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 | 464 | 2013 |
Novelty detection in data streams ER Faria, IJCR Gonçalves, AC de Carvalho, J Gama Artificial Intelligence Review 45 (2), 235-269, 2016 | 58 | 2016 |
Novelty detection algorithm for data streams multi-class problems ER Faria, J Gama, AC Carvalho Proceedings of the 28th annual ACM symposium on applied computing, 795-800, 2013 | 49 | 2013 |
MINAS: multiclass learning algorithm for novelty detection in data streams ER de Faria, ACP de Leon Ferreira, J Gama Data mining and knowledge discovery 30 (3), 640-680, 2016 | 39 | 2016 |
Segmentation and centromere locating methods applied to fish chromosomes images ER de Faria, D Guliato, JC de Sousa Santos Brazilian Symposium on Bioinformatics, 181-189, 2005 | 18 | 2005 |
Evaluation of multiclass novelty detection algorithms for data streams ER de Faria, IR Goncalves, J Gama, ACP de Leon Ferreira IEEE Transactions on Knowledge and Data Engineering 27 (11), 2961-2973, 2015 | 16 | 2015 |
Evaluation Methodology for Multiclass Novelty Detection Algorithms ER Faria, IJCR Gonçalves, J Gama, ACPLF Carvalho 2nd Brazilian Conference on Intelligent Systems, 19-25, 2013 | 13 | 2013 |
ACP de Leon Ferreira de Carvalho, Eval-uation of multiclass novelty detection algorithms for data streams ER de Faria, IR Goncalves, J Gama IEEE Trans. Knowl. Data Eng 27 (11), 2961-2973, 2015 | 9 | 2015 |
IKB-MS: A collaborative filtering approach associated with human visual attention for clothing recommendation EA Nogueira, EV de Melo, ER de Faria, D Guliato Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 149-156, 2015 | 7 | 2015 |
a. 2013. Data stream clustering: A survey JA Silva, ER Faria, RC Barros, ER Hruschka, A de Carvalho, J Gama ACM Computing Survey 46 (1), 13, 0 | 5 | |
Scalable Data Stream Clustering with k Estimation PL Cândido, MC Naldi, JA Silva, ER Faria 2017 Brazilian Conference on Intelligent Systems (BRACIS), 336-341, 2017 | 3 | 2017 |
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters ER Faria, RC Barros, J Gama, AC Carvalho Proceedings of the 27th Annual ACM Symposium on Applied Computing, 829-830, 2012 | 3 | 2012 |
Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images AJ Oliveira, GA Assis, V Guizilini, ER Faria, JR Souza International Conference on Computer Vision Systems, 274-283, 2019 | 2 | 2019 |
Sentiment Analysis of Twitter Posts About the 2017 Academy Awards IT Correa, DD Abdala, RS Miani, ER Faria Anais do XV Encontro Nacional de Inteligência Artificial e Computacional …, 2018 | 2 | 2018 |
Label powerset for multi-label data streams classification with concept drift JDC Junior, ER Faria, JA Silva, R Cerri Proceedings of the 5th Symposium on Knowledge Discovery, Mining and Learning …, 2017 | 2 | 2017 |
Segmentação de Cromossomos de Peixe Usando Conjuntos Difusos. ER de Faria, D Guliato, JC de Sousa Santos, S Morelli WOB, 121-124, 2004 | 2 | 2004 |
Novelty Detection for Multi-Label Stream Classification JC Júnior, E Faria, J Silva, J Gama, R Cerri 2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 144-149, 2019 | 1 | 2019 |
Pruned Sets for Multi-Label Stream Classification without True Labels JDC Júnior, ER Faria, JA Silva, J Gama, R Cerri 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 1 | 2019 |
Scalable Batch Stream Clustering with k Estimation PL Cândido, JA Silva, ER Faria, MC Naldi 2018 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2018 | 1 | 2018 |
SiMCaPe-Sistema para a montagem de cariótipo de peixe baseado em conjuntos difusos ER Faria Universidade Federal de Uberlândia, 2006 | 1 | 2006 |