Qualitative Reasoning in Electronic Fault Diagnosis. - Padraig Cunningham (IJCAI, 1987)

Organizational Issues Arising from the Integration of the Lexicon and Concept Network in a Text Understanding System. - Padraig Cunningham; Tony Veale (IJCAI, 1991)

Déjà Vu: A Hierarchical Case-Based Reasoning System for Software Design. - Barry Smyth; Padraig Cunningham (ECAI, 1992)

Competitive Hypothesis Resolution in TWIG, a Blackboard-Driven Text Understanding System. - Tony Veale; Padraig Cunningham (ECAI, 1992)

Knowledge Engineering Requirements in Derivational Analogy. - Padraig Cunningham; Donal Finn; Seán Slattery (EWCBR, 1993)

On the Limitations of Memory Based Reasoning. - Padraig Cunningham; Barry Smyth; Tony Veale (EWCBR, 1994)

A Comparison of Incremental Case-Based Reasoning and Inductive Learning. - Barry Smyth; Padraig Cunningham (EWCBR, 1994)

On the use of CBR in optimisation problems such as the TSP. - Padraig Cunningham; Barry Smyth; Neil J. Hurley (ICCBR, 1995)

Systems, Tasks and Adaptation Knowledge: Revealing Some Revealing Dependencies. - Kathleen Hanney; Mark T. Keane; Barry Smyth; Padraig Cunningham (ICCBR, 1995)

An example-based approach to machine translation. - Bróna Collins; Pádraig Cunningham; Tony Veale (AMTA, 1996)

ISAC: A CBR System for Decision Support in Air Traffic Control. - Andrea Bonzano; Padraig Cunningham; Colin Meckiff (EWCBR, 1996)

Adaptation Guided Retrieval in EBMT: A Case-Based Approach to Machine Translation. - Bróna Collins; Padraig Cunningham (EWCBR, 1996)

The Utility Problem Analysed: A Case-Based Reasoning Perspective. - Barry Smyth; Padraig Cunningham (EWCBR, 1996)

Learning Feature Weights for CBR: Global versus Local. - Andrea Bonzano; Padraig Cunningham; Barry Smyth (AI*IA, 1997)

Using Introspective Learning to Improve Retrieval in CBR: A Case Study in Air Traffic Control. - Andrea Bonzano; Padraig Cunningham; Barry Smyth (ICCBR, 1997)

Mobile Agents - Smart Messages. - Leon Hurst; Padraig Cunningham; Fergal Somers (Mobile Agents, 1997)

Agent Mediated Collaborative Web Page Filtering. - Shaw Green; Padraig Cunningham; Fergal Somers (CIA, 1998)

Hierarchical CBR for Multiple Aircraft Conflict Resolution. - Andrea Bonzano; Padraig Cunningham (ECAI, 1998)

Using Configuration Techniques for Adaptation. - Wolfgang Wilke; Barry Smyth; Padraig Cunningham (Case-Based Reasoning Technology, 1998)

CBR: Strengths and Weaknesses. - Padraig Cunningham (IEA/AIE (Vol. 2), 1998)

Generalised Syntactiv Pattern Recognition as a Unifying Approach in Image Analysis. - Mark Venguerov; Padraig Cunningham (SSPR/SPR, 1998)

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

Solution reuse for model generation in numerical simulation. - Donal Finn; Padraig Cunningham (Artif. Intell. Eng., 1998)

Neural Networks for Language Identification: A Comparative Study. - Shane MacNamara; Padraig Cunningham; John Byrne (Inf. Process. Manag., 1998)

An incremental retrieval mechanism for case-based electronic fault diagnosis. - Padraig Cunningham; Barry Smyth; Andrea Bonzano (Knowl. Based Syst., 1998)

The NeuralBAG algorithm: optimizing generalization performance in bagged neural networks. - John Carney; Padraig Cunningham (ESANN, 1999)

Shaping a CBR View with XML. - Conor Hayes; Padraig Cunningham (ICCBR, 1999)

Confidence and prediction intervals for neural network ensembles. - John Carney; Padraig Cunningham; Umesh Bhagwan (IJCNN, 1999)

Knowledge engineering issues in developing a case-based reasoning application. - Padraig Cunningham; Andrea Bonzano (Knowl. Based Syst., 1999)

Diversity versus Quality in Classification Ensembles Based on Feature Selection. - Padraig Cunningham; John Carney (ECML, 2000)

A Dynamic Approach to Reducing Dialog in On-Line Decision Guides. - Michelle Doyle; Padraig Cunningham (EWCBR, 2000)

Stability problems with artificial neural networks and the ensemble solution. - Padraig Cunningham; John Carney; Saji Jacob (Artif. Intell. Medicine, 2000)

Tuning Diversity in Bagged Ensembles. - John Carney; Padraig Cunningham (Int. J. Neural Syst., 2000)

