Frans Coenen

Orcid: 0000-0003-1026-6649

Affiliations:
  • University of Liverpool, UK


According to our database1, Frans Coenen authored at least 317 papers between 1991 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
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., 2024

Editorial for Special Issue on "Expert decision making for data analytics with applications".
Appl. Soft Comput., 2024

Translating Simulation Images to X-Ray Images via Multi-scale Semantic Matching.
Proceedings of the Data Engineering in Medical Imaging - Second MICCAI Workshop, 2024

Predicting Post Myocardial Infarction Complication: A Study Using Dual-Modality and Imbalanced Flow Cytometry Data.
Proceedings of the 16th International Joint Conference on Knowledge Discovery, 2024

2023
Deep ensemble learning for high-dimensional subsurface fluid flow modeling.
Eng. Appl. Artif. Intell., November, 2023

Social media sentiment analysis and opinion mining in public security: Taxonomy, trend analysis, issues and future directions.
J. King Saud Univ. Comput. Inf. Sci., October, 2023

Triple-kernel gated attention-based multiple instance learning with contrastive learning for medical image analysis.
Appl. Intell., September, 2023

Sleep posture one-shot learning framework based on extremity joint kinematics: In-silico and in-vivo case studies.
Inf. Fusion, July, 2023

Retrieval-based language model adaptation for handwritten Chinese text recognition.
Int. J. Document Anal. Recognit., June, 2023

From deterministic to stochastic: an interpretable stochastic model-free reinforcement learning framework for portfolio optimization.
Appl. Intell., June, 2023

Fourier Neural Operator for Fluid Flow in Small-Shape 2D Simulated Porous Media Dataset.
Algorithms, January, 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.
J. Comput. Inf. Sci. Eng., 2023

KIDS: kinematics-based (in)activity detection and segmentation in a sleep case study.
CoRR, 2023

PPNNBP: A Third Party Privacy-Preserving Neural Network With Back-Propagation Learning.
IEEE Access, 2023

A Robust Framework of Chromosome Straightening With Vit-Patch Gan.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
A Novel 3D Unsupervised Domain Adaptation Framework for Cross-Modality Medical Image Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Zero-Shot Text Classification via Knowledge Graph Embedding for Social Media Data.
IEEE Internet Things J., 2022

CNN-based Classification Framework for Lung Tissues with Auxiliary Information.
CoRR, 2022

Sleep Posture One-Shot Learning Framework Using Kinematic Data Augmentation: In-Silico and In-Vivo Case Studies.
CoRR, 2022

Data Augmentation for Pathology Prioritisation: An Improved LSTM-Based Approach.
Proceedings of the Artificial Intelligence XXXIX, 2022

Query Resolution of Literature Knowledge Graphs Using Hybrid Document Embeddings.
Proceedings of the Artificial Intelligence XXXIX, 2022

Scanned ECG Arrhythmia Classification Using a Pre-trained Convolutional Neural Network as a Feature Extractor.
Proceedings of the Artificial Intelligence XXXIX, 2022

Bilateral-ViT For Robust Fovea Localization.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Electrocardiogram Two-Dimensional Motifs: A Study Directed at Cardio Vascular Disease Classification.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2022

Two-dimensional Motif Extraction from Images: A Study using an Electrocardiogram.
Proceedings of the 14th International Joint Conference on Knowledge Discovery, 2022

Pathology Data Prioritisation: A Study Using Multi-variate Time Series.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2022

2021
Automated Social Text Annotation With Joint Multilabel Attention Networks.
IEEE Trans. Neural Networks Learn. Syst., 2021

Modelling and Prediction.
J. Data Intell., 2021

A survey on presentation attack detection for automatic speaker verification systems: State-of-the-art, taxonomy, issues and future direction.
Multim. Tools Appl., 2021

Multi-modal generative adversarial networks for traffic event detection in smart cities.
Expert Syst. Appl., 2021

Secure third-party data clustering using SecureCL, Φ-data and multi-user order preserving encryption.
Expert Syst. J. Knowl. Eng., 2021

MetaTX: deciphering the distribution of mRNA-related features in the presence of isoform ambiguity, with applications in epitranscriptome analysis.
Bioinform., 2021

Weakly supervised learning of RNA modifications from low-resolution epitranscriptome data.
Bioinform., 2021

Sequential Association Rule Mining Revisited: A Study Directed at Relational Pattern Mining for Multi-morbidity.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Ranking Pathology Data in the Absence of a Ground Truth.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Addressing the Challenge of Data Heterogeneity Using a Homogeneous Feature Vector Representation: A Study Using Time Series and Cardiovascular Disease Classification.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Capturing Expert Knowledge for Building Enterprise SME Knowledge Graphs.
Proceedings of the K-CAP '21: Knowledge Capture Conference, 2021

