Ioannis Katakis

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Grigorios TsoumakasAristotle University of ThessalonikiVerified email at csd.auth.gr
Ioannis VlahavasProfessor of Computer Science, Aristotle University of Thessaloniki, GreeceVerified email at csd.auth.gr
Dimitrios GunopulosNational and Kapodistrian University of AthensVerified email at di.uoa.gr
Vana KalogerakiProfessor, Department of Informatics, Athens University of Economics and Business, Athens, GreeceVerified email at aueb.gr
Nikolaos PanagiotouDepartment of Informatics and TelecommunicationsVerified email at di.uoa.gr
Pantelis AgathangelouResearch Associate, University of NicosiaVerified email at live.unic.ac.cy
Nick BassiliadesProfessor, School of Informatics, Aristotle University of Thessaloniki, GreeceVerified email at csd.auth.gr
Ioannis PartalasMachine Learning ScientistVerified email at expediagroup.com
Nikolas ZygourasNational and Kapodistrian University of AthensVerified email at di.uoa.gr
Katharina MorikProfessor of Computer Science, TU Dortmund UniversityVerified email at tu-dortmund.de
Nicolas TsapatsoulisProfessor, Cyprus University of TechnologyVerified email at cut.ac.cy
Ioannis BoutsisAthens University of Economics and BusinessVerified email at aueb.gr
Nikos ZacheilasAthens University of Economics and BusinessVerified email at aueb.gr
Fernando MendezResearcher, University of ZurichVerified email at zda.uzh.ch
Vasiliki TrigaAssoc. Prof., Dpt Of Public Communication, Cyprus University of TechnologyVerified email at cut.ac.cy
George ValkanasApple, IncVerified email at di.uoa.gr
François SchnitzlerSenior Scientist, InterDigitalVerified email at interdigital.com
Thomas LiebigTU DortmundVerified email at tu-dortmund.de
Georgios MeditskosSchool of Informatics, Aristotle University of ThessalonikiVerified email at csd.auth.gr
Iouliana LitouAthens University of Economics and BusinessVerified email at aueb.gr

Ioannis Katakis

University of Nicosia

Verified email at unic.ac.cy - Homepage

Data Science Machine Learning Sentiment Analysis Social Networks Smart Cities


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Multi-Label Classification: An overview G Tsoumakas, I Katakis International Journal of Data Warehousing & Mining 3 (3), 1-13, 2007	3351	2007
Mining multi-label data G Tsoumakas, I Katakis, I Vlahavas Data mining and knowledge discovery handbook, 667-685, 2010	1994	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	998	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	535	2008
Multilabel text classification for automated tag suggestion I Katakis, G Tsoumakas, I Vlahavas ECML PKDD discovery challenge 75, 2008	452	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	271	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	129	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	110	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	100	2016
Effective voting of heterogeneous classifiers G Tsoumakas, I Katakis, I Vlahavas European Conference on Machine Learning, 465-476, 2004	93	2004
An ensemble of classifiers for coping with recurring contexts in data streams I Katakis, G Tsoumakas, I Vlahavas ECAI 2008, 763-764, 2008	87	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	72	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	65	2005
Ensemble pruning using reinforcement learning I Partalas, G Tsoumakas, I Katakis, I Vlahavas Advances in Artificial Intelligence, 301-310, 2006	63	2006
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	59	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	59	2013
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	52	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	50	2016
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	43	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	37	2006

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