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ORCIDFrans Coenen
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- affiliation: University of Liverpool, UK
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2020 – today
- 2024
[j79]Kevin Kam Fung Yuen
, Jenq-Shiou Leu, Alessio Ishizaka, Hissam Tawfik, Frans Coenen:
Editorial for Special Issue on "Expert decision making for data analytics with applications". Appl. Soft Comput. 155: 111480 (2024)- [j78]Mohd Suhairi Md Suhaimin, Mohd. Hanafi Ahmad Hijazi, Ervin Gubin Moung, Puteri Nor Ellyza binti Nohuddin, Stephanie Chua, Frans Coenen:
Corrigendum to "Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions" [J. King Saud Univ. - Comput. Inform. Sci. 35(9) (2023) 101776]. J. King Saud Univ. Comput. Inf. Sci. 36(6): 102121 (2024) - [c237]Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen:
Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching. DEMI@MICCAI 2024: 95-104 - 2023
- [j77]Nawal Almutairi, Frans Coenen, Keith Dures:
PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning. IEEE Access 11: 31657-31675 (2023) - [j76]Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma:
Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset. Algorithms 16(1): 24 (2023) - [j75]Zitao Song, Yining Wang, Pin Qian, Sifan Song, Frans Coenen, Zhengyong Jiang, Jionglong Su:
From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization. Appl. Intell. 53(12): 15188-15203 (2023) - [j74]Huafeng Hu, Ruijie Ye, Jeyan Thiyagalingam, Frans Coenen, Jionglong Su:
Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis. Appl. Intell. 53(17): 20311-20326 (2023) - [j73]Abouzar Choubineh, Jie Chen, David A. Wood, Frans Coenen, Fei Ma:
Deep ensemble learning for high-dimensional subsurface fluid flow modeling. Eng. Appl. Artif. Intell. 126: 106968 (2023) - [j72]Shuying Hu, Qiufeng Wang, Kaizhu Huang, Min Wen, Frans Coenen:
Retrieval-based language model adaptation for handwritten Chinese text recognition. Int. J. Document Anal. Recognit. 26(2): 109-119 (2023) - [j71]Omar Elnaggar, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti:
Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies. Inf. Fusion 95: 215-236 (2023) - [j70]Abouzar Choubineh, Jie Chen, Frans Coenen, Fei Ma:
A Quantitative Insight Into the Role of Skip Connections in Deep Neural Networks of Low Complexity: A Case Study Directed at Fluid Flow Modeling. J. Comput. Inf. Sci. Eng. 23(1) (2023) - [j69]Mohd Suhairi Md Suhaimin, Mohd. Hanafi Ahmad Hijazi, Ervin Gubin Moung, Puteri Nor Ellyza binti Nohuddin, Stephanie Chua, Frans Coenen:
Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions. J. King Saud Univ. Comput. Inf. Sci. 35(9): 101776 (2023) - [c236]Sifan Song, Jinfeng Wang, Fengrui Cheng, Qirui Cao, Yihan Zuo, Yongteng Lei, Ruomai Yang, Chunxiao Yang, Frans Coenen, Jia Meng, Kang Dang, Jionglong Su:
A Robust Framework of Chromosome Straightening With Vit-Patch Gan. ISBI 2023: 1-5 - [e12]Frans Coenen, Ana Fred, David Aveiro, Jan L. G. Dietz, Jorge Bernardino, Elio Masciari, Joaquim Filipe:
Knowledge Discovery, Knowledge Engineering and Knowledge Management - 14th International Joint Conference, IC3K 2022, Valletta, Malta, October 24-26, 2022, Revised Selected Papers. Communications in Computer and Information Science 1842, Springer 2023, ISBN 978-3-031-43470-9 [contents] - [e11]Ana Fred, Frans Coenen, Jorge Bernardino:
Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2023, Volume 1: KDIR, Rome, Italy, November 13-15, 2023. SCITEPRESS 2023, ISBN 978-989-758-671-2 [contents] - [i9]Omar Elnaggar, Roselina Arelhi, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti:
KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study. CoRR abs/2301.03469 (2023) - [i8]Jingxuan Kang, Tudor Jianu, Baoru Huang, Binod Bhattarai, Ngan Le, Frans Coenen, Anh Nguyen:
Translating Simulation Images to X-ray Images via Multi-Scale Semantic Matching. CoRR abs/2304.07693 (2023) - 2022
- [j68]Qi Chen, Wei Wang, Kaizhu Huang, Frans Coenen:
Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data. IEEE Internet Things J. 9(12): 9205-9213 (2022) - [j67]Kai Yao, Zixian Su, Kaizhu Huang, Xi Yang, Jie Sun, Amir Hussain, Frans Coenen:
A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(10): 4976-4986 (2022) - [c235]Jing Qi, Girvan Burnside, Frans Coenen:
Pathology Data Prioritisation: A Study Using Multi-variate Time Series. DaWaK 2022: 149-162 - [c234]Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, Yalin Zheng:
Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification. IC3K 2022: 3-27 - [c233]Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, Yalin Zheng:
Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram. KDIR 2022: 19-28 - [c232]Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding:
Bilateral-ViT For Robust Fovea Localization. ISBI 2022: 1-5 - [c231]Jing Qi, Girvan Burnside, Frans Coenen:
Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach. SGAI Conf. 2022: 51-63 - [c230]Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, Yalin Zheng:
Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor. SGAI Conf. 2022: 64-80 - [c229]Iqra Muhammad, Frans Coenen, Carol Gamble, Anna Kearney, Paula Williamson:
Query Resolution of Literature Knowledge Graphs Using Hybrid Document Embeddings. SGAI Conf. 2022: 98-111 - [e10]Frans Coenen, Ana Fred, Joaquim Filipe:
Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022, Volume 1: KDIR, Valletta, Malta, October 24-26, 2022. SCITEPRESS 2022, ISBN 978-989-758-614-9 [contents] - [i7]Sifan Song, Jinfeng Wang, Fengrui Cheng, Qirui Cao, Yihan Zuo, Yongteng Lei, Ruomai Yang, Chunxiao Yang, Frans Coenen, Jia Meng, Kang Dang, Jionglong Su:
A Robust Framework of Chromosome Straightening with ViT-Patch GAN. CoRR abs/2203.02901 (2022) - [i6]Omar Elnaggar, Frans Coenen, Andrew Hopkinson, Lyndon Mason, Paolo Paoletti:
Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies. CoRR abs/2205.10778 (2022) - [i5]Huafeng Hu, Ruijie Ye, Jeyarajan Thiyagalingam, Frans Coenen, Jionglong Su:
CNN-based Classification Framework for Lung Tissues with Auxiliary Information. CoRR abs/2206.06701 (2022) - 2021
- [j66]Yue Wang, Kunqi Chen, Zhen Wei, Frans Coenen, Jionglong Su, Jia Meng:
MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis. Bioinform. 37(9): 1285-1291 (2021) - [j65]Daiyun Huang, Bowen Song, Jingjue Wei, Jionglong Su, Frans Coenen, Jia Meng:
Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data. Bioinform. 37(Supplement): 222-230 (2021) - [j64]Nawal Almutairi, Frans Coenen, Keith Dures:
Secure third-party data clustering using SecureCL, Φ-data and multi-user order preserving encryption. Expert Syst. J. Knowl. Eng. 38(7) (2021) - [j63]Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen:
Multi-modal generative adversarial networks for traffic event detection in smart cities. Expert Syst. Appl. 177: 114939 (2021) - [j62]Choon Beng Tan, Mohd. Hanafi Ahmad Hijazi, Norazlina Khamis, Puteri Nor Ellyza binti Nohuddin, Zuraini Zainol, Frans Coenen, Abdullah Gani:
