| Learning in a pairwise term-term proximity framework for information retrieval R Cummins, C O'Riordan Proceedings of the 32nd international ACM SIGIR conference on Research and …, 2009 | 73 | 2009 |
| Evolving local and global weighting schemes in information retrieval R Cummins, C O’Riordan Information Retrieval 9 (3), 311-330, 2006 | 57 | 2006 |
| Evaluating aggregated search pages K Zhou, R Cummins, M Lalmas, JM Jose Proceedings of the 35th international ACM SIGIR conference on Research and …, 2012 | 48 | 2012 |
| Improved query performance prediction using standard deviation R Cummins, J Jose, C O'Riordan Proceedings of the 34th international ACM SIGIR conference on Research and …, 2011 | 45 | 2011 |
| Constrained multi-task learning for automated essay scoring R Cummins, M Zhang, E Briscoe Association for Computational Linguistics, 2016 | 33 | 2016 |
| Evolving general term-weighting schemes for information retrieval: Tests on larger collections R Cummins, C O’riordan Artificial Intelligence Review 24 (3-4), 277-299, 2005 | 31 | 2005 |
| A Pólya urn document language model for improved information retrieval R Cummins, JH Paik, Y Lv ACM Transactions on Information Systems (TOIS) 33 (4), 1-34, 2015 | 30 | 2015 |
| Which vertical search engines are relevant? K Zhou, R Cummins, M Lalmas, JM Jose Proceedings of the 22nd international conference on World Wide Web, 1557-1568, 2013 | 26 | 2013 |
| An axiomatic comparison of learned term-weighting schemes in information retrieval: clarifications and extensions R Cummins, C O’Riordan Artificial Intelligence Review 28 (1), 51-68, 2007 | 25 | 2007 |
| Sentence similarity measures for fine-grained estimation of topical relevance in learner essays M Rei, R Cummins arXiv preprint arXiv:1606.03144, 2016 | 23 | 2016 |
| Evaluating the performance of automated text scoring systems H Yannakoudakis, R Cummins Proceedings of the Tenth Workshop on Innovative Use of NLP for Building …, 2015 | 18 | 2015 |
| Quantifying the association between psychotherapy content and clinical outcomes using deep learning MP Ewbank, R Cummins, V Tablan, S Bateup, A Catarino, AJ Martin, ... JAMA psychiatry 77 (1), 35-43, 2020 | 17 | 2020 |
| Assessing and predicting vertical intent for web queries K Zhou, R Cummins, M Halvey, M Lalmas, JM Jose European Conference on Information Retrieval, 499-502, 2012 | 17 | 2012 |
| Evolved term-weighting schemes in information retrieval: an analysis of the solution space R Cummins, C O’Riordan Artificial Intelligence Review 26 (1), 35-47, 2006 | 17 | 2006 |
| Document score distribution models for query performance inference and prediction R Cummins ACM Transactions on Information Systems (TOIS) 32 (1), 1-28, 2014 | 16 | 2014 |
| The evolution and analysis of term-weighting schemes in information retrieval R Cummins National University of Ireland, 2008 | 16 | 2008 |
| Predicting query performance directly from score distributions R Cummins Asia Information Retrieval Symposium, 315-326, 2011 | 15 | 2011 |
| Evaluating large-scale distributed vertical search K Zhou, R Cummins, M Lalmas, J Jose Proceedings of the 9th Workshop on Large-scale and Distributed Informational …, 2011 | 15 | 2011 |
| On the reliability and intuitiveness of aggregated search metrics K Zhou, M Lalmas, T Sakai, R Cummins, JM Jose Proceedings of the 22nd ACM international conference on Information …, 2013 | 14 | 2013 |
| A constraint to automatically regulate document-length normalisation R Cummins, C O'Riordan Proceedings of the 21st ACM international conference on Information and …, 2012 | 14 | 2012 |
Colm O'RiordanNUI, GalwayBestätigte E-Mail-Adresse bei nuigalway.ie
