Padraig Cunningham

Orcid: 0000-0002-3499-0810

Affiliations:
  • University College Dublin, Ireland


According to our database1, Padraig Cunningham authored at least 228 papers between 1987 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Addressing Underestimation Bias in CBR Through Case-Base Maintenance.
Proceedings of the Case-Based Reasoning Research and Development, 2023

Towards Globalised Models for Exercise Classification using Inertial Measurement Units.
Proceedings of the 19th IEEE International Conference on Body Sensor Networks, 2023

Social Network Analysis of Irish Covid-19 Interactions on Telegram.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data.
Proceedings of the 31st Irish Conference on Artificial Intelligence and Cognitive Science, 2023

2022
Using Pareto simulated annealing to address algorithmic bias in machine learning.
Knowl. Eng. Rev., 2022

Detecting voids in 3D printing using melt pool time series data.
J. Intell. Manuf., 2022

k-Nearest Neighbour Classifiers - A Tutorial.
ACM Comput. Surv., 2022

An empirical evaluation of kernels for time series.
Artif. Intell. Rev., 2022

Feature Subset Selection for Detecting Fatigue in Runners Using Time Series Sensor Data.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Algorithmic Bias and Fairness in Case-Based Reasoning.
Proceedings of the Case-Based Reasoning Research and Development, 2022

Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021
Correlation Based Feature Subset Selection for Multivariate Time-Series Data.
CoRR, 2021

Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning.
CoRR, 2021

Feature Selection Tutorial with Python Examples.
CoRR, 2021

Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Algorithmic Factors Influencing Bias in Machine Learning.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression.
CoRR, 2020

An Evaluation of Classification Methods for 3D Printing Time-Series Data.
CoRR, 2020

Algorithmic Bias and Regularisation in Machine Learning.
CoRR, 2020

k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples).
CoRR, 2020

Underestimation Bias and Underfitting in Machine Learning.
Proceedings of the Trustworthy AI - Integrating Learning, Optimization and Reasoning, 2020

A Feature Selection Method for Multi-dimension Time-Series Data.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2020

Using Navigable Small Worlds to Speed Up Time-Series Classification.
Proceedings of The 28th Irish Conference on Artificial Intelligence and Cognitive Science, 2020

2019
Scoring Performance on the Y-Balance Test.
Proceedings of the Case-Based Reasoning Research and Development, 2019

2018
Marathon Race Planning: A Case-Based Reasoning Approach.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

An Analysis of Case Representations for Marathon Race Prediction and Planning.
Proceedings of the Case-Based Reasoning Research and Development, 2018

A Comparison of k-NN Methods for Time Series Classification and Regression.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

Kernel Methods for Time Series Classification and Regression.
Proceedings of the Proceedings for the 26th AIAI Irish Conference on Artificial Intelligence and Cognitive Science Trinity College Dublin, 2018

2017
A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best.
Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

Running with Cases: A CBR Approach to Running Your Best Marathon.
Proceedings of the Case-Based Reasoning Research and Development, 2017

2016
Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles.
J. Mach. Learn. Res., 2016

Subgraph Isomorphism in Temporal Networks.
CoRR, 2016

Indicators of Good Student Performance in Moodle Activity Data.
CoRR, 2016

Time Series Analysis of VLE Activity Data.
Proceedings of the 9th International Conference on Educational Data Mining, 2016

Detecting Attention Dominating Moments Across Media Types.
Proceedings of the First International Workshop on Recent Trends in News Information Retrieval co-located with 38th European Conference on Information Retrieval (ECIR 2016), 2016

Time Series Clustering of Moodle Activity Data.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

Dimensionality Reduction and Visualisation Tools for Voting Records.
Proceedings of the 24th Irish Conference on Artificial Intelligence and Cognitive Science, 2016

2015
The influence of network structures of Wikipedia discussion pages on the efficiency of WikiProjects.
Soc. Networks, 2015

Integration of multiple network views in Wikipedia.
Knowl. Inf. Syst., 2015

An analysis of the coherence of descriptors in topic modeling.
Expert Syst. Appl., 2015

