Elaine Ribeiro de Faria
Elaine Ribeiro de Faria
Ciência da Computação, Universidade Federal de Uberlândia
Geverifieerd e-mailadres voor facom.ufu.br
Geciteerd door
Geciteerd door
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
Novelty detection in data streams
ER Faria, IJCR Gonçalves, AC de Carvalho, J Gama
Artificial Intelligence Review 45 (2), 235-269, 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
MINAS: multiclass learning algorithm for novelty detection in data streams
ER de Faria, PLF Carvalho, A Carlos, J Gama
Data mining and knowledge discovery 30 (3), 640-680, 2016
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
Segmentation and centromere locating methods applied to fish chromosomes images
ER Faria, D Guliato, JC Sousa Santos
Brazilian Symposium on Bioinformatics, 181-189, 2005
Evaluation Methodology for Multiclass Novelty Detection Algorithms
ER Faria, IJCR Gonçalves, J Gama, ACPLF Carvalho
2nd Brazilian Conference on Intelligent Systems, 19-25, 2013
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
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
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
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
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
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
An online and nonuniform timeslicing method for network visualisation
JR Ponciano, CDG Linhares, ER Faria, BAN Travençolo
Computers & Graphics 97, 170-182, 2021
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
A streaming edge sampling method for network visualization
JR Ponciano, CDG Linhares, LEC Rocha, ER Faria, BAN Travençolo
Knowledge and Information Systems 63 (7), 1717-1743, 2021
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
Label powerset for multi-label data streams classification with concept drift
JDC Junior, ER Faria, JA Silva, R Cerri
Proc. 5th Symp. Knowl. Discovery, Mining Learn, 97-104, 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
EVISClass: a new evaluation method for image data stream classifiers
MC de Lima, MCN Barioni, ER Faria, HL Razente
2020 19th IEEE International Conference on Machine Learning and Applications …, 2020
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