Grigorios Tsoumakas
TitleCited byYear
Multi-label classification: An overview
G Tsoumakas, I Katakis
International Journal of Data Warehousing and Mining (IJDWM) 3 (3), 1-13, 2007
Mining multi-label data
G Tsoumakas, I Katakis, I Vlahavas
Data mining and knowledge discovery handbook, 667-685, 2009
Random k-Labelsets: An Ensemble Method for Multilabel Classification
G Tsoumakas, I Vlahavas
European conference on machine learning, 406-417, 2007
Multi-label classification of music into emotions.
K Trohidis, G Tsoumakas, G Kalliris, IP Vlahavas
ISMIR 8, 325-330, 2008
Mulan: A java library for multi-label learning
G Tsoumakas, E Spyromitros-Xioufis, J Vilcek, I Vlahavas
Journal of Machine Learning Research 12 (Jul), 2411-2414, 2011
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
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
Multilabel text classification for automated tag suggestion
I Katakis, G Tsoumakas, I Vlahavas
Proceedings of the ECML/PKDD 18, 5, 2008
Protein classification with multiple algorithms
S Diplaris, G Tsoumakas, PA Mitkas, I Vlahavas
Panhellenic Conference on Informatics, 448-456, 2005
An empirical study of lazy multilabel classification algorithms
E Spyromitros, G Tsoumakas, I Vlahavas
Hellenic conference on artificial intelligence, 401-406, 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
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
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
An ensemble pruning primer
G Tsoumakas, I Partalas, I Vlahavas
Applications of supervised and unsupervised ensemble methods, 1-13, 2009
Selective fusion of heterogeneous classifiers
G Tsoumakas, L Angelis, I Vlahavas
Intelligent Data Analysis 9 (6), 511-525, 2005
On the stratification of multi-label data
K Sechidis, G Tsoumakas, I Vlahavas
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2011
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
An ensemble uncertainty aware measure for directed hill climbing ensemble pruning
I Partalas, G Tsoumakas, I Vlahavas
Machine Learning 81 (3), 257-282, 2010
Pruning an ensemble of classifiers via reinforcement learning
I Partalas, G Tsoumakas, I Vlahavas
Neurocomputing 72 (7-9), 1900-1909, 2009
Multi-target regression via input space expansion: treating targets as inputs
E Spyromitros-Xioufis, G Tsoumakas, W Groves, I Vlahavas
Machine Learning 104 (1), 55-98, 2016
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Articles 1–20