TextLuas: Tracking and Visualizing Document and Term Clusters in Dynamic Text Data.
CoRR, 2015

Analyzing Discourse Communities with Distributional Semantic Models.
Proceedings of the ACM Web Science Conference, 2015

2014
Adaptive Representations for Tracking Breaking News on Twitter.
CoRR, 2014

Community detection: effective evaluation on large social networks.
J. Complex Networks, 2014

Linguistically Informed Tweet Categorization for Online Reputation Management.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

Identifying Over-represented Temporal Processes in Complex Networks.
Proceedings of the 2nd International Workshop on Dynamic Networks and Knowledge Discovery, 2014

A Latent Space Analysis of Editor Lifecycles in Wikipedia.
Proceedings of the Big Data Analytics in the Social and Ubiquitous Context, 2014

How Many Topics? Stability Analysis for Topic Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Exploring the Relationship between Membership Turnover and Productivity in Online Communities.
Proceedings of the Eighth International Conference on Weblogs and Social Media, 2014

The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Online social media in the Syria conflict: Encompassing the extremes and the in-betweens.
Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2014

2013
Characterizing ego-networks using motifs.
Netw. Sci., 2013

A temporal network analysis reveals the unprofitability of arbitrage in The Prosper Marketplace.
Expert Syst. Appl., 2013

Benchmarking community detection methods on social media data
CoRR, 2013

Measuring the Significance of the Geographic Flow of Music
CoRR, 2013

The Extreme Right Filter Bubble.
CoRR, 2013

Discovering Latent Patterns from the Analysis of User-Curated Movie Lists.
CoRR, 2013

TwitterCrowds: Techniques for Exploring Topic and Sentiment in Microblogging Data.
CoRR, 2013

Using tf-idf as an edge weighting scheme in user-object bipartite networks.
CoRR, 2013

Uncovering the wider structure of extreme right communities spanning popular online networks.
Proceedings of the Web Science 2013 (co-located with ECRC), 2013

Producing a unified graph representation from multiple social network views.
Proceedings of the Web Science 2013 (co-located with ECRC), 2013

Link prediction with social vector clocks.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Temporal subgraph isomorphism.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

Simmelian backbones: amplifying hidden homophily in Facebook networks.
Proceedings of the Advances in Social Networks Analysis and Mining 2013, 2013

2012
Identifying Topical Twitter Communities via User List Aggregation
CoRR, 2012

Assessing the Quality of Wikipedia Pages Using Edit Longevity and Contributor Centrality
CoRR, 2012

Identifying Discriminating Network Motifs in YouTube Spam
CoRR, 2012

An Assessment of Community Finding Algorithms for Community-Based Message Routing in DTNs.
Proceedings of the Wired/Wireless Internet Communication - 10th International Conference, 2012

Classifying Wikipedia articles using network motif counts and ratios.
Proceedings of the Eighth Annual International Symposium on Wikis and Open Collaboration, 2012

Aggregating content and network information to curate twitter user lists.
Proceedings of the 4th ACM RecSys workshop on Recommender systems and the social web, 2012

A system for twitter user list curation.
Proceedings of the Sixth ACM Conference on Recommender Systems, 2012

An Analysis of Interactions within and between Extreme Right Communities in Social Media.
Proceedings of the Ubiquitous Social Media Analysis, 2012

Network Analysis of Recurring YouTube Spam Campaigns.
Proceedings of the Sixth International Conference on Weblogs and Social Media, 2012

Using Storm to Perform Dynamic Egocentric Network Motif Analysis.
Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012

EgoNav: exploring networks through egocentric spatializations.
Proceedings of the International Working Conference on Advanced Visual Interfaces, 2012

The Geographic Flow of Music.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2012

2011
Supporting the Curation of Twitter User Lists
CoRR, 2011

Ensemble based system for whole-slide prostate cancer probability mapping using color texture features.
Comput. Medical Imaging Graph., 2011

Improved functional overview of protein complexes using inferred epistatic relationships.
BMC Syst. Biol., 2011

Mining Dense Structures to Uncover Anomalous Behaviour in Financial Network Data.
Proceedings of the Modeling and Mining Ubiquitous Social Media, 2011

