Ioannis Vlahavas
Ioannis Vlahavas
Professor of Computer Science, Aristotle University of Thessaloniki, Greece
Verified email at - Homepage
Cited by
Cited by
Mining multi-label data
G Tsoumakas, I Katakis, I Vlahavas
Data mining and knowledge discovery handbook, 667-685, 2010
Machine learning and data mining methods in diabetes research
I Kavakiotis, O Tsave, A Salifoglou, N Maglaveras, I Vlahavas, ...
Computational and structural biotechnology journal 15, 104-116, 2017
Random k-Labelsets: An Ensemble Method for Multilabel Classification
G Tsoumakas, I Vlahavas
European conference on machine learning, 406-417, 2007
Random k-labelsets for multilabel classification
G Tsoumakas, I Katakis, I Vlahavas
IEEE transactions on knowledge and data engineering 23 (7), 1079-1089, 2010
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
The Journal of Machine Learning Research 12, 2411-2414, 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
“Cultures in negotiation”: teachers’ acceptance/resistance attitudes considering the infusion of technology into schools
S Demetriadis, A Barbas, A Molohides, G Palaigeorgiou, D Psillos, ...
Computers & Education 41 (1), 19-37, 2003
On the stratification of multi-label data
K Sechidis, G Tsoumakas, I Vlahavas
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011
Multilabel text classification for automated tag suggestion
I Katakis, G Tsoumakas, I Vlahavas
ECML PKDD discovery challenge 75, 2008, 2008
An empirical study of lazy multilabel classification algorithms
E Spyromitros, G Tsoumakas, I Vlahavas
Artificial Intelligence: Theories, Models and Applications: 5th Hellenic …, 2008
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics): Preface
A Roychoudhury, M D'Souza
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
Protein classification with multiple algorithms
S Diplaris, G Tsoumakas, PA Mitkas, I Vlahavas
Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI …, 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
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
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
Data mining and knowledge discovery handbook
G Tsoumakas, I Katakis, I Vlahavas
Mining multi-label data, 667-85, 2010
An integrated approach to automated semantic web service composition through planning
O Hatzi, D Vrakas, M Nikolaidou, N Bassiliades, D Anagnostopoulos, ...
IEEE Transactions on Services Computing 5 (3), 319-332, 2011
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