Elaine Ribeiro de Faria

According to our database, Elaine Ribeiro de Faria authored at least 47 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends.

Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria

Expert Syst. Appl., 2024

2023

Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies.

Gilberto Olimpio, Lásaro J. Camargos, Rodrigo Sanches Miani, Elaine Ribeiro de Faria

Comput. Secur., November, 2023

Novelty detection for multi-label stream classification under extreme verification latency.

Joel D. Costa, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri

Appl. Soft Comput., July, 2023

2022

A comprehensive analysis of the diverse aspects inherent to image data stream classification.

Mateus Curcino de Lima, Yan Stivaletti e Souza, Elaine R. Faria, Maria Camila Nardini Barioni

Knowl. Inf. Syst., 2022

A method for analysis of human temperament in contrast to social network data.

Lara Mondini Martins, Cássio De Alcantara, Maria Camila Nardini Barioni, Luiz Carlos De Oliveira Júnior, Elaine Ribeiro de Faria

Proceedings of the WebMedia '22: Brazilian Symposium on Multimedia and Web, Curitiba, Brazil, November 7, 2022

HubISC: um novo algoritmo baseado em hubness para a classificação de fluxo de dados de imagens.

Mateus Curcino de Lima, Elaine R. Faria, Maria Camila Nardini Barioni

Proceedings of the 37th Brazilian Symposium on Databases, 2022

Combining clutter reduction methods for temporal network visualization.

Jean R. Ponciano, Claudio D. G. Linhares, Luis E. C. Rocha, Elaine R. Faria, Bruno A. N. Travençolo

Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps.

Ricardo Cerri, Elaine R. Faria, João Gama

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

A streaming edge sampling method for network visualization.

Jean R. Ponciano, Claudio D. G. Linhares, Luis E. C. Rocha, Elaine R. Faria, Bruno A. N. Travençolo

Knowl. Inf. Syst., 2021

An online and nonuniform timeslicing method for network visualisation.

Jean R. Ponciano, Claudio D. G. Linhares, Elaine R. Faria, Bruno A. N. Travençolo

Comput. Graph., 2021

An analysis of violence against women based on victims' reports.

Isabella Tannús Corrêa, Elaine Ribeiro de Faria

Proceedings of the SBSI 2021: XVII Brazilian Symposium on Information Systems, Uberlândia, Brazil, June 7, 2021

A new self-organizing map based algorithm for multi-label stream classification.

Ricardo Cerri, Joel David Costa Júnior, Elaine R. Faria, João Gama

Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Intrusion Detection over Network Packets using Data Stream Classification Algorithms.

Gilberto Olimpio, Pedro F. C. Silva, Lásaro J. Camargos, Rodrigo Sanches Miani, Elaine Ribeiro de Faria

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Social Security Reform in Brazil: A Twitter Sentiment Analysis.

Rafael D. Ricci, Elaine R. Faria, Rodrigo Sanches Miani, Paulo Henrique Ribeiro Gabriel

Proceedings of the Electronic Government and the Information Systems Perspective, 2021

Evaluating the Construction of Feature Descriptors in the Performance of the Image Data Stream Classification.

Mateus Curcino de Lima, Alex J. S. de Abreu, Elaine R. Faria, Maria Camila Nardini Barioni

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020

Editorial.

Angelo Brayner, Maristela Holanda, Elaine Ribeiro de Faria Paiva

J. Inf. Data Manag., 2020

Evaluating the Performance of Twitter-based Exploit Detectors.

Daniel Alves de Sousa, Elaine Ribeiro de Faria, Rodrigo Sanches Miani

CoRR, 2020

Multi-label Stream Classification with Self-Organizing Maps.

Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva, João Manuel Portela da Gama

CoRR, 2020

EVISClass: a new evaluation method for image data stream classifiers.

Mateus Curcino de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente

Proceedings of the 19th IEEE International Conference on Machine Learning and Applications, 2020

Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents' Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent.

Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

A comparison of stream mining algorithms on botnet detection.

Guilherme Henrique Ribeiro, Elaine Ribeiro de Faria Paiva, Rodrigo Sanches Miani

Proceedings of the ARES 2020: The 15th International Conference on Availability, 2020

2019

Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game.

Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria

Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks.

Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria, Albert Bifet

Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Pruned Sets for Multi-Label Stream Classification without True Labels.

Joel D. Costa Júnior, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri

Proceedings of the International Joint Conference on Neural Networks, 2019

Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images.

Alexandre J. Oliveira, Gleice A. de Assis, Vitor Guizilini, Elaine R. Faria, Jefferson R. Souza

Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Analysis of nematodes in coffee crops at different altitudes using aerial images.