Event-based Pathology Data Prioritisation: A Study using Multi-variate Time Series Classification.
Proceedings of the 13th International Joint Conference on Knowledge Discovery, 2021

Pathology Data Prioritisation: A Study of Using Multi-variate Time Series Without a Ground Truth.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2021

Forecasting the UN Sustainable Development Goals.
Proceedings of the Deep Learning Theory and Applications, 2021

Sustainable Development Goals Monitoring and Forecasting using Time Series Analysis.
Proceedings of the 2nd International Conference on Deep Learning Theory and Applications, 2021

Document Ranking for Curated Document Databases Using BERT and Knowledge Graph Embeddings: Introducing GRAB-Rank.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

Motif Based Feature Vectors: Towards a Homogeneous Data Representation for Cardiovascular Diseases Classification.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2021

Motif-based Classification using Enhanced Sub-Sequence-Based Dynamic Time Warping.
Proceedings of the 10th International Conference on Data Science, 2021

A Novel Application of Image-to-Image Translation: Chromosome Straightening Framework by Learning from a Single Image.
Proceedings of the 14th International Congress on Image and Signal Processing, 2021

2020
Knowledge base enrichment by relation learning from social tagging data.
Inf. Sci., 2020

A Cryptographic Ensemble for secure third party data analysis: Collaborative data clustering without data owner participation.
Data Knowl. Eng., 2020

Contextualised Graph Attention for Improved Relation Extraction.
CoRR, 2020

Multi-modal Adversarial Training for Crisis-related Data Classification on Social Media.
Proceedings of the IEEE International Conference on Smart Computing, 2020

Maintaining Curated Document Databases Using a Learning to Rank Model: The ORRCA Experience.
Proceedings of the Artificial Intelligence XXXVII, 2020

In-Bed Human Pose Classification Using Sparse Inertial Signals.
Proceedings of the Artificial Intelligence XXXVII, 2020

Candidates Reduction and Enhanced Sub-Sequence-Based Dynamic Time Warping: A Hybrid Approach.
Proceedings of the Artificial Intelligence XXXVII, 2020

Do not let the history haunt you: Mitigating Compounding Errors in Conversational Question Answering.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Adversarial Domain Adaptation for Crisis Data Classification on Social Media.
Proceedings of the 2020 International Conferences on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2020

Efficient Distributed MST Based Clustering for Recommender Systems.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

Experiments in Non-Personalized Future Blood Glucose Level Prediction.
Proceedings of the 5th International Workshop on Knowledge Discovery in Healthcare Data co-located with 24th European Conference on Artificial Intelligence, 2020

Open Information Extraction for Knowledge Graph Construction.
Proceedings of the Database and Expert Systems Applications, 2020

Sustainable Development Goal Relational Modelling: Introducing the SDG-CAP Methodology.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2020

Graph Convolution over Multiple Dependency Sub-graphs for Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
Particle swarm Optimized Density-based Clustering and Classification: Supervised and unsupervised learning approaches.
Swarm Evol. Comput., 2019

Effective Sub-Sequence-Based Dynamic Time Warping.
Proceedings of the Artificial Intelligence XXXVI, 2019

Motif Discovery in Long Time Series: Classifying Phonocardiograms.
Proceedings of the Artificial Intelligence XXXVI, 2019

Evaluating Co-reference Chains Based Conversation History in Conversational Question Answering.
Proceedings of the Computational Linguistics, 2019

Joint Multi-Label Attention Networks for Social Text Annotation.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Long Short-Term Memory-based Multi-Period Price Prediction for Portfolio Management.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

Combining Textual and Visual Information for Typed and Handwritten Text Separation in Legal Documents.
Proceedings of the Legal Knowledge and Information Systems, 2019

Feature Visualisation of Classification of Diabetic Retinopathy Using a Convolutional Neural Network.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Extracting Supporting Evidence from Medical Negligence Claim Texts.
Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019

Automated Bundle Pagination Using Machine Learning.
Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, 2019

Sub-Sequence-Based Dynamic Time Warping.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Sustainable Development Goal Attainment Prediction: A Hierarchical Framework using Time Series Modelling.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

From Semi-automated to Automated Methods of Ontology Learning from Twitter Data.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2019

Ontology Learning from Twitter Data.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Effective Frequent Motif Discovery for Long Time Series Classification: A Study using Phonocardiogram.
Proceedings of the 11th International Joint Conference on Knowledge Discovery, 2019

