660273

Extracting supporting evidence from medical negligence claim texts (Conference Paper)

Bevany, R., Torrisiy, A., Bollegalay, D., Coeneny, F., & Atkinsony, K. (2019). Extracting supporting evidence from medical negligence claim texts. In CEUR Workshop Proceedings Vol. 2429 (pp. 50-54).

Feature visualisation of classification of diabetic retinopathy using a convolutional neural network (Conference Paper)

Pratt, H., Coenen, F., Harding, S. P., Broadbent, D. M., & Zheng, Y. (2019). Feature visualisation of classification of diabetic retinopathy using a convolutional neural network. In CEUR Workshop Proceedings Vol. 2429 (pp. 23-29).

Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection (Chapter)

Coenen, F., & Dittakan, K. (2019). Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection. In Communications in Computer and Information Science (pp. 3-27). Springer International Publishing. doi:10.1007/978-3-319-99701-8_1

DOI: 10.1007/978-3-319-99701-8_1

Joint Multi-Label Attention Networks for Social Text Annotation (Conference Paper)

Dong, H., Wang, W., Huang, K., & Coenen, F. (2019). Joint Multi-Label Attention Networks for Social Text Annotation. In 2019 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES (NAACL HLT 2019), VOL. 1 (pp. 1348-1354). Retrieved from https://www.webofscience.com/

Motif Discovery in Long Time Series: Classifying Phonocardiograms (Conference Paper)

Alhijailan, H., & Coenen, F. (2019). Motif Discovery in Long Time Series: Classifying Phonocardiograms. In ARTIFICIAL INTELLIGENCE XXXVI Vol. 11927 (pp. 198-212). doi:10.1007/978-3-030-34885-4_16

DOI: 10.1007/978-3-030-34885-4_16

Ontology Learning from Twitter Data (Conference Paper)

Alajlan, S., Coenen, F., Konev, B., & Mandya, A. (2019). Ontology Learning from Twitter Data. In KEOD: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 2: KEOD (pp. 94-103). doi:10.5220/0008067600940103

DOI: 10.5220/0008067600940103

Preface (Conference Paper)

Wiratunga, N., Coenen, F., & Sani, S. (2019). Preface. In CEUR Workshop Proceedings Vol. 2429 (pp. II).

Sub-Sequence-Based Dynamic Time Warping (Conference Paper)

Alshehri, M., Coenen, F., & Dures, K. (2019). Sub-Sequence-Based Dynamic Time Warping. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 274-281). doi:10.5220/0008053402740281

DOI: 10.5220/0008053402740281

Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling (Conference Paper)

Alharbi, Y., Arribas-Be, D., & Coenen, F. (2019). Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling. In KDIR: PROCEEDINGS OF THE 11TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT - VOL 1: KDIR (pp. 297-304). doi:10.5220/0008067202970304

DOI: 10.5220/0008067202970304

2018

Secure Third Party Data Clustering Using Φ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Conference Paper)

Coenen, F. P., Almutairi, N., & Dures, K. (2018). Secure Third Party Data Clustering Using Φ Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices. In Springer. Cambridge: Springer Nature.

Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction (Journal article)

Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. Retrieved from http://arxiv.org/abs/1811.00845v1

Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction (Preprint)

DOI: 10.48550/arxiv.1811.00845

Iterative Keystroke Continuous Authentication: A Time Series Based Approach (Journal article)

Alshehri, A., Coenen, F., & Bollegala, D. (2018). Iterative Keystroke Continuous Authentication: A Time Series Based Approach. KUNSTLICHE INTELLIGENZ, 32(4), 231-243. doi:10.1007/s13218-018-0526-z

DOI: 10.1007/s13218-018-0526-z

POSTER: A Re-evaluation of Intrusion Detection Accuracy: an Alternative Evaluation Strategy (Conference Paper)

Al-Riyami, S., Coenen, F., & Lisitsa, A. (2018). POSTER: A Re-evaluation of Intrusion Detection Accuracy: an Alternative Evaluation Strategy. In PROCEEDINGS OF THE 2018 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'18) (pp. 2195-2197). doi:10.1145/3243734.3278490

DOI: 10.1145/3243734.3278490

Multi-Dimensional Banded Pattern Mining (Conference Paper)

Abdullahi, F., & Coenen, F. (2018). Multi-Dimensional Banded Pattern Mining.

Segmenting sound waves to support Phonocardiogram analysis: the PCGseg Approach (Conference Paper)

Alhijaillan, H., Coenen, F., Dukes-McEwan, J., & Thiyalgalingam, J. (2018). Segmenting sound waves to support Phonocardiogram analysis: the PCGseg Approach. In Society for the study of artificial intelligence and simulation of behaviour (AISB). Liverpool.

A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification (Journal article)

Cui, X., Al-Bazzaz, N., Bollegala, D., & Coenen, F. (2018). A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification. KNOWLEDGE ENGINEERING REVIEW, 33. doi:10.1017/S0269888918000085

DOI: 10.1017/S0269888918000085

Attributes-oriented clothing description and retrieval with multi-task convolutional neural network (Conference Paper)

Xia, Y., Chen, B., Lu, W., Coenen, F., & Zhang, B. (2017). Attributes-oriented clothing description and retrieval with multi-task convolutional neural network. In 2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD). IEEE. doi:10.1109/fskd.2017.8393378

DOI: 10.1109/fskd.2017.8393378

Multilingual and Skew License Plate Detection Based on Extremal Regions (Conference Paper)

Qian, R., Zhang, B., Coenen, F., & Yue, Y. (2017). Multilingual and Skew License Plate Detection Based on Extremal Regions. In 2017 13TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) (pp. 850-855). Retrieved from https://www.webofscience.com/

Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral (Journal article)

Coenen, F. P., Pratt, H., Zheng, Y., Harding, S., Williams, B., & Broadbent, D. (2018). Automated Diagnosis of Fundus Camera Images for Diabetic Retinopathy for Treatment Referral. European Journal of Ophthalmology.

Performance of Case-Based Reasoning Retrieval Using Classification Based on Associations versus Jcolibri and FreeCBR: A Further Validation Study (Conference Paper)

Aljuboori, A. S., Coenen, F., Nsaif, M., & Parsons, D. J. (2018). Performance of Case-Based Reasoning Retrieval Using Classification Based on Associations versus Jcolibri and FreeCBR: A Further Validation Study. In Journal of Physics: Conference Series Vol. 1003 (pp. 012130). IOP Publishing. doi:10.1088/1742-6596/1003/1/012130

DOI: 10.1088/1742-6596/1003/1/012130

Mechanism for Sarcasm Detection and Classification in Malay Social Media (Journal article)

Suhaimin, M. S. M., Hijazi, M. H. A., Alfred, R., & Coenen, F. (2018). Mechanism for Sarcasm Detection and Classification in Malay Social Media. Advanced Science Letters, 24(2), 1388-1392. doi:10.1166/asl.2018.10755

DOI: 10.1166/asl.2018.10755

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography (Journal article)

Pratt, H., Williams, B. M., Ku, J. Y., Vas, C., McCann, E., Al-Bander, B., . . . Zheng, Y. (2018). Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. JOURNAL OF IMAGING, 4(1). doi:10.3390/jimaging4010004

DOI: 10.3390/jimaging4010004

Classifier-Based Pattern Selection Approach for Relation Instance Extraction (Conference Paper)

Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Classifier-Based Pattern Selection Approach for Relation Instance Extraction. In COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2017), PT I Vol. 10761 (pp. 418-434). doi:10.1007/978-3-319-77113-7_33

DOI: 10.1007/978-3-319-77113-7_33

Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices (Conference Paper)

Almutairi, N., Coenen, F., & Dures, K. (2018). Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. In Proceedings of the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006890800410050

DOI: 10.5220/0006890800410050

Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. (Conference Paper)

Almutairi, N., Coenen, F., & Dures, K. (2018). Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices.. In A. L. N. Fred, & J. Filipe (Eds.), KDIR (pp. 39-48). SciTePress. Retrieved from http://www.informatik.uni-trier.de/~ley/db/conf/ic3k/kdir2018.html

Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning (Conference Paper)

Coenen, F. P., Bevan, R., Torrisi, A., Atkinson, K., & Bollegala, D. (n.d.). Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. In JURIX 2018.

Frame-Based Semantic Patterns for Relation Extraction (Conference Paper)

Mandya, A., Bollegala, D., Coenen, F., & Atkinson, K. (2018). Frame-Based Semantic Patterns for Relation Extraction. In COMPUTATIONAL LINGUISTICS, PACLING 2017 Vol. 781 (pp. 51-62). doi:10.1007/978-981-10-8438-6_5

DOI: 10.1007/978-981-10-8438-6_5

Learning relations from social tagging data (Conference Paper)

Dong, H., Wang, W., & Coenen, F. (2018). Learning Relations from Social Tagging Data. In PRICAI 2018: TRENDS IN ARTIFICIAL INTELLIGENCE, PT I Vol. 11012 (pp. 29-41). doi:10.1007/978-3-319-97304-3_3

DOI: 10.1007/978-3-319-97304-3_3

Location-aware convolutional neural networks based breast tumor detection (Conference Paper)

Huafeng Hu., Coenen, F., Fei Ma., Thiyagalingam, J., & Jionglong Su. (2018). Location-aware convolutional neural networks based breast tumor detection. In IET Doctoral Forum on Biomedical Engineering, Healthcare, Robotics and Artificial Intelligence 2018 (BRAIN 2018). Institution of Engineering and Technology. doi:10.1049/cp.2018.1724

DOI: 10.1049/cp.2018.1724

Querying Encrypted Graph Databases (Conference Paper)

Aburawi, N., Lisitsa, A., & Coenen, F. (2018). Querying Encrypted Graph Databases. In ICISSP: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (pp. 447-451). doi:10.5220/0006660004470451

DOI: 10.5220/0006660004470451

Rules for inducing hierarchies from social tagging data (Conference Paper)

Dong, H., Wang, W., & Coenen, F. (2018). Rules for Inducing Hierarchies from Social Tagging Data. In TRANSFORMING DIGITAL WORLDS, ICONFERENCE 2018 Vol. 10766 (pp. 345-355). doi:10.1007/978-3-319-78105-1_38

DOI: 10.1007/978-3-319-78105-1_38

Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication (Conference Paper)

Alshehri, A., Coenen, F., & Bollegala, D. (2018). Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication. In ICISSP: PROCEEDINGS OF THE 4TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (pp. 62-73). doi:10.5220/0006606100620073

DOI: 10.5220/0006606100620073

Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix (Conference Paper)

Almutairi, N., Coenen, F., & Dures, K. (2018). Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY (DAWAK 2018) Vol. 11031 (pp. 163-173). doi:10.1007/978-3-319-98539-8_13

DOI: 10.1007/978-3-319-98539-8_13

Traversal-aware Encryption Adjustment for Graph Databases (Conference Paper)

Aburawi, N., Coenen, F., & Lisitsa, A. (2018). Traversal-aware Encryption Adjustment for Graph Databases. In Proceedings of the 7th International Conference on Data Science, Technology and Applications. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006916403810387

DOI: 10.5220/0006916403810387

2017

FCNNs: Fourier Convolutional Neural Networks (Conference Paper)

Pratt, H., Williams, B. M., Coenen, F. P., & Zheng, Y. (2017). FCNNs: Fourier Convolutional Neural Networks. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2017 Vol. 10534 (pp. 786-798). doi:10.1007/978-3-319-71249-9_47

DOI: 10.1007/978-3-319-71249-9_47

TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation (Conference Paper)

Coenen, F. P., Cui., & bollegala. (2017). TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. In ECML-PKDD.

Spectral Keyboard Streams: Towards Effective and Continuous Authentication (Conference Paper)

Coenen, F. P., alshehri., & bollegala. (2017). Spectral Keyboard Streams: Towards Effective and Continuous Authentication.

Mining the information architecture of the WWW using automated website boundary detection (Journal article)

Alshukri, A., & Coenen, F. (2017). Mining the information architecture of the WWW using automated website boundary detection. WEB INTELLIGENCE, 15(4), 269-290. doi:10.3233/WEB-170365

DOI: 10.3233/WEB-170365

Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts (Conference Paper)

Suhaimin, M. S. M., Hijazi, M. H. A., Alfred, R., & Coenen, F. (2017). Natural language processing based features for sarcasm detection: An investigation using bilingual social media texts. In 2017 8th International Conference on Information Technology (ICIT). IEEE. doi:10.1109/icitech.2017.8079931

DOI: 10.1109/icitech.2017.8079931

K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction (Conference Paper)

Coenen, F. P., Almutairi., & Dures, K. (2017). K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction. In 19th International Conference on Big Data Analytics and Knowledge Discovery. Lyon, France.

A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages (Conference Paper)

Coenen, F. P., Sedeeq, I., & Lisitsa. (2017). A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages.

A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification (Journal article)

Alshdaifat, E., Coenen, F., & Dures, K. (2017). A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification. INTERNATIONAL JOURNAL OF DATA WAREHOUSING AND MINING, 13(3), 73-90. doi:10.4018/IJDWM.2017070104

DOI: 10.4018/IJDWM.2017070104

Automatic detection and identification of retinal vessel junctions in colour fundus photography (Conference Paper)

Pratt, H., Williams, B. M., Ku, J., Coenen, F., & Zheng, Y. (2017). Automatic detection and identification of retinal vessel junctions in colour fundus photography. In Medical Image Understanding and Analysis (MIUA). Edinburgh.

CLIEL (Conference Paper)

García-Constantino, M., Atkinson, K., Bollegala, D., Chapman, K., Coenen, F., Roberts, C., & Robson, K. (2017). CLIEL. In Proceedings of the 16th edition of the International Conference on Articial Intelligence and Law. ACM. doi:10.1145/3086512.3086520

DOI: 10.1145/3086512.3086520

Reputation System Aggregation and Ageing Factor Selection using Subjective Opinions Classification (Conference Paper)

Coenen, F. P., abdeglmageed., & lisitsa. (2017). Reputation System Aggregation and Ageing Factor Selection using Subjective Opinions Classification.

On The Mining and Usage of Movement Patterns in Large Traffic Networks (Conference Paper)

Al-Zeyadi, M., Coenen, F., & Lisitsa, A. (2017). On The Mining and Usage of Movement Patterns in Large Traffic Networks. In 2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA AND SMART COMPUTING (BIGCOMP) (pp. 135-142). Retrieved from https://www.webofscience.com/

Bias aware lexicon-based Sentiment Analysis of Malay dialect on social media data: A study on the Sabah Language (Conference Paper)

Hijazi, M. H. A., Libin, L., Alfred, R., & Coenen, F. (2016). Bias aware lexicon-based Sentiment Analysis of Malay dialect on social media data: A study on the Sabah Language. In 2016 2nd International Conference on Science in Information Technology (ICSITech). IEEE. doi:10.1109/icsitech.2016.7852662

DOI: 10.1109/icsitech.2016.7852662

Clustering of Tweet Users Based on Optimal Sets (Conference Paper)

Coenen, F. P., Dutta, A., & Paul, A. (2017). Clustering of Tweet Users Based on Optimal Sets.

Algorithm for Finding Influential User: Based on User's Information Diffusion Region (Conference Paper)

Namtirtha, A., Gupta, S., Dutta, A., Dutta, B., & Coenen, F. (2016). Algorithm for Finding Influential User: Based on User's Information Diffusion Region. In PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) (pp. 2734-2738). Retrieved from https://www.webofscience.com/

Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming (Conference Paper)

Alshehri, A., Coenen, F., & Bollegala, D. (2017). Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006497200610070

DOI: 10.5220/0006497200610070

Attribute Permutation Steganography Detection using Attribute Position Changes Count (Conference Paper)

Sedeeq, I., Coenen, F., & Lisitsa, A. (2017). Attribute Permutation Steganography Detection using Attribute Position Changes Count. In ICISSP: PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (pp. 95-100). doi:10.5220/0006166400950100

DOI: 10.5220/0006166400950100

Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies. (Conference Paper)

Cui, X., Coenen, F., & Bollegala, D. (2017). Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies.. In LIDTA@PKDD/ECML Vol. 74 (pp. 103-115). PMLR. Retrieved from http://proceedings.mlr.press/v74/

Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations (Conference Paper)

Tufail, M., Coenen, F., & Mu, T. (2017). Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations. In Unknown Conference (pp. 128-140). Springer International Publishing. doi:10.1007/978-3-319-67477-3_7

DOI: 10.1007/978-3-319-67477-3_7

User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network (Conference Paper)

Al-Zeyadi, M., Coenen, F., & Lisitsa, A. (2017). User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network. In Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management. SCITEPRESS - Science and Technology Publications. doi:10.5220/0006494601730180

DOI: 10.5220/0006494601730180

Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration (Journal article)

Albarrak, A., Coenen, F., & Zheng, Y. (2017). Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration. COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 55, 113-123. doi:10.1016/j.compmedimag.2016.07.007

DOI: 10.1016/j.compmedimag.2016.07.007

2016

Towards Keystroke Continuous Authentication Using Time Series Analytics (Conference Paper)

Alshehri, A., Coenen, F., & Bollegala, D. (2016). Towards Keystroke Continuous Authentication Using Time Series Analytics. In Unknown Conference (pp. 325-339). Springer International Publishing. doi:10.1007/978-3-319-47175-4_24

DOI: 10.1007/978-3-319-47175-4_24

The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework (Journal article)

Nohuddin, P., Coenen, F., & Christley, R. (2016). The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework. Social Network Analysis and Mining, 6(1). doi:10.1007/s13278-016-0353-x

DOI: 10.1007/s13278-016-0353-x

Face Occlusion Detection Using Deep Convolutional Neural Networks (Journal article)

Xia, Y., Zhang, B., & Coenen, F. (2016). Face Occlusion Detection Using Deep Convolutional Neural Networks. International Journal of Pattern Recognition and Artificial Intelligence, 30(09), 1660010. doi:10.1142/s0218001416600107

DOI: 10.1142/s0218001416600107

Road Surface Traffic Sign Detection with Hybrid Region Proposal and Fast R-CNN (Conference Paper)

Qian, R., Liu, Q., Yue, Y., Coenen, F., & Zhang, B. (2016). Road Surface Traffic Sign Detection with Hybrid Region Proposal and Fast R-CNN. In 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) (pp. 555-559). Retrieved from https://www.webofscience.com/

Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions (Conference Paper)

Qian, R., Yue, Y., Coenen, F., & Zhang, B. (2016). Traffic Sign Recognition with Convolutional Neural Network Based on Max Pooling Positions. In 2016 12TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (ICNC-FSKD) (pp. 578-582). Retrieved from https://www.webofscience.com/

Keyboard Usage Authentication using Multi-variant Time Series Analysis (Conference Paper)

Coenen, F. P., Alshehri., & Bollegala. (2016). Keyboard Usage Authentication using Multi-variant Time Series Analysis. In Springer LNCS. Porto, Portugal.

Traffic sign recognition using visual attribute learning and convolutional neural network (Conference Paper)

Qian, R. -Q., Yue, Y., Coenen, F., & Zhang, B. -L. (2016). Traffic sign recognition using visual attribute learning and convolutional neural network. In 2016 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE. doi:10.1109/icmlc.2016.7860932

DOI: 10.1109/ICMLC.2016.7860932

Visual Attribute Classification Using Feature Selection and Convolutional Neural Network (Conference Paper)

Qian, R., Yue, Y., Coenen, F., & Zhang, B. (2016). Visual Attribute Classification Using Feature Selection and Convolutional Neural Network. In PROCEEDINGS OF 2016 IEEE 13TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP 2016) (pp. 649-653). Retrieved from https://www.webofscience.com/

Multi Agent Based Simulation Using Movement Patterns Mined from Video Data (Conference Paper)

Tufail, M., Coenen, F., Hurst, J., & Mu, T. (2015). Multi Agent Based Simulation Using Movement Patterns Mined from Video Data. In Unknown Conference (pp. 275-287). Springer International Publishing. doi:10.1007/978-3-319-25032-8_21

DOI: 10.1007/978-3-319-25032-8_21

Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features (Journal article)

Yan, C., Coenen, F., Yue, Y., Yang, X., & Zhang, B. (2016). Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 30(5). doi:10.1142/S0218001416500105

DOI: 10.1142/S0218001416500105

Mining frequent itemsets using the N-list and subsume concepts (Journal article)

Vo, B., Le, T., Coenen, F., & Hong, T. -P. (2016). Mining frequent itemsets using the N-list and subsume concepts. International Journal of Machine Learning and Cybernetics, 7(2), 253-265. doi:10.1007/s13042-014-0252-2

DOI: 10.1007/s13042-014-0252-2

Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data (Conference Paper)

Abdullahi, F., Coenen, F. P., & Martin, R. (2016). Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data.

Driving posture recognition by convolutional neural networks (Journal article)

Yan, C., Coenen, F., & Zhang, B. (2016). Driving posture recognition by convolutional neural networks. IET COMPUTER VISION, 10(2), 103-114. doi:10.1049/iet-cvi.2015.0175

DOI: 10.1049/iet-cvi.2015.0175

A Statistical Approach to The Detection of HTML Attribute Permutation. (Conference Paper)

Coenen, F. P., lisitsa., & sedeeq. (2016). A Statistical Approach to The Detection of HTML Attribute Permutation..

Multi-attributes Gait Identification by Convolutional Neural Networks (Conference Paper)

Yan, C., Zhang, B., & Coenen, F. (2015). Multi-attributes Gait Identification by Convolutional Neural Networks. In 2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) (pp. 642-647). Retrieved from https://www.webofscience.com/

Recognizing Driver Inattention by Convolutional Neural Networks (Conference Paper)

Yan, C., Jiang, H., Zhang, B., & Coenen, F. (2015). Recognizing Driver Inattention by Convolutional Neural Networks. In 2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP) (pp. 680-685). Retrieved from https://www.webofscience.com/

Face occlusion detection based on multi-task convolution neural network (Conference Paper)

Yizhang Xia., Bailing Zhang., & Coenen, F. (2015). Face occlusion detection based on multi-task convolution neural network. In 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE. doi:10.1109/fskd.2015.7381971

DOI: 10.1109/fskd.2015.7381971

Traffic Sign Detection by Template Matching based on Multi-Level Chain Code Histogram (Conference Paper)

Qian, R., Zhang, B., Yue, Y., & Coenen, F. (2015). Traffic Sign Detection by Template Matching based on Multi-Level Chain Code Histogram. In 2015 12TH INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY (FSKD) (pp. 2400-2404). Retrieved from https://www.webofscience.com/

Towards An Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy (Conference Paper)

Guan, C., Yuen, K. K. F., & Coenen, F. (2015). Towards An Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. In 2015 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC 2015): BIG DATA ANALYTICS FOR HUMAN-CENTRIC SYSTEMS (pp. 2039-2042). doi:10.1109/SMC.2015.356

DOI: 10.1109/SMC.2015.356

Driving posture recognition by convolutional neural networks (Conference Paper)

Chao Yan., Zhang, B., & Coenen, F. (2015). Driving posture recognition by convolutional neural networks. In 2015 11th International Conference on Natural Computation (ICNC). IEEE. doi:10.1109/icnc.2015.7378072

DOI: 10.1109/icnc.2015.7378072

Robust Chinese Traffic Sign Detection and Recognition with Deep Convolutional Neural Network (Conference Paper)

Qian, R., Zhang, B., Yue, Y., Wang, Z., & Coenen, F. (2015). Robust Chinese Traffic Sign Detection and Recognition with Deep Convolutional Neural Network. In 2015 11TH INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION (ICNC) (pp. 791-796). Retrieved from https://www.webofscience.com/

3-D Volume of Interest Based Image Classification (Conference Paper)

Udomchaiporn, A., Coenen, F., Garcia-Finana, M., & Sluming, V. (2016). 3-D Volume of Interest Based Image Classification. In PRICAI 2016: TRENDS IN ARTIFICIAL INTELLIGENCE Vol. 9810 (pp. 543-555). doi:10.1007/978-3-319-42911-3_45

DOI: 10.1007/978-3-319-42911-3_45

A Statistical Approach to the Detection of HTML Attribute Permutation Steganography (Conference Paper)

Iman, S., Frans, C., & Alexei, L. (2016). A Statistical Approach to the Detection of HTML Attribute Permutation Steganography. In Proceedings of the 2nd International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and and Technology Publications. doi:10.5220/0005801705220527

DOI: 10.5220/0005801705220527

Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data (Conference Paper)

Abdullahi, F. B., Coenen, F., & Martin, R. (2016). Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data. In Unknown Conference (pp. 1-31). Springer Berlin Heidelberg. doi:10.1007/978-3-662-49784-5_1

DOI: 10.1007/978-3-662-49784-5_1

Convolutional Neural Networks for Diabetic Retinopathy (Conference Paper)

Pratt, H., Coenen, F., Broadbent, D. M., Harding, S. P., & Zheng, Y. (2016, July 6). Convolutional Neural Networks for Diabetic Retinopathy. In Procedia Computer Science Vol. 90 (pp. 200-205). Loughbrough University: Elsevier. doi:10.1016/j.procs.2016.07.014

DOI: 10.1016/j.procs.2016.07.014

Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery (Conference Paper)

Dittakan, K., & Coenen, F. (2016). Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery. In Unknown Conference (pp. 93-105). Springer International Publishing. doi:10.1007/978-3-319-42911-3_8

DOI: 10.1007/978-3-319-42911-3_8

Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes (Conference Paper)

Al-Zeyadi, M., Coenen, F., & Lisitsa, A. (2016). Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes. In Unknown Conference (pp. 53-67). Springer International Publishing. doi:10.1007/978-3-319-47175-4_4

DOI: 10.1007/978-3-319-47175-4_4

nDrites: Enabling Laboratory Resource Multi-agent Systems (Conference Paper)

Atkinson, K., Coenen, F., Goddard, P., Payne, T. R., & Riley, L. (2016). nDrites: Enabling Laboratory Resource Multi-agent Systems. In ENGINEERING MULTI-AGENT SYSTEMS, EMAS 2016 Vol. 10093 (pp. 1-21). doi:10.1007/978-3-319-50983-9_1

DOI: 10.1007/978-3-319-50983-9_1

2015

Finding Banded Patterns in Big Data Using Sampling (Conference Paper)

Abdullahi, F. B., Coenen, F., & Martin, R. (2015). Finding Banded Patterns in Big Data Using Sampling. In PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (pp. 2233-2242). Retrieved from https://www.webofscience.com/

Scalable Distributed Collaborative Tracking and Mapping with Micro Aerial Vehicles (Conference Paper)

Williams, R., Konev, B., & Coenen, F. (2015). Scalable Distributed Collaborative Tracking and Mapping with Micro Aerial Vehicles. In 2015 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS) (pp. 3092-3097). Retrieved from https://www.webofscience.com/

Erratum to: One-class kernel subspace ensemble for medical image classification (Journal article)

Zhang, Y., Zhang, B., Coenen, F., Xiao, J., & Lu, W. (2015). Erratum to: One-class kernel subspace ensemble for medical image classification. EURASIP Journal on Advances in Signal Processing, 2015(1). doi:10.1186/s13634-015-0274-2

DOI: 10.1186/s13634-015-0274-2

An intelligent process model: predicting springback in single point incremental forming (Journal article)

Khan, M. S., Coenen, F., Dixon, C., El-Salhi, S., Penalva, M., & Rivero, A. (2015). An intelligent process model: predicting springback in single point incremental forming. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 76(9-12), 2071-2082. doi:10.1007/s00170-014-6431-1

DOI: 10.1007/s00170-014-6431-1

Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs (Conference Paper)

Yu, W., Coenen, F., Zito, M., & Dittakan, K. (2014). Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs. In 2014 IEEE International Conference on Data Mining Workshop (ICDMW) (pp. 47-54). doi:10.1109/ICDMW.2014.125

DOI: 10.1109/ICDMW.2014.125

A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification (Conference Paper)

Alshdaifat, E., Coenen, F., & Dures, K. (2015). A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification. In Unknown Conference (pp. 43-57). Springer International Publishing. doi:10.1007/978-3-319-25032-8_3

DOI: 10.1007/978-3-319-25032-8_3

Collaborating Low Cost Micro Aerial Vehicles: A Demonstration (Journal article)

Williams, R., Konev, B., & Coenen, F. (2015). Collaborating Low Cost Micro Aerial Vehicles: A Demonstration. TOWARDS AUTONOMOUS ROBOTIC SYSTEMS (TAROS 2015), 9287, 296-302. doi:10.1007/978-3-319-22416-9_33

DOI: 10.1007/978-3-319-22416-9_33

Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction (Conference Paper)

Atkinson, K., Coenen, F., Goddard, P., Payne, T., & Riley, L. (2015). Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY Vol. 9263 (pp. 283-295). doi:10.1007/978-3-319-22729-0_22

DOI: 10.1007/978-3-319-22729-0_22

Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm (Conference Paper)

Abdullahi, F. B., Coenen, F., & Martin, R. (2015). Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm. In BIG DATA ANALYTICS AND KNOWLEDGE DISCOVERY Vol. 9263 (pp. 95-107). doi:10.1007/978-3-319-22729-0_8

DOI: 10.1007/978-3-319-22729-0_8

Message from the workshop chairs (Conference Paper)

Yu, P. S., Cao, L., Zeng, Y., An, B., Symeonidis, A. L., Gorodetsky, V., & Coenen, F. (2015). Message from the workshop chairs. In Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) Vol. 9145 (pp. v-vi).

Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation (Conference Paper)

Tufail, M., Coenen, F., Mu, T., & Rind, S. J. (2015). Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation. In AGENTS AND DATA MINING INTERACTION (ADMI 2014) Vol. 9145 (pp. 38-51). doi:10.1007/978-3-319-20230-3_4

DOI: 10.1007/978-3-319-20230-3_4

Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming (Journal article)

El Salhi, S., Coenen, F., Dixon, C., & Khan, M. S. (2015). Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming. EXPERT SYSTEMS WITH APPLICATIONS, 42(1), 79-93. doi:10.1016/j.eswa.2014.07.041

DOI: 10.1016/j.eswa.2014.07.041

Visualisation of Trend Pattern Migrations in Social Networks (Conference Paper)

Nohuddin, P. N. E., Coenen, F., Christley, R., & Sunayama, W. (2015). Visualisation of Trend Pattern Migrations in Social Networks. In Unknown Conference (pp. 77-88). Springer International Publishing. doi:10.1007/978-3-319-25939-0_7

DOI: 10.1007/978-3-319-25939-0_7

2014

One-class kernel subspace ensemble for medical image classification (Journal article)

Zhang, Y., Zhang, B., Coenen, F., Xiao, J., & Lu, W. (2014). One-class kernel subspace ensemble for medical image classification. EURASIP Journal on Advances in Signal Processing, 2014(1). doi:10.1186/1687-6180-2014-17

DOI: 10.1186/1687-6180-2014-17

Age-related Macular Degeneration Screening using Data Mining Approaches (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Screening using Data Mining Approaches. In 2013 FIRST INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, MODELLING AND SIMULATION (AIMS 2013) (pp. 299-303). doi:10.1109/AIMS.2013.55

DOI: 10.1109/AIMS.2013.55

Trend mining in social networks: from trend identification to visualization (Journal article)

Nohuddin, P. N. E., Sunayama, W., Christley, R., Coenen, F., & Setzkorn, C. (2014). Trend mining in social networks: from trend identification to visualization. EXPERT SYSTEMS, 31(5), 457-468. doi:10.1111/exsy.12024

DOI: 10.1111/exsy.12024

A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks (Conference Paper)

Alshukri, A., & Coenen, F. (2014). A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks. In 2014 IEEE/WIC/ACM INTERNATIONAL JOINT CONFERENCES ON WEB INTELLIGENCE (WI) AND INTELLIGENT AGENT TECHNOLOGIES (IAT), VOL 2 (pp. 9-14). doi:10.1109/WI-IAT.2014.74

DOI: 10.1109/WI-IAT.2014.74

Cascading One-Class Kernel Subspace Ensembles for Reliable Biopsy Image Classification (Journal article)

Zhang, Y., Zhang, B., Coenen, F., & Lu, W. (2014). Cascading One-Class Kernel Subspace Ensembles for Reliable Biopsy Image Classification. Journal of Medical Imaging and Health Informatics, 4(2), 174-185. doi:10.1166/jmihi.2014.1238

DOI: 10.1166/jmihi.2014.1238

Data mining for AMD screening: A classification based approach (Journal article)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2014). Data mining for AMD screening: A classification based approach. International Journal of Simulation: Systems, Science and Technology, 15(2), 57-69. doi:10.5013/IJSSST.a.15.02.09

DOI: 10.5013/IJSSST.a.15.02.09

Driving Posture Recognition by Joint Application of Motion History Image and Pyramid Histogram of Oriented Gradients (Journal article)

Yan, C., Coenen, F., & Zhang, B. (2014). Driving Posture Recognition by Joint Application of Motion History Image and Pyramid Histogram of Oriented Gradients. International Journal of Vehicular Technology, 2014, 1-11. doi:10.1155/2014/719413

DOI: 10.1155/2014/719413

Driving Posture Recognition by Joint Application of Motion History Image and Pyramid histogram of Oriented Gradients (Conference Paper)

Yan, C., Coenen, F., & Zhang, B. (2014). Driving Posture Recognition by Joint Application of Motion History Image and Pyramid histogram of Oriented Gradients. In ADVANCES IN MECHATRONICS, AUTOMATION AND APPLIED INFORMATION TECHNOLOGIES, PTS 1 AND 2 Vol. 846-847 (pp. 1102-+). doi:10.4028/www.scientific.net/AMR.846-847.1102

DOI: 10.4028/www.scientific.net/AMR.846-847.1102

Driving Posture Recognition by a Hierarchal Classification System with Multiple Features (Conference Paper)

Yan, C., Zhang, B., & Coenen, F. (2014). Driving Posture Recognition by a Hierarchal Classification System with Multiple Features. In 2014 7TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP 2014) (pp. 83-88). Retrieved from https://www.webofscience.com/

3-D MRI Brain Scan Classification Using A Point Series Based Representation (Journal article)

Udomchaiporn, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2014). 3-D MRI Brain Scan Classification Using A Point Series Based Representation. Unknown Journal, 300-307. doi:10.1007/978-3-319-10160-6_27

DOI: 10.1007/978-3-319-10160-6_27

3-D MRI Brain Scan Classification of Epilepsy Versus Non-epilepsy (Conference Paper)

Udomchaiporn, A., Coenen, F., GarcÃa-FiÃ±ana, M., & Sluming, V. (2014). 3-D MRI Brain Scan Classification of Epilepsy Versus Non-epilepsy. In MIUA'14 (pp. 253-258). London: MIUA.

3D MRI Brain Scan Classification Using A Point Series Based Representation. (Conference Paper)

Udomchaiporn, A., Coenen, F., GarcÃa-FiÃ±ana, M., & Sluming, V. (2014). 3D MRI Brain Scan Classification Using A Point Series Based Representation.. In DaWaK'14 (pp. 12 pages). Munich: Springer.

A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks (Conference Paper)

Alshukri, A., & Coenen, F. (2014). A Dynamic Approach To The Website Boundary Detection Problem Using Random Walks. In WI'14 (pp. 12 pages). Warsaw: IEEE.

A Framework for Brand Reputation Mining and Visualisation (Conference Paper)

Alshukri, A., Coenen, F., Li, Y., Redfern, A., & Wong, P. W. H. (2014). A Framework for Brand Reputation Mining and Visualisation. In Unknown Conference (pp. 301-315). Springer International Publishing. doi:10.1007/978-3-319-12069-0_22

DOI: 10.1007/978-3-319-12069-0_22

A Framework for Brand Reputation Mining and Visualisation (Conference Paper)

Alshukri, A., Coenen, F., Li, Y., Redfern, A., & Wong, P. W. H. (2014). A Framework for Brand Reputation Mining and Visualisation. In AI 2014 (pp. 12 pages). Cambridge, UK: Springer.

A Multi-Path Strategy for Hierarchical Ensemble Classification (Conference Paper)

Alshdaifat, E., Coenen, F., & Dures, K. (2014). A Multi-Path Strategy for Hierarchical Ensemble Classification. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

A Multi-path Strategy for Hierarchical Ensemble Classification (Conference Paper)

Alshdaifat, E., Coenen, F., & Dures, K. (2014). A Multi-path Strategy for Hierarchical Ensemble Classification. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 198-212). Retrieved from https://www.webofscience.com/

A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores (Conference Paper)

Abdullahi, F. B., Coenen, F., & Martin, R. (2014). A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 58-72). Retrieved from https://www.webofscience.com/

A Scalable Algorithm for Banded Pattern Mining In Multi-Dimensional Zero-One Data (Conference Paper)

Abdullahi, F., Coenen, F., & Martin, R. (2014). A Scalable Algorithm for Banded Pattern Mining In Multi-Dimensional Zero-One Data. In DaWaK'14 (pp. 12 pages). Munich: Springer.

A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data (Conference Paper)

Abdullahi, F. B., Coenen, F., & Martin, R. (2014). A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data. In Unknown Conference (pp. 345-356). Springer International Publishing. doi:10.1007/978-3-319-10160-6_31

DOI: 10.1007/978-3-319-10160-6_31

Content-Based Readability Assessment: A Study Using A Syllabic Alphabetic Language (Thai) (Chapter)

Tongtep, N., Coenen, F., & Theeramunkong, T. (2014). Content-Based Readability Assessment: A Study Using A Syllabic Alphabetic Language (Thai). In Lecture Notes in Computer Science (pp. 863-870). Springer International Publishing. doi:10.1007/978-3-319-13560-1_71

DOI: 10.1007/978-3-319-13560-1_71

Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2014). Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration. In MACHINE LEARNING AND DATA MINING IN PATTERN RECOGNITION, MLDM 2014 Vol. 8556 (pp. 272-284). Retrieved from https://www.webofscience.com/

Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration. (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2014). Dictionary Learning-based Volumetric Image Classification for The Diagnosis of Age-related Macular Degeneration.. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

Mining Movement Patterns from Video Data to Inform Multi Agent Based Simulation (Conference Paper)

Tufail, M., Coenen, F., & Mu, T. (2014). Mining Movement Patterns from Video Data to Inform Multi Agent Based Simulation. In ADMI'14 (pp. 12 pages). Paris: S[rimger.

Multi-agent Environment Exploration with AR.Drones (Conference Paper)

Williams, R., Konev, B., & Coenen, F. (2014). Multi-agent Environment Exploration with AR.Drones. In Unknown Conference (pp. 60-71). Springer International Publishing. doi:10.1007/978-3-319-10401-0_6

DOI: 10.1007/978-3-319-10401-0_6

Multi-agent environment exploration with AR.Drones (Conference Paper)

Williams, R., Konev, B., & Coenen, F. (2014). Multi-agent environment exploration with AR.Drones. In TAROS'14 (pp. 12 pages). Birmingham: Springer.

Network Analysis of Parliamentary Debates: A Case Study on the UK House of Commons (Conference Paper)

Salah, Z., Coenen, F., & Grossi, D. (2014). Network Analysis of Parliamentary Debates: A Case Study on the UK House of Commons. In EUSN'14 (pp. 12 Pages). Barcelona: Springer.

Novel Approach for Identifying Banded Patterns In Zero-One Data Using Column and Row Banding Scores (Conference Paper)

Abdullahi, F., Coenen, F., & Martin, R. (2014). Novel Approach for Identifying Banded Patterns In Zero-One Data Using Column and Row Banding Scores. In MLDM'14 (pp. 12 pages). St Petersburg: Springer.

PRICAI 2014: Trends in Artificial Intelligence (Journal article)

Pham, D. -N., & Park, S. -B. (Eds.) (2014). PRICAI 2014: Trends in Artificial Intelligence. doi:10.1007/978-3-319-13560-1

DOI: 10.1007/978-3-319-13560-1

2013

Classification of volumetric retinal images using overlapping decomposition and tree analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of volumetric retinal images using overlapping decomposition and tree analysis. In Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems. IEEE. doi:10.1109/cbms.2013.6627757

DOI: 10.1109/cbms.2013.6627757

3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation (Conference Paper)

Udomchaiporn, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2013). 3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation. In Unknown Conference (pp. 229-240). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_20

DOI: 10.1007/978-3-642-53914-5_20

A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery (Conference Paper)

Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery. In Unknown Conference (pp. 253-264). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_22

DOI: 10.1007/978-3-642-53914-5_22

A Hybrid Approach for Mining Frequent Itemsets (Conference Paper)

Vo, B., Coenen, F., Le, T., & Hong, T. -P. (2013). A Hybrid Approach for Mining Frequent Itemsets. In 2013 IEEE International Conference on Systems, Man, and Cybernetics. IEEE. doi:10.1109/smc.2013.791

DOI: 10.1109/smc.2013.791

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets (Conference Paper)

Le, T., Vo, B., & Coenen, F. (2013). An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets. In 2013 IEEE International Conference on Systems, Man, and Cybernetics. IEEE. doi:10.1109/smc.2013.388

DOI: 10.1109/smc.2013.388

Generating Domain-Specific Sentiment Lexicons for Opinion Mining (Conference Paper)

Salah, Z., Coenen, F., & Grossi, D. (2013). Generating Domain-Specific Sentiment Lexicons for Opinion Mining. In Unknown Conference (pp. 13-24). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_2

DOI: 10.1007/978-3-642-53914-5_2

Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification (Conference Paper)

Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. In Unknown Conference (pp. 493-504). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_42

DOI: 10.1007/978-3-642-53914-5_42

Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming (Conference Paper)

El-Salhi, S., Coenen, F., Dixon, C., & Khan, M. S. (2013). Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming. In Unknown Conference (pp. 505-516). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_43

DOI: 10.1007/978-3-642-53914-5_43

Vertex Unique Labelled Subgraph Mining for Vertex Label Classification (Conference Paper)

Yu, W., Coenen, F., Zito, M., & El Salhi, S. (2013). Vertex Unique Labelled Subgraph Mining for Vertex Label Classification. In Unknown Conference (pp. 542-553). Springer Berlin Heidelberg. doi:10.1007/978-3-642-53914-5_46

DOI: 10.1007/978-3-642-53914-5_46

Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles (Journal article)

Zhang, Y., Zhang, B., Coenen, F., & Lu, W. (2013). Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles. Machine Vision and Applications, 24(7), 1405-1420. doi:10.1007/s00138-012-0459-8

DOI: 10.1007/s00138-012-0459-8

Minimal Vertex Unique Labelled Subgraph Mining (Conference Paper)

Yu, W., Coenen, F., Zito, M., & El Salhi, S. (2013). Minimal Vertex Unique Labelled Subgraph Mining. In Unknown Conference (pp. 317-326). Springer Berlin Heidelberg. doi:10.1007/978-3-642-40131-2_28

DOI: 10.1007/978-3-642-40131-2_28

Population Estimation Mining Using Satellite Imagery (Conference Paper)

Dittakan, K., Coenen, F., Christley, R., & Wardeh, M. (2013). Population Estimation Mining Using Satellite Imagery. In Unknown Conference (pp. 285-296). Springer Berlin Heidelberg. doi:10.1007/978-3-642-40131-2_25

DOI: 10.1007/978-3-642-40131-2_25

Feature Representation for Customer Attrition Risk Prediction in Retail Banking (Conference Paper)

Wang, Y. J., Di, G., Yu, J., Lei, J., & Coenen, F. (2013). Feature Representation for Customer Attrition Risk Prediction in Retail Banking. In Unknown Conference (pp. 229-238). Springer Berlin Heidelberg. doi:10.1007/978-3-642-39736-3_18

DOI: 10.1007/978-3-642-39736-3_18

Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland (Journal article)

Dittakan, K., Coenen, F., & Christley, R. (2013). Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland. Unknown Journal, 260-274. doi:10.1007/978-3-642-39712-7_20

DOI: 10.1007/978-3-642-39712-7_20

Extracting debate graphs from parliamentary transcripts (Conference Paper)

Salah, Z., Coenen, F., & Grossi, D. (2013). Extracting debate graphs from parliamentary transcripts. In Proceedings of the Fourteenth International Conference on Artificial Intelligence and Law. ACM. doi:10.1145/2514601.2514615

DOI: 10.1145/2514601.2514615

A new method for mining Frequent Weighted Itemsets based on WIT-trees (Journal article)

Vo, B., Coenen, F., & Le, B. (2013). A new method for mining Frequent Weighted Itemsets based on WIT-trees. Expert Systems with Applications, 40(4), 1256-1264. doi:10.1016/j.eswa.2012.08.065

DOI: 10.1016/j.eswa.2012.08.065

A survey of frequent subgraph mining algorithms (Journal article)

Jiang, C., Coenen, F., & Zito, M. (2013). A survey of frequent subgraph mining algorithms. KNOWLEDGE ENGINEERING REVIEW, 28(1), 75-105. doi:10.1017/S0269888912000331

DOI: 10.1017/S0269888912000331

A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery (Conference Paper)

A Hybrid Approach for Mining Frequent Itemsets (Conference Paper)

Vo, B., Le, T., Coenen, F., & Hong, T. -P. (2013). A Hybrid Approach for Mining Frequent Itemsets. In SMC 2013 (pp. TBA). Manchester, UK.: IEEE.

A Multiagent Based Framework for the Simulation of Mammalian Behaviour (Chapter)

Agiriga, E., Coenen, F., Hurst, J., & Kowalski, D. (2013). A Multiagent Based Framework for the Simulation of Mammalian Behaviour. In Research and Development in Intelligent Systems XXX (pp. 435-441). Springer International Publishing. doi:10.1007/978-3-319-02621-3_32

DOI: 10.1007/978-3-319-02621-3_32

A Multiagent Based Framework for the Simulation of Mammalian Behaviour (Conference Paper)

Agiriga, E., Coenen, F., Hurst, J., & Kowalsk, D. (2013). A Multiagent Based Framework for the Simulation of Mammalian Behaviour. In BCS-SGASI AI2013 (pp. TBA). Cambridge: Springer.

Age-related Macular Degeneration Identification In Volumetric Optical Coherence Tomography Using Decomposition and Local Feature Extraction (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Age-related Macular Degeneration Identification In Volumetric Optical Coherence Tomography Using Decomposition and Local Feature Extraction. In MIUA (pp. 59-64). Birmingham: MIUA.

Age-related macular degeneration screening using data mining approaches. (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2013). Age-related macular degeneration screening using data mining approaches.. In 1st International Conference on Aritificial Intelligence, Modelling and Simulation (pp. 1-8). Kota Kinabalu: IEEE.

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets (Conference Paper)

Le, T., Vo, B., & Coenen, F. (2013). An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets. In SMC'13 (pp. TBA). Manchester: IEEE.

