Grigorios Tsoumakas

Citado por

	Total	Desde 2020
Citas	20258	8535
Índice h	52	36
Índice i10	116	94

1800

900

450

1350

200720082009201020112012201320142015201620172018201920202021202220232024202562 142 259 473 585 827 925 1132 1256 1310 1333 1498 1584 1696 1643 1708 1705 1570 208

Acceso público

Ver todo

12 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Ioannis VlahavasProfessor of Computer Science, Aristotle University of Thessaloniki, GreeceDirección de correo verificada de csd.auth.gr
Ioannis KatakisUniversity of NicosiaDirección de correo verificada de unic.ac.cy
Nick BassiliadesProfessor, School of Informatics, Aristotle University of Thessaloniki, GreeceDirección de correo verificada de csd.auth.gr
Eleftherios Spyromitros-XioufisMachine Learning Scientist, Expedia GroupDirección de correo verificada de expediagroup.com
Ioannis MollasAristotle University of Thessaloniki, School of InformaticsDirección de correo verificada de csd.auth.gr
Ioannis PartalasMachine Learning Scientist, Expedia GroupDirección de correo verificada de expediagroup.com
Bin LiuChongqing University of Posts & TelecommunicationsDirección de correo verificada de cqupt.edu.cn
Eirini PapagiannopoulouVrije Universiteit BrusselDirección de correo verificada de vub.be
Yannis PapanikolaouDirección de correo verificada de csd.auth.gr
Stamatis Karlos, Postdoctoral Researc...School of Informatics, Aristotle University of ThessalonikiDirección de correo verificada de csd.auth.gr
Alexios GidiotisAristotle University of ThessalonikiDirección de correo verificada de csd.auth.gr
Konstantinos TrochidisSiemens Financial ServicesDirección de correo verificada de siemens.com
George KallirisProfessor of Media Technologies, Aristotle UniversityDirección de correo verificada de jour.auth.gr
Dimitris VrakasSchool of Informatics, Aristotle University of ThessalonikiDirección de correo verificada de csd.auth.gr
Athanasios LagopoulosPhD Student, School of Informatics, Aristotle University of ThessalonikiDirección de correo verificada de csd.auth.gr
Ioannis (Yiannis) KompatsiarisDirector, Information Technologies Institute, CERTHDirección de correo verificada de iti.gr
Anestis FachantidisResearcher - Co-founder, Medoid AIDirección de correo verificada de csd.auth.gr
Dimitris DimitriadisPhD Student, Artistotle University of ThessalonikiDirección de correo verificada de csd.auth.gr
Lefteris (Eleftherios) AngelisProfessor of Statistics and Information Systems, Aristotle University of ThessalonikiDirección de correo verificada de csd.auth.gr
William GrovesUniversity of MinnesotaDirección de correo verificada de cs.umn.edu

Seguir

Grigorios Tsoumakas

Aristotle University of Thessaloniki

Dirección de correo verificada de csd.auth.gr - Página principal

Machine Learning Data Mining Knowledge Discovery Natural Language Processing


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Multi-label classification: An overview G Tsoumakas, I Katakis Data Warehousing and Mining: Concepts, Methodologies, Tools, and …, 2008	3842	2008
Mining multi-label data G Tsoumakas, I Katakis, I Vlahavas Data mining and knowledge discovery handbook, 667-685, 2010	2168	2010
Random k-Labelsets: An Ensemble Method for Multilabel Classification G Tsoumakas, I Vlahavas European conference on machine learning, 406-417, 2007	1356	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	1146	2010
Multi-label classification of music into emotions. K Trohidis, G Tsoumakas, G Kalliris, IP Vlahavas ISMIR 8, 325-330, 2008	1088	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	994	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	593	2008
On the stratification of multi-label data K Sechidis, G Tsoumakas, I Vlahavas Machine Learning and Knowledge Discovery in Databases: European Conference …, 2011	592	2011
Multilabel text classification for automated tag suggestion I Katakis, G Tsoumakas, I Vlahavas ECML PKDD discovery challenge 75, 2008, 2008	501	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	486*	2016
An empirical study of lazy multilabel classification algorithms E Spyromitros, G Tsoumakas, I Vlahavas Artificial Intelligence: Theories, Models and Applications: 5th Hellenic …, 2008	387	2008
Protein classification with multiple algorithms S Diplaris, G Tsoumakas, PA Mitkas, I Vlahavas Advances in Informatics: 10th Panhellenic Conference on Informatics, PCI …, 2005	349	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	289	2010
A review of keyphrase extraction E Papagiannopoulou, G Tsoumakas Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 10 (2 …, 2020	225	2020
ETHOS: a multi-label hate speech detection dataset I Mollas, Z Chrysopoulou, S Karlos, G Tsoumakas Complex & Intelligent Systems 8 (6), 4663-4678, 2022	216*	2022
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	191	2009
An ensemble pruning primer G Tsoumakas, I Partalas, I Vlahavas Applications of supervised and unsupervised ensemble methods, 1-13, 2009	179	2009
A divide-and-conquer approach to the summarization of long documents A Gidiotis, G Tsoumakas IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 3029-3040, 2020	173*	2020
A survey of machine learning techniques for food sales prediction G Tsoumakas Artificial Intelligence Review 52 (1), 441-447, 2019	173	2019
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	170	2013

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores