Multi-label classification: An overview G Tsoumakas, I Katakis International Journal of Data Warehousing and Mining (IJDWM) 3 (3), 1-13, 2007 | 3639 | 2007 |
Mining multi-label data G Tsoumakas, I Katakis, I Vlahavas Data mining and knowledge discovery handbook, 667-685, 2010 | 2105 | 2010 |
Random k-Labelsets: An Ensemble Method for Multilabel Classification G Tsoumakas, I Vlahavas European conference on machine learning, 406-417, 2007 | 1287 | 2007 |
Random k-labelsets for multi-label classification G Tsoumakas, I Katakis, I Vlahavas IEEE Transactions on Knowledge and Data Engineering 23 (7), 1079-1089, 2010 | 1087 | 2010 |
Multi-label classification of music into emotions. K Trohidis, G Tsoumakas, G Kalliris, IP Vlahavas ISMIR 8, 325-330, 2008 | 1062 | 2008 |
Mulan: A java library for multi-label learning G Tsoumakas, E Spyromitros-Xioufis, J Vilcek, I Vlahavas The Journal of Machine Learning Research 12, 2411-2414, 2011 | 954 | 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) 21, 53-59, 2008 | 570 | 2008 |
On the stratification of multi-label data K Sechidis, G Tsoumakas, I Vlahavas Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011 | 510 | 2011 |
Multilabel text classification for automated tag suggestion I Katakis, G Tsoumakas, I Vlahavas ECML PKDD discovery challenge 75, 2008, 2008 | 477 | 2008 |
Multi-target regression via input space expansion: treating targets as inputs E Spyromitros-Xioufis, G Tsoumakas, W Groves, I Vlahavas Machine Learning 104, 55-98, 2016 | 441* | 2016 |
An empirical study of lazy multilabel classification algorithms E Spyromitros, G Tsoumakas, I Vlahavas Artificial Intelligence: Theories, Models and Applications: 5th Hellenic …, 2008 | 370 | 2008 |
Protein classification with multiple algorithms S Diplaris, G Tsoumakas, PA Mitkas, I Vlahavas Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI …, 2005 | 335 | 2005 |
Tracking recurring contexts using ensemble classifiers: an application to email filtering I Katakis, G Tsoumakas, I Vlahavas Knowledge and Information Systems 22, 371-391, 2010 | 280 | 2010 |
A review of keyphrase extraction E Papagiannopoulou, G Tsoumakas Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020 | 193 | 2020 |
Correlation-based pruning of stacked binary relevance models for multi-label learning G Tsoumakas, A Dimou, E Spyromitros, V Mezaris, I Kompatsiaris, ... Proceedings of the 1st international workshop on learning from multi-label …, 2009 | 185 | 2009 |
ETHOS: a multi-label hate speech detection dataset I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas Complex & Intelligent Systems 8 (6), 4663-4678, 2022 | 172* | 2022 |
An ensemble pruning primer G Tsoumakas, I Partalas, I Vlahavas Applications of supervised and unsupervised ensemble methods, 1-13, 2009 | 172 | 2009 |
The 9th annual MLSP competition: New methods for acoustic classification of multiple simultaneous bird species in a noisy environment F Briggs, Y Huang, R Raich, K Eftaxias, Z Lei, W Cukierski, SF Hadley, ... 2013 IEEE international workshop on machine learning for signal processing …, 2013 | 166 | 2013 |
A comprehensive study over VLAD and product quantization in large-scale image retrieval E Spyromitros-Xioufis, S Papadopoulos, IY Kompatsiaris, G Tsoumakas, ... IEEE Transactions on Multimedia 16 (6), 1713-1728, 2014 | 161 | 2014 |
Data mining and knowledge discovery handbook G Tsoumakas, I Katakis, I Vlahavas Mining multi-label data, 667-85, 2010 | 147 | 2010 |