Joao Gama
Joao Gama
Professor, Faculty of Economics, University of Porto
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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
Learning with drift detection
J Gama, P Medas, G Castillo, P Rodrigues
Brazilian symposium on artificial intelligence, 286-295, 2004
Knowledge discovery from data streams
J Gama
Chapman & Hall/CRC, 2010
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
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
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 (3), 315-343, 2000
Issues in evaluation of stream learning algorithms
J Gama, R Sebastião, PP Rodrigues
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
On evaluating stream learning algorithms
J Gama, R Sebastião, PP Rodrigues
Machine learning 90 (3), 317-346, 2013
Functional trees
J Gama
Machine learning 55 (3), 219-250, 2004
Learning from data streams: processing techniques in sensor networks
J Gama, MM Gaber
Springer Science & Business Media, 2007
Inteligência artificial: uma abordagem de aprendizado de máquina
K Faceli, A Lorena, J Gama, A Carvalho
Grupo Gen-LTC, 2011
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23 (1), 128-168, 2011
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
A review on the combination of binary classifiers in multiclass problems
AC Lorena, AC De Carvalho, JMP Gama
Artificial Intelligence Review 30 (1-4), 19, 2008
Event labeling combining ensemble detectors and background knowledge
H Fanaee-T, J Gama
Progress in Artificial Intelligence 2 (2-3), 113-127, 2014
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
Entropy and correntropy against minimum square error in offline and online three-day ahead wind power forecasting
RJ Bessa, V Miranda, J Gama
IEEE Transactions on Power Systems 24 (4), 1657-1666, 2009
Characterization of classification algorithms
J Gama, P Brazdil
Portuguese Conference on Artificial Intelligence, 189-200, 1995
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