Multi-Label Classification: An overview G Tsoumakas, I Katakis International Journal of Data Warehousing & Mining 3 (3), 1-13, 2007 | 3654 | 2007 |
Mining multi-label data G Tsoumakas, I Katakis, I Vlahavas Data mining and knowledge discovery handbook, 667-685, 2010 | 2106 | 2010 |
Random k-labelsets for multilabel classification G Tsoumakas, I Katakis, I Vlahavas Knowledge and Data Engineering, IEEE Transactions on 23 (7), 1079-1089, 2011 | 1091 | 2011 |
Effective and efficient multilabel classification in domains with large number of labels G Tsoumakas, I Katakis, I Vlahavas Proc. ECML/PKDD 2008 Workshop on Mining Multidimensional Data (MMD’08), 30-44, 2008 | 570 | 2008 |
Multilabel text classification for automated tag suggestion I Katakis, G Tsoumakas, I Vlahavas ECML PKDD discovery challenge 75, 2008 | 479 | 2008 |
Tracking recurring contexts using ensemble classifiers: an application to email filtering I Katakis, G Tsoumakas, I Vlahavas Knowledge and Information Systems 22 (3), 371-391, 2010 | 280 | 2010 |
Dynamic feature space and incremental feature selection for the classification of textual data streams I Katakis, G Tsoumakas, I Vlahavas Knowledge Discovery from Data Streams, 107-116, 2006 | 141 | 2006 |
An adaptive personalized news dissemination system I Katakis, G Tsoumakas, E Banos, N Bassiliades, I Vlahavas Journal of Intelligent Information Systems 32 (2), 191-212, 2009 | 115 | 2009 |
Detecting Events in Online Social Networks: Definitions, Trends and Challenges N Panagiotou, I Katakis, D Gunopulos Solving Large Scale Learning Tasks. Challenges and Algorithms, 42-84, 2016 | 106 | 2016 |
Effective voting of heterogeneous classifiers G Tsoumakas, I Katakis, I Vlahavas European Conference on Machine Learning, 465-476, 2004 | 98 | 2004 |
An ensemble of classifiers for coping with recurring contexts in data streams I Katakis, G Tsoumakas, I Vlahavas ECAI 2008, 763-764, 2008 | 97 | 2008 |
A review of multi-label classification methods G Tsoumakas, I Katakis, I Vlahavas Proceedings of the 2nd ADBIS Workshop on Data Mining and Knowledge Discovery …, 2006 | 81 | 2006 |
On the utility of incremental feature selection for the classification of textual data streams I Katakis, G Tsoumakas, I Vlahavas Advances in Informatics, 338-348, 2005 | 74 | 2005 |
Social voting advice applications—definitions, challenges, datasets and evaluation I Katakis, N Tsapatsoulis, F Mendez, V Triga, C Djouvas Cybernetics, IEEE Transactions on 44 (7), 1039-1052, 2014 | 62 | 2014 |
Social voting advice applications—definitions, challenges, datasets and evaluation I Katakis, N Tsapatsoulis, F Mendez, V Triga, C Djouvas IEEE Transactions on cybernetics 44 (7), 1039-1052, 2013 | 62 | 2013 |
Ensemble pruning using reinforcement learning I Partalas, G Tsoumakas, I Katakis, I Vlahavas Advances in Artificial Intelligence, 301-310, 2006 | 62 | 2006 |
On the Combination of Textual and Semantic Descriptions for Automated Semantic Web Service Classification I Katakis, G Meditskos, G Tsoumakas, N Bassiliades Artificial Intelligence Applications and Innovations III, 95-104, 2009 | 56 | 2009 |
Intelligent Urban Data Monitoring for Smart Cities N Panagiotou, N Zygouras, I Katakis, D Gunopulos, N Zacheilas, I Boutsis, ... Joint European Conference on Machine Learning and Knowledge Discovery in …, 2016 | 52 | 2016 |
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 |
PersoNews: a personalized news reader enhanced by machine learning and semantic filtering E Banos, I Katakis, N Bassiliades, G Tsoumakas, I Vlahavas On the Move to Meaningful Internet Systems 2006: CoopIS, DOA, GADA, and …, 2006 | 44 | 2006 |