Combining Long Short Term Memory and Convolutional Neural Network for Cross-Sentence n-ary Relation Extraction.
Proceedings of the 1st Conference on Automated Knowledge Base Construction, 2019

Querying Encrypted Data in Graph Databases.
Proceedings of the Applied Computing to Support Industry: Innovation and Technology, 2019

2018
Iterative Keystroke Continuous Authentication: A Time Series Based Approach.
Künstliche Intell., 2018

A comparative study of pivot selection strategies for unsupervised cross-domain sentiment classification.
Knowl. Eng. Rev., 2018

Automatic Detection and Distinction of Retinal Vessel Bifurcations and Crossings in Colour Fundus Photography.
J. Imaging, 2018

Secure Third Party Data Clustering Using \varPhi Data: Multi-User Order Preserving Encryption and Super Secure Chain Distance Matrices (Best Technical Paper).
Proceedings of the Artificial Intelligence XXXV, 2018

Learning Relations from Social Tagging Data.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Segmenting Sound Waves to Support Phonocardiogram Analysis: The PCGseg Approach.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Multi-dimensional Banded Pattern Mining.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2018

A Dataset for Inter-Sentence Relation Extraction using Distant Supervision.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Efficient and Effective Case Reject-Accept Filtering: A Study Using Machine Learning.
Proceedings of the Legal Knowledge and Information Systems, 2018

Rules for Inducing Hierarchies from Social Tagging Data.
Proceedings of the Transforming Digital Worlds - 13th International Conference, 2018

Spectral Analysis of Keystroke Streams: Towards Effective Real-time Continuous User Authentication.
Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Querying Encrypted Graph Databases.
Proceedings of the 4th International Conference on Information Systems Security and Privacy, 2018

Secure Outsourced kNN Data Classification over Encrypted Data Using Secure Chain Distance Matrices.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2018

Data Clustering using Homomorphic Encryption and Secure Chain Distance Matrices.
Proceedings of the 10th International Joint Conference on Knowledge Discovery, 2018

Third Party Data Clustering Over Encrypted Data Without Data Owner Participation: Introducing the Encrypted Distance Matrix.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Traversal-aware Encryption Adjustment for Graph Databases.
Proceedings of the 7th International Conference on Data Science, 2018

A Re-evaluation of Intrusion Detection Accuracy: Alternative Evaluation Strategy.
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security, 2018

2017
Mining the information architecture of the WWW using automated website boundary detection.
Web Intell., 2017

A Directed Acyclic Graph (DAG) Ensemble Classification Model: An Alternative Architecture for Hierarchical Classification.
Int. J. Data Warehous. Min., 2017

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., 2017

FCNN: Fourier Convolutional Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

TSP: Learning Task-Specific Pivots for Unsupervised Domain Adaptation.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Effect of Data Imbalance on Unsupervised Domain Adaptation of Part-of-Speech Tagging and Pivot Selection Strategies.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Frame-Based Semantic Patterns for Relation Extraction.
Proceedings of the Computational Linguistics, 2017

Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography.
Proceedings of the Medical Image Understanding and Analysis - 21st Annual Conference, 2017

A Prediction Model Based Approach to Open Space Steganography Detection in HTML Webpages.
Proceedings of the Digital Forensics and Watermarking - 16th International Workshop, 2017

Attributes-oriented clothing description and retrieval with multi-task convolutional neural network.
Proceedings of the 13th International Conference on Natural Computation, 2017

Multilingual and skew license plate detection based on extremal regions.
Proceedings of the 13th International Conference on Natural Computation, 2017

Attribute Permutation Steganography Detection using Attribute Position Changes Count.
Proceedings of the 3rd International Conference on Information Systems Security and Privacy, 2017

Spectral Keyboard Streams: Towards Effective and Continuous Authentication.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

CLIEL: context-based information extraction from commercial law documents.
Proceedings of the 16th edition of the International Conference on Artificial Intelligence and Law, 2017

Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

User-to-User Recommendation using the Concept of Movement Patterns: A Study using a Dating Social Network.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Behavioural Biometric Continuous User Authentication Using Multivariate Keystroke Streams in the Spectral Domain.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

K-Means Clustering Using Homomorphic Encryption and an Updatable Distance Matrix: Secure Third Party Data Clustering with Limited Data Owner Interaction.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Classifier-Based Pattern Selection Approach for Relation Instance Extraction.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2017

On the mining and usage of Movement Patterns in large traffic networks.
Proceedings of the 2017 IEEE International Conference on Big Data and Smart Computing, 2017

2016
Banded Pattern Mining Algorithms in Multi-dimensional Zero-One Data.
Trans. Large Scale Data Knowl. Centered Syst., 2016

