José Everardo Bessa Maia

发表

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, 2015, SAC.

A texture analysis approach to supervised face segmentation

Thelmo P. de Araujo, José Everardo Bessa Maia, Victor R. S. Laboreiro, 2014, 2014 IEEE Symposium on Computers and Communications (ISCC).

Internet traffic classification using a Hidden Markov Model

Raimir Holanda Filho, José Everardo Bessa Maia, 2010, 2010 10th International Conference on Hybrid Intelligent Systems.

Evolving a Self-Organizing Feature Map for Visual Object Tracking

Guilherme De A. Barreto, André L. V. Coelho, José Everardo Bessa Maia, 2011, WSOM.

Using Statistical Discriminators and Cluster Analysis to P2P and Attack Traffic Monitoring

Raimir Holanda Filho, José Everardo Bessa Maia, Marcus Fabio Fontenelle do Carmo, 2007, 2007 Latin American Network Operations and Management Symposium.

Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms

Guilherme De A. Barreto, André L. V. Coelho, José Everardo Bessa Maia, 2008, ICONIP.

Online traffic classification based on sub-flows

Raimir Holanda Filho, José Everardo Bessa Maia, Victor Pasknel de Alencar Ribeiro, 2011, 12th IFIP/IEEE International Symposium on Integrated Network Management (IM 2011) and Workshops.

Acknowledgment to Reviewers

Constantin Adam, Paolo Bellavista, Asma Ben Letaifa, 2018, Journal of Network and Systems Management.

An Internet traffic classification methodology based on statistical discriminators

Raimir Holanda Filho, José Everardo Bessa Maia, Marcus Fabio Fontenelle do Carmo, 2008, NOMS 2008 - 2008 IEEE Network Operations and Management Symposium.

Approximate analysis of a multiple geocast routing among geographical regions in VANET applications

José Everardo Bessa Maia, Joaquim Celestino, 2009, 2009 IEEE Vehicular Networking Conference (VNC).

Face Segmentation Using Projection Pursuit for Texture Classification

Thelmo P. de Araujo, José Everardo Bessa Maia, Victor R. S. Laboreiro, 2012, IDEAL.

Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering

Angelo Brayner, Joel J. P. C. Rodrigues, José Everardo Bessa Maia, 2017, Sensors.

Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN

Angelo Brayner, José Everardo Bessa Maia, Fernando Rodrigues, 2015, SAC.

An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem

Thiago Gomes Nepomuceno da Silva, José Everardo Bessa Maia, Leonardo Sampaio Rocha, 2014, MICAI.

Fractal Clustering and similarity measure: Two new approaches for reducing energy consumption in Wireless Sensor Networks

Angelo Brayner, Joel J. P. C. Rodrigues, José Everardo Bessa Maia, 2016, 2016 Eighth International Conference on Ubiquitous and Future Networks (ICUFN).

Agregação e Predição de Dados Em Rede com Precisão Ajustável no Processamento de Consultas em Redes de Sensores Sem Fio

Angelo Brayner, José Everardo Bessa Maia, Tales Benigno Matos, 2008, SBBD.

Detection of the Presence of Safety Helmets on Motorcyclists Using Active Appearance Models

Thelmo P. de Araujo, José Everardo Bessa Maia, Felipe Jose Aguiar Maia, 2018 .

One-Against-All Methodology for Features Selection and Classification of Internet Applications

Raimir Holanda Filho, José Everardo Bessa Maia, J. Maia, 2009, IPOM.

Towards in-network data prediction in wireless sensor networks

Angelo Brayner, José Everardo Bessa Maia, Tales Benigno Matos, 2010, SAC '10.

ITCM: A Real Time Internet Traffic Classifier Monitor pdf

José Everardo Bessa Maia, Jorge Luiz de Castro e Silva, Silas Santiago Lopes Pereira, 2014, ArXiv.

Query Expansion based on Local Distributional Thesauri

José Everardo Bessa Maia, Fabiano Tavares Da Silva, J. Maia, 2018, Anais do XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2018).

Network traffic prediction using PCA and K-means

Raimir Holanda Filho, José Everardo Bessa Maia, J. Maia, 2010, 2010 IEEE Network Operations and Management Symposium - NOMS 2010.

NTCS: A real time flow-based network traffic classification system

José Everardo Bessa Maia, Jorge Luiz de Castro e Silva, Silas Santiago Lopes Pereira, 2014, 10th International Conference on Network and Service Management (CNSM) and Workshop.

Luppar: An Information Retrieval System for Closed Document Collections

José Everardo Bessa Maia, Fabiano Tavares Da Silva, 2018 .

A Methodology of Traffic Engineering to IP Backbone

Paulo Roberto Freire Cunha, José Everardo Bessa Maia, Arnoldo N. da Silva, 2009, IPOM.

Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks

Angelo Brayner, José Everardo Bessa Maia, 2013, SAC '13.

On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm

Guilherme De A. Barreto, André L. V. Coelho, José Everardo Bessa Maia, 2008, 2008 Eighth International Conference on Hybrid Intelligent Systems.

Visual object tracking by an evolutionary self-organizing neural network

Guilherme De A. Barreto, André L. V. Coelho, José Everardo Bessa Maia, 2011, J. Intell. Fuzzy Syst..

Pixel Classification and Heuristics for Facial Feature Localization

Thelmo P. de Araujo, José Everardo Bessa Maia, Heitor B. Chrisóstomo, 2014, IDEAL.

Anomaly Detection in Surveillance Video of Natural Environment

José Everardo Bessa Maia, Silas S. L. Pereira, Silas Santiago Lopes Pereira, 2021, International Journal of Computer Applications.

Retrieving and Processing Images from the Pages of a Historical Newspaper and Modeling the Text Topics

José Everardo Bessa Maia, Gildácio J. de A. Sá, 2021 .