Joao Gama

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Pedro Pereira RodriguesAssociate Professor of Health Data Science - Faculty of Medicine of the University of PortoVerified email at med.up.pt
Albert BifetTélécom ParisTech & University of WaikatoVerified email at telecom-paristech.fr
Luis Moreira-MatiasSenior Director of Artificial Intelligence (sennAI) @ sennderVerified email at sennder.com
João Mendes-MoreiraAssociate professor, Faculty of Engineering, University of Porto / LIAAD - INESC TECVerified email at fe.up.pt
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
Raquel SebastiaoIEETA, Univ. Aveiro, Portugal & LIAAD - INESC TEC, Univ. Porto, PortugalVerified email at inescporto.pt
Carlos Abreu FerreiraLIAAD INESC TEC / ISEPVerified email at isep.ipp.pt
Alípio JorgeUniversity of Porto, FCUP, DCC, INESC TEC, LIAADVerified email at fc.up.pt
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University, and Galala UniversityVerified email at bcu.ac.uk
Indrė ŽliobaitėUniversity of HelsinkiVerified email at helsinki.fi
Michel FerreiraDepartment of Computer Science, Faculdade de Ciências, Universidade do PortoVerified email at dcc.fc.up.pt
Hadi Fanaee-TAssociate Professor, Halmstad UniversityVerified email at hh.se
Gladys CastilloUniversity of AveiroVerified email at ua.pt
Bruno VelosoFaculty of Economics, University of Porto, and INESC TECVerified email at fep.up.pt
Elaine Ribeiro de FariaCiência da Computação, Universidade Federal de UberlândiaVerified email at facom.ufu.br
Rita P. RibeiroFaculty of Sciences, University of PortoVerified email at dcc.fc.up.pt
Márcia OliveiraDeeper InsightsVerified email at deeperinsights.com
João VinagreJoint Research Centre, European Commission and University of PortoVerified email at ec.europa.eu
Shazia TabassumUniversity of PortoVerified email at inesctec.pt
Mário CordeiroUniversidade do PortoVerified email at fe.up.pt

Joao Gama

Professor, Faculty of Economics, University of Porto, and INESC TEC

Verified email at fep.up.pt - Homepage

Data Mining Machine Learning Data Stream Mining Concept Drift


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A survey on concept drift adaptation J Gama, I Žliobaitė, A Bifet, M Pechenizkiy, A Bouchachia ACM computing surveys (CSUR) 46 (4), 1-37, 2014	2788	2014
Learning with drift detection J Gama, P Medas, G Castillo, P Rodrigues Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004	1663	2004
Knowledge discovery from data streams J Gama Chapman & Hall/CRC, 2010	1208	2010
Ensemble learning for data stream analysis: A survey B Krawczyk, LL Minku, J Gama, J Stefanowski, M Woźniak Information Fusion 37, 132-156, 2017	869	2017
Learning under concept drift: A review J Lu, A Liu, F Dong, F Gu, J Gama, G Zhang IEEE transactions on knowledge and data engineering 31 (12), 2346-2363, 2018	820	2018
Predicting taxi–passenger demand using streaming data L Moreira-Matias, J Gama, M Ferreira, J Mendes-Moreira, L Damas IEEE Transactions on Intelligent Transportation Systems 14 (3), 1393-1402, 2013	701	2013
Data stream clustering: A survey JA Silva, ER Faria, RC Barros, ER Hruschka, AC Carvalho, J Gama ACM Computing Surveys (CSUR) 46 (1), 1-31, 2013	604	2013
On evaluating stream learning algorithms J Gama, R Sebastiao, PP Rodrigues Machine learning 90, 317-346, 2013	519	2013
Inteligência artificial: uma abordagem de aprendizado de máquina K Faceli, A Lorena, J Gama, A Carvalho Grupo Gen-LTC, 2011	474	2011
Event labeling combining ensemble detectors and background knowledge H Fanaee-T, J Gama Progress in Artificial Intelligence 2, 113-127, 2014	418	2014
Accurate decision trees for mining high-speed data streams J Gama, R Rocha, P Medas Proceedings of the ninth ACM SIGKDD international conference on Knowledge …, 2003	418	2003
Cascade generalization J Gama, P Brazdil Machine learning 41, 315-343, 2000	413	2000
Issues in evaluation of stream learning algorithms J Gama, R Sebastiao, PP Rodrigues Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	404	2009
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	373	2016
Functional trees J Gama Machine learning 55, 219-250, 2004	370	2004
Hierarchical clustering of time-series data streams PP Rodrigues, J Gama, J Pedroso IEEE transactions on knowledge and data engineering 20 (5), 615-627, 2008	353	2008
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	343	2007
Learning model trees from evolving data streams E Ikonomovska, J Gama, S Džeroski Data mining and knowledge discovery 23, 128-168, 2011	333	2011
A review on the combination of binary classifiers in multiclass problems AC Lorena, AC De Carvalho, JMP Gama Artificial Intelligence Review 30, 19-37, 2008	312	2008
Characterizing the applicability of classification algorithms using meta-level learning P Brazdil, BH Gama, J Proceedings of the European conference on machine learning on Machine …, 1994	261	1994

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