The application of social network mining to cattle movement analysis: introducing the predictive trend mining framework.
Soc. Netw. Anal. Min., 2016

Mining frequent itemsets using the N-list and subsume concepts.
Int. J. Mach. Learn. Cybern., 2016

Face Occlusion Detection Using Deep Convolutional Neural Networks.
Int. J. Pattern Recognit. Artif. Intell., 2016

Video-Based Classification of Driving Behavior Using a Hierarchical Classification System with Multiple Features.
Int. J. Pattern Recognit. Artif. Intell., 2016

Driving posture recognition by convolutional neural networks.
IET Comput. Vis., 2016

Towards Keystroke Continuous Authentication Using Time Series Analytics.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Mining Frequent Movement Patterns in Large Networks: A Parallel Approach Using Shapes.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

3-D Volume of Interest Based Image Classification.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Early Detection of Osteoarthritis Using Local Binary Patterns: A Study Directed at Human Joint Imagery.
Proceedings of the PRICAI 2016: Trends in Artificial Intelligence, 2016

Convolutional Neural Networks for Diabetic Retinopathy.
Proceedings of the 20th Conference on Medical Image Understanding and Analysis, 2016

Extracting Movement Patterns from Video Data to Drive Multi-Agent Based Simulations.
Proceedings of the Multi-Agent Based Simulation XVII - International Workshop, 2016

Traffic sign recognition with convolutional neural network based on max pooling positions.
Proceedings of the 12th International Conference on Natural Computation, 2016

Road surface traffic sign detection with hybrid region proposal and fast R-CNN.
Proceedings of the 12th International Conference on Natural Computation, 2016

Traffic sign recognition using visual attribute learning and convolutional neural network.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2016

A Statistical Approach to the Detection of HTML Attribute Permutation Steganography.
Proceedings of the 2nd International Conference on Information Systems Security and Privacy, 2016

Image Representation for Image Mining: A Study Focusing on Mining Satellite Images for Census Data Collection.
Proceedings of the Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2016

Mining Satellite Images for Census Data Collection: A Study Using the Google Static Maps Service.
Proceedings of the 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2016) - Volume 1: KDIR, Porto - Portugal, November 9, 2016

Keyboard Usage Authentication Using Time Series Analysis.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2016

nDrites: Enabling Laboratory Resource Multi-agent Systems.
Proceedings of the Engineering Multi-Agent Systems - 4th International Workshop, 2016

2015
Predicting "springback" using 3D surface representation techniques: A case study in sheet metal forming.
Expert Syst. Appl., 2015

Erratum to: One-class kernel subspace ensemble for medical image classification.
EURASIP J. Adv. Signal Process., 2015

Collaborating Low Cost Micro Aerial Vehicles: A Demonstration.
Proceedings of the Towards Autonomous Robotic Systems - 16th Annual Conference, 2015

Towards an Intuitionistic Fuzzy Agglomerative Hierarchical Clustering Algorithm for Music Recommendation in Folksonomy.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Multi Agent Based Simulation Using Movement Patterns Mined from Video Data.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

A Directed Acyclic Graph Based Approach to Multi-Class Ensemble Classification.
Proceedings of the Research and Development in Intelligent Systems XXXII, 2015

Visualisation of Trend Pattern Migrations in Social Networks.
Proceedings of the Advances in Visual Informatics, 2015

Scalable distributed collaborative tracking and mapping with Micro Aerial Vehicles.
Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Robust chinese traffic sign detection and recognition with deep convolutional neural network.
Proceedings of the 11th International Conference on Natural Computation, 2015

Face occlusion detection based on multi-task convolution neural network.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Traffic sign detection by template matching based on multi-level chain code histogram.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Data Stream Mining with Limited Validation Opportunity: Towards Instrument Failure Prediction.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Finding Banded Patterns in Data: The Banded Pattern Mining Algorithm.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2015

Finding banded patterns in big data using sampling.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

2014
Trend mining in social networks: from trend identification to visualization.
Expert Syst. J. Knowl. Eng., 2014

One-class kernel subspace ensemble for medical image classification.
EURASIP J. Adv. Signal Process., 2014

A Dynamic Approach to the Website Boundary Detection Problem Using Random Walks.
Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

Multi-agent Environment Exploration with AR.Drones.
Proceedings of the Advances in Autonomous Robotics Systems - 15th Annual Conference, 2014

A Framework for Brand Reputation Mining and Visualisation.
Proceedings of the Research and Development in Intelligent Systems XXXI, 2014

Content-Based Readability Assessment: A Study Using A Syllabic Alphabetic Language (Thai).
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

