List of publications. See also Google Scholar Profile.

  • M. Qureshi and D. Greene, “Lit@EVE: Explainable Recommendation based on Wikipedia Concept Vectors,” in Proc. European Conference on Machine Learning (ECML’17), 2017. [PDF] [BibTeX]
  • G. Conheady and D. Greene, “Weak Supervision for Semi-Supervised Topic Modeling via Word Embeddings,” in Proc. Language, Data, and Knowledge: First International Conference (LDK’2017), 2017. [PDF] [BibTeX]
  • S. Grayson, M. Mulvany, K. Wade, G. Meaney, and D. Greene, “Exploring the Role of Gender in 19th Century Fiction Through the Lens of Word Embeddings,” in Language, Data, and Knowledge: First International Conference (LDK’2017), 2017. [PDF] [BibTeX]
  • D. Greene and J.P. Cross, “Exploring the Political Agenda of the European Parliament Using a Dynamic Topic Modeling Approach,” Political Analysis, 2017. [PDF] [BibTeX]

  • M. Qureshi, A. Younus, and D. Greene, “TwitterCracy: Exploratory Monitoring of Twitter Streams for the 2016 U.S. Presidential Election Cycle,” in Proc. European Conference on Machine Learning (ECML’16), 2016. [PDF] [BibTeX]

  • E. Mlynarska, D. Greene, and P. Cunningham, “Time Series Clustering of Moodle Activity Data,” in Proc. 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16), 2016. [PDF] [BibTeX]

  • A. Pakrashi, D. Greene, and B. Namee, “Benchmarking Multi-label Classification Algorithms,” in Proc. 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16), 2016. [PDF] [BibTeX]

  • M. Belford, B. Namee, and D. Greene, “Ensemble Topic Modeling via Matrix Factorization,” in Proc. 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16), 2016. [PDF] [BibTeX]

  • M. Qureshi and D. Greene, “An Investigation into Information Navigation via Diverse Keyword-based Facets,” in Proc. 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16), 2016. [PDF] [BibTeX]

  • I. Brigadir, D. Greene, J.P. Cross, and P. Cunningham, “Dimensionality Reduction and Visualisation Tools for Voting Records,” in Proc. 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16), 2016. [PDF] [BibTeX]

  • S. Grayson, M. Mulvany, K. Wade, G. Meaney, and D. Greene, “Novel2Vec: Characterising 19th Century Fiction via Word Embeddings,” in Proc. 24th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’16), 2016. [PDF] [BibTeX]

  • J.P. Cross, M. Belford, and D. Greene, “Tweeting Europe: A text-analytic approach to unveiling the content of Twitter activities of the Members of the European Parliament,” in 5th Annual General Conference of the European Political Science Association (EPSA’16), 2016. [PDF] [BibTeX]

  • S. Grayson, K. Wade, G. Meaney, and D. Greene, “The Sense and Sensibility of Different Sliding Windows in Constructing Co-occurrence Networks from Literature,” in Proc. 2nd International Workshop on Computational History and Data-Driven Humanities, 2016. [PDF] [BibTeX]

  • E. Mlynarska, D. Greene, and P. Cunningham, “Time Series Analysis of VLE Activity Data,” in Proc. 9th International Conference on Educational Data Mining (EDM’16), 2016. [PDF] [BibTeX]

  • S. Grayson, J. Rothwell, M. Mulvany, K. Wade, G. Meaney, and D. Greene, “Discovering Structure in Social Networks of 19th Century Fiction,” in Proc. ACM Web Science 2016, 2016. [PDF] [BibTeX]

  • C. Orellana-Rodriguez, D. Greene, and M. Keane, “Spreading the News: How Can Journalists Gain More Engagement for Their Tweets?,” in Proc. ACM Web Science 2016, 2016. [PDF] [BibTeX]

  • I. Brigadir, D. Greene, and P. Cunningham, “Detecting Attention Dominating Moments Across Media Types,” in Proc. 1st International Workshop on Recent Trends in News Information Retrieval (NewsIR’16) at ECIR’16, 2016. [PDF] [BibTeX]

  • X. Qin, D. Greene, and P. Cunningham, “A Latent Space Analysis of Editor Lifecycles in Wikipedia,” in Big Data Analytics in the Social and Ubiquitous Context, Springer, 2016. [PDF] [BibTeX]

  • P. Leydon, F. Sullivan, F. Jamaluddin, P. Woulfe, D. Greene, and K. Curran, “Machine Learning in Prediction of Prostate Brachytherapy Rectal Dose Classes at Day 30,” in Proc. 17th Irish Machine Vision and Image Processing conference, 2015. [PDF] [BibTeX]

