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 | 3436 | 2014 |
Learning with drift detection J Gama, P Medas, G Castillo, P Rodrigues Advances in Artificial Intelligence–SBIA 2004: 17th Brazilian Symposium on …, 2004 | 1970 | 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 | 1472 | 2018 |
Knowledge discovery from data streams J Gama Chapman & Hall/CRC, 2010 | 1295 | 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 | 1061 | 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 | 820 | 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 | 690 | 2013 |
On evaluating stream learning algorithms J Gama, R Sebastiao, PP Rodrigues Machine learning 90, 317-346, 2013 | 603 | 2013 |
Inteligência artificial: uma abordagem de aprendizado de máquina K Faceli, A Lorena, J Gama, A Carvalho Grupo Gen-LTC, 2011 | 569* | 2011 |
Event labeling combining ensemble detectors and background knowledge H Fanaee-T, J Gama Progress in Artificial Intelligence 2, 113-127, 2014 | 519 | 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 | 465 | 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 | 435 | 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 | 432 | 2003 |
Cascade generalization J Gama, P Brazdil Machine learning 41, 315-343, 2000 | 429 | 2000 |
Functional trees J Gama Machine learning 55, 219-250, 2004 | 381 | 2004 |
Learning model trees from evolving data streams E Ikonomovska, J Gama, S Džeroski Data mining and knowledge discovery 23, 128-168, 2011 | 369 | 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 | 367 | 2018 |
Learning from data streams: processing techniques in sensor networks J Gama, MM Gaber Springer Science & Business Media, 2007 | 355 | 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 | 351 | 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 | 313 | 2008 |