Elaine Ribeiro de Faria

Orcid: 0000-0001-5242-9026

According to our database1, Elaine Ribeiro de Faria authored at least 46 papers between 2004 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2023
Model update for intrusion detection: Analyzing the performance of delayed labeling and active learning strategies.
Comput. Secur., November, 2023

Novelty detection for multi-label stream classification under extreme verification latency.
Appl. Soft Comput., July, 2023

2022
A comprehensive analysis of the diverse aspects inherent to image data stream classification.
Knowl. Inf. Syst., 2022

A method for analysis of human temperament in contrast to social network data.
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.
Proceedings of the 37th Brazilian Symposium on Databases, 2022

Combining clutter reduction methods for temporal network visualization.
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.
Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021
A streaming edge sampling method for network visualization.
Knowl. Inf. Syst., 2021

An online and nonuniform timeslicing method for network visualisation.
Comput. Graph., 2021

An analysis of violence against women based on victims' reports.
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.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

Intrusion Detection over Network Packets using Data Stream Classification Algorithms.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Social Security Reform in Brazil: A Twitter Sentiment Analysis.
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.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2020
Editorial.
J. Inf. Data Manag., 2020

Evaluating the Performance of Twitter-based Exploit Detectors.
CoRR, 2020

Multi-label Stream Classification with Self-Organizing Maps.
CoRR, 2020

EVISClass: a new evaluation method for image data stream classifiers.
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.
Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

A comparison of stream mining algorithms on botnet detection.
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.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2019

IDSA-IoT: An Intrusion Detection System Architecture for IoT Networks.
Proceedings of the 2019 IEEE Symposium on Computers and Communications, 2019

Pruned Sets for Multi-Label Stream Classification without True Labels.
Proceedings of the International Joint Conference on Neural Networks, 2019

Segmenting and Detecting Nematode in Coffee Crops Using Aerial Images.
Proceedings of the Computer Vision Systems, 12th International Conference, 2019

Analysis of nematodes in coffee crops at different altitudes using aerial images.
Proceedings of the 27th European Signal Processing Conference, 2019

Feature-Based Time Series Classification for Service Request Opening Prediction in the Telecom Industry.
Proceedings of the Progress in Artificial Intelligence, 2019


Ensemble Clustering for Novelty Detection in Data Streams.
Proceedings of the Discovery Science - 22nd International Conference, 2019

Novelty Detection for Multi-Label Stream Classification.
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.
Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Qualitative evaluation of denial of service datasets.
Proceedings of the XIV Brazilian Symposium on Information Systems, 2018

Scalable Batch Stream Clustering with k Estimation.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
A Framework for Online Clustering Based on Evolving Semi-Supervision.
Proceedings of the XXXII Simpósio Brasileiro de Banco de Dados, 2017

Online Detection of Outliers in Clusters of Continuous Data Streaming.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

Scalable Data Stream Clustering with k Estimation.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
MINAS: multiclass learning algorithm for novelty detection in data streams.
Data Min. Knowl. Discov., 2016

Novelty detection in data streams.
Artif. Intell. Rev., 2016

2015
Evaluation of Multiclass Novelty Detection Algorithms for Data Streams.
IEEE Trans. Knowl. Data Eng., 2015

IKB-MS: A Collaborative Filtering Approach Associated with Human Visual Attention for Clothing Recommendation.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

2014
Novelty detection in multiclass data streams.
PhD thesis, 2014

2013
Data stream clustering: A survey.
ACM Comput. Surv., 2013

Novelty detection algorithm for data streams multi-class problems.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

Evaluation Methodology for Multiclass Novelty Detection Algorithms.
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.
Proceedings of the ACM Symposium on Applied Computing, 2012

2005
Segmentation and Centromere Locating Methods Applied to Fish Chromosomes Images.
Proceedings of the Advances in Bioinformatics and Computational Biology, 2005

2004
Segmentação de Cromossomos de Peixe Usando Conjuntos Difusos.
Proceedings of the III Brazilian Workshop on Bioinformatics, 2004


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