José Everardo Bessa Maia

Orcid: 0000-0002-4983-1724

According to our database1, José Everardo Bessa Maia authored at least 45 papers between 2007 and 2024.

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

Timeline

Legend:

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Bibliography

2024
MC-MIL: video surveillance anomaly detection with multi-instance learning and multiple overlapped cameras.
Neural Comput. Appl., 2024

2023
Detecting Evidence of Organization in groups by Trajectories.
CoRR, 2023

A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views.
CoRR, 2023

2022
Weakly Supervised Video Anomaly Detection Combining Deep Features with Shallow Neural Networks.
J. Braz. Comput. Soc., 2022

Visual Odometry for RGB-D Cameras.
CoRR, 2022

Improving the Categorization of Intent of a Chatbot in Portuguese with Data Augmentation Obtained by Reverse Translation.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Comparing SVM and Random Forest in Patterned Gesture Phase Recognition in Visual Sequences.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Improving MIL Video Anomaly Detection Concatenating Deep Features of Video Clips.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

Detecting Urgent Instructor Intervention Need in Learning Forums with a Domain Adaptation.
Proceedings of the Intelligent Systems Design and Applications - 22nd International Conference on Intelligent Systems Design and Applications (ISDA 2022) Held December 12-14, 2022, 2022

A Wrapper Approach for Video Anomaly Detection Applying Light Gradient Boosting Machine in a Multiple Instance Learning Setting.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Contributions of ENADE to the Assessment of Control and Automation Engineering in Brazil.
IEEE Trans. Educ., 2021

Centralized Algorithms Based on Clustering with Self-tuning of Parameters for Cooperative Target Observation.
RITA, 2021

2020
Processing topical queries on images of historical newspaper pages.
CoRR, 2020

Cooperative Observation of Targets moving over a Planar Graph with Prediction of Positions.
CoRR, 2020

A Discriminant Function Controller for Elevator Groups Evolved by Genetic Algorithm.
Proceedings of the Intelligent Systems Design and Applications, 2020

Fuzzy-Probabilistic Approach for Dense Wireless Sensor Network.
Proceedings of the Intelligent Systems Design and Applications, 2020

A Phase Memory Controller for Isolated Intersection Traffic Signals.
Proceedings of the Intelligent Systems Design and Applications, 2020

Cooperative Target Observation using Density-based Clustering with Self-tuning and a New Grid Environment.
Proceedings of the XLVI Latin American Computing Conference, 2020

2019
Query Expansion in Text Information Retrieval with Local Context and Distributional Model.
J. Digit. Inf. Manag., 2019

2018
Organization/fuzzy Approach to the CTO Problem.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Improving Multidimensional Wireless Sensor Network Lifetime Using Pearson Correlation and Fractal Clustering.
Sensors, 2017

2016
Fractal Clustering and similarity measure: Two new approaches for reducing energy consumption in Wireless Sensor Networks.
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016

2015
ITCM: A Real Time Internet Traffic Classifier Monitor.
CoRR, 2015

An approach to the MOGAS initialization problem using an algorithm based on path relinking.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Using fractal clustering to explore behavioral correlation: a new approach to reduce energy consumption in WSN.
Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014
An Effective Method for MOGAs Initialization to Solve the Multi-Objective Next Release Problem.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

A texture analysis approach to supervised face segmentation.
Proceedings of the IEEE Symposium on Computers and Communications, 2014

Pixel Classification and Heuristics for Facial Feature Localization.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2014, 2014

NTCS: A real time flow-based network traffic classification system.
Proceedings of the 10th International Conference on Network and Service Management, 2014

2013
Sensor-field modeling based on in-network data prediction: an efficient strategy for answering complex queries in wireless sensor networks.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Face Segmentation Using Projection Pursuit for Texture Classification.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011
Visual object tracking by an evolutionary self-organizing neural network.
J. Intell. Fuzzy Syst., 2011

Evolving a Self-Organizing Feature Map for Visual Object Tracking.
Proceedings of the Advances in Self-Organizing Maps - 8th International Workshop, 2011

Online traffic classification based on sub-flows.
Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, 2011

2010
Towards in-network data prediction in wireless sensor networks.
Proceedings of the 2010 ACM Symposium on Applied Computing (SAC), 2010

Network traffic prediction using PCA and K-means.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium, 2010

Internet traffic classification using a Hidden Markov Model.
Proceedings of the 10th International Conference on Hybrid Intelligent Systems (HIS 2010), 2010

2009
Approximate analysis of a multiple geocast routing among geographical regions in VANET applications.
Proceedings of the IEEE Vehicular Networking Conference, 2009

A Methodology of Traffic Engineering to IP Backbone.
Proceedings of the IP Operations and Management, 9th IEEE International Workshop, 2009

One-Against-All Methodology for Features Selection and Classification of Internet Applications.
Proceedings of the IP Operations and Management, 9th IEEE International Workshop, 2009

2008
Agregação e Predição de Dados Em Rede com Precisão Ajustável no Processamento de Consultas em Redes de Sensores Sem Fio.
Proceedings of the XXIII Simpósio Brasileiro de Banco de Dados, 2008

An Internet traffic classification methodology based on statistical discriminators.
Proceedings of the IEEE/IFIP Network Operations and Management Symposium: Pervasive Management for Ubioquitous Networks and Services, 2008

Directly Optimizing Topology-Preserving Maps with Evolutionary Algorithms.
Proceedings of the Advances in Neuro-Information Processing, 15th International Conference, 2008

On Self-Organizing Feature Map (SOFM) Formation by Direct Optimization Through a Genetic Algorithm.
Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS 2008), 2008

2007
Using Statistical Discriminators and Cluster Analysis to P2P and Attack Traffic Monitoring.
Proceedings of the 2007 Latin American Network Operations and Management Symposium, 2007


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