Elaine Ribeiro de Faria
Elaine Ribeiro de Faria
Ciência da Computação, Universidade Federal de Uberlândia
Verified email at facom.ufu.br
Title
Cited by
Cited by
Year
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
4832013
Novelty detection in data streams
ER Faria, IJCR Gonçalves, AC de Carvalho, J Gama
Artificial Intelligence Review 45 (2), 235-269, 2016
642016
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
512013
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
392016
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
182015
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
172005
Evaluation Methodology for Multiclass Novelty Detection Algorithms
ER Faria, IJCR Gonçalves, J Gama, ACPLF Carvalho
2nd Brazilian Conference on Intelligent Systems, 19-25, 2013
122013
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
72015
ACP de Leon Ferreira de Carvalho, and J. Gama,“MINAS: multiclass learning algorithm for novelty detection in data streams,”
ER de Faria
Data Mining and Knowledge Discovery 30 (3), 640-680, 2016
52016
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
Novelty Detection for Multi-Label Stream Classification
JDC Júnior, ER Faria, JA Silva, J Gama, R Cerri
2019 8th Brazilian Conference on Intelligent Systems (BRACIS), 144-149, 2019
42019
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
32019
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
32017
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
32012
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
22019
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
22018
Label powerset for multi-label data streams classification with concept drift
JDC Junior, E de Faria Paiva, J de Andrade Silva, R Cerri
Proceedings of the 5th Symposium on Knowledge Discovery, Mining and Learning …, 2017
22017
SiMCaPe-Sistema para a montagem de cariótipo de peixe baseado em conjuntos difusos
ER Faria
Universidade Federal de Uberlândia, 2006
22006
IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks
GW Cassales, H Senger, ER de Faria, A Bifet
2019 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2019
12019
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
12018
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Articles 1–20