A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction. Multim. Tools Appl. 80(21): 32725-32762 (2021) - [j61]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Modelling and Prediction. J. Data Intell. 2(3): 348-367 (2021) - [j60]Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen:
Automated Social Text Annotation With Joint Multilabel Attention Networks. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2224-2238 (2021) - [c228]Sifan Song, Daiyun Huang, Yalun Hu, Chunxiao Yang, Jia Meng, Fei Ma, Frans Coenen, Jiaming Zhang, Jionglong Su:
A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image. CISP-BMEI 2021: 1-9 - [c227]Mohammed Alshehri, Frans Coenen, Keith Dures:
Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping. DATA 2021: 184-191 - [c226]Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson:
Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank. DaWaK 2021: 116-127 - [c225]Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, Yalin Zheng:
Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification. DaWaK 2021: 235-241 - [c224]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis. DeLTA 2021: 123-131 - [c223]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Forecasting the UN Sustainable Development Goals. DeLTA (Selected Papers) 2021: 88-110 - [c222]Jing Qi, Girvan Burnside, Frans Coenen:
Pathology Data Prioritisation: A Study of Using Multi-variate Time Series Without a Ground Truth. IC3K 2021: 1-20 - [c221]Jing Qi, Girvan Burnside, Paul Charnley, Frans Coenen:
Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification. KDIR 2021: 121-128 - [c220]Martin Mansfield, Valentina A. M. Tamma, Phil Goddard, Frans Coenen:
Capturing Expert Knowledge for Building Enterprise SME Knowledge Graphs. K-CAP 2021: 129-136 - [c219]Jing Qi, Girvan Burnside, Frans Coenen:
Ranking Pathology Data in the Absence of a Ground Truth. SGAI Conf. 2021: 209-223 - [c218]Alexandar Vincent-Paulraj, Girvan Burnside, Frans Coenen, Munir Pirmohamed, Lauren Walker:
Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity. SGAI Conf. 2021: 241-253 - [c217]Hanadi Aldosari, Frans Coenen, Gregory Y. H. Lip, Yalin Zheng:
Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification. SGAI Conf. 2021: 254-266 - [i4]Sifan Song, Kang Dang, Qinji Yu, Zilong Wang, Frans Coenen, Jionglong Su, Xiaowei Ding:
Bilateral-ViT for Robust Fovea Localization. CoRR abs/2110.09860 (2021) - 2020
- [j59]Nawal Almutairi, Frans Coenen, Keith Dures:
A Cryptographic Ensemble for secure third party data analysis: Collaborative data clustering without data owner participation. Data Knowl. Eng. 126: 101734 (2020) - [j58]Hang Dong, Wei Wang, Frans Coenen, Kaizhu Huang:
Knowledge base enrichment by relation learning from social tagging data. Inf. Sci. 526: 203-220 (2020) - [c216]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction. COLING 2020: 6424-6435 - [c215]Yassir Alharbi, Frans Coenen, Daniel Arribas-Bel:
Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology. DaWaK 2020: 183-196 - [c214]Iqra Muhammad, Anna Kearney, Carrol Gamble, Frans Coenen, Paula Williamson:
Open Information Extraction for Knowledge Graph Construction. DEXA Workshops 2020: 103-113 - [c213]Robert Bevan, Frans Coenen:
Experiments in Non-Personalized Future Blood Glucose Level Prediction. KDH@ECAI 2020: 100-104 - [c212]Ahmad Shahzad, Frans Coenen:
Efficient Distributed MST Based Clustering for Recommender Systems. ICDM (Workshops) 2020: 206-210 - [c211]Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen:
Adversarial Domain Adaptation for Crisis Data Classification on Social Media. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2020: 282-287 - [c210]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering. LREC 2020: 2017-2025 - [c209]Mohammed Alshehri, Frans Coenen, Keith Dures:
Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach. SGAI Conf. 2020: 273-285 - [c208]Omar Elnaggar, Frans Coenen, Paolo Paoletti:
In-Bed Human Pose Classification Using Sparse Inertial Signals. SGAI Conf. 2020: 331-344 - [c207]Iqra Muhammad, Danushka Bollegala, Frans Coenen, Carrol Gamble, Anna Kearney, Paula Williamson:
Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience. SGAI Conf. 2020: 345-357 - [c206]Qi Chen, Wei Wang, Kaizhu Huang, Suparna De, Frans Coenen:
Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media. SMARTCOMP 2020: 232-237 - [i3]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Contextualised Graph Attention for Improved Relation Extraction. CoRR abs/2004.10624 (2020) - [i2]Angrosh Mandya, James O'Neill, Danushka Bollegala, Frans Coenen:
Do not let the history haunt you - Mitigating Compounding Errors in Conversational Question Answering. CoRR abs/2005.05754 (2020)
2010 – 2019
- 2019
- [j57]Chun Guan, Kevin Kam Fung Yuen, Frans Coenen:
Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches. Swarm Evol. Comput. 44: 876-896 (2019) - [c205]Nahla Aburawi, Frans Coenen, Alexei Lisitsa:
Querying Encrypted Data in Graph Databases. ACRIT 2019: 367-382 - [c204]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. AKBC 2019 - [c203]Saad Alajlan, Frans Coenen, Boris Konev, Angrosh Mandya:
Ontology Learning from Twitter Data. KEOD 2019: 94-103 - [c202]Saad Alajlan, Frans Coenen, Angrosh Mandya:
From Semi-automated to Automated Methods of Ontology Learning from Twitter Data. IC3K 2019: 213-236 - [c201]Hajar Al-Hujailan, Frans Coenen:
Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram. KDIR 2019: 266-273 - [c200]Mohammed Alshehri, Frans Coenen, Keith Dures:
Sub-Sequence-Based Dynamic Time Warping. KDIR 2019: 274-281 - [c199]Yassir Alharbi, Daniel Arribas-Bel, Frans Coenen:
Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling. KDIR 2019: 297-304 - [c198]Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Automated Bundle Pagination Using Machine Learning. ICAIL 2019: 244-248 - [c197]Harry Pratt, Frans Coenen, Yalin Zheng:
Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural Network. KDH@IJCAI 2019: 23-29 - [c196]Robert Bevan, Alessandro Torrisi, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Extracting Supporting Evidence from Medical Negligence Claim Texts. KDH@IJCAI 2019: 50-54 - [c195]Alessandro Torrisi, Robert Bevan, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents. JURIX 2019: 223-228 - [c194]Zhengyong Jiang, Frans Coenen:
Long Short-Term Memory-based Multi-Period Price Prediction for Portfolio Management. MLDM (1) 2019: 187-200 - [c193]Hang Dong, Wei Wang, Kaizhu Huang, Frans Coenen:
Joint Multi-Label Attention Networks for Social Text Annotation. NAACL-HLT (1) 2019: 1348-1354 - [c192]Angrosh Mandya, Danushka Bollegala, Frans Coenen:
Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering. PACLING 2019: 280-292 - [c191]Hajar Al-Hujailan, Frans Coenen:
Motif Discovery in Long Time Series: Classifying Phonocardiograms. SGAI Conf. 2019: 198-212 - [c190]Mohammed Alshehri, Frans Coenen, Keith Dures:
Effective Sub-Sequence-Based Dynamic Time Warping. SGAI Conf. 2019: 293-305 - [e9]Nirmalie Wiratunga, Frans Coenen, Sadiq Sani:
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, KDH@IJCAI 2019, Macao, China, August 10th, 2019. CEUR Workshop Proceedings 2429, CEUR-WS.org 2019 [contents] - 2018
- [j56]Harry Pratt, Bryan M. Williams, Jae Ku, Charles Vas, Emma McCann, Baidaa Al-Bander, Yitian Zhao, Frans Coenen, Yalin Zheng:
Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography. J. Imaging 4(1): 4 (2018) - [j55]Xia Cui, Noor Al-Bazzaz, Danushka Bollegala, Frans Coenen:
A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification. Knowl. Eng. Rev. 33: e5 (2018) - [j54]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Iterative Keystroke Continuous Authentication: A Time Series Based Approach. Künstliche Intell. 32(4): 231-243 (2018) - [c189]Said Al-Riyami, Frans Coenen, Alexei Lisitsa:
A Re-evaluation of Intrusion Detection Accuracy: Alternative Evaluation Strategy. CCS 2018: 2195-2197 - [c188]Nahla Aburawi, Frans Coenen, Alexei Lisitsa:
Traversal-aware Encryption Adjustment for Graph Databases. DATA 2018: 381-387 - [c187]Nawal Almutairi, Frans Coenen, Keith Dures:
Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix. DaWaK 2018: 163-173 - [c186]Nawal Almutairi, Frans Coenen, Keith Dures:
Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices. IC3K 2018: 3-24 - [c185]Nawal Almutairi, Frans Coenen, Keith Dures:
Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices. KDIR 2018: 39-48 - [c184]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication. ICISSP 2018: 62-73 - [c183]Nahla Aburawi, Alexei Lisitsa, Frans Coenen:
Querying Encrypted Graph Databases. ICISSP 2018: 447-451 - [c182]Hang Dong, Wei Wang, Frans Coenen:
Rules for Inducing Hierarchies from Social Tagging Data. iConference 2018: 345-355 - [c181]Robert Bevan, Alessandro Torrisi, Katie Atkinson, Danushka Bollegala, Frans Coenen:
Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning. JURIX 2018: 171-175 - [c180]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
A Dataset for Inter-Sentence Relation Extraction using Distant Supervision. LREC 2018 - [c179]Fatimah Binta Abdullahi, Frans Coenen:
Multi-dimensional Banded Pattern Mining. PKAW 2018: 154-169 - [c178]Hang Dong, Wei Wang, Frans Coenen:
Learning Relations from Social Tagging Data. PRICAI (1) 2018: 29-41 - [c177]Hajar Al-Hujailan, Frans Coenen, Jo Dukes-McEwan, Jeyarajan Thiyagalingam:
Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach. PRICAI 2018: 100-112 - [c176]Nawal Almutairi, Frans Coenen, Keith Dures:
Secure Third Party Data Clustering Using \varPhi Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper). SGAI Conf. 2018: 3-17 - [i1]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction. CoRR abs/1811.00845 (2018) - 2017
- [j53]Abdulrahman Albarrak, Frans Coenen, Yalin Zheng:
Volumetric image classification using homogeneous decomposition and dictionary learning: A study using retinal optical coherence tomography for detecting age-related macular degeneration. Comput. Medical Imaging Graph. 55: 113-123 (2017) - [j52]Esra'a Alshdaifat, Frans Coenen, Keith Dures:
A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification. Int. J. Data Warehous. Min. 13(3): 73-90 (2017) - [j51]Ayesh Alshukri, Frans Coenen:
Mining the information architecture of the WWW using automated website boundary detection. Web Intell. 15(4): 269-290 (2017) - [c175]Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa:
On the mining and usage of Movement Patterns in large traffic networks. BigComp 2017: 135-142 - [c174]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Classifier-Based Pattern Selection Approach for Relation Instance Extraction. CICLing (1) 2017: 418-434 - [c173]Nawal Almutairi, Frans Coenen, Keith Dures:
K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction. DaWaK 2017: 274-285 - [c172]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain. IC3K 2017: 43-66 - [c171]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming. KDIR 2017: 61-70 - [c170]Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa:
User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network. KDIR 2017: 173-180 - [c169]Matias Garcia-Constantino, Katie Atkinson, Danushka Bollegala, Karl Chapman, Frans Coenen, Claire Roberts, Katy Robson:
CLIEL: context-based information extraction from commercial law documents. ICAIL 2017: 79-87 - [c168]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Spectral Keyboard Streams: Towards Effective and Continuous Authentication. ICDM Workshops 2017: 242-249 - [c167]Iman Sedeeq, Frans Coenen, Alexei Lisitsa:
Attribute Permutation Steganography Detection using Attribute Position Changes Count. ICISSP 2017: 95-100 - [c166]Yizhang Xia, Baitong Chen, Wenjin Lu, Frans Coenen, Bailing Zhang:
Attributes-oriented clothing description and retrieval with multi-task convolutional neural network. ICNC-FSKD 2017: 804-808 - [c165]Rongqiang Qian, Bailing Zhang, Frans Coenen, Yong Yue:
Multilingual and skew license plate detection based on extremal regions. ICNC-FSKD 2017: 850-855 - [c164]Iman Sedeeq, Frans Coenen, Alexei Lisitsa:
A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages. IWDW 2017: 235-247 - [c163]Harry Pratt, Bryan M. Williams, Jae Ku, Frans Coenen, Yalin Zheng:
Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography. MIUA 2017: 27-37 - [c162]Angrosh Mandya, Danushka Bollegala, Frans Coenen, Katie Atkinson:
Frame-Based Semantic Patterns for Relation Extraction. PACLING 2017: 51-62 - [c161]Xia Cui, Frans Coenen, Danushka Bollegala:
Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies. LIDTA@PKDD/ECML 2017: 103-115 - [c160]Xia Cui, Frans Coenen, Danushka Bollegala:
TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation. ECML/PKDD (2) 2017: 754-771 - [c159]Harry Pratt, Bryan M. Williams, Frans Coenen, Yalin Zheng:
FCNN: Fourier Convolutional Neural Networks. ECML/PKDD (1) 2017: 786-798 - 2016
- [j50]Chao Yan, Frans Coenen, Bailing Zhang:
Driving posture recognition by convolutional neural networks. IET Comput. Vis. 10(2): 103-114 (2016) - [j49]Chao Yan, Frans Coenen, Yong Yue, Xiaosong Yang, Bailing Zhang:
Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features. Int. J. Pattern Recognit. Artif. Intell. 30(5): 1650010:1-1650010:33 (2016) - [j48]Yizhang Xia, Bailing Zhang, Frans Coenen:
Face Occlusion Detection Using Deep Convolutional Neural Networks. Int. J. Pattern Recognit. Artif. Intell. 30(9): 1660010:1-1660010:24 (2016) - [j47]Bay Vo, Tuong Le, Frans Coenen, Tzung-Pei Hong:
Mining frequent itemsets using the N-list and subsume concepts. Int. J. Mach. Learn. Cybern. 7(2): 253-265 (2016) - [j46]Puteri Nor Ellyza binti Nohuddin, Frans Coenen, Rob M. Christley:
The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework. Soc. Netw. Anal. Min. 6(1): 45:1-45:17 (2016) - [j45]Fatimah Binta Abdullahi, Frans Coenen, Russell Martin:
Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data. Trans. Large Scale Data Knowl. Centered Syst. 26: 1-31 (2016) - [c158]Katie Atkinson, Frans Coenen, Phil Goddard, Terry R. Payne, Luke Riley:
nDrites: Enabling Laboratory Resource Multi-agent Systems. EMAS@AAMAS 2016: 1-21 - [c157]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Keyboard Usage Authentication Using Time Series Analysis. DaWaK 2016: 239-252 - [c156]Frans Coenen, Kwankamon Dittakan:
Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection. IC3K 2016: 3-27 - [c155]Frans Coenen:
Mining Satellite Images for Census Data Collection: A Study Using the Google Static Maps Service. KDIR 2016: 7-8 - [c154]Iman Sedeeq, Frans Coenen, Alexei Lisitsa:
A Statistical Approach to the Detection of HTML Attribute Permutation Steganography. ICISSP 2016: 522-527 - [c153]Rongqiang Qian, Yong Yue, Frans Coenen, Bailing Zhang:
Traffic sign recognition using visual attribute learning and convolutional neural network. ICMLC 2016: 386-391 - [c152]Rongqiang Qian, Qianyu Liu, Yong Yue, Frans Coenen, Bailing Zhang:
Road surface traffic sign detection with hybrid region proposal and fast R-CNN. ICNC-FSKD 2016: 555-559 - [c151]Rongqiang Qian, Yong Yue, Frans Coenen, Bailing Zhang:
Traffic sign recognition with convolutional neural network based on max pooling positions. ICNC-FSKD 2016: 578-582 - [c150]Muhammad Tufail, Frans Coenen, Tintin Mu:
Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations. MABS 2016: 128-140 - [c149]Harry Pratt, Frans Coenen, Deborah M. Broadbent, Simon P. Harding, Yalin Zheng:
Convolutional Neural Networks for Diabetic Retinopathy. MIUA 2016: 200-205 - [c148]Kwankamon Dittakan, Frans Coenen:
Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery. PRICAI 2016: 93-105 - [c147]Akadej Udomchaiporn, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
3-D Volume of Interest Based Image Classification. PRICAI 2016: 543-555 - [c146]Mohammed Al-Zeyadi, Frans Coenen, Alexei Lisitsa:
Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes. SGAI Conf. 2016: 53-67 - [c145]Abdullah Alshehri, Frans Coenen, Danushka Bollegala:
Towards Keystroke Continuous Authentication Using Time Series Analytics. SGAI Conf. 2016: 325-339 - 2015
- [j44]Yungang Zhang, Bailing Zhang, Frans Coenen, Jimin Xiao, Wenjin Lu:
Erratum to: One-class kernel subspace ensemble for medical image classification. EURASIP J. Adv. Signal Process. 2015: 88 (2015) - [j43]Subhieh El-Salhi, Frans Coenen, Clare Dixon, M. Sulaiman Khan:
Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming. Expert Syst. Appl. 42(1): 79-93 (2015) - [c144]Fatimah Binta Abdullahi, Frans Coenen, Russell Martin:
Finding banded patterns in big data using sampling. IEEE BigData 2015: 2233-2242 - [c143]Fatimah Binta Abdullahi, Frans Coenen, Russell Martin:
Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm. DaWaK 2015: 95-107 - [c142]Katie Atkinson, Frans Coenen, Phil Goddard, Terry R. Payne, Luke Riley:
Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction. DaWaK 2015: 283-295 - [c141]Yizhang Xia, Bailing Zhang, Frans Coenen:
Face occlusion detection based on multi-task convolution neural network. FSKD 2015: 375-379 - [c140]Rongqiang Qian, Bailing Zhang, Yong Yue, Frans Coenen:
Traffic sign detection by template matching based on multi-level chain code histogram. FSKD 2015: 2400-2404 - [c139]Chao Yan, Bailing Zhang, Frans Coenen:
Driving posture recognition by convolutional neural networks. ICNC 2015: 680-685 - [c138]Rongqiang Qian, Bailing Zhang, Yong Yue, Zhao Wang, Frans Coenen:
Robust chinese traffic sign detection and recognition with deep convolutional neural network. ICNC 2015: 791-796 - [c137]Richard Williams, Boris Konev, Frans Coenen:
Scalable distributed collaborative tracking and mapping with Micro Aerial Vehicles. IROS 2015: 3092-3097 - [c136]Puteri Nor Ellyza binti Nohuddin, Frans Coenen, Rob M. Christley, Wataru Sunayama:
Visualisation of Trend Pattern Migrations in Social Networks. IVIC 2015: 77-88 - [c135]Esra'a Alshdaifat, Frans Coenen, Keith Dures:
A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification. SGAI Conf. 2015: 43-57 - [c134]Muhammad Tufail, Frans Coenen, Jane Hurst, Tintin Mu:
Multi Agent Based Simulation Using Movement Patterns Mined from Video Data. SGAI Conf. 2015: 275-287 - [c133]Chun Guan, Kevin Kam Fung Yuen, Frans Coenen:
Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy. SMC 2015: 2039-2042 - [c132]Richard Williams, Boris Konev, Frans Coenen:
Collaborating Low Cost Micro Aerial Vehicles: A Demonstration. TAROS 2015: 296-302 - [e8]Longbing Cao, Yifeng Zeng, Bo An, Andreas L. Symeonidis, Vladimir Gorodetsky, Frans Coenen, Philip S. Yu:
Agents and Data Mining Interaction - 10th International Workshop, ADMI 2014, Paris, France, May 5-9, 2014, Revised Selected Papers. Lecture Notes in Computer Science 9145, Springer 2015, ISBN 978-3-319-20229-7 [contents] - 2014
- [j42]Yungang Zhang, Bailing Zhang, Frans Coenen, Jimin Xiao, Wenjin Lu:
One-class kernel subspace ensemble for medical image classification. EURASIP J. Adv. Signal Process. 2014: 17 (2014) - [j41]Puteri Nor Ellyza binti Nohuddin, Wataru Sunayama, Rob M. Christley, Frans Coenen, Christian Setzkorn:
Trend mining in social networks: from trend identification to visualization. Expert Syst. J. Knowl. Eng. 31(5): 457-468 (2014) - [c131]Muhammad Tufail, Frans Coenen, Tintin Mu, Saqib Jamshid Rind:
Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation. ADMI 2014: 38-51 - [c130]Akadej Udomchaiporn, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
3-D MRI Brain Scan Classification Using A Point Series Based Representation. DaWaK 2014: 300-307 - [c129]Fatimah Binta Abdullahi, Frans Coenen, Russell Martin:
A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data. DaWaK 2014: 345-356 - [c128]Wen Yu, Frans Coenen, Michele Zito, Kwankamon Dittakan:
Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs. ICDM Workshops 2014: 47-54 - [c127]Akadej Udomchaiporn, Frans Coenen, Vanessa Sluming, Marta García-Fiñana:
3-D MRI Brain Scan Classification of Epilepsy versus Non-Epilepsy. MIUA 2014: 247-252 - [c126]Fatimah Binta Abdullahi, Frans Coenen, Russell Martin:
A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores. MLDM 2014: 58-72 - [c125]Esra'a Alshdaifat, Frans Coenen, Keith Dures:
A Multi-path Strategy for Hierarchical Ensemble Classification. MLDM 2014: 198-212 - [c124]Abdulrahman Albarrak, Frans Coenen, Yalin Zheng:
Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration. MLDM 2014: 272-284 - [c123]Nattapong Tongtep, Frans Coenen, Thanaruk Theeramunkong:
Content-Based Readability Assessment: A Study Using A Syllabic Alphabetic Language (Thai). PRICAI 2014: 863-870 - [c122]Ayesh Alshukri, Frans Coenen, Yang Li, Andrew Redfern, Prudence W. H. Wong:
A Framework for Brand Reputation Mining and Visualisation. SGAI Conf. 2014: 301-315 - [c121]Richard Williams, Boris Konev, Frans Coenen:
Multi-agent Environment Exploration with AR.Drones. TAROS 2014: 60-71 - [c120]Ayesh Alshukri, Frans Coenen:
A Dynamic Approach to the Website Boundary Detection Problem Using Random Walks. WI-IAT (1) 2014: 9-14 - 2013
- [j40]Bay Vo, Frans Coenen, Bac Le:
A new method for mining Frequent Weighted Itemsets based on WIT-trees. Expert Syst. Appl. 40(4): 1256-1264 (2013) - [j39]Chuntao Jiang, Frans Coenen, Michele Zito:
A survey of frequent subgraph mining algorithms. Knowl. Eng. Rev. 28(1): 75-105 (2013) - [j38]Yungang Zhang, Bailing Zhang, Frans Coenen, Wenjin Lu:
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles. Mach. Vis. Appl. 24(7): 1405-1420 (2013) - [c119]Zaher Salah, Frans Coenen, Davide Grossi:
Generating Domain-Specific Sentiment Lexicons for Opinion Mining. ADMA (1) 2013: 13-24 - [c118]Akadej Udomchaiporn, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation. ADMA (1) 2013: 229-240 - [c117]Kwankamon Dittakan, Frans Coenen, Rob M. Christley, Maya Wardeh:
A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery. ADMA (1) 2013: 253-264 - [c116]Esra'a Alshdaifat, Frans Coenen, Keith Dures:
Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification. ADMA (1) 2013: 493-504 - [c115]Subhieh El-Salhi, Frans Coenen, Clare Dixon, M. Sulaiman Khan:
Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming. ADMA (1) 2013: 505-516 - [c114]Wen Yu, Frans Coenen, Michele Zito, Subhieh El-Salhi:
Vertex Unique Labelled Subgraph Mining for Vertex Label Classification. ADMA (1) 2013: 542-553 - [c113]Abdulrahman Albarrak, Frans Coenen, Yalin Zheng:
Classification of volumetric retinal images using overlapping decomposition and tree analysis. CBMS 2013: 11-16 - [c112]Kwankamon Dittakan, Frans Coenen, Rob M. Christley, Maya Wardeh:
Population Estimation Mining Using Satellite Imagery. DaWaK 2013: 285-296 - [c111]Wen Yu, Frans Coenen, Michele Zito, Subhieh El-Salhi:
Minimal Vertex Unique Labelled Subgraph Mining. DaWaK 2013: 317-326 - [c110]Zaher Salah, Frans Coenen, Davide Grossi:
Extracting debate graphs from parliamentary transcripts: a study directed at UK house of commons debates. ICAIL 2013: 121-130 - [c109]Yanbo J. Wang, Gang Di, Junxuan Yu, Juan Lei, Frans Coenen:
Feature Representation for Customer Attrition Risk Prediction in Retail Banking. ICDM 2013: 229-238 - [c108]Kwankamon Dittakan, Frans Coenen, Rob M. Christley:
Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland. MLDM 2013: 260-274 - [c107]Wen Yu, Frans Coenen, Michele Zito, Subhieh El-Salhi:
Vertex Unique Labelled Subgraph Mining. SGAI Conf. 2013: 21-37 - [c106]Esra'a Alshdaifat, Frans Coenen, Keith Dures:
Hierarchical Single Label Classification: An Alternative Approach. SGAI Conf. 2013: 39-52 - [c105]Emmanuel Agiriga, Frans Coenen, Jane Hurst, Darek Kowalski:
A Multiagent Based Framework for the Simulation of Mammalian Behaviour. SGAI Conf. 2013: 435-441 - [c104]Tuong Le, Bay Vo, Frans Coenen:
An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets. SMC 2013: 2270-2274 - [c103]Bay Vo, Frans Coenen, Tuong Le, Tzung-Pei Hong:
A Hybrid Approach for Mining Frequent Itemsets. SMC 2013: 4647-4651 - 2012
- [j37]Santhana Chaimontree, Katie Atkinson, Frans Coenen:
A framework for Multi-Agent Based Clustering. Auton. Agents Multi Agent Syst. 25(3): 425-446 (2012) - [j36]Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon:
Multi-agent based classification using argumentation from experience. Auton. Agents Multi Agent Syst. 25(3): 447-474 (2012) - [j35]Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon:
PISA: A framework for multiagent classification using argumentation. Data Knowl. Eng. 75: 34-57 (2012) - [j34]Mohd. Hanafi Ahmad Hijazi, Frans Coenen, Yalin Zheng:
Data mining techniques for the screening of age-related macular degeneration. Knowl. Based Syst. 29: 83-92 (2012) - [j33]Puteri Nor Ellyza binti Nohuddin, Frans Coenen, Rob M. Christley, Christian Setzkorn, Yogesh Patel, Shane Williams:
Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps. Knowl. Based Syst. 29: 104-113 (2012) - [c102]Yungang Zhang, Bailing Zhang, Frans Coenen, Wenjin Lu:
Highly reliable breast cancer diagnosis with cascaded ensemble classifiers. IJCNN 2012: 1-8 - [c101]Juan Lei, Gang Di, Frans Coenen, Yanbo J. Wang:
A Hybrid LR/DT Classification Approach for Customer Attrition Risk Prediction in Retail Banking. ICDM (Poster and Industry Proceedings) 2012: 95-100 - [c100]M. Sulaiman Khan, Frans Coenen, Clare Dixon, Subhieh El-Salhi:
Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming. MLDM 2012: 366-379 - [c99]Matias Garcia-Constantino, Frans Coenen, Peter-J. Noble, Alan D. Radford, Christian Setzkorn:
A Semi-Automated Approach to Building Text Summarisation Classifiers. MLDM 2012: 495-509 - [c98]Puteri Nor Ellyza binti Nohuddin, Frans Coenen, Rob M. Christley, Wataru Sunayama:
Identification and Visualisation of Pattern Migrations in Big Network Data. PRICAI 2012: 883-886 - [c97]Matias Garcia-Constantino, Frans Coenen, P.-J. Noble, Alan D. Radford:
Questionnaire Free Text Summarisation Using Hierarchical Classification. SGAI Conf. 2012: 35-48 - [c96]Subhieh El-Salhi, Frans Coenen, Clare Dixon, M. Sulaiman Khan:
Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming. SGAI Conf. 2012: 391-404 - [c95]Kwankamon Dittakan, Frans Coenen, Rob M. Christley:
Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland. SGAI Conf. 2012: 405-418 - 2011
- [j32]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
Arguing from experience using multiple groups of agents. Argument Comput. 2(1): 51-76 (2011) - [j31]M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen, David C. Reid, Hissam Tawfik:
Finding Associations in Composite Data Sets: The CFARM Algorithm. Int. J. Data Warehous. Min. 7(3): 1-29 (2011) - [j30]Frans Coenen:
Data mining: past, present and future. Knowl. Eng. Rev. 26(1): 25-29 (2011) - [c94]Santhana Chaimontree, Katie Atkinson, Frans Coenen:
A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents. ADMI 2011: 16-29 - [c93]Ashraf Elsayed, Mohd. Hanafi Ahmad Hijazi, Frans Coenen, Marta García-Fiñana, Vanessa Sluming, Yalin Zheng:
Time Series Case Based Reasoning for Image Categorisation. ICCBR 2011: 423-436 - [c92]Stephanie Chua, Frans Coenen:
Rule Learning with Negation for Text Classification. MLDM Posters 2011: 1-14 - [c91]Matias Garcia-Constantino, Frans Coenen, P.-J. Noble, Alan D. Radford, Christian Setzkorn, Aine Tierney:
An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data. MLDM 2011: 387-398 - [c90]Ayesh Alshukri, Frans Coenen, Michele Zito:
Incremental Web-Site Boundary Detection Using Random Walks. MLDM 2011: 414-427 - [c89]Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon, Adam Z. Wyner:
Multi-agent Based Classification Using Argumentation from Experience. PAKDD (2) 2011: 357-369 - [c88]Mohd. Hanafi Ahmad Hijazi, Chuntao Jiang, Frans Coenen, Yalin Zheng:
Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining. ECML/PKDD (2) 2011: 65-80 - [c87]Stephanie Chua, Frans Coenen, Grant Malcolm, Matias Garcia-Constantino:
Using Negation and Phrases in Inducing Rules for Text Classification. SGAI Conf. 2011: 153-166 - [c86]Ayesh Alshukri, Frans Coenen, Michele Zito:
Web-Site Boundary Detection Using Incremental RandomWalk Clustering. SGAI Conf. 2011: 255-268 - [c85]Puteri Nor Ellyza binti Nohuddin, Wataru Sunayama, Rob M. Christley, Frans Coenen, Christian Setzkorn:
Trend Mining and Visualisation in Social Networks. SGAI Conf. 2011: 269-282 - [c84]Emmanuel Agiriga, Frans Coenen, Jane Hurst, Robert J. Beynon, Darek Kowalski:
Towards Large-Scale Multi-Agent Based Rodent Simulation: The "Mice In A Box" Scenario. SGAI Conf. 2011: 369-382 - 2010
- [j29]Chuntao Jiang, Frans Coenen, Robert Sanderson, Michele Zito:
Text classification using graph mining-based feature extraction. Knowl. Based Syst. 23(4): 302-308 (2010) - [j28]M. Sulaiman Khan, Frans Coenen, David C. Reid, R. Patel, L. Archer:
A sliding windows based dual support framework for discovering emerging trends from temporal data. Knowl. Based Syst. 23(4): 316-322 (2010) - [j27]Ashraf Elsayed, Frans Coenen, Chuntao Jiang, Marta García-Fiñana, Vanessa Sluming:
Corpus callosum MR image classification. Knowl. Based Syst. 23(4): 330-336 (2010) - [c83]Santhana Chaimontree, Katie Atkinson, Frans Coenen:
Best Clustering Configuration Metrics: Towards Multiagent Based Clustering. ADMA (1) 2010: 48-59 - [c82]Stephanie Chua, Frans Coenen, Grant Malcolm:
Classification Inductive Rule Learning with Negated Features. ADMA (1) 2010: 125-136 - [c81]Puteri Nor Ellyza binti Nohuddin, Rob M. Christley, Frans Coenen, Yogesh Patel, Christian Setzkorn, Shane Williams:
Frequent Pattern Trend Analysis in Social Networks. ADMA (1) 2010: 358-369 - [c80]Chuntao Jiang, Frans Coenen, Michele Zito:
Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach. ADMA (1) 2010: 405-416 - [c79]Santhana Chaimontree, Katie Atkinson, Frans Coenen:
Clustering in a Multi-Agent Data Mining Environment. ADMI 2010: 103-114 - [c78]Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon:
Arguing in Groups. COMMA 2010: 475-486 - [c77]Chuntao Jiang, Frans Coenen, Michele Zito:
Frequent Sub-graph Mining on Edge Weighted Graphs. DaWak 2010: 77-88 - [c76]Ashraf Elsayed, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
Region of Interest Based Image Categorization. DaWak 2010: 239-250 - [c75]Puteri Nor Ellyza binti Nohuddin, Frans Coenen, Rob M. Christley, Christian Setzkorn:
Detecting Temporal Pattern and Cluster Changes in Social Networks: A Study Focusing UK Cattle Movement Database. Intelligent Information Processing 2010: 163-172 - [c74]Stephanie Chua, Frans Coenen, Grant Malcolm:
Rule Learning with Negation: Issues Regarding Effectiveness. Intelligent Information Processing 2010: 193-202 - [c73]Ashraf Elsayed, Frans Coenen, Marta García-Fiñana, Vanessa Sluming:
Region of Interest Based Image Classification using time series analysis. IJCNN 2010: 1-6 - [c72]Mohd. Hanafi Ahmad Hijazi, Frans Coenen, Yalin Zheng:
Retinal image classification using a histogram based approach. IJCNN 2010: 1-7 - [c71]Santhana Chaimontree, Katie Atkinson, Frans Coenen:
Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining. ICDM 2010: 115-127 - [c70]Mohd. Hanafi Ahmad Hijazi, Frans Coenen, Yalin Zheng:
Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data. ICDM 2010: 197-209 - [c69]Yanbo J. Wang, Fan Li, Frans Coenen, Robert Sanderson, Qin Xin:
Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification. ICDM 2010: 222-236 - [c68]Vassiliki Somaraki, Deborah Broadbent, Frans Coenen, Simon P. Harding:
Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy. ICDM 2010: 418-431 - [c67]Puteri Nor Ellyza binti Nohuddin, Rob M. Christley, Frans Coenen, Christian Setzkorn:
Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database. ICDM 2010: 464-475 - [c66]Ayesh Alshukri, Frans Coenen, Michele Zito:
Web-Site Boundary Detection. ICDM 2010: 529-543 - [c65]Vassiliki Somaraki, Simon P. Harding, Deborah Broadbent, Frans Coenen:
SOMA: A Proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases. SGAI Conf. 2010: 285-290 - [c64]Puteri Nor Ellyza binti Nohuddin, Rob M. Christley, Frans Coenen, Yogesh Patel, Christian Setzkorn, Shane Williams:
Social Network Trend Analysis Using Frequent Pattern Mining and Self Organizing Maps. SGAI Conf. 2010: 311-324 - [c63]Mohd. Hanafi Ahmad Hijazi, Frans Coenen, Yalin Zheng:
Retinal Image Classification for the Screening of Age-Related Macular Degeneration. SGAI Conf. 2010: 325-338
2000 – 2009
- 2009
- [j26]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
PADUA: a protocol for argumentation dialogue using association rules. Artif. Intell. Law 17(3): 183-215 (2009) - [j25]Weiqi Wang, Yanbo J. Wang, René Bañares-Alcántara, Frans Coenen, Zhanfeng Cui:
Analysis of Mesenchymal Stem Cell Differentiation in vitro Using Classification Association Rule Mining. J. Bioinform. Comput. Biol. 7(6): 905-930 (2009) - [j24]Kamal Ali Albashiri, Frans Coenen, Paul H. Leng:
EMADS: An extendible multi-agent data miner. Knowl. Based Syst. 22(7): 523-528 (2009) - [j23]Frans Coenen, Paul H. Leng, Aris Pagourtzis, Wojciech Rytter, Dora Souliou:
Improved methods for extracting frequent itemsets from interim-support trees. Softw. Pract. Exp. 39(6): 551-571 (2009) - [c62]Yanbo J. Wang, Frans Coenen, Robert Sanderson:
A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification. ADMA 2009: 338-349 - [c61]Kamal Ali Albashiri, Frans Coenen:
Agent-Enriched Data Mining Using an Extendable Framework. ADMI 2009: 53-68 - [c60]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
Multi-Party Argument from Experience. ArgMAS 2009: 216-235 - [c59]Maya Wardeh, Frans Coenen, Trevor J. M. Bench-Capon:
Arguing from Experience to Classifying Noisy Data. DaWaK 2009: 354-365 - [c58]Kamal Ali Albashiri, Frans Coenen:
A Generic and Extendible Multi-Agent Data Mining Framework. HAIS 2009: 203-210 - [c57]Weiqi Wang, Yanbo J. Wang, René Bañares-Alcántara, Zhanfeng Cui, Frans Coenen:
Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation. ICDM 2009: 51-61 - [c56]Omar Baqueiro, Yanbo J. Wang, Peter McBurney, Frans Coenen:
Integrating Data Mining and Agent Based Modeling and Simulation. ICDM 2009: 220-231 - [c55]Chuntao Jiang, Frans Coenen, Robert Sanderson, Michele Zito:
Text Classification using Graph Mining-based Feature Extraction. SGAI Conf. 2009: 21-34 - [c54]M. Sulaiman Khan, Frans Coenen, David C. Reid, R. Patel, L. Archer:
A Sliding Windows based Dual Support Framework for Discovering Emerging Trends from Temporal Data. SGAI Conf. 2009: 35-48 - [c53]Ashraf Elsayed, Frans Coenen, Chuntao Jiang, Marta García-Fiñana, Vanessa Sluming:
Corpus Callosum MR Image Classification. SGAI Conf. 2009: 333-346 - [p3]Yanbo J. Wang, Xinwei Zheng, Frans Coenen:
Mining Allocating Patterns in Investment Portfolios. Database Technologies: Concepts, Methodologies, Tools, and Applications 2009: 2657-2684 - [p2]Kamal Ali Albashiri, Frans Coenen:
The EMADS Extendible Multi-Agent Data Mining Framework. Data Mining and Multi-agent Integration 2009: 189-200 - [e7]Max Bramer, Miltos Petridis, Frans Coenen:
Research and Development in Intelligent Systems XXV, Proceedings of AI-2008, the Twenty-eighth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 9-11 December, 2008. Springer 2009, ISBN 978-1-84882-170-5 [contents] - 2008
- [j22]Yanbo J. Wang, Qin Xin, Frans Coenen:
Hybrid Rule Ordering in Classification Association Rule Mining. Trans. Mach. Learn. Data Min. 1(1): 1-15 (2008) - [c52]M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen:
On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining. HEALTHINF (1) 2008: 34-42 - [c51]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
Arguments from Experience: The PADUA Protocol. COMMA 2008: 405-416 - [c50]Yanbo J. Wang, Robert Sanderson, Frans Coenen, Paul H. Leng:
Document-Base Extraction for Single-Label Text Classification. DaWaK 2008: 357-367 - [c49]M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen:
A Weighted Utility Framework for Mining Association Rules. EMS 2008: 87-92 - [c48]Yanbo J. Wang, Xinwei Zheng, Frans Coenen, Cindy Y. Li:
Mining Allocating Patterns in One-Sum Weighted Items. ICDM Workshops 2008: 592-598 - [c47]Kamal Ali Albashiri, Frans Coenen, Paul H. Leng:
Agent Based Frequent Set Meta Mining: Introducing EMADS. IFIP AI 2008: 23-32 - [c46]M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen:
Mining Fuzzy Association Rules from Composite Items. IFIP AI 2008: 67-76 - [c45]M. Sulaiman Khan, Maybin K. Muyeba, Frans Coenen:
Weighted Association Rule Mining from Binary and Fuzzy Data. ICDM 2008: 200-212 - [c44]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
Argument Based Moderation of Benefit Assessment. JURIX 2008: 128-137 - [c43]Maybin K. Muyeba, M. Sulaiman Khan, Frans Coenen:
Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework. PAKDD Workshops 2008: 49-61 - [c42]Maybin K. Muyeba, M. Sulaiman Khan, Frans Coenen:
A Framework for Mining Fuzzy Association Rules from Composite Items. PAKDD Workshops 2008: 62-74 - [c41]Chuntao Jiang, Frans Coenen:
Graph-based Image Classification by Weighting Scheme. SGAI Conf. (Applications) 2008: 63-76 - [c40]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience. SGAI Conf. 2008: 133-146 - [c39]Kamal Ali Albashiri, Frans Coenen, Paul H. Leng:
EMADS: An Extendible Multi-Agent Data Miner. SGAI Conf. 2008: 263-275 - [p1]Yanbo J. Wang, Qin Xin, Frans Coenen:
Mining Efficiently Significant Classification Association Rules. Data Mining: Foundations and Practice 2008: 443-467 - [e6]Max Bramer, Frans Coenen, Miltos Petridis:
Research and Development in Intelligent Systems XXIV, Proceedings of AI-2007, the Twenty-seventh SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, December 2007. Springer 2008, ISBN 978-1-84800-094-0 [contents] - 2007
- [j21]Frans Coenen, Paul H. Leng:
The effect of threshold values on association rule based classification accuracy. Data Knowl. Eng. 60(2): 345-360 (2007) - [c38]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
PADUA Protocol: Strategies and Tactics. ECSQARU 2007: 465-476 - [c37]Yanbo J. Wang, Qin Xin, Frans Coenen:
A Novel Rule Weighting Approach in Classification Association Rule Mining. ICDM Workshops 2007: 271-276 - [c36]Yanbo J. Wang, Qin Xin, Frans Coenen:
A Novel Rule Ordering Approach in Classification Association Rule Mining. MLDM 2007: 339-348 - [c35]Frans Coenen, Paul H. Leng, Robert Sanderson, Yanbo J. Wang:
Statistical Identification of Key Phrases for Text Classification. MLDM 2007: 838-853 - [c34]Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coenen:
Dynamic Rule Mining for Argumentation Based Systems. SGAI Conf. 2007: 65-78 - [c33]Kamal Ali Albashiri, Frans Coenen, Robert Sanderson, Paul H. Leng:
Frequent Set Meta Mining: Towards Multi-Agent Data Mining. SGAI Conf. 2007: 139-151 - [e5]Max Bramer, Frans Coenen, Andrew Tuson:
Research and Development in Intelligent Systems XXIII, Proceedings of AI-2006, the Twenty-sixth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 11-13 December, 2006. Springer 2007, ISBN 978-1-84628-662-9 [contents] - 2006
- [j20]Shakil Ahmed, Frans Coenen, Paul H. Leng:
Tree-based partitioning of date for association rule mining. Knowl. Inf. Syst. 10(3): 315-331 (2006) - [j19]Brian Craker, Frans Coenen:
The Knowledge Bazaar. Knowl. Based Syst. 19(5): 341-347 (2006) - [j18]Frans Coenen, Paul H. Leng:
Partitioning strategies for distributed association rule mining. Knowl. Eng. Rev. 21(1): 25-47 (2006) - [c32]Yanbo J. Wang, Frans Coenen, Paul H. Leng, Robert Sanderson:
Text Classification using Language-independent Pre-processing. SGAI Conf. 2006: 413-417 - [e4]Max Bramer, Frans Coenen, Tony Allen:
Research and Development in Intelligent Systems XXII, Proceedings of AI-2005, the Twenty-fifth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 12-14 December 2005. Springer 2006, ISBN 978-1-84628-225-6 [contents] - 2005
- [c31]Frans Coenen, Paul H. Leng:
Obtaining Best Parameter Values for Accurate Classification. ICDM 2005: 597-600 - [c30]Frans Coenen, Paul H. Leng, Lu Zhang:
Threshold Tuning for Improved Classification Association Rule Mining. PAKDD 2005: 216-225 - [c29]Brian Craker, Frans Coenen:
The Knowledge Bazaar. SGAI Conf. (Applications) 2005: 37-49 - [c28]Frans Coenen, Paul H. Leng, Aris Pagourtzis, Wojciech Rytter, Dora Souliou:
Improved Methods for Extracting Frequent Itemsets from Interim-Support Trees. SGAI Conf. 2005: 263-276 - [e3]Max Bramer, Frans Coenen, Tony Allen:
Research and Development in Intelligent Systems XXI, Proceedings of AI-2004, the Twenty-fourth SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Queens' College, Cambridge, UK, 13-15 December 2004. Springer 2005, ISBN 1-85233-907-1 [contents] - 2004
- [j17]Frans Coenen, Graham Goulbourne, Paul H. Leng:
Tree Structures for Mining Association Rules. Data Min. Knowl. Discov. 8(1): 25-51 (2004) - [j16]Frans Coenen, Paul H. Leng, Shakil Ahmed:
Data Structure for Association Rule Mining: T-Trees and P-Trees. IEEE Trans. Knowl. Data Eng. 16(6): 774-778 (2004) - [c27]Shakil Ahmed, Frans Coenen, Paul H. Leng:
A Tree Partitioning Method for Memory Management in Association Rule Mining. DaWaK 2004: 331-340 - [c26]Frans Coenen, Paul H. Leng:
An Evaluation of Approaches to Classification Rule Selection. ICDM 2004: 359-362 - [e2]Frans Coenen, Alun D. Preece, Ann Macintosh:
Research and Development in Intelligent Systems XX, Proceedings of AI2003, the Twenty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence, Cambridge, UK, 15-17 December, 2003. Springer 2004, ISBN 978-1-85233-780-3 [contents] - 2003
- [j15]Lu Zhang, Frans Coenen, Paul H. Leng:
Setting attribute weights for k-NN based binary classification via quadratic programming. Intell. Data Anal. 7(5): 427-441 (2003) - [c25]Frans Coenen, Paul H. Leng, Shakil Ahmed:
T-Trees, Vertical Partitioning and Distributed Association Rule Mining. ICDM 2003: 513-516 - [c24]Shakil Ahmed, Frans Coenen, Paul H. Leng:
Strategies for Partitioning Data in Association Rule Mining. SGAI Conf. 2003: 127-139 - [c23]Lu Zhang, Frans Coenen, Paul H. Leng:
Using Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality. SGAI Conf. (Applications) 2003: 137-151 - 2002
- [j14]Lu Zhang, Frans Coenen, Paul H. Leng:
Formalising optimal feature weight setting in case based diagnosis as linear programming problems. Knowl. Based Syst. 15(7): 391-398 (2002) - [j13]Frans Coenen:
5th European conference on principles of knowledge discovery in databases. Knowl. Eng. Rev. 17(2): 197-203 (2002) - [c22]Lu Zhang, Frans Coenen, Paul H. Leng:
An Attribute Weight Setting Method for k-NN Based Binary Classification using Quadratic Programming. ECAI 2002: 325-329 - [c21]Lu Zhang, Frans Coenen, Paul H. Leng:
An Experimental Study of Increasing Diversity for Case-Based Diagnosis. ECCBR 2002: 448-459 - [c20]Frans Coenen, Paul H. Leng:
Finding Association Rules with Some Very Frequent Attributes. PKDD 2002: 99-111 - 2001
- [j12]Frans Coenen, Barry Eaglestone, Mick J. Ridley:
Verification, validation, and integrity issues in expert and database systems: Two perspectives. Int. J. Intell. Syst. 16(3): 425-447 (2001) - [c19]Weidong Zhang, Frans Coenen, Paul H. Leng:
An Architecture For Web-Based Post-Sales Service an a Flexible Manufacturing Environment. I3E 2001: 407-416 - [c18]Frans Coenen, Graham Goulbourne, Paul H. Leng:
Computing Association Rules Using Partial Totals. PKDD 2001: 54-66 - 2000
- [j11]Graham Goulbourne, Frans Coenen, Paul H. Leng:
Algorithms for computing association rules using a partial-support tree. Knowl. Based Syst. 13(2-3): 141-149 (2000) - [j10]Frans Coenen, Trevor J. M. Bench-Capon, Robin Boswell, Juliette Dibie-Barthélemy, Barry Eaglestone, Rik Gerrits, Éric Grégoire, Antoni Ligeza, Luis M. Laita, Mieczyslaw L. Owoc, Florence Sellini, Silvie Spreeuwenberg, Jan Vanthienen, Anca I. Vermesan, Nirmalie Wiratunga:
Validation and verification of knowledge-based systems: report on EUROVAV99. Knowl. Eng. Rev. 15(2): 187-196 (2000) - [j9]Frans Coenen:
Tesseral spatio-temporal reasoning for multi-dimensional data. Pattern Recognit. 33(1): 9-23 (2000) - [c17]Trevor J. M. Bench-Capon, Frans Coenen, Paul H. Leng:
An Experiment in Discovering Association Rules in the Legal Domain. DEXA Workshop 2000: 1056-1060
1990 – 1999
- 1999
- [j8]Trevor J. M. Bench-Capon, Donatella Castelli, Frans Coenen, Laura Devendeville-Brisoux, Barry Eaglestone, Nick J. Fiddian, W. Alex Gray, Antoni Ligeza, Anca I. Vermesan:
Report on the 1st International Workshop on Validation, Verification and Integrity Issues of Expert and Database Systems. Inf. Res. 4(3) (1999) - [c16]Frans Coenen, Barry Eaglestone, Mick J. Ridley:
Verification, Validation and Integrity in Knowledge and Database Systems: Future Directions. EUROVAV 1999: 297-312 - [c15]Apostolos Antonacopoulos, Frans Coenen:
Region Description and Comparative Analysis using a Tesseral Representation. ICDAR 1999: 193-196 - [e1]Anca I. Vermesan, Frans Coenen:
Validation and Verification of Knowledge Based Systems - Theory, Tools and Practice, Collected papers from EUROVAV '99, 5th European Symposium on Validation and Verification of Knowledge Based Systems,June 9-11, 199, Oslo, Norway. Kluwer 1999, ISBN 0-7923-8645-0 [contents] - 1998
- [j7]Frans Coenen, Bridget Beattie, Michael J. R. Shave, Trevor J. M. Bench-Capon, B. M. Diaz:
Spatial Reasoning Using the Quad Tesseral Representation. Artif. Intell. Rev. 12(4): 321-343 (1998) - [c14]Frans Coenen:
Rulebase Checking Using a Spatial Representation. DEXA 1998: 166-175 - [c13]Graham Goulbourne, Frans Coenen, Paul H. Leng:
KD in FM: Knowledge Discovery in Facilities Management Databases. DEXA 1998: 806-815 - [c12]Frans Coenen:
Verification and Validation Issues in Expert and Database Systems: The Expert Systems Perspective. DEXA Workshop 1998: 16-21 - [c11]Frans Coenen, Bridget Beattie, Trevor J. M. Bench-Capon, B. M. Diaz, Michael J. R. Shave:
Spatio-temporal Reasoning Using a Multi-dimensional Tesseral Representation. ECAI 1998: 140-144 - 1997
- [c10]Frans Coenen, Bridget Beattie, Trevor J. M. Bench-Capon, B. M. Diaz, Michael J. R. Shave:
A Tesseral Approach to n-Dimensional Spatial Reasoning. DEXA 1997: 633-642 - [c9]Frans Coenen, Paul E. Dunne:
The Verification and Validation of Rulebases Using a Binary Encoded Incidence Matrix Technique. EUROVAV 1997: 43-54 - 1996
- [j6]Frans Coenen, Bridget Beattie, Bernard M. Diaz, Trevor J. M. Bench-Capon, Michael J. R. Shave:
Temporal reasoning using tesseral addressing: towards an intelligent environmental impact assessment system. Knowl. Based Syst. 9(5): 287-300 (1996) - [c8]Frans Coenen, Bridget Beattie, Trevor J. M. Bench-Capon, Michael J. R. Shave, B. M. Diaz:
An Ontology for Linear Spatial Reasoning. DEXA 1996: 718-727 - 1995
- [j5]Frans Coenen:
Advanced binary encoded matrix representation for rule base verification. Knowl. Based Syst. 8(4): 201-210 (1995) - [c7]Frans Coenen, Ian Finch, Michael J. R. Shave, Trevor J. M. Bench-Capon:
Developing Distributed Database Applications Using TSL. DEXA 1995: 58-67 - [c6]Bridget Beattie, Frans Coenen, Trevor J. M. Bench-Capon, B. M. Diaz, Michael J. R. Shave:
Spatial Reasoning for GIS Using a Tesseral Data Representation. DEXA 1995: 207-216 - 1993
- [j4]Trevor J. M. Bench-Capon, Frans Coenen, Hyacinth S. Nwana, Ray Paton, Michael J. R. Shave:
Two Aspects of the Validation and Verification of Knowledge-Based Systems. IEEE Expert 8(3): 76-81 (1993) - [c5]Frans Coenen, Trevor J. M. Bench-Capon, Peter Smeaton:
Representing Visual Conditions in a Legal knowledge Based System. ICAIL 1993: 264-271 - 1992
- [j3]Trevor J. M. Bench-Capon, Frans Coenen:
Isomorphism and legal knowledge based systems. Artif. Intell. Law 1(1): 65-86 (1992) - [j2]Trevor J. M. Bench-Capon, Frans Coenen:
The maintenance of legal knowledge based systems. Artif. Intell. Rev. 6(2): 129-143 (1992) - [c4]Frans Coenen, Trevor J. M. Bench-Capon:
Building Knowledge Based Systems for Maintainability. DEXA 1992: 415-420 - [c3]Frans Coenen, Steve Fawcett, Peter Smeaton, Trevor J. M. Bench-Capon:
Electronic Chart Representation and Interaction. DEXA 1992: 543 - 1991
- [j1]Frans Coenen, Peter Smeaton:
Rule-based algorithms for geographic constraints in a marine knowledge-based system. Knowl. Based Syst. 4(3): 157-164 (1991) - [c2]Frans Coenen, Trevor J. M. Bench-Capon:
A Graphical Interactive Tool for KBS Maintenance. DEXA 1991: 166-171 - [c1]Trevor J. M. Bench-Capon, Frans Coenen:
Two Aspects of the Validation and Verification of Knowledge Based Systems. EUROVAV 1991: 125-132
Coauthor Index
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