Researcher

Pádraig Cunningham

Also known as Padraig Cunningham

Pádraig Cunningham is a machine-learning researcher whose work covers classifier ensembles, case-based reasoning, nearest-neighbour methods and the analysis of social networks. After industry posts at Digital Equipment Corporation and Hitachi Europe, he joined Trinity College Dublin as a lecturer in 1992, became a Fellow of ECCAI in 2004, and moved to University College Dublin as a full professor in 2006. In 2000, he published a paper with John Carney on diversity in classification ensembles; in 2009, he led Science Foundation Ireland's Clique research cluster; and in 2010, he coauthored a paper on tracking communities in dynamic social networks. With Sarah Jane Delany, he posted the second edition of a k-nearest neighbour classifier tutorial in 2020. He works in the School of Computer Science at University College Dublin, where a 2025 preprint with Barry Smyth examines the growth of review papers and the spread of generative AI in research writing.

Works
373
Citations
13,768
h-index
58

Publication numbers from OpenAlex, as of 22 October 2026.

Timeline

  1. 1992–2006

    Lecturer at Trinity College Dublin

    He holds a B.E. and an M.Eng.Sci. from NUI Galway and a Ph.D. from Dublin University, then works at Digital Equipment Corporation as a software engineer and at Hitachi Europe as a research scientist. He joins Trinity College Dublin as a lecturer in 1992 and is promoted to senior lecturer and then associate professor before leaving in 2006.

  2. 2000

    Diversity in classification ensembles

    In 2000, he and John Carney publish a paper at the European Conference on Machine Learning on classification ensembles built with feature subset selection. It proposes an entropy measure of the outputs of the ensemble members to monitor ensemble diversity and tests it on a medical prediction problem.

  3. 2004

    ECCAI Fellow and PAIS chair

    He becomes a Fellow of ECCAI, the European Coordinating Committee on Artificial Intelligence, in 2004, and serves as programme chair of PAIS 2004, the Prestigious Applications of Intelligent Systems track of ECAI. EurAI lists him among its current Fellows.

  4. 2005

    Case-based spam filtering

    In 2005, he coauthors a paper with Sarah Jane Delany and Dónal Doyle on generating estimates of classification confidence for a case-based spam filter, published in the proceedings of the 6th International Conference on Case-Based Reasoning.

  5. 2006–2009

    Professor at UCD, leading Clique

    He moves to University College Dublin in 2006 to take up a full professorship in the School of Computer Science and Informatics. In 2009, he leads Clique, a Science Foundation Ireland Strategic Research Cluster funded with €3.56 million, in which a team from UCD and NUI Galway works with IBM, Idiro Technologies and Norkom Technologies on techniques for analysing customer and user networks.

  6. 2010

    Tracking communities in dynamic networks

    In 2010, he coauthors a paper with Dónal Doyle and Derek Greene for the ASONAM'10 conference on tracking the evolution of communities in dynamic social networks. It describes a model in which each community is characterised by a series of evolutionary events, and applies the tracking strategy to monthly call graphs of mobile operator networks with millions of subscribers.

  7. 2020

    A tutorial on nearest neighbours

    In 2020, he and Sarah Jane Delany post the second edition of their tutorial on k-nearest neighbour classifiers on arXiv. It surveys similarity measures, the computational cost of finding neighbours and dimension reduction, and adds sections on time-series similarity, retrieval speed-up and intrinsic dimensionality along with Python code.

  8. November 2025

    A study of review papers

    In November 2025, he and Barry Smyth, both in the School of Computer Science at University College Dublin, release the preprint "Have we reached the beginning of the end for review papers?" It reports rapid growth in review papers, a declining citation advantage and a stronger generative-AI signal in review papers than in primary research papers.

Career

  1. 2015–2018Insight SFI Research Centre for Data Analytics
  2. 2006–2026University College DublinFull Professor
  3. Until 1992Digital Equipment CorporationSoftware Engineer
  4. Until 1992Hitachi EuropeResearch Scientist
  5. 1992–2006Trinity College DublinLecturer, Senior Lecturer and Associate Professor

Education

  1. National University of Ireland, GalwayB.E. and M.Eng.Sci.
  2. Trinity College DublinPh.D.

Most-cited works

  1. k-Nearest Neighbour Classifiers - A Tutorial2021 · ACM Computing Surveys · 955 citations
  2. Practical solutions to the problem of diagonal dominance in kernel document clustering2006 · International Conference on Machine Learning · 646 citations
  3. Tracking the Evolution of Communities in Dynamic Social Networks2010 · IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) · 554 citations
  4. k-Nearest Neighbour Classifiers2007 · 542 citations
  5. Supervised Learning2008 · Springer eBooks · 453 citations

Sources and credits

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  1. Prof. Pádraig Cunningham | The Insight Centre for Data Analytics web.archive.org. Checked 20 October 2026.
  2. Pádraig Cunningham - UCD Centre for Digital Policy web.archive.org. Checked 20 October 2026.
  3. Diversity Versus Quality in Classification Ensembles Based on Feature Selection | ML Anthology mlanthology.org. Checked 20 October 2026.
  4. Awards | European Association for Artificial Intelligence eurai.org. Checked 20 October 2026.
  5. Generating Estimates of Classification Confidence for a Case-Based Spam Filter research.google. Checked 20 October 2026.
  6. UCD News - Data analytics offers commercial and employment opportunities - UCD Clique wins SFI strategic research cluster funding of €3.56 million ucd.ie. Checked 20 October 2026.
  7. Tánaiste Announces Establishment of Five New Science Foundation Ireland 'Strategic Research Clusters' - University of Galway universityofgalway.ie. Checked 20 October 2026.
  8. Tracking the Evolution of Communities in Dynamic Social Networks research.google. Checked 20 October 2026.
  9. k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples) arxiv.org. Checked 20 October 2026.
  10. Have we reached the beginning of the end for review papers? arxiv.org. Checked 20 October 2026.