| An overview of the BIOASQ large-scale biomedical semantic indexing and question answering competition G Tsatsaronis, G Balikas, P Malakasiotis, I Partalas, M Zschunke, ... BMC bioinformatics 16 (1), 138, 2015 | 845 | 2015 |
| Evaluation Measures for Hierarchical Classification: a unified view and novel approaches A Kosmopoulos, I Partalas, E Gaussier, G Paliouras, I Androutsopoulos Data Mining and Knowledge Discovery, Springer, 2013 | 245 | 2013 |
| Lshtc: A benchmark for large-scale text classification I Partalas, A Kosmopoulos, N Baskiotis, T Artieres, G Paliouras, ... arXiv preprint arXiv:1503.08581, 2015 | 223 | 2015 |
| An ensemble pruning primer G Tsoumakas, I Partalas, I Vlahavas Applications of supervised and unsupervised ensemble methods, 1-13, 2009 | 199 | 2009 |
| An ensemble uncertainty aware measure for directed hill climbing ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Machine Learning 81 (3), 257-282, 2010 | 143 | 2010 |
| A taxonomy and short review of ensemble selection G Tsoumakas, I Partalas, I Vlahavas Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008 | 124 | 2008 |
| Focused ensemble selection: A diversity-based method for greedy ensemble selection I Partalas, G Tsoumakas, I Vlahavas ECAI 2008, 117-121, 2008 | 120 | 2008 |
| Pruning an ensemble of classifiers via reinforcement learning I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 72 (7-9), 1900-1909, 2009 | 112 | 2009 |
| On flat versus hierarchical classification in large-scale taxonomies R Babbar, I Partalas, E Gaussier, MR Amini Advances in neural information processing systems 26, 2013 | 99 | 2013 |
| Transfer Learning in Multi-agent Reinforcement Learning Domains G Boutsioukis, I Partalas, I Vlahavas | 96 | 2012 |
| Greedy regression ensemble selection: Theory and an application to water quality prediction I Partalas, G Tsoumakas, EV Hatzikos, I Vlahavas Information Sciences 178 (20), 3867-3879, 2008 | 86 | 2008 |
| Ensemble pruning using reinforcement learning I Partalas, G Tsoumakas, I Katakis, I Vlahavas Hellenic Conference on Artificial Intelligence, 301-310, 2006 | 67 | 2006 |
| Modern applications of machine learning G Tzanis, I Katakis, I Partalas, I Vlahavas Proceedings of the 1st Annual SEERC Doctoral Student Conference–DSC 1 (1), 1-10, 2006 | 57 | 2006 |
| BioASQ: a challenge on large-scale biomedical semantic indexing and question answering G Balikas, A Krithara, I Partalas, G Paliouras Multimodal Retrieval in the Medical Domain: First International Workshop …, 2015 | 52 | 2015 |
| Learning taxonomy adaptation in large-scale classification R Babbar, I Partalas, E Gaussier, MR Amini, C Amblard Journal of Machine Learning Research 17 (98), 1-37, 2016 | 42 | 2016 |
| Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013 | 39 | 2013 |
| A study on greedy algorithms for ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012 | 38 | 2012 |
| Results of the BioASQ Track of the Question Answering Lab at CLEF 2014. G Balikas, I Partalas, ACN Ngomo, A Krithara, G Paliouras CLEF (Working Notes), 1181-1193, 2014 | 37 | 2014 |
| Evaluation framework specifications G Balikas, I Partalas, A Kosmopoulos, S Petridis, P Malakasiotis, ... Project deliverable D 4, 2013 | 33 | 2013 |
| Results of the BioASQ tasks of the Question Answering Lab at CLEF 2015 G Balikas, A Kosmopoulos, A Krithara, G Paliouras, I Kakadiaris CLEF 2015, 2015 | 32 | 2015 |
Eric GaussierProfessor Univ. Grenoble AlpesVerified email at imag.fr