An Inductive Rule Learning Technique for Text Mining in Questionnaires (Conference Paper)

Chua, S., & Coenen, F. (2013). An Inductive Rule Learning Technique for Text Mining in Questionnaires. In ICOCI 2013 (pp. TBA). Kuching, Sarawak, Malaysia: University Utara Malaysia.

Ben Valkenburg: a tribute (Journal article)

Beukema, L., & Coenen, F. (2013). Ben Valkenburg: a tribute. Transfer: European Review of Labour and Research, 19(2), 147-150. doi:10.1177/1024258913481295

DOI: 10.1177/1024258913481295

Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis. In IEEE CBMS2013 (pp. 1-8). Porto: IEEE.

Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of Volumetric Retinal Images Using Overlapping Decomposition and Tree Analysis. In 2013 IEEE 26TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS) (pp. 11-16). Retrieved from https://www.webofscience.com/

Classification of volumetric retinal images using overlapping decomposition and tree analysis (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2013). Classification of volumetric retinal images using overlapping decomposition and tree analysis. In The 26th IEEE International Symposium on Computer-Based Medical Systems (pp. 6). Porto, Portugal: IEEE.

Generating Domain-Specific Sentiment Lexicons for Opinion Mining (Conference Paper)

Salah, Z., Coenen, F., & Grossi, D. (2013). Generating Domain-Specific Sentiment Lexicons for Opinion Mining. In ADMA'13 (pp. TBA). Hangzhou, China: Soringer.

Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification (Conference Paper)

Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

Hierarchical Single Label Classification: An Alternative Approach (Chapter)

Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Single Label Classification: An Alternative Approach. In Research and Development in Intelligent Systems XXX (pp. 39-52). Springer International Publishing. doi:10.1007/978-3-319-02621-3_3

DOI: 10.1007/978-3-319-02621-3_3

Hierarchical Single Label classification: An Alternative Approach (Conference Paper)

Alshdaifat, E., Coenen, F., & Dures, K. (2013). Hierarchical Single Label classification: An Alternative Approach. In BCS-SGAI AI'2013 (pp. TBA). Cambridge, UK: Springer.

Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming (Conference Paper)

El Salhi, S., Coenen, F., Dixon, C., & Khan, M. (2013). Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

Satellite Image Mining for Census Collection: A Comparative Study With Respect to the Ethiopian Hinterland (Conference Paper)

Dittakan, K., Coenen, F., & Christley, R. (2013). Satellite Image Mining for Census Collection: A Comparative Study With Respect to the Ethiopian Hinterland. In MLDM'13 (pp. 260-274). New York: Springer LNAI 7988.

Vertex Unique Labelled Subgraph Mining (Chapter)

Yu, W., Coenen, F., Zito, M., & Salhi, S. E. (2013). Vertex Unique Labelled Subgraph Mining. In Research and Development in Intelligent Systems XXX (pp. 21-37). Springer International Publishing. doi:10.1007/978-3-319-02621-3_2

DOI: 10.1007/978-3-319-02621-3_2

Vertex Unique Labelled Subgraph Mining (Conference Paper)

Wen, Y., Coenen, F., Zito, M., & Salhi, S. (2013). Vertex Unique Labelled Subgraph Mining. In BCS-SGSI AI 20-13 (pp. TBA). Cambridge, UK: Springer.

Vertex Unique Labelled Subgraph Mining for Vertex Label Classification (Conference Paper)

Yu, W., Coenen, F., & Zito, M. (2013). Vertex Unique Labelled Subgraph Mining for Vertex Label Classification. In ADMA'13 (pp. TBA). Hangzhou, China: Springer.

2012

Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach (Journal article)

Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2012). Automated "Disease/No Disease" Grading of Age-Related Macular Degeneration by an Image Mining Approach. INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE, 53(13), 8310-8318. doi:10.1167/iovs.12-9576

DOI: 10.1167/iovs.12-9576

An investigation into the issues of multi-agent data mining (Thesis / Dissertation)

Albashiri, K. A., Coenen, F., & Leng, P. (2012). An investigation into the issues of multi-agent data mining.

Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography (Conference Paper)

Albarrak, A., Coenen, F., Zheng, Y., & Yu, W. (2012). Volumetric Image Mining Based on Decomposition and Graph Analysis: An Application to Retinal Optical Coherence Tomography. In 13TH IEEE INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS (CINTI 2012) (pp. 263-268). Retrieved from https://www.webofscience.com/

A framework for Multi-Agent Based Clustering (Journal article)

Chaimontree, S., Atkinson, K., & Coenen, F. (2012). A framework for Multi-Agent Based Clustering. Autonomous Agents and Multi-Agent Systems, 25(3), 425-446. doi:10.1007/s10458-011-9187-0

DOI: 10.1007/s10458-011-9187-0

Multi-agent based classification using argumentation from experience (Journal article)

Wardeh, M., Coenen, F., & Bench-Capon, T. (2012). Multi-agent based classification using argumentation from experience. AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS, 25(3), 447-474. doi:10.1007/s10458-012-9197-6

DOI: 10.1007/s10458-012-9197-6

Identification and Visualisation of Pattern Migrations in Big Network Data (Conference Paper)

Nohuddin, P. N. E., Coenen, F., Christley, R., & Sunayama, W. (2012). Identification and Visualisation of Pattern Migrations in Big Network Data. In Unknown Conference (pp. 883-886). Springer Berlin Heidelberg. doi:10.1007/978-3-642-32695-0_91

DOI: 10.1007/978-3-642-32695-0_91

Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization (Chapter)

Elsayed, A., Coenen, F., Garca-Fiana, M., & Sluming, V. (n.d.). Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization. In Data Mining Applications in Engineering and Medicine. InTech. doi:10.5772/50019

DOI: 10.5772/50019

Highly reliable breast cancer diagnosis with cascaded ensemble classifiers (Conference Paper)

Yungang Zhang., Bailing Zhang., Coenenz, F., & Wenjin Lu. (2012). Highly reliable breast cancer diagnosis with cascaded ensemble classifiers. In The 2012 International Joint Conference on Neural Networks (IJCNN). IEEE. doi:10.1109/ijcnn.2012.6252547

DOI: 10.1109/ijcnn.2012.6252547

A Semi-Automated Approach to Building Text Summarisation Classifiers (Conference Paper)

Garcia-Constantino, M., Coenen, F., Noble, P. -J., Radford, A., & Setzkorn, C. (2012). A Semi-Automated Approach to Building Text Summarisation Classifiers. In Unknown Conference (pp. 495-509). Springer Berlin Heidelberg. doi:10.1007/978-3-642-31537-4_39

DOI: 10.1007/978-3-642-31537-4_39

Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming (Conference Paper)

Khan, M. S., Coenen, F., Dixon, C., & El-Salhi, S. (2012). Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming. In Unknown Conference (pp. 366-379). Springer Berlin Heidelberg. doi:10.1007/978-3-642-31537-4_29

DOI: 10.1007/978-3-642-31537-4_29

Data mining techniques for the screening of age-related macular degeneration (Journal article)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Data mining techniques for the screening of age-related macular degeneration. KNOWLEDGE-BASED SYSTEMS, 29, 83-92. doi:10.1016/j.knosys.2011.07.002

DOI: 10.1016/j.knosys.2011.07.002

Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps (Journal article)

Nohuddin, P. N. E., Coenen, F., Christley, R., Setzkorn, C., Patel, Y., & Williams, S. (2012). Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps. KNOWLEDGE-BASED SYSTEMS, 29, 104-113. doi:10.1016/j.knosys.2011.07.003

DOI: 10.1016/j.knosys.2011.07.003

Finding “interesting” trends in social networks using frequent pattern mining and self organizing maps (Journal article)

Nohuddin, P. N. E., Coenen, F., Christley, R., Setzkorn, C., Patel, Y., & Williams, S. (2012). Finding “interesting” trends in social networks using frequent pattern mining and self organizing maps. Knowledge-Based Systems, 29, 104-113. doi:10.1016/j.knosys.2011.07.003

DOI: 10.1016/j.knosys.2011.07.003

PISA: A framework for multiagent classification using argumentation (Journal article)

Wardeh, M., Coenen, F., & Capon, T. B. (2012). PISA: A framework for multiagent classification using argumentation. DATA & KNOWLEDGE ENGINEERING, 75, 34-57. doi:10.1016/j.datak.2012.03.001

DOI: 10.1016/j.datak.2012.03.001

A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents (Conference Paper)

Chaimontree, S., Atkinson, K., & Coenen, F. (2012). A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents. In Unknown Conference (pp. 16-29). Springer Berlin Heidelberg. doi:10.1007/978-3-642-27609-5_3

DOI: 10.1007/978-3-642-27609-5_3

A Semi-Automated Approach to Building Text Summarisation Classifiers (Journal article)

Garcia-Constantino, M., Coenen, F., Noble, P. -J., & Radford, A. (2012). A Semi-Automated Approach to Building Text Summarisation Classifiers. Journal of Theoretical and Applied Computer Science.

Classification Based 3-D Surface Analysis: Predicting Springback in Sheet Metal Forming (Journal article)

Khan, M. S., Coenen, F., Dixon, C., & El-Salhi, S. (2012). Classification Based 3-D Surface Analysis: Predicting Springback in Sheet Metal Forming. Journal of Theoretical and Applied Computer Science, 6(2), 45-59.

Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming (Conference Paper)

El-Salhi, S., Coenen, F., Dixon, C., & Khan, M. S. (2012). Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming. In Unknown Conference (pp. 391-404). Springer London. doi:10.1007/978-1-4471-4739-8_30

DOI: 10.1007/978-1-4471-4739-8_30

Image Mining Approaches for The Screening of Age-Related Macular Degeneration (Chapter)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Image Mining Approaches for The Screening of Age-Related Macular Degeneration. In Data Mining (Working Title) (pp. TBA). Hauppauge (NY), USA: Nova Sciences Publishers Inc..

Image mining approaches for the screening of age-related macular degeneration (Chapter)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2012). Image mining approaches for the screening of age-related macular degeneration. In Retinopathy: New Research (pp. 101-142).

Questionnaire Free Text Summarisation Using Hierarchical Classification (Conference Paper)

Garcia-Constantino, M., Coenen, F., Noble, P. -J., & Radford, A. (2012). Questionnaire Free Text Summarisation Using Hierarchical Classification. In Unknown Conference (pp. 35-48). Springer London. doi:10.1007/978-1-4471-4739-8_3

DOI: 10.1007/978-1-4471-4739-8_3

Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization (Chapter)

Elsayed, A., Coenen, F., GarcÃa-FiÃ±ana, M., & Sluming, V. (2012). Region Of Interest Based Image Classification: A Study in MRI Brain Scan Categorization. In A. Karahoca (Ed.), Data Mining Applications in Engineering and Medicine (pp. 225-248). Slavka Krautzeka, Croatia: InTech - Open Science.

Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland (Conference Paper)

Dittakan, K., Coenen, F., & Christley, R. (2012). Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland. In Unknown Conference (pp. 405-418). Springer London. doi:10.1007/978-1-4471-4739-8_31

DOI: 10.1007/978-1-4471-4739-8_31

2011

Time Series Case Based Reasoning for Image Categorisation (Conference Paper)

Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2011). Time Series Case Based Reasoning for Image Categorisation. In CASE-BASED REASONING RESEARCH AND DEVELOPMENT, ICCBR 2011 Vol. 6880 (pp. 423-+). Retrieved from https://www.webofscience.com/

Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining (Conference Paper)

Hijazi, M. H. A., Jiang, C., Coenen, F., & Zheng, Y. (2011). Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining. In MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, PT II Vol. 6912 (pp. 65-80). Retrieved from https://www.webofscience.com/

An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data (Conference Paper)

Garcia-Constantino, M., Coenen, F., Noble, P. -J., Radford, A., Setzkorn, C., & Tierney, A. (2011). An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data. In Unknown Conference (pp. 387-398). Springer Berlin Heidelberg. doi:10.1007/978-3-642-23199-5_29

DOI: 10.1007/978-3-642-23199-5_29

Incremental Web-Site Boundary Detection Using Random Walks (Conference Paper)

Alshukri, A., Coenen, F., & Zito, M. (2011). Incremental Web-Site Boundary Detection Using Random Walks. In Unknown Conference (pp. 414-427). Springer Berlin Heidelberg. doi:10.1007/978-3-642-23199-5_31

DOI: 10.1007/978-3-642-23199-5_31

Finding Associations in Composite Data Sets (Journal article)

Khan, M. S., Muyeba, M., Coenen, F., Reid, D., & Tawfik, H. (2011). Finding Associations in Composite Data Sets. International Journal of Data Warehousing and Mining, 7(3), 1-29. doi:10.4018/jdwm.2011070101

DOI: 10.4018/jdwm.2011070101

Arguing from experience using multiple groups of agents (Journal article)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2011). Arguing from experience using multiple groups of agents. Argument & Computation, 2(1), 51-76. doi:10.1080/19462166.2010.528176

DOI: 10.1080/19462166.2010.528176

Data mining: past, present and future (Journal article)

Coenen, F. (n.d.). Data mining: past, present and future. The Knowledge Engineering Review, 26(1), 25-29. doi:10.1017/s0269888910000378

DOI: 10.1017/s0269888910000378

A Comparative Study of Using CARM Approaches in Mesenchymal Stem Cell Differentiation Analysis (Chapter)

Wang, W., Wang, Y., BaÃ±ares-AlcÃ¡ntara, R., Cui, Z., & Coenen, F. P. (2011). A Comparative Study of Using CARM Approaches in Mesenchymal Stem Cell Differentiation Analysis. In A. V. Kumar Senthil (Ed.), Knowledge Discovery Practices and Emerging Applications of Data Mining: Trends and New Domains (pp. 223-243). Hershey (PA), USA: IGI Global.

A multi-agent based approach to clustering: Harnessing the power of agents (Conference Paper)

Chaimontree, S., Atkinson, K., & Coenen, F. (2011). A multi-agent based approach to clustering: Harnessing the power of agents. In Seventh International Workshop on Agents and Data Mining Interaction (pp. 103-114). Taiwan: Springer LNCS 5980.

Automated grading of age-related macular degeneration by an image mining approach (Conference Paper)

Zheng, Y., Hijazi, M. H. A., & Coenen, F. (2011). Automated grading of age-related macular degeneration by an image mining approach. In Inv Ophth Vis Sci Vol. 52 (pp. 6568).

Classification of MRI Brain Scan Data Using Shape Criteria (Journal article)

Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2011). Classification of MRI Brain Scan Data Using Shape Criteria. Annals of the British Machine Vision Association (BMVA), 2011(6), 1-14. Retrieved from http://www.bmva.org/annals/2011/2011-0006.pdf

Finding Associations in Composite Data Sets: The CFARM Algorithm (Journal article)

Khan, M. S., Muyeba, M. K., Coenen, F., Reid, D., & Tawfik, H. (2011). Finding Associations in Composite Data Sets: The CFARM Algorithm. Journal of Data Warehousing and Mining, 7(31), 1-29.

Identifying Age-related Macular Degeneration In Volumetric Retinal Images. (Conference Paper)

Albarrak, A., Coenen, F., & Zheng, Y. (2011). Identifying Age-related Macular Degeneration In Volumetric Retinal Images.. In Ophthalmic Image Analysis Workshop (pp. 53-58). Liverpool: University of Liverpool.

