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, 235-269, 2016
MINAS: multiclass learning algorithm for novelty detection in data streams
ER de Faria, AC Ponce de Leon Ferreira Carvalho, J Gama
Data mining and knowledge discovery 30, 640-680, 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
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 de Faria, D Guliato, JC de Sousa Santos
Advances in Bioinformatics and Computational Biology: Brazilian Symposium on …, 2005
Segmenting and detecting nematode in coffee crops using aerial images
AJ Oliveira, GA Assis, V Guizilini, ER Faria, JR Souza
Computer Vision Systems: 12th International Conference, ICVS 2019 …, 2019
Evaluation Methodology for Multiclass Novelty Detection Algorithms
ER Faria, IJCR Gonçalves, J Gama, ACPLF Carvalho
2nd Brazilian Conference on Intelligent Systems, 19-25, 2013
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 Carvalho, J Gama
ACM Comput. Surv 46 (1), 13, 0
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
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
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
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
An online and nonuniform timeslicing method for network visualisation
JR Ponciano, CDG Linhares, ER Faria, BAN Travencolo
Computers & Graphics 97, 170-182, 2021
Analysis of nematodes in coffee crops at different altitudes using aerial images
AJ Oliveira, GA Assis, ER Faria, JR Souza, KCT Vivaldini, V Guizilini, ...
2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019
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
Proceedings of the 5th Symposium on Knowledge Discovery, Mining and Learning …, 2017
A new self-organizing map based algorithm for multi-label stream classification
R Cerri, JDC Junior, ER Faria, J Gama
Proceedings of the 36th Annual ACM Symposium on Applied Computing, 418-426, 2021
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