Using Diversity in Preparing Ensembles of Classifiers Based on Different Feature Subsets to Minimize Generalization Error. - Gabriele Zenobi; Padraig Cunningham (ECML, 2001)

Case Representation Issues for Case-Based Reasoning from Ensemble Research. - Padraig Cunningham; Gabriele Zenobi (ICCBR, 2001)

A Case-Based Reasoning View of Automated Collaborative Filtering. - Conor Hayes; Padraig Cunningham; Barry Smyth (ICCBR, 2001)

Using Case Retrieval to Seed Genetic Algorithms. - Stephen Oman; Padraig Cunningham (Int. J. Comput. Intell. Appl., 2001)

Smart radio - community based music radio. - Conor Hayes; Padraig Cunningham (Knowl. Based Syst., 2001)

WEBSELL: Intelligent Sales Assistants for the World Wide Web. - Padraig Cunningham; Ralph Bergmann; Sascha Schmitt; Ralph Traphöner; Sean Breen; Barry Smyth (Künstliche Intell., 2001)

Hierarchical Case-Based Reasoning Integrating Case-Based and Decompositional Problem-Solving Techniques for Plant-Control Software Design. - Barry Smyth; Mark T. Keane; Padraig Cunningham (IEEE Trans. Knowl. Data Eng., 2001)

An Interactive Story Engine. - Chris Fairclough; Padraig Cunningham (AICS, 2002)

Programme driven music radio. - Conor Hayes; Padraig Cunningham; Patrick Clerkin; Marco Grimaldi (ECAI, 2002)

A Case-Based Personal Travel Assistant for Elaborating User Requirements and Assessing Offers. - Lorcan Coyle; Padraig Cunningham; Conor Hayes (ECCBR, 2002)

Recommendation in Context. - Padraig Cunningham; Conor Hayes (ECCBR Workshops, 2002)

An Approach to Aggregating Ensembles of Lazy Learners That Supports Explanation. - Gabriele Zenobi; Padraig Cunningham (ECCBR, 2002)

The u-SIG System; A Connectionist Driven Simulation of Socially Interactive Agents. - Brian MacNamee; Padraig Cunningham (GAME-ON, 2002)

Explaining Predictions from a Neural Network Ensemble One at a Time. - Robert Wall; Padraig Cunningham; Paul Walsh (PKDD, 2002)

Acquiring Customers' Requirements in Electronic Commerce. - Ralph Bergmann; Padraig Cunningham (Artif. Intell. Rev., 2002)

The problem of bias in training data in regression problems in medical decision support. - Brian MacNamee; Padraig Cunningham; Stephen Byrne; O. I. Corrigan (Artif. Intell. Medicine, 2002)

Search Strategies for Ensemble Feature Selection in Medical Diagnostics. - Alexey Tsymbal; Padraig Cunningham; Mykola Pechenizkiy; Seppo Puuronen (CBMS, 2003)

A Multiplayer Case Based Story Engine. - Chris Fairclough; Padraig Cunningham (GAME-ON, 2003)

An Evaluation of the Usefulness of Case-Based Explanation. - Padraig Cunningham; Dónal Doyle; John Loughrey (ICCBR, 2003)

Case-Based Plan Recognition in Computer Games. - Michael Fagan 003; Padraig Cunningham (ICCBR, 2003)

Simulating Virtual Humans Across Diverse Situations. - Brian MacNamee; Simon Dobbyn; Padraig Cunningham; Carol O'Sullivan (IVA, 2003)

A Wavelet Packet representation of audio signals for music genre classification using different ensemble and feature selection techniques. - Marco Grimaldi; Padraig Cunningham; Anil C. Kokaram (Multimedia Information Retrieval, 2003)

Explaining the output of ensembles in medical decision support on a case by case basis. - Robert Wall; Padraig Cunningham; Paul Walsh; Stephen Byrne (Artif. Intell. Medicine, 2003)

Creating socially interactive no-player characters: The µ-SIV system. - Brian MacNamee; Padraig Cunningham (Int. J. Intell. Games Simul., 2003)

Ensemble Clustering in Medical Diagnostics. - Derek Greene; Alexey Tsymbal; Nadia Bolshakova; Padraig Cunningham (CBMS, 2004)

Diversity in Random Subspacing Ensembles. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (DaWaK, 2004)

Improving Recommendation Ranking by Learning Personal Feature Weights. - Lorcan Coyle; Padraig Cunningham (ECCBR, 2004)

Representing Similarity for CBR in XML. - Lorcan Coyle; Dónal Doyle; Padraig Cunningham (ECCBR, 2004)

An Analysis of Case-Base Editing in a Spam Filtering System. - Sarah Jane Delany; Padraig Cunningham (ECCBR, 2004)

Explanation Oriented Retrieval. - Dónal Doyle; Padraig Cunningham; Derek G. Bridge; Yusof Rahman (ECCBR, 2004)