Identifying Representative Textual Sources in Blog Networks.
Proceedings of the Fifth International Conference on Weblogs and Social Media, 2011

Using Hierarchical Community Structure to Improve Community-Based Message Routing.
Proceedings of the Social Mobile Web, 2011

Deriving Insights from National Happiness Indices.
Proceedings of the Data Mining Workshops (ICDMW), 2011

Characterizing Wikipedia pages using edit network motif profiles.
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, 2011

ThemeCrowds: multiresolution summaries of twitter usage.
Proceedings of the 3rd International CIKM Workshop on Search and Mining User-Generated Contents, 2011

2010
Combining cohort and UBM models in open set speaker detection.
Multim. Tools Appl., 2010

Partitioning large networks without breaking communities.
Knowl. Inf. Syst., 2010

Noise reduction for instance-based learning with a local maximal margin approach.
J. Intell. Inf. Syst., 2010

Relative status of journal and conference publications in computer science.
Commun. ACM, 2010

Missing value imputation for epistatic MAPs.
BMC Bioinform., 2010

An Analysis of Current Trends in CBR Research Using Multi-View Clustering.
AI Mag., 2010

Merging multiple criteria to identify suspicious reviews.
Proceedings of the 2010 ACM Conference on Recommender Systems, 2010

Spectral Co-Clustering for Dynamic Bipartite Graphs.
Proceedings of the 1st Workshop on Dynamic Networks and Knowledge Discovery, 2010

Distortion as a validation criterion in the identification of suspicious reviews.
Proceedings of the First Workshop on Social Media Analytics, 2010

Vector Quantization Mappings for Speaker Verification.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Using Crowdsourcing and Active Learning to Track Sentiment in Online Media.
Proceedings of the ECAI 2010, 2010

Tracking the Evolution of Communities in Dynamic Social Networks.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2009
A Taxonomy of Similarity Mechanisms for Case-Based Reasoning.
IEEE Trans. Knowl. Data Eng., 2009

Gaining insight through case-based explanation.
J. Intell. Inf. Syst., 2009

<i>Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval</i>.
J. Electronic Imaging, 2009

A Matrix Factorization Approach for Integrating Multiple Data Views.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Compensating for Expressiveness in Queries to a Content Based Music Information Retrieval System.
Proceedings of the 2009 International Computer Music Conference, 2009

A Scalable Noise Reduction Technique for Large Case-Based Systems.
Proceedings of the Case-Based Reasoning Research and Development, 2009

Artificial Data Generation for One-class Classification - A Case Study of Dimensionality Reduction for Text and Biological Data.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Combining Cohort and UBM Models in Open Set Speaker Identification.
Proceedings of the Seventh International Workshop on Content-Based Multimedia Indexing, 2009

An Assessment of Machine Learning Techniques for Review Recommendation.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

A Machine Learning System for Identifying Hypertrophy in Histopathology Images.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

A Machine Learning System for Tracking Sentiment in Irish Economic News.
Proceedings of the Artificial Intelligence and Cognitive Science - 20th Irish Conference, 2009

2008
Introduction to Bayesian Methods and Decision Theory.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Unsupervised Learning and Clustering.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Supervised Learning.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Dimension Reduction.
Proceedings of the Machine Learning Techniques for Multimedia, 2008

Dynamic integration of classifiers for handling concept drift.
Inf. Fusion, 2008

MetaFIND: A feature analysis tool for metabolomics data.
BMC Bioinform., 2008

Ensemble non-negative matrix factorization methods for clustering protein-protein interactions.
Bioinform., 2008

Unsupervised retrieval of attack profiles in collaborative recommender systems.
Proceedings of the 2008 ACM Conference on Recommender Systems, 2008

Machine Annotation of Sets of Traditional Irish Dance Tunes.
Proceedings of the ISMIR 2008, 2008

An Analysis of Research Themes in the CBR Conference Literature.
Proceedings of the Advances in Case-Based Reasoning, 9th European Conference, 2008

A system for automatically annotating traditional Irish music field recordings.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008