A Multi-path Strategy for Hierarchical Ensemble Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

Dictionary Learning-Based Volumetric Image Classification for the Diagnosis of Age-Related Macular Degeneration.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

A Novel Approach for Identifying Banded Patterns in Zero-One Data Using Column and Row Banding Scores.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2014

3-D MRI Brain Scan Classification of Epilepsy versus Non-Epilepsy.
Proceedings of the Medical Image Understanding and Analysis, 2014

Classification of 3D Surface Data Using the Concept of Vertex Unique Labelled Subgraphs.
Proceedings of the 2014 IEEE International Conference on Data Mining Workshops, 2014

3-D MRI Brain Scan Classification Using A Point Series Based Representation.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

A Scalable Algorithm for Banded Pattern Mining in Multi-dimensional Zero-One Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 2014

Mining Movement Patterns from Video Data to Inform Multi-agent Based Simulation.
Proceedings of the Agents and Data Mining Interaction - 10th International Workshop, 2014

2013
Breast cancer diagnosis from biopsy images with highly reliable random subspace classifier ensembles.
Mach. Vis. Appl., 2013

A survey of frequent subgraph mining algorithms.
Knowl. Eng. Rev., 2013

A new method for mining Frequent Weighted Itemsets based on WIT-trees.
Expert Syst. Appl., 2013

A Hybrid Approach for Mining Frequent Itemsets.
Proceedings of the IEEE International Conference on Systems, 2013

An Efficient Algorithm for Mining Erasable Itemsets Using the Difference of NC-Sets.
Proceedings of the IEEE International Conference on Systems, 2013

Hierarchical Single Label Classification: An Alternative Approach.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

A Multiagent Based Framework for the Simulation of Mammalian Behaviour.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Vertex Unique Labelled Subgraph Mining.
Proceedings of the Research and Development in Intelligent Systems XXX, 2013

Satellite Image Mining for Census Collection: A Comparative Study with Respect to the Ethiopian Hinterland.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

Feature Representation for Customer Attrition Risk Prediction in Retail Banking.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2013

Extracting debate graphs from parliamentary transcripts: a study directed at UK house of commons debates.
Proceedings of the International Conference on Artificial Intelligence and Law, 2013

Minimal Vertex Unique Labelled Subgraph Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Population Estimation Mining Using Satellite Imagery.
Proceedings of the Data Warehousing and Knowledge Discovery, 2013

Classification of volumetric retinal images using overlapping decomposition and tree analysis.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013

3-D MRI Brain Scan Feature Classification Using an Oct-Tree Representation.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Generating Domain-Specific Sentiment Lexicons for Opinion Mining.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Predicting Features in Complex 3D Surfaces Using a Point Series Representation: A Case Study in Sheet Metal Forming.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

A Comparative Study of Three Image Representations for Population Estimation Mining Using Remote Sensing Imagery.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Hierarchical Classification for Solving Multi-class Problems: A New Approach Using Naive Bayesian Classification.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

Vertex Unique Labelled Subgraph Mining for Vertex Label Classification.
Proceedings of the Advanced Data Mining and Applications, 9th International Conference, 2013

2012
Finding "interesting" trends in social networks using frequent pattern mining and self organizing maps.
Knowl. Based Syst., 2012

Data mining techniques for the screening of age-related macular degeneration.
Knowl. Based Syst., 2012

PISA: A framework for multiagent classification using argumentation.
Data Knowl. Eng., 2012

Multi-agent based classification using argumentation from experience.
Auton. Agents Multi Agent Syst., 2012

A framework for Multi-Agent Based Clustering.
Auton. Agents Multi Agent Syst., 2012

Questionnaire Free Text Summarisation Using Hierarchical Classification.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Identification of Correlations Between 3D Surfaces Using Data Mining Techniques: Predicting Springback in Sheet Metal Forming.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Towards The Collection of Census Data From Satellite Imagery Using Data Mining: A Study With Respect to the Ethiopian Hinterland.
Proceedings of the Research and Development in Intelligent Systems XXIX, 2012

Identification and Visualisation of Pattern Migrations in Big Network Data.
Proceedings of the PRICAI 2012: Trends in Artificial Intelligence, 2012

Finding Correlations between 3-D Surfaces: A Study in Asymmetric Incremental Sheet Forming.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

A Semi-Automated Approach to Building Text Summarisation Classifiers.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

A Hybrid LR/DT Classification Approach for Customer Attrition Risk Prediction in Retail Banking.
Proceedings of the Advances in Data Mining. 12th Industrial Conference, 2012

Highly reliable breast cancer diagnosis with cascaded ensemble classifiers.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