Experimenting with music taste prediction by user profiling. - Marco Grimaldi; Padraig Cunningham (Multimedia Information Retrieval, 2004)

Overfitting in Wrapper-Based Feature Subset Selection: The Harder You Try the Worse it Gets. - John Loughrey; Padraig Cunningham (SGAI Conf., 2004)

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

A Multiplayer O.P.I.A.T.E. - Chris Fairclough; Padraig Cunningham (Int. J. Intell. Games Simul., 2004)

Context boosting collaborative recommendations. - Conor Hayes; Padraig Cunningham (Knowl. Based Syst., 2004)

Biclustering of Expression Data Using Simulated Annealing. - Kenneth Bryan; Padraig Cunningham; Nadia Bolshakova (CBMS, 2005)

Generating Estimates of Classification Confidence for a Case-Based Spam Filter. - Sarah Jane Delany; Padraig Cunningham; Dónal Doyle; Anton Zamolotskikh (ICCBR, 2005)

An Evaluation of the Usefulness of Explanation in a CBR System for Decision-Support in Bronchiolitis Treatment. - Dónal Doyle; Padraig Cunningham; Paul Walsh (ICCBR Workshops, 2005)

Re-using Implicit Knowledge in Short-Term Information Profiles for Context-Sensitive Tasks. - Conor Hayes; Paolo Avesani; Emiliano Baldo; Padraig Cunningham (ICCBR, 2005)

The Best Way to Instil Confidence Is by Being Right. - Conor Nugent; Padraig Cunningham; Dónal Doyle (ICCBR, 2005)

Predicting probability distributions for surf height using an ensemble of mixture density networks. - Michael Carney; Padraig Cunningham; Jim Dowling; Ciaran Lee (ICML, 2005)

Sequential Genetic Search for Ensemble Feature Selection. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (IJCAI, 2005)

Producing Accurate Interpretable Clusters from High-Dimensional Data. - Derek Greene; Padraig Cunningham (PKDD, 2005)

Using Case Differences for Regression in CBR Systems. - Neil McDonnell; Pádraig Cunningham (SGAI Conf., 2005)

An Assessment of Case-Based Reasoning for Spam Filtering. - Sarah Jane Delany; Padraig Cunningham; Lorcan Coyle (Artif. Intell. Rev., 2005)

A Case-Based Explanation System for Black-Box Systems. - Conor Nugent; Padraig Cunningham (Artif. Intell. Rev., 2005)

An integrated tool for microarray data clustering and cluster validity assessment . - Nadia Bolshakova; Francisco Azuaje; Padraig Cunningham (Bioinform., 2005)

A knowledge-driven approach to cluster validity assessment. - Nadia Bolshakova; Francisco Azuaje; Padraig Cunningham (Bioinform., 2005)

Diversity in search strategies for ensemble feature selection. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (Inf. Fusion, 2005)

A case-based technique for tracking concept drift in spam filtering. - Sarah Jane Delany; Padraig Cunningham; Alexey Tsymbal; Lorcan Coyle (Knowl. Based Syst., 2005)

Emergent case-based reasoning applications. - Ramón López de Mántaras; Padraig Cunningham; Petra Perner (Knowl. Eng. Rev., 2005)

Comparison of the Data-based and Gene Ontology-Based Approaches to Cluster Validation Methods for Gene Microarrays. - Nadia Bolshakova; Anton Zamolotskikh; Padraig Cunningham (CBMS, 2006)

Handling Local Concept Drift with Dynamic Integration of Classifiers: Domain of Antibiotic Resistance in Nosocomial Infections. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham; Seppo Puuronen (CBMS, 2006)

Bottom-Up Biclustering of Expression Data. - Kenneth Bryan; Padraig Cunningham (CIBCB, 2006)

Calibrating Probability Density Forecasts with Multi-Objective Search. - Michael Carney; Padraig Cunningham (ECAI, 2006)

ECUE: A Spam Filter that Uses Machine Leaming to Track Concept Drift. - Sarah Jane Delany; Padraig Cunningham; Barry Smyth (ECAI, 2006)

Making Good Probability Estimates for Regression. - Michael Carney; Padraig Cunningham (ECML, 2006)

Efficient Prediction-Based Validation for Document Clustering. - Derek Greene; Padraig Cunningham (ECML, 2006)

Dynamic Integration with Random Forests. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham (ECML, 2006)

Incorporating Biological Domain Knowledge into Cluster Validity Assessment. - Nadia Bolshakova; Francisco Azuaje; Padraig Cunningham (EvoWorkshops, 2006)

A Knowledge-Light Approach to Regression Using Case-Based Reasoning. - Neil McDonnell; Padraig Cunningham (ECCBR, 2006)

A Comparison of Ensemble and Case-Base Maintenance Techniques for Handling Concept Drift in Spam Filtering. - Sarah Jane Delany; Padraig Cunningham; Alexey Tsymbal (FLAIRS, 2006)