Multi-agent Based Classification Using Argumentation from Experience (Conference Paper)

Wardeh, M., Coenen, F., Bench-Capon, T., & Wyner, A. (2011). Multi-agent Based Classification Using Argumentation from Experience. In ADVANCES IN KNOWLEDGE DISCOVERY AND DATA MINING, PT II Vol. 6635 (pp. 357-369). Retrieved from https://www.webofscience.com/

Retinal Image Classification for the Screening of Age-Related Macular Degeneration (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal Image Classification for the Screening of Age-Related Macular Degeneration. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVIII (pp. 325-338). doi:10.1007/978-0-85729-130-1_25

DOI: 10.1007/978-0-85729-130-1_25

Retinal image classification for the screening of age-related macular degeneration (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2011). Retinal image classification for the screening of age-related macular degeneration. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 325-338). doi:10.1007/978-0-85729-130-1_25

DOI: 10.1007/978-0-85729-130-1_25

Rule Learning with Negation for Text Classification (Conference Paper)

Chua, S., Coenen, F., & Malcom, G. (2011). Rule Learning with Negation for Text Classification. In MLDM 2011 poster proceedings (pp. 1-14). New York: ibai-publisging.

SOMA: A Proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases (Conference Paper)

Somaraki, V., Harding, S., Broadbent, D., & Coenen, F. (2011). SOMA: A Proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVIII (pp. 285-290). doi:10.1007/978-0-85729-130-1_22

DOI: 10.1007/978-0-85729-130-1_22

SOMA: A proposed framework for trend mining in large UK diabetic retinopathy temporal databases (Conference Paper)

Somaraki, V., Harding, S., Broadbent, D., & Coenen, F. (2011). SOMA: A proposed framework for trend mining in large UK diabetic retinopathy temporal databases. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 285-290). doi:10.1007/978-0-85729-130-1_22

DOI: 10.1007/978-0-85729-130-1_22

Social Network Trend Analysis Using Frequent Pattern Mining and Self Organizing Maps (Conference Paper)

Nohuddin, P. N. E., Christley, R., Coenen, F., Patel, Y., Setzkorn, C., & Williams, S. (2011). Social Network Trend Analysis Using Frequent Pattern Mining and Self Organizing Maps. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XVIII (pp. 311-324). doi:10.1007/978-0-85729-130-1_24

DOI: 10.1007/978-0-85729-130-1_24

Social network trend analysis using frequent pattern mining and self organizing maps (Conference Paper)

Nohuddin, P. N. E., Christley, R., Coenen, F., Patel, Y., Setzkorn, C., & Williams, S. (2011). Social network trend analysis using frequent pattern mining and self organizing maps. In Res. and Dev. in Intelligent Syst. XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 311-324). doi:10.1007/978-0-85729-130-1_24

DOI: 10.1007/978-0-85729-130-1_24

The Application of AI Techniques to Deformation in Metal Manufacturing (Conference Paper)

Dixon, C., Coenen, F., & Khan, M. (2011). The Application of AI Techniques to Deformation in Metal Manufacturing. In WAR (pp. 17-18). Glasgow: University of Glasgow.

Towards Large-Scale Multi-Agent Based Rodent Simulation: The "Mice In A Box" Scenario (Conference Paper)

Agiriga, E., Coenen, F., Hurst, J., Beynon, R., & Kowalski, D. (2011). Towards Large-Scale Multi-Agent Based Rodent Simulation: The "Mice In A Box" Scenario. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVIII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XIX (pp. 369-+). doi:10.1007/978-1-4471-2318-7_28

DOI: 10.1007/978-1-4471-2318-7_28

Towards large-scale multi-agent based rodent simulation: The "mice in a box" scenario (Conference Paper)

Agiriga, E., Coenen, F., Hurst, J., Beynon, R., & Kowalski, D. (2011). Towards large-scale multi-agent based rodent simulation: The "mice in a box" scenario. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 369-382). doi:10.1007/978-1-4471-2318-7_28

DOI: 10.1007/978-1-4471-2318-7_28

Trend Mining and Visualisation in Social Networks (Conference Paper)

Nohuddin, P. N. E., Sunayama, W., Christley, R., Coenen, F., & Setzkorn, C. (2011). Trend Mining and Visualisation in Social Networks. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVIII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XIX (pp. 269-+). doi:10.1007/978-1-4471-2318-7_21

DOI: 10.1007/978-1-4471-2318-7_21

Trend mining and visualisation in social networks (Conference Paper)

Nohuddin, P. N. E., Sunayama, W., Christley, R., Coenen, F., & Setzkorn, C. (2011). Trend mining and visualisation in social networks. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 269-282). doi:10.1007/978-1-4471-2318-7_21

DOI: 10.1007/978-1-4471-2318-7_21

Using Negation and Phrases in Inducing Rules for Text Classification (Conference Paper)

Chua, S., Coenen, F., Malcolm, G., Fernando, M., & Constantino, G. (2011). Using Negation and Phrases in Inducing Rules for Text Classification. In Unknown Conference (pp. 153-166). Springer London. doi:10.1007/978-1-4471-2318-7_11

DOI: 10.1007/978-1-4471-2318-7_11

Web-Site Boundary Detection Using Incremental Random Walk Clustering (Conference Paper)

Alshukri, A., Coenen, F., & Zito, M. (2011). Web-Site Boundary Detection Using Incremental Random Walk Clustering. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVIII: INCORPORATING APPLICATIONS AND INNOVATIONS IN INTELLIGENT SYSTEMS XIX (pp. 255-268). doi:10.1007/978-1-4471-2318-7_20

DOI: 10.1007/978-1-4471-2318-7_20

Web-site boundary detection using incremental randomwalk clustering (Conference Paper)

Alshukri, A., Coenen, F., & Zito, M. (2011). Web-site boundary detection using incremental randomwalk clustering. In Res. and Dev. in Intelligent Syst. XXVIII: Incorporating Applications and Innovations in Intel. Sys. XIX - AI 2011, 31st SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel. (pp. 255-268). doi:10.1007/978-1-4471-2318-7_20

DOI: 10.1007/978-1-4471-2318-7_20

2010

Multi-Party Argument from Experience (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2010). Multi-Party Argument from Experience. In ARGUMENTATION IN MULTI-AGENT SYSTEMS Vol. 6057 (pp. 216-235). Retrieved from https://www.webofscience.com/

Best Clustering Configuration Metrics: Towards Multiagent Based Clustering (Conference Paper)

Chaimontree, S., Atkinson, K., & Coenen, F. (2010). Best Clustering Configuration Metrics: Towards Multiagent Based Clustering. In Unknown Conference (pp. 48-59). Springer Berlin Heidelberg. doi:10.1007/978-3-642-17316-5_5

DOI: 10.1007/978-3-642-17316-5_5

Classification Inductive Rule Learning with Negated Features (Conference Paper)

Chua, S., Coenen, F., & Malcolm, G. (2010). Classification Inductive Rule Learning with Negated Features. In Unknown Conference (pp. 125-136). Springer Berlin Heidelberg. doi:10.1007/978-3-642-17316-5_12

DOI: 10.1007/978-3-642-17316-5_12

Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach (Conference Paper)

Jiang, C., Coenen, F., & Zito, M. (2010). Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach. In ADVANCED DATA MINING AND APPLICATIONS, ADMA 2010, PT I Vol. 6440 (pp. 405-416). Retrieved from https://www.webofscience.com/

Frequent Pattern Trend Analysis in Social Networks (Conference Paper)

Nohuddin, P. N. E., Christley, R., Coenen, F., Patel, Y., Setzkorn, C., & Williams, S. (2010). Frequent Pattern Trend Analysis in Social Networks. In ADVANCED DATA MINING AND APPLICATIONS, ADMA 2010, PT I Vol. 6440 (pp. 358-369). Retrieved from https://www.webofscience.com/

An association rule-based CLIPS program for interactive prediction of MSC differentiation in vitro (Conference Paper)

Wang, W., Banares-Alcantara, R., Cui, Z., Wang, Y. J., & Coenen, F. (2010). An association rule-based CLIPS program for interactive prediction of MSC differentiation in vitro. In 2010 International Conference on Computer Application and System Modeling (ICCASM 2010). IEEE. doi:10.1109/iccasm.2010.5620726

DOI: 10.1109/iccasm.2010.5620726

Frequent Sub-graph Mining on Edge Weighted Graphs (Conference Paper)

Jiang, C., Coenen, F., & Zito, M. (2010). Frequent Sub-graph Mining on Edge Weighted Graphs. In DATA WAREHOUSING AND KNOWLEDGE DISCOVERY Vol. 6263 (pp. 77-88). Retrieved from https://www.webofscience.com/

Region of Interest Based Image Categorization (Chapter)

Elsayed, A., Coenen, F., García-Fiñana, M., & Sluming, V. (2010). Region of Interest Based Image Categorization. In Data Warehousing and Knowledge Discovery (pp. 239-250). Springer Berlin Heidelberg. doi:10.1007/978-3-642-15105-7_19

DOI: 10.1007/978-3-642-15105-7_19

Clustering in a Multi-Agent Data Mining Environment (Conference Paper)

Chaimontree, S., Atkinson, K., & Coenen, F. (2010). Clustering in a Multi-Agent Data Mining Environment. In Unknown Conference (pp. 103-114). Springer Berlin Heidelberg. doi:10.1007/978-3-642-15420-1_9

DOI: 10.1007/978-3-642-15420-1_9

Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy (Conference Paper)

Somaraki, V., Broadbent, D., Coenen, F., & Harding, S. (2010). Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 418-+). Retrieved from https://www.webofscience.com/

Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification (Conference Paper)

Wang, Y. J., Li, F., Coenen, F., Sanderson, R., & Xin, Q. (2010). Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification. In Unknown Conference (pp. 222-236). Springer Berlin Heidelberg. doi:10.1007/978-3-642-14400-4_18

DOI: 10.1007/978-3-642-14400-4_18

Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2010). Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 197-+). Retrieved from https://www.webofscience.com/

Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining (Conference Paper)

Chaimontree, S., Atkinson, K., & Coenen, F. (2010). Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining. In Unknown Conference (pp. 115-127). Springer Berlin Heidelberg. doi:10.1007/978-3-642-14400-4_9

DOI: 10.1007/978-3-642-14400-4_9

Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database (Conference Paper)

Nohuddin, P. N. E., Christley, R., Coenen, F., & Setzkorn, C. (2010). Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 464-+). Retrieved from https://www.webofscience.com/

Web-Site Boundary Detection (Conference Paper)

Alshukri, A., Coenen, F., & Zito, M. (2010). Web-Site Boundary Detection. In ADVANCES IN DATA MINING: APPLICATIONS AND THEORETICAL ASPECTS Vol. 6171 (pp. 529-543). Retrieved from https://www.webofscience.com/

A sliding windows based dual support framework for discovering emerging trends from temporal data (Journal article)

Khan, M. S., Coenen, F., Reid, D., Patel, R., & Archer, L. (2010). A sliding windows based dual support framework for discovering emerging trends from temporal data. Knowledge-Based Systems, 23(4), 316-322. doi:10.1016/j.knosys.2009.11.005

DOI: 10.1016/j.knosys.2009.11.005

Corpus callosum MR image classification (Journal article)

Elsayed, A., Coenen, F., Jiang, C., García-Fiñana, M., & Sluming, V. (2010). Corpus callosum MR image classification. Knowledge-Based Systems, 23(4), 330-336. doi:10.1016/j.knosys.2009.11.008

DOI: 10.1016/j.knosys.2009.11.008

Text classification using graph mining-based feature extraction (Journal article)

Jiang, C., Coenen, F., Sanderson, R., & Zito, M. (2010). Text classification using graph mining-based feature extraction. KNOWLEDGE-BASED SYSTEMS, 23(4), 302-308. doi:10.1016/j.knosys.2009.11.010

DOI: 10.1016/j.knosys.2009.11.010

A Sliding Windows based Dual Support Framework for Discovering Emerging Trends from Temporal Data (Conference Paper)

Khan, M. S., Coenen, F., Reid, D., Patel, R., & Archer, L. (2010). A Sliding Windows based Dual Support Framework for Discovering Emerging Trends from Temporal Data. In Unknown Conference (pp. 35-48). Springer London. doi:10.1007/978-1-84882-983-1_3

DOI: 10.1007/978-1-84882-983-1_3

Arguing in Groups (Conference Paper)

Wardeh, M., Coenen, F., & Bench-Capon, T. (2010). Arguing in Groups. In COMPUTATIONAL MODELS OF ARGUMENT: PROCEEDINGS OF COMMA 2010 Vol. 216 (pp. 475-486). doi:10.3233/978-1-60750-619-5-475

DOI: 10.3233/978-1-60750-619-5-475

Corpus Callosum MR Image Classification (Conference Paper)

Elsayed, A., Coenen, F., Jiang, C., García-Fiñana, M., & Sluming, V. (2010). Corpus Callosum MR Image Classification. In Unknown Conference (pp. 333-346). Springer London. doi:10.1007/978-1-84882-983-1_27

DOI: 10.1007/978-1-84882-983-1_27

Detecting Temporal Pattern and Cluster Changes in Social Networks: A Study Focusing UK Cattle Movement Database (Conference Paper)

Nohuddin, P. N. E., Coenen, F., Christley, R., & Setzkorn, C. (2010). Detecting Temporal Pattern and Cluster Changes in Social Networks: A Study Focusing UK Cattle Movement Database. In INTELLIGENT INFORMATION PROCESSING V Vol. 340 (pp. 163-+). doi:10.1007/978-3-642-16327-2_22

DOI: 10.1007/978-3-642-16327-2_22

Detecting temporal pattern and cluster changes in social networks: A study focusing UK cattle movement database (Conference Paper)

Nohuddin, P. N. E., Coenen, F., Christley, R., & Setzkorn, C. (2010). Detecting temporal pattern and cluster changes in social networks: A study focusing UK cattle movement database. In IFIP Advances in Information and Communication Technology Vol. 340 AICT (pp. 163-172). doi:10.1007/978-3-642-16327-2_22

DOI: 10.1007/978-3-642-16327-2_22

Image categorisation using time series case based reasoning (Conference Paper)

Elsayed, A., Hijazi, M. H. A., Coenen, F., Garcia-Finana, M., Sluming, V., & Zheng, Y. (2010). Image categorisation using time series case based reasoning. In UKCBR10 (pp. 2-11). Cambridge: BCS-SGAI.

Region of Interest Based Image Classification using time series analysis (Conference Paper)

Elsayed, A., Coenen, F., Garcia-Finana, M., & Sluming, V. (2010). Region of Interest Based Image Classification using time series analysis. In The 2010 International Joint Conference on Neural Networks (IJCNN). IEEE. doi:10.1109/ijcnn.2010.5596324

DOI: 10.1109/ijcnn.2010.5596324

Retinal Image Classification using a Histogram Based Approach (Conference Paper)

Hijazi, M. H. A., Coenen, F., & Zheng, Y. (2010). Retinal Image Classification using a Histogram Based Approach. In 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010. Retrieved from https://www.webofscience.com/

Rule Learning with Negation: Issues Regarding Effectiveness (Conference Paper)

Chua, S., Coenen, F., & Malcolm, G. (2010). Rule Learning with Negation: Issues Regarding Effectiveness. In Unknown Conference (pp. 193-202). Springer Berlin Heidelberg. doi:10.1007/978-3-642-16327-2_25

DOI: 10.1007/978-3-642-16327-2_25

Text Classification using Graph Mining-based Feature Extraction (Conference Paper)

Jiang, C., Coenen, F., Sanderson, R., & Zito, M. (2010). Text Classification using Graph Mining-based Feature Extraction. In RESEARCH AND DEVELOPMENT IN INTELLIGENT SYSTEMS XXVI (pp. 21-34). doi:10.1007/978-1-84882-983-1_2

DOI: 10.1007/978-1-84882-983-1_2

Text classification using graph mining-based feature extraction (Conference Paper)

Jiang, C., Coenen, F., Sanderson, R., & Zito, M. (2010). Text classification using graph mining-based feature extraction. In Research and Development in Intelligent Systems XXVI: Incorporating Applications and Innovations in Intelligent Systems XVII (pp. 21-34). doi:10.1007/978-1-84882-983-1_2

DOI: 10.1007/978-1-84882-983-1_2

Trend Mining in Logitudinal Diabetic Retinopathy Data (Conference Paper)

Somaraki, V., Broadbent, D., Coenen, F. P., & Harding, S. (2010). Trend Mining in Logitudinal Diabetic Retinopathy Data. In BCS SGAI conference on AI (pp. 285-290). UK: Springer.

