Joao Gama
Joao Gama
Professor, Faculty of Economics, University of Porto
Vahvistettu sähköpostiosoite verkkotunnuksessa fep.up.pt - Kotisivu
Nimike
Viittaukset
Viittaukset
Vuosi
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
19462014
Learning with drift detection
J Gama, P Medas, G Castillo, P Rodrigues
Brazilian symposium on artificial intelligence, 286-295, 2004
13202004
Knowledge discovery from data streams
J Gama
Chapman & Hall/CRC, 2010
10452010
Ensemble learning for data stream analysis: A survey
B Krawczyk, LL Minku, J Gama, J Stefanowski, M Woźniak
Information Fusion 37, 132-156, 2017
6232017
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
5102013
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
5052013
On evaluating stream learning algorithms
J Gama, R Sebastiao, PP Rodrigues
Machine learning 90 (3), 317-346, 2013
4162013
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
3902003
Cascade generalization
J Gama, P Brazdil
Machine learning 41 (3), 315-343, 2000
3862000
Issues in evaluation of stream learning algorithms
J Gama, R Sebastiao, PP Rodrigues
Proceedings of the 15th ACM SIGKDD international conference on Knowledge …, 2009
3662009
Inteligência artificial: uma abordagem de aprendizado de máquina
K Faceli, A Lorena, J Gama, A Carvalho
Grupo Gen-LTC, 2011
354*2011
Functional trees
J Gama
Machine learning 55 (3), 219-250, 2004
3412004
Learning from data streams: processing techniques in sensor networks
J Gama, MM Gaber
Springer Science & Business Media, 2007
3192007
Event labeling combining ensemble detectors and background knowledge
H Fanaee-T, J Gama
Progress in Artificial Intelligence 2 (2), 113-127, 2014
2942014
Learning model trees from evolving data streams
E Ikonomovska, J Gama, S Džeroski
Data mining and knowledge discovery 23 (1), 128-168, 2011
2892011
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
2732008
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
2642018
A review on the combination of binary classifiers in multiclass problems
AC Lorena, AC De Carvalho, JMP Gama
Artificial Intelligence Review 30 (1), 19-37, 2008
2642008
An overview of concept drift applications
I Žliobaitė, M Pechenizkiy, J Gama
Big data analysis: new algorithms for a new society, 91-114, 2016
2482016
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
2411994
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Artikkelit 1–20