Practical solutions to the problem of diagonal dominance in kernel document clustering. - Derek Greene; Padraig Cunningham (ICML, 2006)

A methodology for comparing classifiers that allow the control of bias. - Anton Zamolotskikh; Sarah Jane Delany; Padraig Cunningham (SAC, 2006)

Using active learning to annotate microscope images of parasite eggs. - Conor Nugent; Padraig Cunningham; Patrick Kirwan (Artif. Intell. Rev., 2006)

An Evaluation of the Usefulness of Explanation in a Case-Based Reasoning System for Decision Support in Bronchiolitis Treatment. - Dónal Doyle; Padraig Cunningham; Paul Walsh (Comput. Intell., 2006)

Discrete wavelet packet transform and ensembles of lazy and eager learners for music genre classification. - Marco Grimaldi; Padraig Cunningham; Anil C. Kokaram (Multim. Syst., 2006)

Application of Simulated Annealing to the Biclustering of Gene Expression Data. - Kenneth Bryan; Padraig Cunningham; Nadia Bolshakova (IEEE Trans. Inf. Technol. Biomed., 2006)

BALBOA: Extending Bicluster Analysis to Classify ORFs using Expression Data. - Kenneth Bryan; Padraig Cunningham (BIBE, 2007)

An Assessment of Alternative Strategies for Constructing EMD-Based Kernel Functions for Use in an SVM for Image Classification. - Anton Zamolotskikh; Padraig Cunningham (CBMI, 2007)

Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-supervised Clustering. - Derek Greene; Padraig Cunningham (ECML, 2007)

An evaluation of one-class classification techniques for speaker verification. - Anthony Brew; Marco Grimaldi; Padraig Cunningham (Artif. Intell. Rev., 2007)

An evaluation of dimension reduction techniques for one-class classification. - Santiago D. Villalba; Padraig Cunningham (Artif. Intell. Rev., 2007)

Learning multiple linear manifolds with self-organizing networks. - Huicheng Zheng; Padraig Cunningham; Alexey Tsymbal (Int. J. Parallel Emergent Distributed Syst., 2007)

Parallel integration of heterogeneous genome-wide data sources. - Derek Greene; Kenneth Bryan; Padraig Cunningham (BIBE, 2008)

A system for automatically annotating traditional Irish music field recordings. - Bryan Duggan; Brendan O'Shea; Padraig Cunningham (CBMI, 2008)

An Analysis of Research Themes in the CBR Conference Literature. - Derek Greene; Jill Freyne; Barry Smyth; Padraig Cunningham (ECCBR, 2008)

Machine Annotation of Sets of Traditional Irish Dance Tunes. - Bryan Duggan; Brendan O'Shea; Mikel Gainza; Padraig Cunningham (ISMIR, 2008)

Unsupervised retrieval of attack profiles in collaborative recommender systems. - Kenneth Bryan; Michael P. O'Mahony; Padraig Cunningham (RecSys, 2008)

Ensemble non-negative matrix factorization methods for clustering protein-protein interactions. - Derek Greene; Gerard Cagney; Nevan J. Krogan; Padraig Cunningham (Bioinform., 2008)

MetaFIND: A feature analysis tool for metabolomics data. - Kenneth Bryan; Lorraine Brennan; Padraig Cunningham (BMC Bioinform., 2008)

Dynamic integration of classifiers for handling concept drift. - Alexey Tsymbal; Mykola Pechenizkiy; Padraig Cunningham; Seppo Puuronen (Inf. Fusion, 2008)

Dimension Reduction. - Pádraig Cunningham (Machine Learning Techniques for Multimedia, 2008)

Supervised Learning. - Pádraig Cunningham; Matthieu Cord; Sarah Jane Delany (Machine Learning Techniques for Multimedia, 2008)

Unsupervised Learning and Clustering. - Derek Greene; Pádraig Cunningham; Rudolf Mayer (Machine Learning Techniques for Multimedia, 2008)

Introduction to Bayesian Methods and Decision Theory. - Simon P. Wilson 001; Rozenn Dahyot; Pádraig Cunningham (Machine Learning Techniques for Multimedia, 2008)

A Machine Learning System for Tracking Sentiment in Irish Economic News. - Anthony Brew; Derek Greene; Padraig Cunningham (AICS, 2009)

A Machine Learning System for Identifying Hypertrophy in Histopathology Images. - Ross Foley; William M. Gallagher; Sean Callanan; Pádraig Cunningham (AICS, 2009)

An Assessment of Machine Learning Techniques for Review Recommendation. - Michael P. O'Mahony; Padraig Cunningham; Barry Smyth (AICS, 2009)

Combining Cohort and UBM Models in Open Set Speaker Identification. - Anthony Brew; Pádraig Cunningham (CBMI, 2009)

