Joao Gama
Joao Gama
Professor, Faculty of Economics, University of Porto, and INESC TEC
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Cited by
Cited by
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
Learning with drift detection
J Gama, P Medas, G Castillo, P Rodrigues
Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 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
Knowledge discovery from data streams
J Gama
Chapman & Hall/CRC, 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
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
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
On evaluating stream learning algorithms
J Gama, R Sebastiao, PP Rodrigues
Machine learning 90, 317-346, 2013
Inteligência artificial: uma abordagem de aprendizado de máquina
K Faceli, A Lorena, J Gama, A Carvalho
Grupo Gen-LTC, 2011
Event labeling combining ensemble detectors and background knowledge
H Fanaee-T, J Gama
Progress in Artificial Intelligence 2, 113-127, 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
Issues in evaluation of stream learning algorithms
J Gama, R Sebastiao, PP Rodrigues
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 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
Cascade generalization
J Gama, P Brazdil
Machine learning 41, 315-343, 2000
Functional trees
J Gama
Machine learning 55, 219-250, 2004
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23, 128-168, 2011
Social network analysis: An overview
S Tabassum, FSF Pereira, S Fernandes, J Gama
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 8 (5 …, 2018
Learning from data streams: processing techniques in sensor networks
J Gama, MM Gaber
Springer Science & Business Media, 2007
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
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
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