2009

Analysis of mesenchymal stem cell differentiation in vitro using classification association rule mining. (Journal article)

Wang, W., Wang, Y. J., Bañares-Alcántara, R., Coenen, F., & Cui, Z. (2009). Analysis of mesenchymal stem cell differentiation in vitro using classification association rule mining.. Journal of bioinformatics and computational biology, 7(6), 905-930. doi:10.1142/s0219720009004424

DOI: 10.1142/s0219720009004424

Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation (Conference Paper)

Wang, W., Wang, Y. J., Bañares-Alcántara, R., Cui, Z., & Coenen, F. (2009). Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation. In Unknown Conference (pp. 51-61). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03067-3_6

DOI: 10.1007/978-3-642-03067-3_6

Effective Mining of Weighted Fuzzy Association Rules (Chapter)

Muyeba, M., Khan, M. S., & Coenen, F. (2010). Effective Mining of Weighted Fuzzy Association Rules. In Rare Association Rule Mining and Knowledge Discovery (pp. 47-64). IGI Global. doi:10.4018/978-1-60566-754-6.ch004

DOI: 10.4018/978-1-60566-754-6.ch004

Integrating Data Mining and Agent Based Modeling and Simulation (Conference Paper)

Baqueiro, O., Wang, Y. J., McBurney, P., & Coenen, F. (2009). Integrating Data Mining and Agent Based Modeling and Simulation. In Unknown Conference (pp. 220-231). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03067-3_18

DOI: 10.1007/978-3-642-03067-3_18

The EMADS Extendible Multi-Agent Data Mining Framework (Chapter)

Albashiri, K. A., & Coenen, F. (2009). The EMADS Extendible Multi-Agent Data Mining Framework. In Data Mining and Multi-agent Integration (pp. 189-200). Springer US. doi:10.1007/978-1-4419-0522-2_13

DOI: 10.1007/978-1-4419-0522-2_13

A Generic and Extendible Multi-Agent Data Mining Framework (Conference Paper)

Albashiri, K. A., & Coenen, F. (2009). A Generic and Extendible Multi-Agent Data Mining Framework. In Unknown Conference (pp. 203-210). Springer Berlin Heidelberg. doi:10.1007/978-3-642-02319-4_24

DOI: 10.1007/978-3-642-02319-4_24

A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification (Conference Paper)

Wang, Y. J., Coenen, F., & Sanderson, R. (2009). A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification. In Unknown Conference (pp. 338-349). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03348-3_33

DOI: 10.1007/978-3-642-03348-3_33

EMADS: An extendible multi-agent data miner (Journal article)

Albashiri, K. A., Coenen, F., & Leng, P. (2009). EMADS: An extendible multi-agent data miner. Knowledge-Based Systems, 22(7), 523-528. doi:10.1016/j.knosys.2008.10.009

DOI: 10.1016/j.knosys.2008.10.009

Arguing from Experience to Classifying Noisy Data (Conference Paper)

Wardeh, M., Coenen, F., & Bench-Capon, T. (2009). Arguing from Experience to Classifying Noisy Data. In DATA WAREHOUSING AND KNOWLEDGE DISCOVERY, PROCEEDINGS Vol. 5691 (pp. 354-365). Retrieved from https://www.webofscience.com/

Agent-Enriched Data Mining Using an Extendable Framework (Conference Paper)

Albashiri, K. A., & Coenen, F. (2009). Agent-Enriched Data Mining Using an Extendable Framework. In Unknown Conference (pp. 53-68). Springer Berlin Heidelberg. doi:10.1007/978-3-642-03603-3_5

DOI: 10.1007/978-3-642-03603-3_5

PADUA: a protocol for argumentation dialogue using association rules (Journal article)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2009). PADUA: a protocol for argumentation dialogue using association rules. Artificial Intelligence and Law, 17(3), 183-215. doi:10.1007/s10506-009-9078-8

DOI: 10.1007/s10506-009-9078-8

Improved methods for extracting frequent itemsets from interim‐support trees (Journal article)

Coenen, F., Leng, P., Pagourtzis, A., Rytter, W., & Souliou, D. (2009). Improved methods for extracting frequent itemsets from interim‐support trees. Software: Practice and Experience, 39(6), 551-571. doi:10.1002/spe.902

DOI: 10.1002/spe.902

A Framework for Mining Fuzzy Association Rules from Composite Items (Conference Paper)

Muyeba, M., Khan, M. S., & Coenen, F. (2009). A Framework for Mining Fuzzy Association Rules from Composite Items. In Unknown Conference (pp. 62-74). Springer Berlin Heidelberg. doi:10.1007/978-3-642-00399-8_6

DOI: 10.1007/978-3-642-00399-8_6

A Histogram Based Approach to Screening of Age-related Macular Degeneration (Conference Paper)

Hijazi, M. H. A., Coenen, F. P., & Zheng, Y. (2009). A Histogram Based Approach to Screening of Age-related Macular Degeneration. In MIUA'09 (pp. 54-158). Warwick: MIUA.

Agent-Enriched Data Mining Using an Extendable Framework (Conference Paper)

Albashiri, K. A., & Coenen, F. P. (2009). Agent-Enriched Data Mining Using an Extendable Framework. In ADMI (pp. 89-106). Budapest: AAMAS.

An investigation into the issues of Multi-Agent Data Mining (Chapter)

Albashiri, K. A., & Coenen, F. P. (2009). An investigation into the issues of Multi-Agent Data Mining. In D. BouÃ§a, & A. GafagnÃ£o (Eds.), Agent Based Comnputing (pp. 1-85). Hauppauge, NY, USA: Nova Science Publishers.

Construction and Application of a Public-Domain Mesenchymal Stem Cell Database (Conference Paper)

Wang, W., BaÃ±ares-AlcÃ¡ntara, R., Cui, Z., Wang, Y., & Coenen, F. P. (2009). Construction and Application of a Public-Domain Mesenchymal Stem Cell Database. In ISBME'09 (pp. 78). Bangkok: IEEE.

EMADS: An Extendible Multi-Agent Data Miner (Conference Paper)

Albashiri, K. A., Coenen, F., & Leng, P. (2009). EMADS: An Extendible Multi-Agent Data Miner. In Unknown Conference (pp. 263-275). Springer London. doi:10.1007/978-1-84882-171-2_19

DOI: 10.1007/978-1-84882-171-2_19

Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework (Conference Paper)

Muyeba, M., Khan, M. S., & Coenen, F. (2009). Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework. In Unknown Conference (pp. 49-61). Springer Berlin Heidelberg. doi:10.1007/978-3-642-00399-8_5

DOI: 10.1007/978-3-642-00399-8_5

Graph-based Image Classification by Weighting Scheme (Conference Paper)

Jiang, C., & Coenen, F. (2009). Graph-based Image Classification by Weighting Scheme. In Unknown Conference (pp. 63-76). Springer London. doi:10.1007/978-1-84882-215-3_5

DOI: 10.1007/978-1-84882-215-3_5

Mining Allocating Patterns in Investment Portfolios (Chapter)

Wang, Y. J., Zheng, X., & Coenen, F. (2009). Mining Allocating Patterns in Investment Portfolios. In Data Mining Applications for Empowering Knowledge Societies (pp. 110-135). IGI Global. doi:10.4018/978-1-59904-657-0.ch007

DOI: 10.4018/978-1-59904-657-0.ch007

Mining Allocating Patterns in Investment Portfolios (Chapter)

Wang, Y. J., Zheng, X., & Coenen, F. (2009). Mining Allocating Patterns in Investment Portfolios. In Database Technologies (pp. 2657-2684). IGI Global. doi:10.4018/978-1-60566-058-5.ch159

DOI: 10.4018/978-1-60566-058-5.ch159

Multi-Party Argument from Experience (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. P. (2009). Multi-Party Argument from Experience. In ARGMAS'09 (pp. 207-224). Budapest: AAMAS.

PISA — Pooling Information from Several Agents: Multiplayer Argumentation from Experience (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2009). PISA — Pooling Information from Several Agents: Multiplayer Argumentation from Experience. In Unknown Conference (pp. 133-146). Springer London. doi:10.1007/978-1-84882-171-2_10

DOI: 10.1007/978-1-84882-171-2_10

The EMADS Extendible Multi-Agent Data Mining Framework (Chapter)

Albashiri, K. A., & Coenen, F. P. (2009). The EMADS Extendible Multi-Agent Data Mining Framework. In L. Cao (Ed.), Data Mining and Multiagent Integration (pp. 89-200). Berlin: Springer.

2008

On extraction of Nutritional Patterns (NPS) using fuzzy association rule mining (Conference Paper)

Khan, M. S., Muyeba, M., & Coenen, F. (2008). On extraction of Nutritional Patterns (NPS) using fuzzy association rule mining. In HEALTHINF 2008 - 1st International Conference on Health Informatics, Proceedings Vol. 1 (pp. 34-42).

Measuring and Explaining the Quality of Web Sites in the (Virtual) House of Representatives (Chapter)

Esterling, K. M., Lazer, D. M. J., & Neblo, M. A. (2007). Measuring and Explaining the Quality of Web Sites in the (Virtual) House of Representatives. In Current Issues and Trends in E-Government Research (pp. 146-162). IGI Global. doi:10.4018/978-1-59904-283-1.ch007

DOI: 10.4018/978-1-59904-283-1.ch007

Mining Allocating Patterns in One-Sum Weighted Items (Conference Paper)

Wang, Y. J., Zheng, X., Coenen, F., & Li, C. Y. (2008). Mining Allocating Patterns in One-Sum Weighted Items. In 2008 IEEE International Conference on Data Mining Workshops. IEEE. doi:10.1109/icdmw.2008.112

DOI: 10.1109/icdmw.2008.112

A Weighted Utility Framework for Mining Association Rules (Conference Paper)

Khan, M. S., Muyeba, M., & Coenen, F. (2008). A Weighted Utility Framework for Mining Association Rules. In 2008 Second UKSIM European Symposium on Computer Modeling and Simulation. IEEE. doi:10.1109/ems.2008.73

DOI: 10.1109/ems.2008.73

Document-Base Extraction for Single-Label Text Classification (Conference Paper)

Wang, Y. J., Sanderson, R., Coenen, F., & Leng, P. (n.d.). Document-Base Extraction for Single-Label Text Classification. In Unknown Conference (pp. 357-367). Springer Berlin Heidelberg. doi:10.1007/978-3-540-85836-2_34

DOI: 10.1007/978-3-540-85836-2_34

Mining Efficiently Significant Classification Association Rules (Journal article)

Wang, Y. J., Xin, Q., & Coenen, F. (2008). Mining Efficiently Significant Classification Association Rules. Unknown Journal, 443-467. doi:10.1007/978-3-540-78488-3_26

DOI: 10.1007/978-3-540-78488-3_26

Weighted Association Rule Mining from Binary and Fuzzy Data (Conference Paper)

Khan, M. S., Muyeba, M., & Coenen, F. (n.d.). Weighted Association Rule Mining from Binary and Fuzzy Data. In Unknown Conference (pp. 200-212). Springer Berlin Heidelberg. doi:10.1007/978-3-540-70720-2_16

DOI: 10.1007/978-3-540-70720-2_16

Agent Based Frequent Set Meta Mining: Introducing EMADS (Conference Paper)

Albashiri, K. A., Coenen, F., & Leng, P. (n.d.). Agent Based Frequent Set Meta Mining: Introducing EMADS. In Unknown Conference (pp. 23-32). Springer US. doi:10.1007/978-0-387-09695-7_3

DOI: 10.1007/978-0-387-09695-7_3

Mining Fuzzy Association Rules from Composite Items (Conference Paper)

Khan, M. S., Muyeba, M., & Coenen, F. (n.d.). Mining Fuzzy Association Rules from Composite Items. In Unknown Conference (pp. 67-76). Springer US. doi:10.1007/978-0-387-09695-7_7

DOI: 10.1007/978-0-387-09695-7_7

A Framework for Mining Fuzzy Association Rules from Composite Items", Algorithms for (Conference Paper)

Khan, M. S., Muyeba, M., & Coenen, F. P. (2008). A Framework for Mining Fuzzy Association Rules from Composite Items", Algorithms for. In ASLIP'08 (pp. 65-77). Osaka: PAKDD.

Argument Based Moderation of Benefit Assessment (Conference Paper)

Wardeh, M., Bench-Capon, T. J. M., & Coenen, F. (2008). Argument Based Moderation of Benefit Assessment. In LEGAL KNOWLEDGE AND INFORMATION SYSTEMS Vol. 189 (pp. 128-137). doi:10.3233/978-1-58603-952-3-128

DOI: 10.3233/978-1-58603-952-3-128

Arguments from Experience: The PADUA Protocol (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2008). Arguments from Experience: The PADUA Protocol. In COMPUTATIONAL MODELS OF ARGUMENT, PROCEEDINGS OF COMMA 2008 Vol. 172 (pp. 405-416). Retrieved from https://www.webofscience.com/

Efficiently Mining Significant Classification Association Rules (Chapter)

Wang, Y. J., Xin, Q., & Coenen, F. P. (2008). Efficiently Mining Significant Classification Association Rules. In T. Y. Lin, A. Wasilewska, F. Petry, & Y. Xie (Eds.), Data Mining: Foundations and Practice (pp. 443-468). Heidelberg: Springer.

Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework (Conference Paper)

Khan, M. S., Muyeba, M., & Coenen, F. P. (2008). Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework. In ASLIP'08 (pp. 53-64). Osaka: PAKDD.

Hybrid Rule Ordering in Classification Association Rule Mining (Journal article)

Wang, Y. J., Xin, Q., & Coenen, F. P. (2008). Hybrid Rule Ordering in Classification Association Rule Mining. Transactions on Machine Learning and Data Mining in Pattern Recognition, 1-16.

Mining fuzzy association rules from composite items (Conference Paper)

Sulaiman Khan, M., Muyeba, M., & Coenen, F. (2008). Mining fuzzy association rules from composite items. In IFIP Advances in Information and Communication Technology Vol. 276 (pp. 67-76).

Research and Development in Intelligent Systems XXV (Conference Paper)

Bramer, M., Coenen, F. P., & Petridis, M. (Eds.) (2008). Research and Development in Intelligent Systems XXV. In AI'2008 (pp. 300). Cambridge: Springer.

The PADUA Protocol (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2008). The PADUA Protocol. In COMMA 2008 (pp. 405-416). Toulouse: IOS Press.

2007

A Novel Rule Weighting Approach in Classification Association Rule Mining (Conference Paper)

Wang, Y. J., Xin, Q., & Coenen, F. (2007). A Novel Rule Weighting Approach in Classification Association Rule Mining. In Seventh IEEE International Conference on Data Mining Workshops (ICDMW 2007). IEEE. doi:10.1109/icdmw.2007.126

DOI: 10.1109/icdmw.2007.126

The effect of threshold values on association rule based classification accuracy (Journal article)

Coenen, F., & Leng, P. (2007). The effect of threshold values on association rule based classification accuracy. Data & Knowledge Engineering, 60(2), 345-360. doi:10.1016/j.datak.2006.02.005

DOI: 10.1016/j.datak.2006.02.005

'A Novel Rule Weighting Approach in Classification Association Rule Mining' (Conference Paper)

Wang, J., Xin, Q., & Coenen, F. P. (2007). 'A Novel Rule Weighting Approach in Classification Association Rule Mining'. In ICSM'07 Workshop (pp. x). Nebraska, USA: IEEE.