Artificial Data Generation for One-class Classification - A Case Study of Dimensionality Reduction for Text and Biological Data. - Santiago D. Villalba; Padraig Cunningham (KDIR, 2009)

A Scalable Noise Reduction Technique for Large Case-Based Systems. - Nicola Segata; Enrico Blanzieri; Padraig Cunningham (ICCBR, 2009)

Compensating for Expressiveness in Queries to a Content Based Music Information Retrieval System. - Bryan Duggan; Brendan O'Shea; Mikel Gainza; Pádraig Cunningham (ICMC, 2009)

A Matrix Factorization Approach for Integrating Multiple Data Views. - Derek Greene; Padraig Cunningham (ECML/PKDD (1), 2009)

Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval. - Matthieu Cord; Padraig Cunningham; Dhiraj Joshi (J. Electronic Imaging, 2009)

Gaining insight through case-based explanation. - Conor Nugent; Dónal Doyle; Padraig Cunningham (J. Intell. Inf. Syst., 2009)

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

Tracking the Evolution of Communities in Dynamic Social Networks. - Derek Greene; Dónal Doyle; Padraig Cunningham (ASONAM, 2010)

Using Crowdsourcing and Active Learning to Track Sentiment in Online Media. - Anthony Brew; Derek Greene; Padraig Cunningham (ECAI, 2010)

Vector Quantization Mappings for Speaker Verification. - Anthony Brew; Padraig Cunningham (ICPR, 2010)

Distortion as a validation criterion in the identification of suspicious reviews. - Guangyu Wu; Derek Greene; Barry Smyth; Pádraig Cunningham (SOMA@KDD, 2010)

Spectral Co-Clustering for Dynamic Bipartite Graphs. - Derek Greene; Padraig Cunningham (NyNaK, 2010)

Merging multiple criteria to identify suspicious reviews. - Guangyu Wu; Derek Greene; Padraig Cunningham (RecSys, 2010)

An Analysis of Current Trends in CBR Research Using Multi-View Clustering. - Derek Greene; Jill Freyne; Barry Smyth; Pádraig Cunningham (AI Mag., 2010)

Missing value imputation for epistatic MAPs. - Colm J. Ryan; Derek Greene; Gerard Cagney; Padraig Cunningham (BMC Bioinform., 2010)

Relative status of journal and conference publications in computer science. - Jill Freyne; Lorcan Coyle; Barry Smyth; Padraig Cunningham (Commun. ACM, 2010)

Noise reduction for instance-based learning with a local maximal margin approach. - Nicola Segata; Enrico Blanzieri; Sarah Jane Delany; Padraig Cunningham (J. Intell. Inf. Syst., 2010)

Partitioning large networks without breaking communities. - Anand Narasimhamurthy; Derek Greene; Neil J. Hurley; Padraig Cunningham (Knowl. Inf. Syst., 2010)

Combining cohort and UBM models in open set speaker detection. - Anthony Brew; Padraig Cunningham (Multim. Tools Appl., 2010)

ThemeCrowds: multiresolution summaries of twitter usage. - Daniel Archambault; Derek Greene; Pádraig Cunningham; Neil J. Hurley (SMUC, 2011)

Characterizing Wikipedia pages using edit network motif profiles. - Guangyu Wu; Martin Harrigan; Pádraig Cunningham (SMUC, 2011)

Deriving Insights from National Happiness Indices. - Anthony Brew; Derek Greene; Daniel Archambault; Padraig Cunningham (ICDM Workshops, 2011)

Using Hierarchical Community Structure to Improve Community-Based Message Routing. - Matthew Stabeler; Conrad Lee; Graham Williamson; Pádraig Cunningham (The Social Mobile Web, 2011)

Identifying Representative Textual Sources in Blog Networks. - Karen Wade; Derek Greene; Conrad Lee; Daniel Archambault; Pádraig Cunningham (ICWSM, 2011)

Mining Dense Structures to Uncover Anomalous Behaviour in Financial Network Data. - Ursula Redmond; Martin Harrigan; Pádraig Cunningham (MSM/MUSE, 2011)

Improved functional overview of protein complexes using inferred epistatic relationships. - Colm J. Ryan; Derek Greene; Aude Guénolé; Haico van Attikum; Nevan J. Krogan; Pádraig Cunningham; Gerard Cagney (BMC Syst. Biol., 2011)

Ensemble based system for whole-slide prostate cancer probability mapping using color texture features. - Matthew D. DiFranco; Gillian O'Hurley; Elaine W. Kay; R. William G. Watson; Padraig Cunningham (Comput. Medical Imaging Graph., 2011)

Supporting the Curation of Twitter User Lists - Derek Greene; Fergal Reid; Gavin Sheridan; Padraig Cunningham (CoRR, 2011)

The Geographic Flow of Music. - Conrad Lee; Padraig Cunningham (ASONAM, 2012)