  • D. Greene and J.P. Cross, “Exploring the political agenda of the European Parliament using a dynamic topic modelling approach,” in 5th Annual General Conference of the European Political Science Association (EPSA’15), 2015. [BibTeX]

  • I. Brigadir, D. Greene, and P. Cunningham, “Analyzing Discourse Communities with Distributional Semantic Models,” in Proc. ACM Web Science 2015, 2015. [PDF] [BibTeX]

  • D. Greene and J.P. Cross, “Unveiling the Political Agenda of the European Parliament Plenary: A Topical Analysis,” in Proc. ACM Web Science 2015, 2015. [PDF] [BibTeX]

  • D. O’Callaghan, D. Greene, J. Carthy, and P. Cunningham, “An Analysis of the Coherence of Descriptors in Topic Modeling,” Expert Systems with Applications (ESWA), 2015. [PDF] [BibTeX]

  • D. Fitzpatrick, C. Ryan, N. Shah, D. Greene, C. Molony, and D. Shields, “Genome-wide epistatic expression quantitative trait loci discovery in four human tissues reveals the importance of local chromosomal interactions governing gene expression,” BMC Genomics, BioMed Central Ltd, 2015. [PDF] [BibTeX]

  • J.P. Cross and D. Greene, “Tracking information flows in the Council of the European Union: A social network analysis,” in 5th Annual General Conference of the European Political Science Association (EPSA’15), 2015. [BibTeX]

  • D. O’Callaghan, D. Greene, M. Conway, J. Carthy, and P. Cunningham, “Down the (White) Rabbit Hole: The Extreme Right and Online Recommender Systems,” Social Science Computer Review, 2014. [PDF] [BibTeX]

  • I. Brigadir, D. Greene, and P. Cunningham, “Adaptive Representations for Tracking Breaking News on Twitter,” in NewsKDD - Workshop on Data Science for News Publishing at KDD 2014, 2014. [PDF] [BibTeX]

  • D. Greene, D. O’Callaghan, and P. Cunningham, “How Many Topics? Stability Analysis for Topic Models,” in Proc. European Conference on Machine Learning (ECML’14), 2014. [PDF] [BibTeX]

  • D. O’Callaghan, N. Prucha, D. Greene, M. Conway, J. Carthy, and P. Cunningham, “Online Social Media in the Syria Conflict: Encompassing the Extremes and the In-Betweens,” in Proc. International Conference on Advances in Social Networks Analysis and Mining (ASONAM’14), 2014. [PDF] [BibTeX]

  • I. Brigadir, D. Greene, P. Cunningham, and G. Sheridan, “Real Time Event Monitoring with Trident,” in Proc. Workshop on Real-World Challenges for Data Stream Mining (RealStream) at ECML 2013, 2013. [PDF] [BibTeX]

  • I. Hulpus, C. Hayes, M. Karnstedt, D. Greene, and M. Jozwowicz, “Kanopy: Analysing the Semantic Network around Document Topics,” in Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’13), 2013. [PDF] [BibTeX]

  • D. O’Callaghan, D. Greene, M. Conway, J. Carthy, and P. Cunningham, “Uncovering the Wider Structure of Extreme Right Communities Spanning Popular Online Networks,” in Proc. ACM Web Science 2013, 2013. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “Producing a Unified Graph Representation from Multiple Social Network Views,” in Proc. ACM Web Science 2013, 2013. [PDF] [BibTeX]

  • I. Hulpus, C. Hayes, M. Karnstedt, and D. Greene, “Unsupervised Graph-Based Topic Labelling using DBpedia,” in Proc. 6th ACM International Conference on Web Search and Data Mining (WSDM’13), 2013. [PDF] [BibTeX]

  • I. Hulpus, C. Hayes, M. Karnstedt, and D. Greene, “An Eigenvalue-Based Measure for Word-Sense Disambiguation,” in Proc. Twenty-Fifth International FLAIRS Conference, 2012. [PDF] [BibTeX]

  • I. Brigadir, D. Greene, and P. Cunningham, “A System for Twitter User List Curation,” in Proc. 6th ACM Conference on Recommender Systems (RecSys’12), 2012. [PDF] [BibTeX]

  • S. Delany, M. Buckley, and D. Greene, “SMS Spam Filtering,” Expert Systems with Applications, Pergamon Press, Inc., 2012. [PDF] [BibTeX]

