Using Statistical Discriminators and Cluster Analysis to P2P and Attack Traffic Monitoring. - Marcus Fabio Fontenelle do Carmo; Gabriel P. Siqueira Juinior; Raimir Holanda Filho; José Everardo Bessa Maia; José Neuman de Souza (LANOMS, 2007)

On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm. - José Everardo Bessa Maia; Guilherme De A. Barreto; André L. V. Coelho (HIS, 2008)

Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. - José Everardo Bessa Maia; André L. V. Coelho; Guilherme De A. Barreto (ICONIP (1), 2008)

An Internet traffic classification methodology based on statistical discriminators. - Raimir Holanda Filho; Marcus Fabio Fontenelle do Carmo; José Everardo Bessa Maia; G. P. Siqueira (NOMS, 2008)

Agregação e Predição de Dados Em Rede com Precisão Ajustável no Processamento de Consultas em Redes de Sensores Sem Fio. - Tales Benigno Matos; Angelo Brayner; José Everardo Bessa Maia (SBBD, 2008)

One-Against-All Methodology for Features Selection and Classification of Internet Applications. - José Everardo Bessa Maia; Raimir Holanda Filho (IPOM, 2009)

A Methodology of Traffic Engineering to IP Backbone. - José Everardo Bessa Maia; Arnoldo N. da Silva; Jorge Luiz de Castro e Silva; Paulo Roberto Freire Cunha (IPOM, 2009)

Approximate analysis of a multiple geocast routing among geographical regions in VANET applications. - José Everardo Bessa Maia; Joaquim Celestino Jr. (VNC, 2009)

Internet traffic classification using a Hidden Markov Model. - José Everardo Bessa Maia; Raimir Holanda Filho (HIS, 2010)

Network traffic prediction using PCA and K-means. - Raimir Holanda Filho; José Everardo Bessa Maia (NOMS, 2010)

Towards in-network data prediction in wireless sensor networks. - Tales Benigno Matos; Angelo Brayner; José Everardo Bessa Maia (SAC, 2010)

Online traffic classification based on sub-flows. - Victor Pasknel de Alencar Ribeiro; Raimir Holanda Filho; José Everardo Bessa Maia (Integrated Network Management, 2011)

Evolving a Self-Organizing Feature Map for Visual Object Tracking. - José Everardo Bessa Maia; Guilherme De A. Barreto; André Luís Vasconcelos Coelho (WSOM, 2011)

Visual object tracking by an evolutionary self-organizing neural network. - José Everardo Bessa Maia; Guilherme De A. Barreto; André L. V. Coelho (J. Intell. Fuzzy Syst., 2011)

Uma nova metaheurística evolucionária para a formação de mapas topologicamente ordenados e extensões - José Everardo Bessa Maia (2011)

Face Segmentation Using Projection Pursuit for Texture Classification. - Victor R. S. Laboreiro; José Everardo Bessa Maia; Thelmo P. de Araújo (IDEAL, 2012)

Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks. - José Everardo Bessa Maia; Angelo Brayner (SAC, 2013)

NTCS: A real time flow-based network traffic classification system. - Silas Santiago Lopes Pereira; Jorge Luiz de Castro e Silva; José Everardo Bessa Maia (CNSM, 2014)

Pixel Classification and Heuristics for Facial Feature Localization. - Heitor B. Chrisóstomo; José Everardo Bessa Maia; Thelmo P. de Araújo (IDEAL, 2014)

A texture analysis approach to supervised face segmentation. - Victor R. S. Laboreiro; Thelmo P. de Araújo; José Everardo Bessa Maia (ISCC, 2014)

An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem. - Thiago Gomes Nepomuceno da Silva; Leonardo Sampaio Rocha; José Everardo Bessa Maia (MICAI (2), 2014)

Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN. - Fernando Rodrigues; Angelo Brayner; José Everardo Bessa Maia (SAC, 2015)

An approach to the MOGAS initialization problem using an algorithm based on path relinking. - Thiago Gomes Nepomuceno da Silva; José Everardo Bessa Maia; Leonardo Sampaio Rocha (SAC, 2015)

ITCM: A Real Time Internet Traffic Classifier Monitor. - Silas Santiago Lopes Pereira; José Everardo Bessa Maia; Jorge Luiz de Castro e Silva (CoRR, 2015)

Fractal Clustering and similarity measure: Two new approaches for reducing energy consumption in Wireless Sensor Networks. - Fernando R. Almeida; Angelo Brayner; Joel J. P. C. Rodrigues; José Everardo Bessa Maia (ICUFN, 2016)

Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering. - Fernando R. Almeida; Angelo Brayner; Joel J. P. C. Rodrigues; José Everardo Bessa Maia (Sensors, 2017)

Organization/fuzzy Approach to the CTO Problem. - João P. B. Andrade; Robson Oliveira; Thayanne F. da Silva; José E. Bessa Maia; Gustavo A. L. de Campos (BRACIS, 2018)

Query Expansion in Text Information Retrieval with Local Context and Distributional Model. - Fabiano Tavares da Silva; José Everardo Bessa Maia (J. Digit. Inf. Manag., 2019)

Cooperative Target Observation using Density-based Clustering with Self-tuning and a New Grid Environment. - João P. B. Andrade; Thayanne F. da Silva; Raimundo Juracy Campos Ferro Junior; José E. Bessa Maia; Gustavo A. L. de Campos (CLEI, 2020)

A Phase Memory Controller for Isolated Intersection Traffic Signals. - Nator J. C. da Costa; José Everardo Bessa Maia (ISDA, 2020)

Fuzzy-Probabilistic Approach for Dense Wireless Sensor Network. - Flávio R. S. Nunes; Crislânio de S. Macêdo; Jéferson do N. Soares; Haniel G. Cavalcante; Marcelo Q. L. Brilhante; José Everardo Bessa Maia (ISDA, 2020)

A Discriminant Function Controller for Elevator Groups Evolved by Genetic Algorithm. - André Luis Ferreira Sá; José Everardo Bessa Maia (ISDA, 2020)

Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions. - José Everardo Bessa Maia; Levi P. Figueredo (CoRR, 2020)

Processing topical queries on images of historical newspaper pages. - José Everardo Bessa Maia; Gildácio J. de A. Sá (CoRR, 2020)

Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation. - João Pedro Bernardino Andrade; José Everardo Bessa Maia; Gustavo Augusto L. de Campos (RITA, 2021)

Contributions of ENADE to the Assessment of Control and Automation Engineering in Brazil. - Afonso Celso Del Nero Gomes; Fernando Silveira Madani; José Everardo Bessa Maia; Mauro Conti Pereira; Max Hering de Queiroz (IEEE Trans. Educ., 2021)

A Wrapper Approach for Video Anomaly Detection Applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting. - Silas Santiago Lopes Pereira; José Everardo Bessa Maia (BRACIS (2), 2022)

Detecting Urgent Instructor Intervention Need in Learning Forums with a Domain Adaptation. - Antonio Leandro Martins Candido; José Everardo Bessa Maia (ISDA (2), 2022)

Improving MIL Video Anomaly Detection Concatenating Deep Features of Video Clips. - Silas Santiago Lopes Pereira; José Everardo Bessa Maia (ISDA (1), 2022)

Comparing SVM and Random Forest in Patterned Gesture Phase Recognition in Visual Sequences. - Thayanne França da Silva; José Everardo Bessa Maia (ISDA (2), 2022)

Improving the Categorization of Intent of a Chatbot in Portuguese with Data Augmentation Obtained by Reverse Translation. - Jéferson do Nascimento Soares; José Everardo Bessa Maia (ISDA (2), 2022)

Visual Odometry for RGB-D Cameras. - Afonso Fontes; José Everardo Bessa Maia (CoRR, 2022)

Weakly Supervised Video Anomaly Detection Combining Deep Features with Shallow Neural Networks. - Silas Santiago Lopes Pereira; José Everardo Bessa Maia (J. Braz. Comput. Soc., 2022)

A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views. - Silas Santiago Lopes Pereira; José Everardo Bessa Maia (CoRR, 2023)

Detecting Evidence of Organization in groups by Trajectories. - Thayanne França da Silva; José Everardo Bessa Maia (CoRR, 2023)

Video Anomaly Detection in Overlapping Data: The More Cameras, the Better? - Silas Santiago Lopes Pereira; José Everardo Bessa Maia; Hugo Proença 001 (IJCB, 2024)

MC-MIL: video surveillance anomaly detection with multi-instance learning and multiple overlapped cameras. - Silas Santiago Lopes Pereira; José Everardo Bessa Maia (Neural Comput. Appl., 2024)

Leadership Detection via Time-Lagged Correlation-Based Network Inference. - Thayanne França da Silva; José Everardo Bessa Maia (CoRR, 2025)

Multidimensional classification of posts for online course discussion forum curation. - Antonio Leandro Martins Candido; José Everardo Bessa Maia (CoRR, 2025)