EgoNav: exploring networks through egocentric spatializations. - Martin Harrigan; Daniel Archambault; Pádraig Cunningham; Neil J. Hurley (AVI, 2012)

Using Storm to Perform Dynamic Egocentric Network Motif Analysis. - Martin Harrigan; Padraig Cunningham; Lorcan Coyle (ICDM Workshops, 2012)

Network Analysis of Recurring YouTube Spam Campaigns. - Derek O'Callaghan; Martin Harrigan; Joe Carthy; Pádraig Cunningham (ICWSM, 2012)

An Analysis of Interactions within and between Extreme Right Communities in Social Media. - Derek O'Callaghan; Derek Greene; Maura Conway; Joe Carthy; Pádraig Cunningham (MSM/MUSE, 2012)

A system for twitter user list curation. - Igor Brigadir; Derek Greene; Padraig Cunningham (RecSys, 2012)

Aggregating content and network information to curate twitter user lists. - Derek Greene; Gavin Sheridan; Barry Smyth; Pádraig Cunningham (RSWeb@RecSys, 2012)

Classifying Wikipedia articles using network motif counts and ratios. - Guangyu Wu; Martin Harrigan; Pádraig Cunningham (WikiSym, 2012)

An Assessment of Community Finding Algorithms for Community-Based Message Routing in DTNs. - Matthew Stabeler; Conrad Lee; Pádraig Cunningham (WWIC, 2012)

Identifying Discriminating Network Motifs in YouTube Spam - Derek O'Callaghan; Martin Harrigan; Joe Carthy; Pádraig Cunningham (CoRR, 2012)

Assessing the Quality of Wikipedia Pages Using Edit Longevity and Contributor Centrality - Xiangju Qin; Pádraig Cunningham (CoRR, 2012)

Identifying Topical Twitter Communities via User List Aggregation - Derek Greene; Derek O'Callaghan; Pádraig Cunningham (CoRR, 2012)

Simmelian backbones: amplifying hidden homophily in Facebook networks. - Bobo Nick; Conrad Lee; Pádraig Cunningham; Ulrik Brandes (ASONAM, 2013)

Temporal subgraph isomorphism. - Ursula Redmond; Pádraig Cunningham (ASONAM, 2013)

Link prediction with social vector clocks. - Conrad Lee; Bobo Nick; Ulrik Brandes; Pádraig Cunningham (KDD, 2013)

Producing a unified graph representation from multiple social network views. - Derek Greene; Pádraig Cunningham (WebSci, 2013)

Uncovering the wider structure of extreme right communities spanning popular online networks. - Derek O'Callaghan; Derek Greene; Maura Conway; Joe Carthy; Pádraig Cunningham (WebSci, 2013)

Using tf-idf as an edge weighting scheme in user-object bipartite networks. - Sorin Alupoaie; Pádraig Cunningham (CoRR, 2013)

TwitterCrowds: Techniques for Exploring Topic and Sentiment in Microblogging Data. - Daniel Archambault; Derek Greene; Pádraig Cunningham (CoRR, 2013)

Discovering Latent Patterns from the Analysis of User-Curated Movie Lists. - Derek Greene; Pádraig Cunningham (CoRR, 2013)

The Extreme Right Filter Bubble. - Derek O'Callaghan; Derek Greene; Maura Conway; Joe Carthy; Pádraig Cunningham (CoRR, 2013)

Measuring the Significance of the Geographic Flow of Music - Conrad Lee; Aaron F. McDaid; Pádraig Cunningham (CoRR, 2013)

Benchmarking community detection methods on social media data - Conrad Lee; Pádraig Cunningham (CoRR, 2013)

A temporal network analysis reveals the unprofitability of arbitrage in The Prosper Marketplace. - Ursula Redmond; Pádraig Cunningham (Expert Syst. Appl., 2013)

Characterizing ego-networks using motifs. - Pádraig Cunningham; Martin Harrigan; Guangyu Wu; Derek O'Callaghan (Netw. Sci., 2013)

Online social media in the Syria conflict: Encompassing the extremes and the in-betweens. - Derek O'Callaghan; Nico Prucha; Derek Greene; Maura Conway; Joe Carthy; Padraig Cunningham (ASONAM, 2014)

The Contribution of Morphological Features in the Classification of Prostate Carcinoma in Digital Pathology Images. - Nicholas McCarthy; Padraig Cunningham; Gillian O'Hurley (ICPR, 2014)

Exploring the Relationship between Membership Turnover and Productivity in Online Communities. - Xiangju Qin; Michael Salter-Townshend; Pádraig Cunningham (ICWSM, 2014)

How Many Topics? Stability Analysis for Topic Models. - Derek Greene; Derek O'Callaghan; Padraig Cunningham (ECML/PKDD (1), 2014)

A Latent Space Analysis of Editor Lifecycles in Wikipedia. - Xiangju Qin; Derek Greene; Pádraig Cunningham (MSM/MUSE/SenseML, 2014)