  • D. Greene, D. O’Callaghan, and P. Cunningham, “Identifying Topical Twitter Communities via User List Aggregation,” in Proc. 2nd International Workshop on Mining Communities and People Recommenders (COMMPER 2012) at ECML 2012, 2012. [PDF] [BibTeX]

  • D. Greene, G. Sheridan, B. Smyth, and P. Cunningham, “Aggregating Content and Network Information to Curate Twitter User Lists,” in Proc. 4th ACM RecSys Workshop on Recommender Systems & The Social Web, 2012. [PDF] [BibTeX]

  • D. O’Callaghan, D. Greene, M. Conway, J. Carthy, and P. Cunningham, “An Analysis of Interactions Within and Between Extreme Right Communities in Social Media,” in Proc. 3rd International Workshop on Mining Ubiquitous and Social Environments (MUSE) at ECML 2012, 2012. [PDF] [BibTeX]

  • C. Ryan, A. Roguev, K. Patrick, J. Xu, H. Jahari, Z. Tong, P. Beltrao, M. Shales, H. Qu, S. Collins, J. Kliegman, L. Jiang, D. Kuo, E. Tosti, H. Kim, W. Edelmann, M. Keogh, D. Greene, C. Tang, P. Cunningham, K. Shokat, G. Cagney, P. Svensson, C. Guthrie, P. Espenshade, T. Ideker, and N. Krogan, “Hierarchical Modularity and the Evolution of Genetic Interactomes across Species,” Mol Cell, 2012. [PDF] [BibTeX]

  • A. McDaid, D. Greene, and N. Hurley, “Normalized Mutual Information to evaluate overlapping community finding algorithms,” ArXiv e-prints, 2012. [PDF] [BibTeX]

  • D. Archambault, D. Greene, P. Cunningham, and N. Hurley, “ThemeCrowds: Multiresolution Summaries of Twitter Usage,” in Proc. 3rd International Workshop on Search and Mining User-generated Content (SMUC’11), 2012. [PDF] [BibTeX]

  • A. Brew, D. Greene, D. Archambault, and P. Cunningham, “Deriving Insights from National Happiness Indices,” in Proc. ICDM 2011 Workshop on Sentiment Elicitation from Natural Text for Information Retrieval and Extraction (SENTIRE), 2011. [PDF] [BibTeX]

  • D. Greene, F. Reid, G. Sheridan, and P. Cunningham, “Supporting the Curation of Twitter User Lists,” in 2nd Workshop on Computational Social Science and the Wisdom of Crowds at NIPS 2011, 2011. [PDF] [BibTeX]

  • C. Lee, D. Greene, and P. Cunningham, “Detecting Grand Tours of Europe with Geo-Tags,” in 2nd Workshop on Computational Social Science and the Wisdom of Crowds at NIPS 2011, 2011. [PDF] [BibTeX]

  • C. Ryan, G. Cagney, N. Krogan, P. Cunningham, and D. Greene, “Imputing and Predicting Quantitative Genetic Interactions in Epistatic MAPs,” in Network Biology, Methods in Molecular Biology, Humana Press, 2011. [PDF] [BibTeX]

  • C. Ryan, D. Greene, G. Cagney, A. Guenole, H. Attikum, N. Krogan, and P. Cunningham, “Improved functional overview of protein complexes using inferred epistatic relationships,” BMC Systems Biology, 2011. [PDF] [BibTeX]

  • K. Wade, D. Greene, C. Lee, D. Archambault, and P. Cunningham, “Identifying Representative Textual Sources in Blog Networks,” in Proc. 5th International AAAI Conference on Weblogs and Social Media (ICWSM’11), 2011. [PDF] [BibTeX]

  • A. Brew, D. Greene, and P. Cunningham, “Using Crowdsourcing and Active Learning to Track Sentiment in Online Media,” in Proc. the 19th European Conference on Artificial Intelligence (ECAI 2010), 2010. [PDF] [BibTeX]

  • A. Brew, D. Greene, and P. Cunningham, “Taking the Pulse of the Web: Assessing Sentiment on Topics in Online Media,” in Proc. the WebSci10: Extending the Frontiers of Society On-Line, 2010. [PDF] [BibTeX]

  • K. Foley, D. Greene, and P. Cunningham, “Optimizing Conflicting Objectives in NMF Using Pareto Simulated Annealing,” in Proc. 21st Irish Conference on Artificial Intelligence and Cognitive Science (AICS’10), 2010. [BibTeX]