'Association Rule Mining in The Wider Context of Text, Images and Graphs.' (Journal article)

Coenen, F. (2007). 'Association Rule Mining in The Wider Context of Text, Images and Graphs.'. Expert Upda, 9(3), 5-9.

A Novel Rule Ordering Approach in Classification Association Rule Mining (Conference Paper)

Wang, Y. J., Xin, Q., & Coenen, F. (n.d.). A Novel Rule Ordering Approach in Classification Association Rule Mining. In Unknown Conference (pp. 339-348). Springer Berlin Heidelberg. doi:10.1007/978-3-540-73499-4_26

DOI: 10.1007/978-3-540-73499-4_26

An effective fuzzy health rule mining algorithm. (Conference Paper)

Khan, M. S., Muyeba, M., Tjortjis, C., & Coenen, F. P. (2007). An effective fuzzy health rule mining algorithm.. In Proc. 7th Annual Workshop on Computational Intelligence (pp. xx). Aberdeen: University of Aberdeen.

Association Rule Mining in The Wider Context of Text, Images and Graphs. (Conference Paper)

Coenen, F. P. (2007). Association Rule Mining in The Wider Context of Text, Images and Graphs.. In UKKDD'7 (pp. 1-6). Canterbury: University of Kent.

Dynamic Rule Mining for Argumentation Based Systems (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. (n.d.). Dynamic Rule Mining for Argumentation Based Systems. In Unknown Conference (pp. 65-78). Springer London. doi:10.1007/978-1-84800-094-0_6

DOI: 10.1007/978-1-84800-094-0_6

Frequent Set Meta Mining: Towards Multi-Agent Data Mining (Conference Paper)

Albashiri, K. A., Coenen, F., Sanderson, R., & Leng, P. (n.d.). Frequent Set Meta Mining: Towards Multi-Agent Data Mining. In Unknown Conference (pp. 139-151). Springer London. doi:10.1007/978-1-84800-094-0_11

DOI: 10.1007/978-1-84800-094-0_11

PADUA protocol:TB Strategies and tactics (Conference Paper)

Wardeh, M., Bench-Capon, T., & Coenen, F. (2007). PADUA protocol:TB Strategies and tactics. In SYMBOLIC AND QUANTITATIVE APPROACHES TO REASONING WITH UNCERTAINTY, PROCEEDINGS Vol. 4724 (pp. 465-+). Retrieved from https://www.webofscience.com/

Research and Development in Intelligent Systems XXIV (Conference Paper)

Bramer, M., Coenen, F. P., & Petridis, M. (Eds.) (2007). Research and Development in Intelligent Systems XXIV. In AI'2007 (pp. 200). London: Springer.

Statistical Identification of Key Phrases for Text Classification (Conference Paper)

Coenen, F., Leng, P., Sanderson, R., & Wang, Y. J. (n.d.). Statistical Identification of Key Phrases for Text Classification. In Unknown Conference (pp. 838-853). Springer Berlin Heidelberg. doi:10.1007/978-3-540-73499-4_63

DOI: 10.1007/978-3-540-73499-4_63

Text Classification using Language-independent Pre-processing (Conference Paper)

Wang, Y. J., Coenen, F., Leng, P., & Sanderson, R. (2007). Text Classification using Language-independent Pre-processing. In Unknown Conference (pp. 413-417). Springer London. doi:10.1007/978-1-84628-663-6_34

DOI: 10.1007/978-1-84628-663-6_34

2006

Towards an Agent-Based Framework for Online After-Sale Services (Conference Paper)

Lu Zhang., Coenen, F., Huang, W., & Leng, P. (2006). Towards an Agent-Based Framework for Online After-Sale Services. In 2006 3rd International IEEE Conference Intelligent Systems. IEEE. doi:10.1109/is.2006.348456

DOI: 10.1109/is.2006.348456

Tree-based partitioning of date for association rule mining (Journal article)

Ahmed, S., Coenen, F., & Leng, P. (2006). Tree-based partitioning of date for association rule mining. Knowledge and Information Systems, 10(3), 315-331. doi:10.1007/s10115-006-0010-1

DOI: 10.1007/s10115-006-0010-1

The Knowledge Bazaar (Journal article)

Craker, B., & Coenen, F. (2006). The Knowledge Bazaar. Knowledge-Based Systems, 19(5), 341-347. doi:10.1016/j.knosys.2005.11.019

DOI: 10.1016/j.knosys.2005.11.019

Partitioning strategies for distributed association rule mining (Journal article)

COENEN, F., & LENG, P. (2006). Partitioning strategies for distributed association rule mining. The Knowledge Engineering Review, 21(1), 25-47. doi:10.1017/s0269888906000786

DOI: 10.1017/s0269888906000786

Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees (Conference Paper)

Coenen, F., Leng, P., Pagourtzis, A., Rytter, W., & Souliou, D. (2006). Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees. In Unknown Conference (pp. 263-276). Springer London. doi:10.1007/978-1-84628-226-3_20

DOI: 10.1007/978-1-84628-226-3_20

Research and Development in Intelligent Systems XXIII (Conference Paper)

Bramer, M., Coenen, F., & Tueson, A. (Eds.) (2006). Research and Development in Intelligent Systems XXIII. In AI'2006 (pp. 419). London: Springer..

Towards an Agent-Based Framework for Online After-Sale Services. (Conference Paper)

Zhang, L., Coenen, F. P., Huang, W., & Leng, P. H. (2006). Towards an Agent-Based Framework for Online After-Sale Services.. In IEEE Conference On Intelligent Systems (pp. 06EX1304C). London: IEEE.

2005

Obtaining Best Parameter Values for Accurate Classification (Conference Paper)

Coenen, F., & Leng, P. (n.d.). Obtaining Best Parameter Values for Accurate Classification. In Fifth IEEE International Conference on Data Mining (ICDM'05). IEEE. doi:10.1109/icdm.2005.105

DOI: 10.1109/icdm.2005.105

'Selection of Significant Rules in Classification Association Rule Mining' (Conference Paper)

Wang, Y. J., Qin, X., & Coenen, F. (2005). 'Selection of Significant Rules in Classification Association Rule Mining'. In ICDM 2005 (pp. 106-108). Houston: Saint Mary's University, Halifax, Canada.

Proceedings 25th BCS-SGAI AI Conference: Research and Development in Intelligent Systems XXII (Conference Paper)

Bramer, M., Coenen, F., & Allen, T. (Eds.) (2005). Proceedings 25th BCS-SGAI AI Conference: Research and Development in Intelligent Systems XXII. In AI'2005 (pp. 9999). London: Springer.

Proceedings of the first UK Knowledge Discovery in Data Symposium (Conference Paper)

Coenen, F. (Ed.) (2005). Proceedings of the first UK Knowledge Discovery in Data Symposium. In UKKDD'05 (pp. 9999). Liverpool: Dept of Computer Science, University of Liverpool.

The Knowledge Bazaar (Conference Paper)

Craker, B., & Coenen, F. (n.d.). The Knowledge Bazaar. In Unknown Conference (pp. 37-49). Springer London. doi:10.1007/1-84628-224-1_4

DOI: 10.1007/1-84628-224-1_4

Threshold Tuning for Improved Classification Association Rule Mining (Conference Paper)

Coenen, F., Leng, P., & Zhang, L. (2005). Threshold Tuning for Improved Classification Association Rule Mining. In Unknown Conference (pp. 216-225). Springer Berlin Heidelberg. doi:10.1007/11430919_27

DOI: 10.1007/11430919_27

2004

An Evaluation of Approaches to Classification Rule Selection (Conference Paper)

Coenen, F., & Leng, P. (n.d.). An Evaluation of Approaches to Classification Rule Selection. In Fourth IEEE International Conference on Data Mining (ICDM'04). IEEE. doi:10.1109/icdm.2004.10012

DOI: 10.1109/icdm.2004.10012

Data structure for association rule mining: T-trees and P-trees (Journal article)

Coenen, F., Leng, P., & Ahmed, S. (2004). Data structure for association rule mining: T-trees and P-trees. IEEE Transactions on Knowledge and Data Engineering, 16(6), 774-778. doi:10.1109/tkde.2004.8

DOI: 10.1109/tkde.2004.8

A Tree Partitioning Method for Memory Management in Association Rule Mining (Journal article)

Ahmed, S., Coenen, F., & Leng, P. (2004). A Tree Partitioning Method for Memory Management in Association Rule Mining. Unknown Journal, 331-340. doi:10.1007/978-3-540-30076-2_33

DOI: 10.1007/978-3-540-30076-2_33

Strategies for Partitioning Data in Association Rule Mining (Chapter)

Ahmed, S., Coenen, F., & Leng, P. (2004). Strategies for Partitioning Data in Association Rule Mining. In Research and Development in Intelligent Systems XX (pp. 127-139). Springer London. doi:10.1007/978-0-85729-412-8_10

DOI: 10.1007/978-0-85729-412-8_10

Tree Structures for Mining Association Rules (Journal article)

Coenen, F., Goulbourne, G., & Leng, P. (2004). Tree Structures for Mining Association Rules. Data Mining and Knowledge Discovery, 8(1), 25-51. doi:10.1023/b:dami.0000005257.93780.3b

DOI: 10.1023/b:dami.0000005257.93780.3b

Using Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality (Chapter)

Zhang, L., Coenen, F., & Leng, P. (2004). Using Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality. In Applications and Innovations in Intelligent Systems XI (pp. 137-151). Springer London. doi:10.1007/978-1-4471-0643-2_10

DOI: 10.1007/978-1-4471-0643-2_10

2003

T-trees, vertical partitioning and distributed association rule mining (Conference Paper)

Coenen, F., Leng, P., & Ahmed, S. (n.d.). T-trees, vertical partitioning and distributed association rule mining. In Third IEEE International Conference on Data Mining. IEEE Comput. Soc. doi:10.1109/icdm.2003.1250965

DOI: 10.1109/icdm.2003.1250965

Setting attribute weights for k-NN based binary classification via quadratic programming (Journal article)

Zhang, L., Coenen, F., & Leng, P. (2003). Setting attribute weights for k-NN based binary classification via quadratic programming. Intelligent Data Analysis, 7(5), 427-441. doi:10.3233/ida-2003-7504

DOI: 10.3233/ida-2003-7504

2002

Formalising optimal feature weight setting in case based diagnosis as linear programming problems (Journal article)

Zhang, L., Coenen, F., & Leng, P. (2002). Formalising optimal feature weight setting in case based diagnosis as linear programming problems. Knowledge-Based Systems, 15(7), 391-398. doi:10.1016/s0950-7051(02)00023-0

DOI: 10.1016/s0950-7051(02)00023-0

5th European conference on principles of knowledge discovery in databases (Conference Paper)

COENEN, F. (2002). 5th European conference on principles of knowledge discovery in databases. In The Knowledge Engineering Review Vol. 17 (pp. 197-203). Cambridge University Press (CUP). doi:10.1017/s026988890200022x

DOI: 10.1017/s026988890200022x

An Experimental Study of Increasing Diversity for Case-Based Diagnosis (Conference Paper)

Zhang, L., Coenen, F., & Leng, P. (2002). An Experimental Study of Increasing Diversity for Case-Based Diagnosis. In Unknown Conference (pp. 448-459). Springer Berlin Heidelberg. doi:10.1007/3-540-46119-1_33

DOI: 10.1007/3-540-46119-1_33

Finding Association Rules with Some Very Frequent Attributes (Conference Paper)

Coenen, F., & Leng, P. (2002). Finding Association Rules with Some Very Frequent Attributes. In Unknown Conference (pp. 99-111). Springer Berlin Heidelberg. doi:10.1007/3-540-45681-3_9

DOI: 10.1007/3-540-45681-3_9

Optimising Association Rule Algorithms Using Itemset Ordering (Chapter)

Coenen, F., & Leng, P. (2002). Optimising Association Rule Algorithms Using Itemset Ordering. In Research and Development in Intelligent Systems XVIII (pp. 53-66). Springer London. doi:10.1007/978-1-4471-0119-2_5

DOI: 10.1007/978-1-4471-0119-2_5

2001

Toward logical analysis of tabular rule-based systems (Journal article)

Lig?za, A. (2001). Toward logical analysis of tabular rule-based systems. International Journal of Intelligent Systems, 16(3), 333-360. doi:3.0.co;2-r">10.1002/1098-111x(200103)16:3<333::aid-int1011>3.0.co;2-r

DOI: 10.1002/1098-111x(200103)16:3<333::aid-int1011>3.0.co;2-r

An Architecture For Web-based Post-sales Service In A Flexible Manufacturing Environment (Conference Paper)

Zhang, W., Coenen, F., & Leng, P. (n.d.). An Architecture For Web-based Post-sales Service In A Flexible Manufacturing Environment. In Unknown Conference (pp. 407-416). Kluwer Academic Publishers. doi:10.1007/0-306-47009-8_29

DOI: 10.1007/0-306-47009-8_29

Computing Association Rules Using Partial Totals (Conference Paper)

Coenen, F., Goulbourne, G., & Leng, P. (2001). Computing Association Rules Using Partial Totals. In Unknown Conference (pp. 54-66). Springer Berlin Heidelberg. doi:10.1007/3-540-44794-6_5

DOI: 10.1007/3-540-44794-6_5

Towards Integrated Online Support for Field Service Engineers in a Flexible Manufacturing Context (Chapter)

Coenen, F., Leng, P., Weaver, R., & Zhang, W. (2001). Towards Integrated Online Support for Field Service Engineers in a Flexible Manufacturing Context. In Applications and Innovations in Intelligent Systems VIII (pp. 141-152). Springer London. doi:10.1007/978-1-4471-0275-5_11

DOI: 10.1007/978-1-4471-0275-5_11

Verification, validation, and integrity issues in expert and database systems: Two perspectives (Journal article)

Coenen, F., Eaglestone, B., & Ridley, M. (2001). Verification, validation, and integrity issues in expert and database systems: Two perspectives. International Journal of Intelligent Systems, 16(3), 425-447. doi:3.0.co;2-c">10.1002/1098-111x(200103)16:3<425::aid-int1016>3.0.co;2-c

DOI: 10.1002/1098-111x(200103)16:3<425::aid-int1016>3.0.co;2-c

2000

Spatial reasoning: improving computational efficiency (Journal article)

Brown, A. G. P., & Coenen, F. P. (2000). Spatial reasoning: improving computational efficiency. AUTOMATION IN CONSTRUCTION, 9(4), 361-367. doi:10.1016/S0926-5805(99)00019-9

DOI: 10.1016/S0926-5805(99)00019-9

Validation and verification of knowledge-based systems:: report on EUROVAV99 (Journal article)

Coenen, F., Bench-Capon, T., Boswell, R., Dibie-Barthélemy, J., Eaglestone, B., Gerrits, R., . . . Wiratunga, N. (2000). Validation and verification of knowledge-based systems:: report on EUROVAV99. KNOWLEDGE ENGINEERING REVIEW, 15(2), 187-196. doi:10.1017/S0269888900002010

DOI: 10.1017/S0269888900002010

Algorithms for Computing Association Rules Using a Partial-Support Tree (Chapter)

Goulbourne, G., Coenen, F., & Leng, P. (2000). Algorithms for Computing Association Rules Using a Partial-Support Tree. In Research and Development in Intelligent Systems XVI (pp. 132-147). Springer London. doi:10.1007/978-1-4471-0745-3_9

DOI: 10.1007/978-1-4471-0745-3_9

Algorithms for computing association rules using a partial-support tree (Journal article)

Goulbourne, G., Coenen, F., & Leng, P. (2000). Algorithms for computing association rules using a partial-support tree. Knowledge-Based Systems, 13(2-3), 141-149. doi:10.1016/s0950-7051(00)00055-1

DOI: 10.1016/s0950-7051(00)00055-1

An experiment in discovering association rules in the legal domain (Conference Paper)

Bench-Capon, T., Coenen, F., & Leng, P. (2000). An experiment in discovering association rules in the legal domain. In 11TH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATION, PROCEEDINGS (pp. 1056-1060). doi:10.1109/DEXA.2000.875157

DOI: 10.1109/DEXA.2000.875157

Tesseral spatio-temporal reasoning for multi-dimensional data (Journal article)

Coenen, F. (2000). Tesseral spatio-temporal reasoning for multi-dimensional data. Pattern Recognition, 33(1), 9-23. doi:10.1016/s0031-3203(99)00039-4

DOI: 10.1016/s0031-3203(99)00039-4

The improvement of response modeling: combining rule-induction and case-based reasoning (Journal article)

Coenen, F., Swinnen, G., Vanhoof, K., & Wets, G. (2000). The improvement of response modeling: combining rule-induction and case-based reasoning. Expert Systems with Applications, 18(4), 307-313. doi:10.1016/s0957-4174(00)00012-9

DOI: 10.1016/s0957-4174(00)00012-9

1999

Report on the 1st international workshop on validation, verification and integrity issues of expert and database systems (Journal article)

Bench-Capon, T., Castelli, D., Coenen, F., Devendeville-Brisoux, L., Eaglestone, B., Fiddian, N., . . . Vermesan, A. (1999). Report on the 1st international workshop on validation, verification and integrity issues of expert and database systems. Information Research, 4(3), 54-59.