2011
Data mining: past, present and future.
Knowl. Eng. Rev., 2011

Finding Associations in Composite Data Sets: The CFARM Algorithm.
Int. J. Data Warehous. Min., 2011

Arguing from experience using multiple groups of agents.
Argument Comput., 2011

Trend Mining and Visualisation in Social Networks.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Using Negation and Phrases in Inducing Rules for Text Classification.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Web-Site Boundary Detection Using Incremental RandomWalk Clustering.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Towards Large-Scale Multi-Agent Based Rodent Simulation: The "Mice In A Box" Scenario.
Proceedings of the Research and Development in Intelligent Systems XXVIII, 2011

Image Classification for Age-related Macular Degeneration Screening Using Hierarchical Image Decompositions and Graph Mining.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

Multi-agent Based Classification Using Argumentation from Experience.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

An Investigation Concerning the Generation of Text Summarisation Classifiers Using Secondary Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Rule Learning with Negation for Text Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Incremental Web-Site Boundary Detection Using Random Walks.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2011

Time Series Case Based Reasoning for Image Categorisation.
Proceedings of the Case-Based Reasoning Research and Development, 2011

A Multi-agent Based Approach to Clustering: Harnessing the Power of Agents.
Proceedings of the Agents and Data Mining Interaction, 2011

2010
A sliding windows based dual support framework for discovering emerging trends from temporal data.
Knowl. Based Syst., 2010

Text classification using graph mining-based feature extraction.
Knowl. Based Syst., 2010

Corpus callosum MR image classification.
Knowl. Based Syst., 2010

SOMA: A Proposed Framework for Trend Mining in Large UK Diabetic Retinopathy Temporal Databases.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Social Network Trend Analysis Using Frequent Pattern Mining and Self Organizing Maps.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Retinal Image Classification for the Screening of Age-Related Macular Degeneration.
Proceedings of the Research and Development in Intelligent Systems XXVII, 2010

Hybrid DIAAF/RS: Statistical Textual Feature Selection for Language-Independent Text Classification.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Finding Temporal Patterns in Noisy Longitudinal Data: A Study in Diabetic Retinopathy.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Trend Mining in Social Networks: A Study Using a Large Cattle Movement Database.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Image Classification Using Histograms and Time Series Analysis: A Study of Age-Related Macular Degeneration Screening in Retinal Image Data.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Multi-Agent Based Clustering: Towards Generic Multi-Agent Data Mining.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Web-Site Boundary Detection.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2010

Retinal image classification using a histogram based approach.
Proceedings of the International Joint Conference on Neural Networks, 2010

Region of Interest Based Image Classification using time series analysis.
Proceedings of the International Joint Conference on Neural Networks, 2010

Detecting Temporal Pattern and Cluster Changes in Social Networks: A Study Focusing UK Cattle Movement Database.
Proceedings of the Intelligent Information Processing V, 2010

Rule Learning with Negation: Issues Regarding Effectiveness.
Proceedings of the Intelligent Information Processing V, 2010

Frequent Sub-graph Mining on Edge Weighted Graphs.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

Region of Interest Based Image Categorization.
Proceedings of the Data Warehousing and Knowledge Discovery, 12th International Conference, 2010

Arguing in Groups.
Proceedings of the Computational Models of Argument: Proceedings of COMMA 2010, 2010

Clustering in a Multi-Agent Data Mining Environment.
Proceedings of the Agents and Data Mining Interaction, 2010

Frequent Pattern Trend Analysis in Social Networks.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Finding Frequent Subgraphs in Longitudinal Social Network Data Using a Weighted Graph Mining Approach.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Classification Inductive Rule Learning with Negated Features.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

Best Clustering Configuration Metrics: Towards Multiagent Based Clustering.
Proceedings of the Advanced Data Mining and Applications - 6th International Conference, 2010

2009
Improved methods for extracting frequent itemsets from interim-support trees.
Softw. Pract. Exp., 2009

EMADS: An extendible multi-agent data miner.
Knowl. Based Syst., 2009

Analysis of Mesenchymal Stem Cell Differentiation <i>in vitro</i> Using Classification Association Rule Mining.
J. Bioinform. Comput. Biol., 2009

PADUA: a protocol for argumentation dialogue using association rules.
Artif. Intell. Law, 2009

Application of Classification Association Rule Mining for Mammalian Mesenchymal Stem Cell Differentiation.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

Integrating Data Mining and Agent Based Modeling and Simulation.
Proceedings of the Advances in Data Mining. Applications and Theoretical Aspects, 2009

A Generic and Extendible Multi-Agent Data Mining Framework.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Arguing from Experience to Classifying Noisy Data.
Proceedings of the Data Warehousing and Knowledge Discovery, 11th International Conference, 2009