Alexandre J. Oliveira, Gleice A. de Assis, Elaine R. Faria, Jefferson R. Souza, Kelen Cristiane Teixeira Vivaldini, Vitor Guizilini, Fabio Ramos, Caio César Teodoro Mendes, Denis F. Wolf

Proceedings of the 27th European Signal Processing Conference, 2019

Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry.

Fabíola S. F. Pereira, André C. P. L. F. de Carvalho, Rafael Assis, Maxley Costa, Elaine R. Faria, Rita Maria da Silva Julia, Umberto Barcelos, Jony Melo

Proceedings of the Progress in Artificial Intelligence, 2019

Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service.

Henrique de Castro Neto, Rita Maria da Silva Julia, Elaine Ribeiro de Faria Paiva, André Carlos Ponce de Leon Ferreira de Carvalho, Anisio Pereira Santos Junior, Diansley Raphael Santos Peres, Etienne Silva Julia, Jony Teixeira de Melo, Umberto Maia Barcelos, Josiane Esteves de Assis

Proceedings of the Progress in Artificial Intelligence, 2019

Ensemble Clustering for Novelty Detection in Data Streams.

Kemilly Dearo Garcia, Elaine Ribeiro de Faria, Cláudio Rebelo de Sá, João Mendes-Moreira, Charu C. Aggarwal, André C. P. L. F. de Carvalho, Joost N. Kok

Proceedings of the Discovery Science - 22nd International Conference, 2019

Novelty Detection for Multi-Label Stream Classification.

Joel D. Costa Júnior, Elaine Ribeiro de Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Study and Characterization of the Main Tools for Human Activity Recognition using Accelerometer Sensors.

Daniela Giacomelli, Elaine Ribeiro de Faria

Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Qualitative evaluation of denial of service datasets.

Carla O. Camargo, Elaine R. Faria, Bruno Bogaz Zarpelão, Rodrigo Sanches Miani

Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Scalable Batch Stream Clustering with k Estimation.

Paulo G. L. Candido, Jonathan de Andrade Silva, Elaine R. Faria, Murilo Coelho Naldi

Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017

A Framework for Online Clustering Based on Evolving Semi-Supervision.

Guilherme Alves, Maria Camila Nardini Barioni, Elaine R. Faria

Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

Online Detection of Outliers in Clusters of Continuous Data Streaming.

Mariana Alves Pereira, Elaine Ribeiro de Faria Paiva, Murilo Coelho Naldi

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Scalable Data Stream Clustering with k Estimation.

Paulo G. L. Candido, Murilo Coelho Naldi, Jonathan de Andrade Silva, Elaine R. Faria

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

MINAS: multiclass learning algorithm for novelty detection in data streams.

Elaine Ribeiro de Faria, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama

Data Min. Knowl. Discov., 2016

Novelty detection in data streams.

Elaine R. Faria, Isabel J. C. R. Gonçalves, André C. P. L. F. de Carvalho, João Gama

Artif. Intell. Rev., 2016

2015

Evaluation of Multiclass Novelty Detection Algorithms for Data Streams.

Elaine Ribeiro de Faria, Isabel Ribeiro Gonçalves, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho

IEEE Trans. Knowl. Data Eng., 2015

IKB-MS: A Collaborative Filtering Approach Associated with Human Visual Attention for Clothing Recommendation.

Emilia Alves Nogueira, Ernani Viriato de Melo, Elaine Ribeiro de Faria, Denise Guliato

Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

2014

Novelty detection in multiclass data streams.

Elaine Ribeiro de Faria Paiva

PhD thesis, 2014

2013

Data stream clustering: A survey.

Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama

ACM Comput. Surv., 2013

Novelty detection algorithm for data streams multi-class problems.

Elaine R. Faria, João Gama, André C. P. L. F. de Carvalho

Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Evaluation Methodology for Multiclass Novelty Detection Algorithms.

Elaine R. Faria, Isabel J. C. R. Gonçalves, João Gama, André C. P. L. F. de Carvalho

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters.

Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. de Carvalho

Proceedings of the ACM Symposium on Applied Computing, 2012

2005

Segmentation and Centromere Locating Methods Applied to Fish Chromosomes Images.

Elaine Ribeiro de Faria, Denise Guliato, Jean Carlo de Sousa Santos

Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

2004

Segmentação de Cromossomos de Peixe Usando Conjuntos Difusos.

Elaine Ribeiro de Faria, Denise Guliato, Jean Carlo de Sousa Santos, Sandra Morelli

Proceedings of the III Brazilian Workshop on Bioinformatics, 2004