A Generic Ontology for Spatial Reasoning (Chapter)

Coenen, F., & Visser, P. (1999). A Generic Ontology for Spatial Reasoning. In Research and Development in Expert Systems XV (pp. 44-57). Springer London. doi:10.1007/978-1-4471-0835-1_4

DOI: 10.1007/978-1-4471-0835-1_4

Developing Association Rules in Facilities Management Databases (Chapter)

Goulbourne, G., Coenen, F., Leng, P., & Murphy, D. (1999). Developing Association Rules in Facilities Management Databases. In Applications and Innovations in Expert Systems VI (pp. 230-244). Springer London. doi:10.1007/978-1-4471-0575-6_17

DOI: 10.1007/978-1-4471-0575-6_17

Multi-dimensional tesseral spatial reasoning for noise pollution modelling (Journal article)

Coenen, F., Shave, M., Brown, A., & Lewis, J. (1999). Multi-dimensional tesseral spatial reasoning for noise pollution modelling. ADVANCES IN ENGINEERING SOFTWARE, 30(7), 479-488. doi:10.1016/S0965-9978(99)00004-6

DOI: 10.1016/S0965-9978(99)00004-6

Region description and comparative analysis using a tesseral representation (Conference Paper)

Antonacopoulos, A., & Coenen, F. P. (1999). Region description and comparative analysis using a tesseral representation. In Proceedings of the Fifth International Conference on Document Analysis and Recognition. ICDAR '99 (Cat. No.PR00318). IEEE. doi:10.1109/icdar.1999.791757

DOI: 10.1109/icdar.1999.791757

The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning (Conference Paper)

Coenen, F., Swinnen, G., Vanhoof, K., & Wets, G. (1999). The Improvement of Response Modeling: Combining Rule-Induction and Case-Based Reasoning. In Unknown Conference (pp. 301-308). Springer Berlin Heidelberg. doi:10.1007/978-3-540-48247-5_34

DOI: 10.1007/978-3-540-48247-5_34

Validation, Verification and Integrity in Knowledge and Data Base Systems: Future Directions (Chapter)

Coenen, F., Eaglestone, B., & Ridley, M. (1999). Validation, Verification and Integrity in Knowledge and Data Base Systems: Future Directions. In Validation and Verification of Knowledge Based Systems (pp. 297-311). Springer US. doi:10.1007/978-1-4757-6916-6_20

DOI: 10.1007/978-1-4757-6916-6_20

Visualisation of an AI Solution (Chapter)

Brown, A. G. P., Coenen, F. P., & Knight, M. W. (1999). Visualisation of an AI Solution. In Visual Representations and Interpretations (pp. 367-374). Springer London. doi:10.1007/978-1-4471-0563-3_41

DOI: 10.1007/978-1-4471-0563-3_41

1998

KD in FM: Knowledge discovery in facilities management databases (Conference Paper)

Goulbourne, G., Coenen, F., & Leng, P. (1998). KD in FM: Knowledge discovery in facilities management databases. In Unknown Conference (pp. 806-815). Springer Berlin Heidelberg. doi:10.1007/bfb0054536

DOI: 10.1007/bfb0054536

Rulebase checking using a spatial representation (Conference Paper)

Coenen, F. (1998). Rulebase checking using a spatial representation. In Unknown Conference (pp. 166-175). Springer Berlin Heidelberg. doi:10.1007/bfb0054478

DOI: 10.1007/bfb0054478

Spatial reasoning using the quad tesseral representation (Journal article)

Coenen, F. P., Beattie, B., Shave, M. J. R., Bench-Capon, T. J. M., & Diaz, B. M. (1998). Spatial reasoning using the quad tesseral representation. ARTIFICIAL INTELLIGENCE REVIEW, 12(4), 321-343. doi:10.1023/A:1006541105578

DOI: 10.1023/A:1006541105578

1997

An AI Approach to Noise Prediction (Journal article)

Brown, A. G. P., Coenen, F. P., Shave, M. J., & Knight, M. W. (1997). An AI Approach to Noise Prediction. Building Acoustics, 4(2), 137-150. doi:10.1177/1351010x9700400205

DOI: 10.1177/1351010x9700400205

A tesseral approach to N-dimensional spatial reasoning (Conference Paper)

Coenen, F. P., Beattie, B., Bench-Capon, T. J. M., Diaz, B. M., & Shave, M. J. R. (1997). A tesseral approach to N-dimensional spatial reasoning. In Unknown Conference (pp. 633-642). Springer Berlin Heidelberg. doi:10.1007/bfb0022071

DOI: 10.1007/bfb0022071

Coordinating Human and Software Agents through Electronic Mail (Chapter)

Finch, I., Coenen, F., Bench-Capon, T., & Shave, M. (1997). Coordinating Human and Software Agents through Electronic Mail. In Cooperative Knowledge Processing (pp. 64-78). Springer London. doi:10.1007/978-1-4471-3042-0_4

DOI: 10.1007/978-1-4471-3042-0_4

1996

An ontology for linear spatial reasoning (Conference Paper)

Coenen, F., Beattie, B., BenchCapon, T. J. M., Shave, M. J. R., & Diaz, B. M. (1996). An ontology for linear spatial reasoning. In DATABASE AND EXPERT SYSTEMS APPLICATIONS Vol. 1134 (pp. 718-727). Retrieved from https://www.webofscience.com/

Temporal reasoning using tesseral addressing: Towards an intelligent environmental impact assessment system (Journal article)

Coenen, F., Beattie, B., Diaz, B., BenchCapon, T. J. M., & Shave, M. J. R. (1996). Temporal reasoning using tesseral addressing: Towards an intelligent environmental impact assessment system. KNOWLEDGE-BASED SYSTEMS, 9(5), 287-300. doi:10.1016/0950-7051(96)01036-2

DOI: 10.1016/0950-7051(96)01036-2

1995

Using cooperating knowledge-based systems to reduce information overload (Conference Paper)

Finch, I., Coenen, F., Bench-Capon, T., & Shave, M. (1995). Using cooperating knowledge-based systems to reduce information overload. In IEE Colloquium (Digest).

Advanced binary encoded matrix representation for rule base verification (Journal article)

Coenen, F. (1995). Advanced binary encoded matrix representation for rule base verification. Knowledge-Based Systems, 8(4), 201-210. doi:10.1016/0950-7051(95)96217-f

DOI: 10.1016/0950-7051(95)96217-f

Developing distributed database applications using TSL (Conference Paper)

Coenen, F. P., Finch, I., Shave, M. J. R., & Bench-Capon, T. J. M. (1995). Developing distributed database applications using TSL. In Unknown Conference (pp. 58-67). Springer Berlin Heidelberg. doi:10.1007/bfb0049105

DOI: 10.1007/bfb0049105

Spatial reasoning for GIS using a tesseral data representation (Conference Paper)

Beattie, B., Coenen, F., Bench-Capon, T. J. M., Diaz, B. M., & Shave, M. J. R. (1995). Spatial reasoning for GIS using a tesseral data representation. In Unknown Conference (pp. 207-216). Springer Berlin Heidelberg. doi:10.1007/bfb0049119

DOI: 10.1007/bfb0049119

1994

A binary encoded incidence matrix representation for KBS Verification (Journal article)

Coenen, F. (1994). A binary encoded incidence matrix representation for KBS Verification. Robotics and Computer-Integrated Manufacturing, 11(3), 221-232. doi:10.1016/0736-5845(94)90037-x

DOI: 10.1016/0736-5845(94)90037-x

1993

Representing visual conditions in a legal knowledge based system (Conference Paper)

Coenen, F., Bench-Capon, T., & Smeaton, P. (1993). Representing visual conditions in a legal knowledge based system. In Proceedings of the fourth international conference on Artificial intelligence and law - ICAIL '93. ACM Press. doi:10.1145/158976.159009

DOI: 10.1145/158976.159009

Argument‐based explanation of the British nationality act as a logic program (Journal article)

Bench‐Capon, T., Coenen, F., & Orton, P. (1993). Argument‐based explanation of the British nationality act as a logic program. Information & Communications Technology Law, 2(1), 53-66. doi:10.1080/13600834.1993.9965668

DOI: 10.1080/13600834.1993.9965668

EXPERT-SYSTEM SUPPORT FOR TEAMS OF MOBILE DISTRIBUTED ENGINEERS (Conference Paper)

COENEN, F., BENCHCAPON, T. J. M., SHAVE, M. J. R., & FINCH, I. (1993). EXPERT-SYSTEM SUPPORT FOR TEAMS OF MOBILE DISTRIBUTED ENGINEERS. In APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING VIII, VOL 1 (pp. 491-504). Retrieved from https://www.webofscience.com/

Two aspects of the validation and verification of knowledge-based systems (Journal article)

Bench-Capon, T., Coenen, F., Nwana, H. S., Paton, R., & Shave, M. (1993). Two aspects of the validation and verification of knowledge-based systems. IEEE Expert, 8(3), 76-81. doi:10.1109/64.215226

DOI: 10.1109/64.215226

Using allspeak to reverse engineer KBS specifications (Conference Paper)

Threadgold, R., & Coenen, F. (1993). Using allspeak to reverse engineer KBS specifications. In Applications of Artificial Intelligence in Engineering Vol. 2 (pp. 61-76).

Verification of rule-bases using incidence matrices: The IMVER system (Conference Paper)

Coenen, F., Taleb-Bendiab, A., & Forster, R. (1993). Verification of rule-bases using incidence matrices: The IMVER system. In Applications of Artificial Intelligence in Engineering Vol. 1 (pp. 247-260).

1992

KBS MAINTENANCE VALIDATION USING SIMULATION (Conference Paper)

COENEN, F., & BENCHCAPON, T. J. M. (1992). KBS MAINTENANCE VALIDATION USING SIMULATION. In APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENGINEERING VII (pp. 215-228). Retrieved from https://www.webofscience.com/

THE MAINTENANCE OF LEGAL KNOWLEDGE BASED SYSTEMS (Journal article)

BENCHCAPON, T., & COENEN, F. (1992). THE MAINTENANCE OF LEGAL KNOWLEDGE BASED SYSTEMS. ARTIFICIAL INTELLIGENCE REVIEW, 6(2), 129-143. doi:10.1007/BF00150230

DOI: 10.1007/BF00150230

Isomorphism and legal knowledge based systems (Journal article)

Bench-Capon, T. J. M., & Coenen, F. P. (1992). Isomorphism and legal knowledge based systems. Artificial Intelligence and Law, 1(1), 65-86. doi:10.1007/bf00118479

DOI: 10.1007/bf00118479

Building Knowledge Based Systems for Maintainability (Chapter)

Coenen, F., & Bench-Capon, T. (1992). Building Knowledge Based Systems for Maintainability. In Database and Expert Systems Applications (pp. 415-420). Springer Vienna. doi:10.1007/978-3-7091-7557-6_71

DOI: 10.1007/978-3-7091-7557-6_71

Electronic Chart Representation and Interaction (Chapter)

Coenen, F., Fawcett, S., Smeaton, P., & Bench-Capon, T. (1992). Electronic Chart Representation and Interaction. In Database and Expert Systems Applications (pp. 543). Springer Vienna. doi:10.1007/978-3-7091-7557-6_92

DOI: 10.1007/978-3-7091-7557-6_92

INTEGRATING LEGAL SUPPORT SYSTEMS THROUGH DOCUMENT MODELS (Journal article)

BENCHCAPON, T. J. M., COENEN, F., & DUNNE, P. E. S. (1992). INTEGRATING LEGAL SUPPORT SYSTEMS THROUGH DOCUMENT MODELS. EXPERT SYSTEMS WITH APPLICATIONS, 4(4), 355-362. doi:10.1016/0957-4174(92)90128-F

DOI: 10.1016/0957-4174(92)90128-F

MAINTENANCE TOOLS FOR KNOWLEDGE-BASED SYSTEMS - THE MAKE PROJECT (Journal article)

BENCHCAPON, T., & COENEN, F. (1992). MAINTENANCE TOOLS FOR KNOWLEDGE-BASED SYSTEMS - THE MAKE PROJECT. EXPERT SYSTEMS WITH APPLICATIONS, 5(3-4), 267-273. doi:10.1016/0957-4174(92)90011-G

DOI: 10.1016/0957-4174(92)90011-G

1991

A Graphical Interactive Tool for KBS Maintenance (Chapter)

Coenen, F., & Bench-Capon, T. (1991). A Graphical Interactive Tool for KBS Maintenance. In Database and Expert Systems Applications (pp. 166-171). Springer Vienna. doi:10.1007/978-3-7091-7555-2_28

DOI: 10.1007/978-3-7091-7555-2_28

KBS in Marine Collision Avoidance (Chapter)

Coenen, F., & Smeaton, P. (1991). KBS in Marine Collision Avoidance. In Applications of Artificial Intelligence in Engineering VI (pp. 529-539). Springer Netherlands. doi:10.1007/978-94-011-3648-8_34

DOI: 10.1007/978-94-011-3648-8_34

Rule-based algorithms for geographic constraints in a marine knowledge-based system (Journal article)

Coenen, F., & Smeaton, P. (1991). Rule-based algorithms for geographic constraints in a marine knowledge-based system. Knowledge-Based Systems, 4(3), 157-164. doi:10.1016/0950-7051(91)90004-l

DOI: 10.1016/0950-7051(91)90004-l

1990

Developing an intelligent marine navigation system (Journal article)

Smeaton, G. P., & Coenen, F. P. (1990). Developing an intelligent marine navigation system. Computing & Control Engineering Journal, 1(2), 95. doi:10.1049/cce:19900024

DOI: 10.1049/cce:19900024

1989

Knowledge-based Collision Avoidance (Journal article)

Coenen, F. P., Smeaton, G. P., & Bole, A. G. (1989). Knowledge-based Collision Avoidance. Journal of Navigation, 42(1), 107-116. doi:10.1017/s0373463300015125

DOI: 10.1017/s0373463300015125