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ORCIDElaine Ribeiro de Faria
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2020 – today
- 2024
[j11]Eldane Vieira Junior
, Rita Maria da Silva Julia, Elaine Ribeiro de Faria:
SDS-MDBScan: Assigning a meaning to changes in data stream scenarios based on the statistical calculation of the data semantic trends. Expert Syst. Appl. 255: 124500 (2024)- 2023
- [j10]Joel D. Costa, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri:
Novelty detection for multi-label stream classification under extreme verification latency. Appl. Soft Comput. 141: 110265 (2023) - [j9]Gilberto Olimpio, Lásaro J. Camargos, Rodrigo Sanches Miani, Elaine Ribeiro de Faria:
Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies. Comput. Secur. 134: 103451 (2023) - 2022
- [j8]Mateus Curcino de Lima, Yan Stivaletti e Souza, Elaine R. Faria, Maria Camila Nardini Barioni:
A comprehensive analysis of the diverse aspects inherent to image data stream classification. Knowl. Inf. Syst. 64(8): 2215-2238 (2022) - [c33]Ricardo Cerri, Elaine R. Faria, João Gama:
An Algorithm Adaptation Method for Multi-Label Stream Classification using Self-Organizing Maps. ICMLA 2022: 1071-1076 - [c32]Jean R. Ponciano, Claudio D. G. Linhares, Luis E. C. Rocha, Elaine R. Faria, Bruno A. N. Travençolo:
Combining clutter reduction methods for temporal network visualization. SAC 2022: 1748-1755 - [c31]Mateus Curcino de Lima, Elaine R. Faria, Maria Camila Nardini Barioni:
HubISC: um novo algoritmo baseado em hubness para a classificação de fluxo de dados de imagens. SBBD 2022: 138-150 - [c30]Lara Mondini Martins, Cássio De Alcantara, Maria Camila Nardini Barioni, Luiz Carlos De Oliveira Júnior, Elaine Ribeiro de Faria:
A method for analysis of human temperament in contrast to social network data. WebMedia 2022: 19-27 - 2021
- [j7]Jean R. Ponciano, Claudio D. G. Linhares, Elaine R. Faria, Bruno A. N. Travençolo:
An online and nonuniform timeslicing method for network visualisation. Comput. Graph. 97: 170-182 (2021) - [j6]Jean R. Ponciano, Claudio D. G. Linhares, Luis E. C. Rocha, Elaine R. Faria, Bruno A. N. Travençolo:
A streaming edge sampling method for network visualization. Knowl. Inf. Syst. 63(7): 1717-1743 (2021) - [c29]Mateus Curcino de Lima, Alex J. S. de Abreu, Elaine R. Faria, Maria Camila Nardini Barioni:
Evaluating the Construction of Feature Descriptors in the Performance of the Image Data Stream Classification. CIARP 2021: 327-339 - [c28]Rafael D. Ricci, Elaine R. Faria, Rodrigo Sanches Miani, Paulo Henrique Ribeiro Gabriel:
Social Security Reform in Brazil: A Twitter Sentiment Analysis. EGOVIS 2021: 143-154 - [c27]Gilberto Olimpio, Pedro F. C. Silva, Lásaro J. Camargos, Rodrigo Sanches Miani, Elaine Ribeiro de Faria:
Intrusion Detection over Network Packets using Data Stream Classification Algorithms. ICTAI 2021: 985-990 - [c26]Ricardo Cerri, Joel David Costa Júnior, Elaine R. Faria, João Gama:
A new self-organizing map based algorithm for multi-label stream classification. SAC 2021: 418-426 - [c25]Isabella Tannús Corrêa, Elaine Ribeiro de Faria:
An analysis of violence against women based on victims' reports. SBSI 2021: 35:1-35:8 - 2020
- [j5]Angelo Brayner, Maristela Holanda, Elaine Ribeiro de Faria Paiva:
Editorial. J. Inf. Data Manag. 11(1) (2020) - [c24]Guilherme Henrique Ribeiro, Elaine Ribeiro de Faria Paiva, Rodrigo Sanches Miani:
A comparison of stream mining algorithms on botnet detection. ARES 2020: 62:1-62:10 - [c23]Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria:
Adapting the Markov Chain based Algorithm M-DBScan to Detect Opponents' Strategy Changes in the Dynamic Scenario of a StarCraft Player Agent. ICAART (2) 2020: 214-223 - [c22]Mateus Curcino de Lima, Maria Camila Nardini Barioni, Elaine R. Faria, Humberto Luiz Razente:
EVISClass: a new evaluation method for image data stream classifiers. ICMLA 2020: 399-406 - [i3]Ricardo Cerri, Joel David Costa Júnior, Elaine Ribeiro de Faria Paiva, João Manuel Portela da Gama:
Multi-label Stream Classification with Self-Organizing Maps. CoRR abs/2004.09397 (2020) - [i2]Jean R. Ponciano, Claudio D. G. Linhares, Elaine R. Faria, Bruno Augusto Nassif Travençolo:
An Online and Nonuniform Timeslicing Method for Network Visualisation. CoRR abs/2009.11422 (2020) - [i1]Daniel Alves de Sousa, Elaine Ribeiro de Faria, Rodrigo Sanches Miani:
Evaluating the Performance of Twitter-based Exploit Detectors. CoRR abs/2011.03113 (2020)
2010 – 2019
- 2019
- [c21]Joel D. Costa Júnior, Elaine Ribeiro de Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri:
Novelty Detection for Multi-Label Stream Classification. BRACIS 2019: 144-149 - [c20]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:
Ensemble Clustering for Novelty Detection in Data Streams. DS 2019: 460-470 - [c19]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:
Improving the AHT in Telecommunication Companies by Automatic Modeling of Call Center Service. EPIA (2) 2019: 96-107 - [c18]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:
Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry. EPIA (2) 2019: 120-132 - [c17]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:
Analysis of nematodes in coffee crops at different altitudes using aerial images. EUSIPCO 2019: 1-5 - [c16]Alexandre J. Oliveira, Gleice A. de Assis, Vitor Guizilini, Elaine R. Faria, Jefferson R. Souza:
Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images. ICVS 2019: 274-283 - [c15]Joel D. Costa Júnior, Elaine R. Faria, Jonathan de Andrade Silva, João Gama, Ricardo Cerri:
Pruned Sets for Multi-Label Stream Classification without True Labels. IJCNN 2019: 1-8 - [c14]Guilherme Weigert Cassales, Hermes Senger, Elaine Ribeiro de Faria, Albert Bifet:
IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks. ISCC 2019: 1-7 - [c13]Eldane Vieira Junior, Rita Maria da Silva Julia, Elaine Ribeiro de Faria:
Mining Data Stream to Detect Behavior Change in a Real-Time Strategy Game. MLDM (1) 2019: 146-160 - 2018
- [c12]Paulo G. L. Candido, Jonathan de Andrade Silva, Elaine R. Faria, Murilo Coelho Naldi:
Scalable Batch Stream Clustering with k Estimation. CEC 2018: 1-8 - [c11]Daniela Giacomelli, Elaine Ribeiro de Faria:
Study and Characterization of the Main Tools for Human Activity Recognition using Accelerometer Sensors. SBSI 2018: 37:1-37:8 - [c10]Carla O. Camargo, Elaine R. Faria, Bruno Bogaz Zarpelão, Rodrigo Sanches Miani:
Qualitative evaluation of denial of service datasets. SBSI 2018: 46:1-46:8 - 2017
- [c9]Mariana Alves Pereira, Elaine Ribeiro de Faria Paiva, Murilo Coelho Naldi:
Online Detection of Outliers in Clusters of Continuous Data Streaming. BRACIS 2017: 324-329 - [c8]Paulo G. L. Candido, Murilo Coelho Naldi, Jonathan de Andrade Silva, Elaine R. Faria:
Scalable Data Stream Clustering with k Estimation. BRACIS 2017: 336-341 - [c7]Guilherme Alves, Maria Camila Nardini Barioni, Elaine R. Faria:
A Framework for Online Clustering Based on Evolving Semi-Supervision. SBBD 2017: 16-27 - 2016
- [j4]Elaine R. Faria, Isabel J. C. R. Gonçalves, André C. P. L. F. de Carvalho, João Gama:
Novelty detection in data streams. Artif. Intell. Rev. 45(2): 235-269 (2016) - [j3]Elaine Ribeiro de Faria, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
MINAS: multiclass learning algorithm for novelty detection in data streams. Data Min. Knowl. Discov. 30(3): 640-680 (2016) - 2015
- [j2]Elaine Ribeiro de Faria, Isabel Ribeiro Gonçalves, João Gama, André Carlos Ponce de Leon Ferreira de Carvalho:
Evaluation of Multiclass Novelty Detection Algorithms for Data Streams. IEEE Trans. Knowl. Data Eng. 27(11): 2961-2973 (2015) - [c6]Emilia Alves Nogueira, Ernani Viriato de Melo, Elaine Ribeiro de Faria, Denise Guliato:
IKB-MS: A Collaborative Filtering Approach Associated with Human Visual Attention for Clothing Recommendation. WebMedia 2015: 149-156 - 2014
- [b1]Elaine Ribeiro de Faria Paiva:
Novelty detection in multiclass data streams. University of São Paulo, Brazil, 2014 - 2013
- [j1]Jonathan de Andrade Silva, Elaine R. Faria, Rodrigo C. Barros, Eduardo R. Hruschka, André Carlos Ponce de Leon Ferreira de Carvalho, João Gama:
Data stream clustering: A survey. ACM Comput. Surv. 46(1): 13:1-13:31 (2013) - [c5]Elaine R. Faria, Isabel J. C. R. Gonçalves, João Gama, André C. P. L. F. de Carvalho:
Evaluation Methodology for Multiclass Novelty Detection Algorithms. BRACIS 2013: 19-25 - [c4]Elaine R. Faria, João Gama, André C. P. L. F. de Carvalho:
Novelty detection algorithm for data streams multi-class problems. SAC 2013: 795-800 - 2012
- [c3]Elaine R. Faria, Rodrigo C. Barros, João Gama, André C. P. L. F. de Carvalho:
Improving the offline clustering stage of data stream algorithms in scenarios with variable number of clusters. SAC 2012: 829-830
2000 – 2009
- 2005
- [c2]Elaine Ribeiro de Faria, Denise Guliato, Jean Carlo de Sousa Santos:
Segmentation and Centromere Locating Methods Applied to Fish Chromosomes Images. BSB 2005: 181-189 - 2004
- [c1]Elaine Ribeiro de Faria, Denise Guliato, Jean Carlo de Sousa Santos, Sandra Morelli:
Segmentação de Cromossomos de Peixe Usando Conjuntos Difusos. WOB 2004: 121-124
Coauthor Index
aka: André Carlos Ponce de Leon Ferreira de Carvalho
aka: João Manuel Portela da Gama
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last updated on 2024-08-23 18:36 CEST by the dblp team
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