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
Mykola PechenizkiyEindhoven University of TechnologyVerified email at tue.nl
João Mendes-MoreiraAssociate professor, Faculty of Engineering, University of Porto / LIAAD - INESC TECVerified email at fe.up.pt
Raquel SebastiaoIEETA, Univ. Aveiro, Portugal & LIAAD - INESC TEC, Univ. Porto, PortugalVerified email at inescporto.pt
Rita P. RibeiroFaculty of Sciences, University of Porto and INESC TECVerified email at fc.up.pt
Bruno VelosoFaculty of Economics, University of Porto, and INESC TECVerified email at fep.up.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 UniversityVerified email at bcu.ac.uk
Indrė ŽliobaitėProfessor, University 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 of Machine Learning, Halmstad University, SwedenVerified email at hh.se
Gladys CastilloUniversity of AveiroVerified email at ua.pt
Elaine Ribeiro de FariaCiência da Computação, Universidade Federal de UberlândiaVerified email at facom.ufu.br
João VinagreJoint Research Centre, European CommissionVerified email at ec.europa.eu
Shazia TabassumUniversity of PortoVerified email at inesctec.pt
Márcia OliveiraDeeper InsightsVerified email at deeperinsights.com
Ana Carolina LorenaInstituto Tecnológico de AeronáuticaVerified email at ita.br

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	3615	2014
Learning with drift detection J Gama, P Medas, G Castillo, P Rodrigues Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004	2076	2004
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	1676	2018
Knowledge discovery from data streams J Gama Chapman & Hall/CRC, 2010	1314	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	1127	2017
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	861	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	710	2013
On evaluating stream learning algorithms J Gama, R Sebastiao, PP Rodrigues Machine learning 90, 317-346, 2013	622	2013
Inteligência artificial: uma abordagem de aprendizado de máquina K Faceli, A Lorena, J Gama, A Carvalho Grupo Gen-LTC, 2011	586*	2011
Event labeling combining ensemble detectors and background knowledge H Fanaee-T, J Gama Progress in Artificial Intelligence 2, 113-127, 2014	537	2014
An overview of concept drift applications I Žliobaitė, M Pechenizkiy, J Gama Big data analysis: new algorithms for a new society, 91-114, 2016	497	2016
Issues in evaluation of stream learning algorithms J Gama, R Sebastiao, PP Rodrigues Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009	447	2009
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	438	2003
Cascade generalization J Gama, P Brazdil Machine learning 41, 315-343, 2000	437	2000
Social network analysis: An overview S Tabassum, FSF Pereira, S Fernandes, J Gama Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (5 …, 2018	414	2018
Functional trees J Gama Machine learning 55, 219-250, 2004	390	2004
Learning model trees from evolving data streams E Ikonomovska, J Gama, S Džeroski Data mining and knowledge discovery 23, 128-168, 2011	379	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	368	2008
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007	359	2007
Artificial intelligence, cyber-threats and Industry 4.0: Challenges and opportunities A Bécue, I Praça, J Gama Artificial Intelligence Review 54 (5), 3849-3886, 2021	328	2021

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