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, 1-28, 2015 | 609 | 2015 |
Lshtc: A benchmark for large-scale text classification I Partalas, A Kosmopoulos, N Baskiotis, T Artieres, G Paliouras, ... arXiv preprint arXiv:1503.08581, 2015 | 210 | 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 | 198 | 2013 |
An ensemble pruning primer G Tsoumakas, I Partalas, I Vlahavas Applications of supervised and unsupervised ensemble methods, 1-13, 2009 | 172 | 2009 |
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Machine Learning 81, 257-282, 2010 | 134 | 2010 |
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection. I Partalas, G Tsoumakas, IP Vlahavas ECAI, 117-121, 2008 | 114 | 2008 |
Pruning an ensemble of classifiers via reinforcement learning I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 72 (7-9), 1900-1909, 2009 | 111 | 2009 |
A taxonomy and short review of ensemble selection G Tsoumakas, I Partalas, I Vlahavas Workshop on Supervised and Unsupervised Ensemble Methods and Their …, 2008 | 111 | 2008 |
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 | 97 | 2013 |
Transfer Learning in Multi-agent Reinforcement Learning Domains G Boutsioukis, I Partalas, I Vlahavas | 82 | 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 | 81 | 2008 |
Ensemble pruning using reinforcement learning I Partalas, G Tsoumakas, I Katakis, I Vlahavas Advances in Artificial Intelligence: 4th Helenic Conference on AI, SETN 2006 …, 2006 | 61 | 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 | 48 | 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 | 42 | 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 | 39 | 2016 |
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 | 36 | 2014 |
A study on greedy algorithms for ensemble pruning I Partalas, G Tsoumakas, I Vlahavas Aristotle University of Thessaloniki, Thessaloniki, Greece, 2012 | 35 | 2012 |
Transferring task models in reinforcement learning agents A Fachantidis, I Partalas, G Tsoumakas, I Vlahavas Neurocomputing 107, 23-32, 2013 | 34 | 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 | 29 | 2015 |
Evaluation framework specifications G Balikas, I Partalas, A Kosmopoulos, S Petridis, P Malakasiotis, ... Project deliverable D 4, 2013 | 29 | 2013 |