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José Everardo Bessa Maia
Publications
- 2023
- [i5]Thayanne França da Silva, José Everardo Bessa Maia:
Detecting Evidence of Organization in groups by Trajectories. CoRR abs/2309.00172 (2023) - 2022
- [c29]Thayanne França da Silva, José Everardo Bessa Maia:
Comparing SVM and Random Forest in Patterned Gesture Phase Recognition in Visual Sequences. ISDA (2) 2022: 455-464 - 2021
- [j5]João Pedro Bernardino Andrade, José Everardo Bessa Maia, Gustavo Augusto L. de Campos:
Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation. RITA 28(2): 39-49 (2021) - 2020
- [c27]João P. B. Andrade, Thayanne F. da Silva, Raimundo Juracy Campos Ferro Junior, José E. Bessa Maia, Gustavo A. L. de Campos:
Cooperative Target Observation using Density-based Clustering with Self-tuning and a New Grid Environment. CLEI 2020: 33-38 - 2018
- [c23]João P. B. Andrade, Robson Oliveira, Thayanne F. da Silva, José E. Bessa Maia, Gustavo A. L. de Campos:
Organization/fuzzy Approach to the CTO Problem. BRACIS 2018: 444-449 - 2017
- [j2]Fernando R. Almeida, Angelo Brayner, Joel J. P. C. Rodrigues, José Everardo Bessa Maia:
Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering. Sensors 17(6): 1317 (2017) - 2016
- [c22]Fernando R. Almeida, Angelo Brayner, Joel J. P. C. Rodrigues, José Everardo Bessa Maia:
Fractal Clustering and similarity measure: Two new approaches for reducing energy consumption in Wireless Sensor Networks. ICUFN 2016: 288-293 - 2015
- [c21]Thiago Gomes Nepomuceno da Silva, José Everardo Bessa Maia, Leonardo Sampaio Rocha:
An approach to the MOGAS initialization problem using an algorithm based on path relinking. SAC 2015: 118-124 - [c20]Fernando Rodrigues, Angelo Brayner, José Everardo Bessa Maia:
Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN. SAC 2015: 589-591 - 2014
- [c18]Heitor B. Chrisóstomo, José Everardo Bessa Maia, Thelmo P. de Araújo:
Pixel Classification and Heuristics for Facial Feature Localization. IDEAL 2014: 167-174 - [c17]Victor R. S. Laboreiro, Thelmo P. de Araújo, José Everardo Bessa Maia:
A texture analysis approach to supervised face segmentation. ISCC 2014: 1-6 - [c16]Thiago Gomes Nepomuceno da Silva, Leonardo Sampaio Rocha, José Everardo Bessa Maia:
An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem. MICAI (2) 2014: 25-37 - 2013
- [c15]José Everardo Bessa Maia, Angelo Brayner:
Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks. SAC 2013: 554-559 - 2012
- [c14]Victor R. S. Laboreiro, José Everardo Bessa Maia, Thelmo P. de Araújo:
Face Segmentation Using Projection Pursuit for Texture Classification. IDEAL 2012: 237-244 - 2011
- [j1]José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho:
Visual object tracking by an evolutionary self-organizing neural network. J. Intell. Fuzzy Syst. 22(2-3): 69-81 (2011) - [c13]Victor Pasknel de Alencar Ribeiro, Raimir Holanda Filho, José Everardo Bessa Maia:
Online traffic classification based on sub-flows. Integrated Network Management 2011: 415-421 - [c12]José Everardo Bessa Maia, Guilherme De A. Barreto, André Luís Vasconcelos Coelho:
Evolving a Self-Organizing Feature Map for Visual Object Tracking. WSOM 2011: 121-130 - 2010
- [c11]José Everardo Bessa Maia, Raimir Holanda Filho:
Internet traffic classification using a Hidden Markov Model. HIS 2010: 37-42 - [c10]Raimir Holanda Filho, José Everardo Bessa Maia:
Network traffic prediction using PCA and K-means. NOMS 2010: 938-941 - [c9]Tales Benigno Matos, Angelo Brayner, José Everardo Bessa Maia:
Towards in-network data prediction in wireless sensor networks. SAC 2010: 592-596 - 2009
- [c8]José Everardo Bessa Maia, Raimir Holanda Filho:
One-Against-All Methodology for Features Selection and Classification of Internet Applications. IPOM 2009: 27-38 - [c6]José Everardo Bessa Maia, Joaquim Celestino Jr.:
Approximate analysis of a multiple geocast routing among geographical regions in VANET applications. VNC 2009: 1-6 - 2008
- [c5]José Everardo Bessa Maia, Guilherme De A. Barreto, André L. V. Coelho:
On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm. HIS 2008: 661-666 - [c4]José Everardo Bessa Maia, André L. V. Coelho, Guilherme De A. Barreto:
Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. ICONIP (1) 2008: 1180-1187 - [c3]Raimir Holanda Filho, Marcus Fabio Fontenelle do Carmo, José Everardo Bessa Maia, G. P. Siqueira:
An Internet traffic classification methodology based on statistical discriminators. NOMS 2008: 907-910 - [c2]Tales Benigno Matos, Angelo Brayner, José Everardo Bessa Maia:
Agregação e Predição de Dados Em Rede com Precisão Ajustável no Processamento de Consultas em Redes de Sensores Sem Fio. SBBD 2008: 150-164 - 2007
- [c1]Marcus Fabio Fontenelle do Carmo, Gabriel P. Siqueira Juinior, Raimir Holanda Filho, José Everardo Bessa Maia, José Neuman de Souza:
Using Statistical Discriminators and Cluster Analysis to P2P and Attack Traffic Monitoring. LANOMS 2007: 68-77
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