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José Everardo Bessa Maia
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2020 – today
- 2024
- [j7]Silas Santiago Lopes Pereira
, José Everardo Bessa Maia
MC-MIL: video surveillance anomaly detection with multi-instance learning and multiple overlapped cameras. Neural Comput. Appl. 36(18): 10527-10543 (2024) - [c33]Silas Santiago Lopes Pereira, José Everardo Bessa Maia, Hugo Proença:
Video Anomaly Detection in Overlapping Data: The More Cameras, the Better? IJCB 2024: 1-10 - 2023
- [i6]Silas Santiago Lopes Pereira, José Everardo Bessa Maia:
A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views. CoRR abs/2307.00562 (2023) - [i5]Thayanne França da Silva, José Everardo Bessa Maia:
Detecting Evidence of Organization in groups by Trajectories. CoRR abs/2309.00172 (2023) - 2022
- [j6]Silas Santiago Lopes Pereira
Weakly Supervised Video Anomaly Detection Combining Deep Features with Shallow Neural Networks. J. Braz. Comput. Soc. 28(1): 69-79 (2022) - [c32]Silas Santiago Lopes Pereira
A Wrapper Approach for Video Anomaly Detection Applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting. BRACIS (2) 2022: 558-573 - [c31]Silas Santiago Lopes Pereira
Improving MIL Video Anomaly Detection Concatenating Deep Features of Video Clips. ISDA (1) 2022: 370-379 - [c30]Jéferson do Nascimento Soares
Improving the Categorization of Intent of a Chatbot in Portuguese with Data Augmentation Obtained by Reverse Translation. ISDA (2) 2022: 418-427 - [c29]Thayanne França da Silva
Comparing SVM and Random Forest in Patterned Gesture Phase Recognition in Visual Sequences. ISDA (2) 2022: 455-464 - [c28]Antonio Leandro Martins Candido
Detecting Urgent Instructor Intervention Need in Learning Forums with a Domain Adaptation. ISDA (2) 2022: 502-512 - [i4]Afonso Fontes, José Everardo Bessa Maia:
Visual Odometry for RGB-D Cameras. CoRR abs/2203.15119 (2022) - 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) - [j4]Afonso Celso Del Nero Gomes
Contributions of ENADE to the Assessment of Control and Automation Engineering in Brazil. IEEE Trans. Educ. 64(2): 124-132 (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 - [c26]André Luis Ferreira Sá, José Everardo Bessa Maia
A Discriminant Function Controller for Elevator Groups Evolved by Genetic Algorithm. ISDA 2020: 225-235 - [c25]Nator J. C. da Costa, José Everardo Bessa Maia
A Phase Memory Controller for Isolated Intersection Traffic Signals. ISDA 2020: 302-311 - [c24]Flávio R. S. Nunes, Crislânio de S. Macêdo, Jéferson do N. Soares
Fuzzy-Probabilistic Approach for Dense Wireless Sensor Network. ISDA 2020: 1018-1027 - [i3]José Everardo Bessa Maia, Levi P. Figueredo:
Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions. CoRR abs/2002.05294 (2020) - [i2]José Everardo Bessa Maia, Gildácio J. de A. Sá:
Processing topical queries on images of historical newspaper pages. CoRR abs/2002.08500 (2020)
2010 – 2019
- 2019
- [j3]Fabiano Tavares da Silva, José Everardo Bessa Maia:
Query Expansion in Text Information Retrieval with Local Context and Distributional Model. J. Digit. Inf. Manag. 17(6): 313 (2019) - 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
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
Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN. SAC 2015: 589-591 - [i1]Silas Santiago Lopes Pereira, José Everardo Bessa Maia, Jorge Luiz de Castro e Silva:
ITCM: A Real Time Internet Traffic Classifier Monitor. CoRR abs/1501.01321 (2015) - 2014
- [c19]Silas Santiago Lopes Pereira, Jorge Luiz de Castro e Silva, José Everardo Bessa Maia:
NTCS: A real time flow-based network traffic classification system. CNSM 2014: 368-371 - [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
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
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
Network traffic prediction using PCA and K-means. NOMS 2010: 938-941 - [c9]Tales Benigno Matos, Angelo Brayner
Towards in-network data prediction in wireless sensor networks. SAC 2010: 592-596
2000 – 2009
- 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 - [c7]José Everardo Bessa Maia, Arnoldo N. da Silva, Jorge Luiz de Castro e Silva, Paulo Roberto Freire Cunha
A Methodology of Traffic Engineering to IP Backbone. IPOM 2009: 173-179 - [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
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
Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms. ICONIP (1) 2008: 1180-1187 - [c3]Raimir Holanda Filho
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
Using Statistical Discriminators and Cluster Analysis to P2P and Attack Traffic Monitoring. LANOMS 2007: 68-77
Coauthor Index
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last updated on 2024-11-27 20:30 CET by the dblp team
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