Multi-Party Argument from Experience.
Proceedings of the Argumentation in Multi-Agent Systems, 6th International Workshop, 2009

Agent-Enriched Data Mining Using an Extendable Framework.
Proceedings of the Agents and Data Mining Interaction, 4th International Workshop, 2009

A Hybrid Statistical Data Pre-processing Approach for Language-Independent Text Classification.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009

The EMADS Extendible Multi-Agent Data Mining Framework.
Proceedings of the Data Mining and Multi-agent Integration, 2009

Mining Allocating Patterns in Investment Portfolios.
Proceedings of the Database Technologies: Concepts, 2009

2008
Mining Efficiently Significant Classification Association Rules.
Proceedings of the Data Mining: Foundations and Practice, 2008

Hybrid Rule Ordering in Classification Association Rule Mining.
Trans. Mach. Learn. Data Min., 2008

PISA - Pooling Information from Several Agents: Multiplayer Argumentation from Experience.
Proceedings of the Research and Development in Intelligent Systems XXV, 2008

Graph-based Image Classification by Weighting Scheme.
Proceedings of the Applications and Innovations in Intelligent Systems XVI, 2008

A Framework for Mining Fuzzy Association Rules from Composite Items.
Proceedings of the New Frontiers in Applied Data Mining, 2008

Fuzzy Weighted Association Rule Mining with Weighted Support and Confidence Framework.
Proceedings of the New Frontiers in Applied Data Mining, 2008

Argument Based Moderation of Benefit Assessment.
Proceedings of the Legal Knowledge and Information Systems, 2008

Weighted Association Rule Mining from Binary and Fuzzy Data.
Proceedings of the Advances in Data Mining. Medical Applications, 2008

Mining Fuzzy Association Rules from Composite Items.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

Agent Based Frequent Set Meta Mining: Introducing EMADS.
Proceedings of the Artificial Intelligence in Theory and Practice II, 2008

Mining Allocating Patterns in One-Sum Weighted Items.
Proceedings of the Workshops Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

A Weighted Utility Framework for Mining Association Rules.
Proceedings of the EMS 2008, 2008

Document-Base Extraction for Single-Label Text Classification.
Proceedings of the Data Warehousing and Knowledge Discovery, 10th International Conference, 2008

Arguments from Experience: The PADUA Protocol.
Proceedings of the Computational Models of Argument: Proceedings of COMMA 2008, 2008

On Extraction of Nutritional Patterns (NPS) Using Fuzzy Association Rule Mining.
Proceedings of the First International Conference on Health Informatics, 2008

2007
The effect of threshold values on association rule based classification accuracy.
Data Knowl. Eng., 2007

Dynamic Rule Mining for Argumentation Based Systems.
Proceedings of the Research and Development in Intelligent Systems XXIV, 2007

Frequent Set Meta Mining: Towards Multi-Agent Data Mining.
Proceedings of the Research and Development in Intelligent Systems XXIV, 2007

A Novel Rule Ordering Approach in Classification Association Rule Mining.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

Statistical Identification of Key Phrases for Text Classification.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2007

A Novel Rule Weighting Approach in Classification Association Rule Mining.
Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

PADUA Protocol: Strategies and Tactics.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
Partitioning strategies for distributed association rule mining.
Knowl. Eng. Rev., 2006

The Knowledge Bazaar.
Knowl. Based Syst., 2006

Tree-based partitioning of date for association rule mining.
Knowl. Inf. Syst., 2006

Text Classification using Language-independent Pre-processing.
Proceedings of the Research and Development in Intelligent Systems XXIII, 2006

2005
Threshold Tuning for Improved Classification Association Rule Mining.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2005

Obtaining Best Parameter Values for Accurate Classification.
Proceedings of the 5th IEEE International Conference on Data Mining (ICDM 2005), 2005

2004
Data Structure for Association Rule Mining: T-Trees and P-Trees.
IEEE Trans. Knowl. Data Eng., 2004

Tree Structures for Mining Association Rules.
Data Min. Knowl. Discov., 2004

An Evaluation of Approaches to Classification Rule Selection.
Proceedings of the 4th IEEE International Conference on Data Mining (ICDM 2004), 2004

A Tree Partitioning Method for Memory Management in Association Rule Mining.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

2003
Setting attribute weights for k-NN based binary classification via quadratic programming.
Intell. Data Anal., 2003

Strategies for Partitioning Data in Association Rule Mining.
Proceedings of the Research and Development in Intelligent Systems XX, 2003