Parallel integration of heterogeneous genome-wide data sources.
Proceedings of the 8th IEEE International Conference on Bioinformatics and Bioengineering, 2008

2007
Learning multiple linear manifolds with self-organizing networks.
Int. J. Parallel Emergent Distributed Syst., 2007

An evaluation of dimension reduction techniques for one-class classification.
Artif. Intell. Rev., 2007

An evaluation of one-class classification techniques for speaker verification.
Artif. Intell. Rev., 2007

Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering.
Proceedings of the Machine Learning: ECML 2007, 2007

An Assessment of Alternative Strategies for Constructing EMD-Based Kernel Functions for Use in an SVM for Image Classification.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2007

BALBOA: Extending Bicluster Analysis to Classify ORFs using Expression Data.
Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering, 2007

2006
Application of Simulated Annealing to the Biclustering of Gene Expression Data.
IEEE Trans. Inf. Technol. Biomed., 2006

Discrete wavelet packet transform and ensembles of lazy and eager learners for music genre classification.
Multim. Syst., 2006

An Evaluation of the Usefulness of Explanation in a Case-Based Reasoning System for Decision Support in Bronchiolitis Treatment.
Comput. Intell., 2006

Using active learning to annotate microscope images of parasite eggs.
Artif. Intell. Rev., 2006

A methodology for comparing classifiers that allow the control of bias.
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006

Practical solutions to the problem of diagonal dominance in kernel document clustering.
Proceedings of the Machine Learning, 2006

A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering.
Proceedings of the Nineteenth International Florida Artificial Intelligence Research Society Conference, 2006

A Knowledge-Light Approach to Regression Using Case-Based Reasoning.
Proceedings of the Advances in Case-Based Reasoning, 8th European Conference, 2006

Incorporating Biological Domain Knowledge into Cluster Validity Assessment.
Proceedings of the Applications of Evolutionary Computing, 2006

Dynamic Integration with Random Forests.
Proceedings of the Machine Learning: ECML 2006, 2006

Efficient Prediction-Based Validation for Document Clustering.
Proceedings of the Machine Learning: ECML 2006, 2006

Making Good Probability Estimates for Regression.
Proceedings of the Machine Learning: ECML 2006, 2006

ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Calibrating Probability Density Forecasts with Multi-Objective Search.
Proceedings of the ECAI 2006, 17th European Conference on Artificial Intelligence, August 29, 2006

Bottom-Up Biclustering of Expression Data.
Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2006

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays.
Proceedings of the 19th IEEE International Symposium on Computer-Based Medical Systems (CBMS 2006), 2006

2005
Emergent case-based reasoning applications.
Knowl. Eng. Rev., 2005

A case-based technique for tracking concept drift in spam filtering.
Knowl. Based Syst., 2005

Diversity in search strategies for ensemble feature selection.
Inf. Fusion, 2005

A knowledge-driven approach to cluster validity assessment.
Bioinform., 2005

An integrated tool for microarray data clustering and cluster validity assessment .
Bioinform., 2005

A Case-Based Explanation System for Black-Box Systems.
Artif. Intell. Rev., 2005

An Assessment of Case-Based Reasoning for Spam Filtering.
Artif. Intell. Rev., 2005

Using Case Differences for Regression in CBR Systems.
Proceedings of the Research and Development in Intelligent Systems XXII, 2005

Producing Accurate Interpretable Clusters from High-Dimensional Data.
Proceedings of the Knowledge Discovery in Databases: PKDD 2005, 2005

Sequential Genetic Search for Ensemble Feature Selection.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

Predicting probability distributions for surf height using an ensemble of mixture density networks.
Proceedings of the Machine Learning, 2005

The Best Way to Instil Confidence Is by Being Right.
Proceedings of the Case-Based Reasoning, 2005

Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks.
Proceedings of the Case-Based Reasoning, 2005

An Evaluation of the Usefulness of Explanation in a CBR System for Decision-Support in Bronchiolitis Treatment.
Proceedings of the 6th International Conference on Case-Based Reasoning, 2005

Generating Estimates of Classification Confidence for a Case-Based Spam Filter.
Proceedings of the Case-Based Reasoning, 2005