  • D. Greene, J. Freyne, B. Smyth, and P. Cunningham, “An Analysis of Current Trends in CBR Research Using Multi-View Clustering,” AI Magazine, 2010. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “Spectral Co-Clustering for Dynamic Bipartite Graphs,” in Workshop on Dynamic Networks and Knowledge Discovery (DyNAK’10), 2010. [PDF] [BibTeX]

  • D. Greene, D. Doyle, and P. Cunningham, “Tracking the evolution of communities in dynamic social networks,” in Proc. International Conference on Advances in Social Networks Analysis and Mining (ASONAM’10), 2010. [PDF] [BibTeX]

  • C. Ryan, D. Greene, G. Cagney, and P. Cunningham, “Missing value imputation for epistatic MAPs,” BMC Bioinformatics, 2010. [PDF] [BibTeX]

  • G. Wu, D. Greene, and P. Cunningham, “Merging Multiple Criteria to Identify Suspicious Reviews,” in Proc. 4th ACM Conference on Recommender Systems (RecSys’10), 2010. [PDF] [BibTeX]

  • G. Wu, D. Greene, B. Smyth, and P. Cunningham, “Distortion as a Validation Criterion in the Identification of Suspicious Reviews,” in 1st Workshop on Social Media Analytics (SOMA’10), 2010. [PDF] [BibTeX]

  • A. Narasimhamurthy, D. Greene, N. Hurley, and P. Cunningham, “Partitioning Large Networks Without Breaking Communities,” Knowledge and Information Systems, 2009. [PDF] [BibTeX]

  • A. Brew, D. Greene, and P. Cunningham, “A Machine Learning System for Tracking Sentiment in Irish Economic News,” in Proc. 20th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’09), 2009. [BibTeX]

  • D. Greene and P. Cunningham, “Multi-view clustering for mining heterogeneous social network data,” in Workshop on Information Retrieval over Social Networks, 31st European Conference on Information Retrieval (ECIR’09), 2009. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “A Matrix Factorization Approach for Integrating Multiple Data Views,” in Proc. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD’09), 2009. [PDF] [BibTeX]

  • D. Greene, K. Bryan, and P. Cunningham, “Parallel Integration of Heterogeneous Genome-Wide Data Sources,” in Proc. 8th International Conference on BioInformatics and BioEngineering (BIBE’08), 2008. [PDF] [BibTeX]

  • A. Narasimhamurthy, D. Greene, N. Hurley, and P. Cunningham, “Community Finding in Large Social Networks Through Problem Decomposition,” in Proc. 19th Irish Conference on Artificial Intelligence and Cognitive Science (AICS’08), 2008. [PDF] [BibTeX]

  • D. Greene, J. Freyne, B. Smyth, and P. Cunningham, “An Analysis of Research Themes in the CBR Conference Literature,” in Proc. 9th European Conference on Case-Based Reasoning (ECCBR’08), 2008. [PDF] [BibTeX]

  • D. Greene, P. Cunningham, and R. Mayer, “Unsupervised Learning and Clustering,” in Machine Learning Techniques for Multimedia: Case Studies on Organization and Retrieval, Springer, 2008. [PDF] [BibTeX]

  • D. Greene, G. Cagney, N. Krogan, and P. Cunningham, “Ensemble Non-negative Matrix Factorization Methods for Clustering Protein-Protein Interactions,” Bioinformatics, 2008. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “Constraint Selection by Committee: An Ensemble Approach to Identifying Informative Constraints for Semi-Supervised Clustering,” in Proc. 18th European Conference on Machine Learning (ECML’07), 2007. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “Efficient Prediction-Based Validation for Document Clustering,” in Proc. 17th European Conference on Machine Learning (ECML’06), 2006. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “Practical Solutions to the Problem of Diagonal Dominance in Kernel Document Clustering,” in Proc. 23rd International Conference on Machine learning (ICML’06), 2006. [PDF] [BibTeX]

  • D. Greene and P. Cunningham, “Producing Accurate Interpretable Clusters from High-Dimensional Data,” in Proc. 9th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD’05), 2005. [PDF] [BibTeX]

  • D. Greene, A. Tsymbal, N. Bolshakova, and P. Cunningham, “Ensemble Clustering in Medical Diagnostics,” in Proc. 17th IEEE Symposium on Computer-Based Medical Systems (CBMS’04), 2004. [PDF] [BibTeX]

  • D. Greene and D. O’Mahony, “Instant Messaging and Presence Management in Mobile Ad-Hoc Networks,” in Proc. 2nd IEEE Annual Conference on Pervasive Computing and Communications Workshops (PERCOMW’04), 2004. [PDF] [BibTeX]