Using Domain Knowledge to Boost Case-Based Diagnosis: An Experimental Study in a Domain with Very Poor Data Quality.
Proceedings of the Applications and Innovations in Intelligent Systems XI, 2003

T-Trees, Vertical Partitioning and Distributed Association Rule Mining.
Proceedings of the 3rd IEEE International Conference on Data Mining (ICDM 2003), 2003

2002
5th European conference on principles of knowledge discovery in databases.
Knowl. Eng. Rev., 2002

Formalising optimal feature weight setting in case based diagnosis as linear programming problems.
Knowl. Based Syst., 2002

Finding Association Rules with Some Very Frequent Attributes.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

An Experimental Study of Increasing Diversity for Case-Based Diagnosis.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

An Attribute Weight Setting Method for k-NN Based Binary Classification using Quadratic Programming.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Verification, validation, and integrity issues in expert and database systems: Two perspectives.
Int. J. Intell. Syst., 2001

Computing Association Rules Using Partial Totals.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2001

An Architecture For Web-Based Post-Sales Service an a Flexible Manufacturing Environment.
Proceedings of the Towards The E-Society: E-Commerce, 2001

2000
Tesseral spatio-temporal reasoning for multi-dimensional data.
Pattern Recognit., 2000

Validation and verification of knowledge-based systems: report on EUROVAV99.
Knowl. Eng. Rev., 2000

Algorithms for computing association rules using a partial-support tree.
Knowl. Based Syst., 2000

An Experiment in Discovering Association Rules in the Legal Domain.
Proceedings of the 11th International Workshop on Database and Expert Systems Applications (DEXA'00), 2000

1999
Report on the 1st International Workshop on Validation, Verification and Integrity Issues of Expert and Database Systems.
Inf. Res., 1999

Region Description and Comparative Analysis using a Tesseral Representation.
Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999

Verification, Validation and Integrity in Knowledge and Database Systems: Future Directions.
Proceedings of the Validation and Verification of Knowledge Based Systems, 1999

1998
Spatial Reasoning Using the Quad Tesseral Representation.
Artif. Intell. Rev., 1998

Spatio-temporal Reasoning Using a Multi-dimensional Tesseral Representation.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Verification and Validation Issues in Expert and Database Systems: The Expert Systems Perspective.
Proceedings of the Ninth International Workshop on Database and Expert Systems Applications, 1998

KD in FM: Knowledge Discovery in Facilities Management Databases.
Proceedings of the Database and Expert Systems Applications, 9th International Conference, 1998

Rulebase Checking Using a Spatial Representation.
Proceedings of the Database and Expert Systems Applications, 9th International Conference, 1998

1997
The Verification and Validation of Rulebases Using a Binary Encoded Incidence Matrix Technique.
Proceedings of the Fourth European Symposium on the Validation and Verification of Knowledge-Based Systems, 1997

A Tesseral Approach to n-Dimensional Spatial Reasoning.
Proceedings of the Database and Expert Systems Applications, 8th International Conference, 1997

1996
Temporal reasoning using tesseral addressing: towards an intelligent environmental impact assessment system.
Knowl. Based Syst., 1996

An Ontology for Linear Spatial Reasoning.
Proceedings of the Database and Expert Systems Applications, 7th International Conference, 1996

1995
Advanced binary encoded matrix representation for rule base verification.
Knowl. Based Syst., 1995

Developing Distributed Database Applications Using TSL
Proceedings of the Database and Expert Systems Applications, 1995

Spatial Reasoning for GIS Using a Tesseral Data Representation
Proceedings of the Database and Expert Systems Applications, 1995

1993
Two Aspects of the Validation and Verification of Knowledge-Based Systems.
IEEE Expert, 1993

Representing Visual Conditions in a Legal knowledge Based System.
Proceedings of the Fourth International Conference on Artificial intelligence and Law, 1993

1992
The maintenance of legal knowledge based systems.
Artif. Intell. Rev., 1992

Isomorphism and legal knowledge based systems.
Artif. Intell. Law, 1992

Electronic Chart Representation and Interaction.
Proceedings of the International Conference on Database and Expert Systems Applications, 1992

Building Knowledge Based Systems for Maintainability.
Proceedings of the International Conference on Database and Expert Systems Applications, 1992

1991
Rule-based algorithms for geographic constraints in a marine knowledge-based system.
Knowl. Based Syst., 1991

Two Aspects of the Validation and Verification of Knowledge Based Systems.
Proceedings of the European Workshop on the Verification and Validation of Knowledge-Based Systems, 1991

A Graphical Interactive Tool for KBS Maintenance.
Proceedings of the Proceedings of the International Conference on Database and Expert Systems Applications, 1991


  Loading...