Biclustering of Expression Data Using Simulated Annealing.
Proceedings of the 18th IEEE Symposium on Computer-Based Medical Systems (CBMS 2005), 2005

2004
Context boosting collaborative recommendations.
Knowl. Based Syst., 2004

A Multiplayer O.P.I.A.T.E.
Int. J. Intell. Games Simul., 2004

Introduction: The 14th Artificial Intelligence and Cognitive Science Conference (AICS-03).
Artif. Intell. Rev., 2004

Overfitting in Wrapper-Based Feature Subset Selection: The Harder You Try the Worse it Gets.
Proceedings of the Research and Development in Intelligent Systems XXI, 2004

Experimenting with music taste prediction by user profiling.
Proceedings of the 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2004

Explanation Oriented Retrieval.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

An Analysis of Case-Base Editing in a Spam Filtering System.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

Representing Similarity for CBR in XML.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

Improving Recommendation Ranking by Learning Personal Feature Weights.
Proceedings of the Advances in Case-Based Reasoning, 7th European Conference, 2004

Diversity in Random Subspacing Ensembles.
Proceedings of the Data Warehousing and Knowledge Discovery, 6th International Conference, 2004

Ensemble Clustering in Medical Diagnostics.
Proceedings of the 17th IEEE Symposium on Computer-Based Medical Systems (CBMS 2004), 2004

2003
Creating socially interactive no-player characters: The µ-SIV system.
Int. J. Intell. Games Simul., 2003

Explaining the output of ensembles in medical decision support on a case by case basis.
Artif. Intell. Medicine, 2003

A Wavelet Packet representation of audio signals for music genre classification using different ensemble and feature selection techniques.
Proceedings of the 5th ACM SIGMM International Workshop on Multimedia Information Retrieval, 2003

Simulating Virtual Humans Across Diverse Situations.
Proceedings of the Intelligent Agents, 4th International Workshop, 2003

Case-Based Plan Recognition in Computer Games.
Proceedings of the Case-Based Reasoning Research and Development, 2003

An Evaluation of the Usefulness of Case-Based Explanation.
Proceedings of the Case-Based Reasoning Research and Development, 2003

A Multiplayer Case Based Story Engine.
Proceedings of the 4th International Conference on Intelligent Games and Simulation (GAME-ON 2003), 2003

Search Strategies for Ensemble Feature Selection in Medical Diagnostics.
Proceedings of the 16th IEEE Symposium on Computer-Based Medical Systems (CBMS 2003), 2003

2002
The problem of bias in training data in regression problems in medical decision support.
Artif. Intell. Medicine, 2002

Acquiring Customers' Requirements in Electronic Commerce.
Artif. Intell. Rev., 2002

Explaining Predictions from a Neural Network Ensemble One at a Time.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2002

The u-SIG System; A Connectionist Driven Simulation of Socially Interactive Agents.
Proceedings of the 3rd International Conference on Intelligent Games and Simulation (GAME-ON 2002), 2002

An Approach to Aggregating Ensembles of Lazy Learners That Supports Explanation.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

Recommendation in Context.
Proceedings of the 6th European Conference ov Case Based Reasoning, 2002

A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers.
Proceedings of the Advances in Case-Based Reasoning, 6th European Conference, 2002

Programme driven music radio.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

An Interactive Story Engine.
Proceedings of the Artificial Intelligence and Cognitive Science, 2002

2001
Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design.
IEEE Trans. Knowl. Data Eng., 2001

WEBSELL: Intelligent Sales Assistants for the World Wide Web.
Künstliche Intell., 2001

Smart radio - community based music radio.
Knowl. Based Syst., 2001

Using Case Retrieval to Seed Genetic Algorithms.
Int. J. Comput. Intell. Appl., 2001

A Case-Based Reasoning View of Automated Collaborative Filtering.
Proceedings of the Case-Based Reasoning Research and Development, 2001

Case Representation Issues for Case-Based Reasoning from Ensemble Research.
Proceedings of the Case-Based Reasoning Research and Development, 2001

Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error.
Proceedings of the Machine Learning: EMCL 2001, 2001