Identifying Over-represented Temporal Processes in Complex Networks. - Ursula Redmond; Padraig Cunningham (DyNaK, 2014)

Linguistically Informed Tweet Categorization for Online Reputation Management. - Gerard Lynch; Pádraig Cunningham (WASSA@ACL, 2014)

Community detection: effective evaluation on large social networks. - Conrad Lee; Pádraig Cunningham (J. Complex Networks, 2014)

Adaptive Representations for Tracking Breaking News on Twitter. - Igor Brigadir; Derek Greene; Pádraig Cunningham (CoRR, 2014)

Analyzing Discourse Communities with Distributional Semantic Models. - Igor Brigadir; Derek Greene; Pádraig Cunningham (WebSci, 2015)

TextLuas: Tracking and Visualizing Document and Term Clusters in Dynamic Text Data. - Derek Greene; Daniel Archambault; Václav Belák; Pádraig Cunningham (CoRR, 2015)

An analysis of the coherence of descriptors in topic modeling. - Derek O'Callaghan; Derek Greene; Joe Carthy; Pádraig Cunningham (Expert Syst. Appl., 2015)

Integration of multiple network views in Wikipedia. - Guangyu Wu; Pádraig Cunningham (Knowl. Inf. Syst., 2015)

The influence of network structures of Wikipedia discussion pages on the efficiency of WikiProjects. - Xiangju Qin; Pádraig Cunningham; Michael Salter-Townshend (Soc. Networks, 2015)

Dimensionality Reduction and Visualisation Tools for Voting Records. - Igor Brigadir; Derek Greene; James P. Cross; Padraig Cunningham (AICS, 2016)

Time Series Clustering of Moodle Activity Data. - Ewa Mlynarska; Derek Greene; Padraig Cunningham (AICS, 2016)

Detecting Attention Dominating Moments Across Media Types. - Igor Brigadir; Derek Greene; Pádraig Cunningham (NewsIR@ECIR, 2016)

Time Series Analysis of VLE Activity Data. - Ewa Mlynarska; Pádraig Cunningham; Derek Greene (EDM, 2016)

Indicators of Good Student Performance in Moodle Activity Data. - Ewa Mlynarska; Derek Greene; Pádraig Cunningham (CoRR, 2016)

Subgraph Isomorphism in Temporal Networks. - Ursula Redmond; Pádraig Cunningham (CoRR, 2016)

Online Trans-dimensional von Mises-Fisher Mixture Models for User Profiles. - Xiangju Qin; Pádraig Cunningham; Michael Salter-Townshend (J. Mach. Learn. Res., 2016)

Running with Cases: A CBR Approach to Running Your Best Marathon. - Barry Smyth; Pádraig Cunningham (ICCBR, 2017)

A Novel Recommender System for Helping Marathoners to Achieve a New Personal-Best. - Barry Smyth; Pádraig Cunningham (RecSys, 2017)

Kernel Methods for Time Series Classification and Regression. - Mourtadha Badiane; Martin O'Reilly 001; Padraig Cunningham (AICS, 2018)

A Comparison of k-NN Methods for Time Series Classification and Regression. - Vivek Mahato; Martin O'Reilly 001; Padraig Cunningham (AICS, 2018)

An Analysis of Case Representations for Marathon Race Prediction and Planning. - Barry Smyth; Pádraig Cunningham (ICCBR, 2018)

Marathon Race Planning: A Case-Based Reasoning Approach. - Barry Smyth; Padraig Cunningham (IJCAI, 2018)

Scoring Performance on the Y-Balance Test. - Vivek Mahato; William Johnston; Pádraig Cunningham (ICCBR, 2019)

Using Navigable Small Worlds to Speed Up Time-Series Classification. - Vivek Mahato; Pádraig Cunningham (AICS, 2020)

A Feature Selection Method for Multi-dimension Time-Series Data. - Bahavathy Kathirgamanathan; Pádraig Cunningham (AALTD@PKDD/ECML, 2020)

Underestimation Bias and Underfitting in Machine Learning. - Pádraig Cunningham; Sarah Jane Delany (TAILOR, 2020)

k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples). - Padraig Cunningham; Sarah Jane Delany (CoRR, 2020)

Algorithmic Bias and Regularisation in Machine Learning. - Padraig Cunningham; Sarah Jane Delany (CoRR, 2020)

An Evaluation of Classification Methods for 3D Printing Time-Series Data. - Vivek Mahato; Muhannad Ahmed Obeidi; Dermot Brabazon; Padraig Cunningham (CoRR, 2020)

A Case-Study on the Impact of Dynamic Time Warping in Time Series Regression. - Vivek Mahato; Pádraig Cunningham (CoRR, 2020)

Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis. - Linyi Yang; Jiazheng Li 002; Padraig Cunningham; Yue Zhang 004; Barry Smyth; Ruihai Dong (ACL/IJCNLP (1), 2021)

Algorithmic Factors Influencing Bias in Machine Learning. - William Blanzeisky; Pádraig Cunningham (PKDD/ECML Workshops (1), 2021)

Using Barycenters as Aggregate Representations of Repetition-Based Time-Series Exercise Data. - Bahavathy Kathirgamanathan; James Davenport; Brian Caulfield 001; Pádraig Cunningham (MLSA@PKDD/ECML, 2021)

Feature Selection Tutorial with Python Examples. - Padraig Cunningham; Bahavathy Kathirgamanathan; Sarah Jane Delany (CoRR, 2021)

Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning. - William Blanzeisky; Pádraig Cunningham; Kenneth Kennedy (CoRR, 2021)

Correlation Based Feature Subset Selection for Multivariate Time-Series Data. - Bahavathy Kathirgamanathan; Padraig Cunningham (CoRR, 2021)

Identification of the Best Accelerometer Features and Time-Scale to Detect Disturbances in Calves. - Oshana Dissanayake; Sarah McPherson; Emer Kennedy; Katie Sugrue; Muireann Conneely; Laurence Shalloo; Pádraig Cunningham; Lucile Riaboff (AALTD@ECML/PKDD, 2022)

Algorithmic Bias and Fairness in Case-Based Reasoning. - William Blanzeisky; Barry Smyth; Pádraig Cunningham (ICCBR, 2022)

Feature Subset Selection for Detecting Fatigue in Runners Using Time Series Sensor Data. - Bahavathy Kathirgamanathan; Cillian Buckley; Brian Caulfield 001; Pádraig Cunningham (ICPRAI (1), 2022)

An empirical evaluation of kernels for time series. - Mourtadha Badiane; Pádraig Cunningham (Artif. Intell. Rev., 2022)

k-Nearest Neighbour Classifiers - A Tutorial. - Pádraig Cunningham; Sarah Jane Delany (ACM Comput. Surv., 2022)

Detecting voids in 3D printing using melt pool time series data. - Vivek Mahato; Muhannad Ahmed Obeidi; Dermot Brabazon; Pádraig Cunningham (J. Intell. Manuf., 2022)

Using Pareto simulated annealing to address algorithmic bias in machine learning. - William Blanzeisky; Pádraig Cunningham (Knowl. Eng. Rev., 2022)

Personalized Weighted AdaBoost for Animal Behavior Recognition from Sensor Data. - Oshana Dissanayake; Sarah McPherson; Joseph Allyndree; Emer Kennedy; Pádraig Cunningham; Lucile Riaboff (AICS, 2023)

Social Network Analysis of Irish Covid-19 Interactions on Telegram. - Andreea-Clara Pricopi; Pádraig Cunningham (AICS, 2023)

Towards Globalised Models for Exercise Classification using Inertial Measurement Units. - Bahavathy Kathirgamanathan; Brian Caulfield 001; Pádraig Cunningham (BSN, 2023)

Addressing Underestimation Bias in CBR Through Case-Base Maintenance. - William Blanzeisky; Pádraig Cunningham (ICCBR, 2023)

Explaining Fatigue in Runners Using Time Series Analysis on Wearable Sensor Data. - Bahavathy Kathirgamanathan; Thu Trang Nguyen; Brian Caulfield 001; Georgiana Ifrim; Pádraig Cunningham (PKDD/ECML Workshops (3), 2023)

Evaluating ROCKET and Catch22 features for calf behaviour classification from accelerometer data using Machine Learning models. - Oshana Dissanayake; Sarah E. McPherson; Joseph Allyndree; Emer Kennedy; Padraig Cunningham; Lucile Riaboff (CoRR, 2024)

Development of a digital tool for monitoring the behaviour of pre-weaned calves using accelerometer neck-collars. - Oshana Dissanayake; Sarah McPherson; Joseph Allyndree; Emer Kennedy; Pádraig Cunningham; Lucile Riaboff (CoRR, 2024)

An Analysis of the Impact of Gold Open Access Publications in Computer Science. - Padraig Cunningham; Barry Smyth (CoRR, 2024)

A Comparison of Deep Learning and Established Methods for Calf Behaviour Monitoring. - Oshana Dissanayake; Lucile Riaboff; Sarah E. McPherson; Emer Kennedy; Pádraig Cunningham (CoRR, 2024)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification. - Oshana Dissanayake; Sarah E. McPherson; Joseph Allyndree; Emer Kennedy; Padraig Cunningham; Lucile Riaboff (CoRR, 2024)

Accelerometer-Based Multivariate Time-Series Dataset for Calf Behavior Classification. - Oshana Dissanayake; Sarah E. McPherson; Joseph Allyndree; Emer Kennedy; Padraig Cunningham; Lucile Riaboff (Zenodo, 2024)