2000
Tuning Diversity in Bagged Ensembles.
Int. J. Neural Syst., 2000

Stability problems with artificial neural networks and the ensemble solution.
Artif. Intell. Medicine, 2000

A Dynamic Approach to Reducing Dialog in On-Line Decision Guides.
Proceedings of the Advances in Case-Based Reasoning, 5th European Workshop, 2000

Diversity versus Quality in Classification Ensembles Based on Feature Selection.
Proceedings of the Machine Learning: ECML 2000, 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31, 2000

1999
Knowledge engineering issues in developing a case-based reasoning application.
Knowl. Based Syst., 1999

Confidence and prediction intervals for neural network ensembles.
Proceedings of the International Joint Conference Neural Networks, 1999

Shaping a CBR View with XML.
Proceedings of the Case-Based Reasoning and Development, Third International Conference, 1999

The NeuralBAG algorithm: optimizing generalization performance in bagged neural networks.
Proceedings of the 7th European Symposium on Artificial Neural Networks, 1999

1998
An incremental retrieval mechanism for case-based electronic fault diagnosis.
Knowl. Based Syst., 1998

Neural Networks for Language Identification: A Comparative Study.
Inf. Process. Manag., 1998

Solution reuse for model generation in numerical simulation.
Artif. Intell. Eng., 1998

A case study on the use of model-based systems for electronic fault diagnosis.
Artif. Intell. Eng., 1998

Generalised Syntactiv Pattern Recognition as a Unifying Approach in Image Analysis.
Proceedings of the Advances in Pattern Recognition, 1998

CBR: Strengths and Weaknesses.
Proceedings of the Tasks and Methods in Applied Artificial Intelligence, 1998

Using Configuration Techniques for Adaptation.
Proceedings of the Case-Based Reasoning Technology, From Foundations to Applications, 1998

Hierarchical CBR for Multiple Aircraft Conflict Resolution.
Proceedings of the 13th European Conference on Artificial Intelligence, 1998

Agent Mediated Collaborative Web Page Filtering.
Proceedings of the Cooperative Information Agents II, 1998

1997
Mobile Agents - Smart Messages.
Proceedings of the Mobile Agents, First International Workshop, 1997

Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control.
Proceedings of the Case-Based Reasoning Research and Development, 1997

Learning Feature Weights for CBR: Global versus Local.
Proceedings of the AI*IA 97: Advances in Artificial Intelligence, 1997

1996
The Utility Problem Analysed: A Case-Based Reasoning Perspective.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996

Adaptation Guided Retrieval in EBMT: A Case-Based Approach to Machine Translation.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996

ISAC: A CBR System for Decision Support in Air Traffic Control.
Proceedings of the Advances in Case-Based Reasoning, Third European Workshop, 1996

An example-based approach to machine translation.
Proceedings of the Conference of the Association for Machine Translation in the Americas, 1996

1995
Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies.
Proceedings of the Case-Based Reasoning Research and Development, 1995

On the use of CBR in optimisation problems such as the TSP.
Proceedings of the Case-Based Reasoning Research and Development, 1995

1994
A Comparison of Incremental Case-Based Reasoning and Inductive Learning.
Proceedings of the Advances in Case-Based Reasoning, Second European Workshop, 1994

On the Limitations of Memory Based Reasoning.
Proceedings of the Advances in Case-Based Reasoning, Second European Workshop, 1994

1993
Knowledge Engineering Requirements in Derivational Analogy.
Proceedings of the Topics in Case-Based Reasoning, First European Workshop, 1993

1992
Competitive Hypothesis Resolution in TWIG, a Blackboard-Driven Text Understanding System.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

Déjà Vu: A Hierarchical Case-Based Reasoning System for Software Design.
Proceedings of the 10th European Conference on Artificial Intelligence, 1992

1991
Organizational Issues Arising from the Integration of the Lexicon and Concept Network in a Text Understanding System.
Proceedings of the 12th International Joint Conference on Artificial Intelligence. Sydney, 1991

1987
Qualitative Reasoning in Electronic Fault Diagnosis.
Proceedings of the 10th International Joint Conference on Artificial Intelligence. Milan, 1987


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