Eduardo Bezerra

According to our database, Eduardo Bezerra authored at least 38 papers between 1999 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models.

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara

Trans. Large Scale Data Knowl. Centered Syst., 2023

A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks.

Luis Japa, Marcello Serqueira, Israel Mendonça, Masayoshi Aritsugi, Eduardo Bezerra, Pedro Henrique González

IEEE Access, 2023

Assessing the 3D Position of a Car with a Single 2D Camera Using Siamese Networks.

Youssef Bel Haj Yahia, Júlio Castro Lopes, Eduardo Bezerra, Pedro João Rodrigues, Rui Pedro Lopes

Proceedings of the Optimization, Learning Algorithms and Applications, 2023

NailP at eRisk 2023: Search for Symptoms of Depression.

Eduardo Bezerra, Leonardo Ferreira dos Santos, Rodolpho Nascimento, Rui Pedro Lopes, Gustavo Paiva Guedes

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results.

Fábio Porto, Mariza Ferro, Eduardo S. Ogasawara, Thiago Moeda, Claudio Daniel Tenorio de Barros, Anderson Chaves da Silva, Rocío Zorrilla, Rafael Silva Pereira, Rafaela Nascimento Castro, João Victor Silva, Rebecca Salles, Augusto José Fonseca, Juliana Hermsdorff, Marcelo Magalhães, Vitor Sá, Adolfo Simões, Carlos Cardoso, Eduardo Bezerra

Supercomput. Front. Innov., 2022

TSPred: A framework for nonstationary time series prediction.

Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Neurocomputing, 2022

A horizontal partitioning-based method for frequent pattern mining in transport timetable.

Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara

Expert Syst. J. Knowl. Eng., 2022

Comparison of Machine Learning Pipelines for Gene Expression Matrices.

Mateus Devino, Kele T. Belloze, Eduardo Bezerra

Proceedings of the Advances in Bioinformatics and Computational Biology, 2022

Towards Robust Cluster-Based Hyperparameter Optimization.

Leonardo Izaú, Mariana Fortes, Vítor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara

Proceedings of the 37th Brazilian Symposium on Databases, 2022

A conjugated evolutionary algorithm for hyperparameter optimization.

Luis Japa, Marcello Serqueira, Israel Mendonça, Eduardo Bezerra, Masayoshi Aritsugi, Pedro Henrique González

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting.

Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra

Neurocomputing, 2021

Análise de métodos de tratamento de outliers para predição dos retornos de índices de ações negociados em bolsa.

Cristiane Gea, Janio Lima, Eduardo Bezerra, Eduardo S. Ogasawara

Proceedings of the 36th Brazilian Symposium on Databases, 2021

Prescriptive Analytics in Smart Cities: A Combinatorial Approach in Rescue Operations.

Igor Morais, Vanessa de Almeida Guimarães, Eduardo Bezerra da Silva, Pedro Henrique González

Proceedings of the Smart Cities - 4th Ibero-American Congress, 2021

Bio-Inspired Protocols for Embodied Multi-Agent Systems.

Vinicius Souza de Jesus, Carlos Eduardo Pantoja, Fabian Cesar Pereira Brandão Manoel, Gleifer Vaz Alves, José Viterbo, Eduardo Bezerra

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.

Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara

J. Biomed. Informatics, 2020

A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks.

Marcello Serqueira, Pedro Henrique González, Eduardo Bezerra

CoRR, 2020

Um Estudo Comparativo do Uso de Abordagens de Comitês de Regressão para Imputação hot-deck.

Thiago da Silva Pereira, Eduardo Bezerra da Silva, Jorge de Abreu Soares

Proceedings of the 35th Brazilian Symposium on Databases, 2020

2019

Link prediction in social networks: combining topological and contextual data in a community detection based method.

Camila Mesquita de Moraes, Eduardo Bezerra, Ronaldo R. Goldschmidt

Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019

A Science Gateway to Support Research in Spectral Graph Theory.

Daniel de Oliveira, Carlos Magno Abreu, Eduardo S. Ogasawara, Eduardo Bezerra, Leonardo Silva de Lima

Proceedings of the 34th Brazilian Symposium on Databases, 2019

Designing Dojo: a collaborative method for teaching design patterns.

Felipe Mello Fonseca, Eduardo Bezerra da Silva, Diogo Silveira Mendonça

Proceedings of the 12th International Workshop on Cooperative and Human Aspects of Software Engineering, 2019

A Deep Reinforcement Learning Approach to Asset-Liability Management.

Alan Fontoura, Diego Barreto Haddad, Eduardo Bezerra

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks.

Ramon Silva, Augusto José Fonseca, Ronaldo R. Goldschmidt, Joel A. F. dos Santos, Eduardo Bezerra

Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018

A Spatiotemporal Ensemble Approach to Rainfall Forecasting.

Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization.

Raphael Abreu, Joel A. F. dos Santos, Eduardo Bezerra

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evaluating the Complementarity of Communication Tools for Learning Platforms.

Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara

Proceedings of the 10th International Conference on Computer Supported Education, 2018

2017

A Mixed Graph Framework to evaluate the complementarity of communication Tools.

Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara

PeerJ Prepr., 2017

A framework for benchmarking machine learning methods using linear models for univariate time series prediction.

Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016

Discovering top-k non-redundant clusterings in attributed graphs.

Gustavo Paiva Guedes, Eduardo S. Ogasawara, Eduardo Bezerra, Geraldo Xexéo

Neurocomputing, 2016

Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean.

Rebecca Salles, Patricia Mattos, Ana-Maria Dubois Iorgulescu, Eduardo Bezerra, Leonardo Silva de Lima, Eduardo S. Ogasawara

Ecol. Informatics, 2016

Gender Differences in the Use of Portuguese in Social Networks: Evidence from LIWC.

Gustavo Paiva Guedes, Eduardo Bezerra, Lilian Ferrari, Fellipe Duarte

Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

Exploring machine learning methods for the Star/Galaxy Separation Problem.

Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015

Evaluating Linear Models as a Baseline for Time Series Imputation.

Rebecca Salles, Eduardo Bezerra, Jorge de Abreu Soares, Eduardo S. Ogasawara

Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015

Exploring multiple clusterings in attributed graphs.

Gustavo Paiva Guedes, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

Amê: an environment to learn and analyze adversarial search algorithms using stochastic card games.

Ana Beatriz Cruz, Leonardo Preuss, João Quadros, Uéverton S. Souza, Sabrina Serique, Angélica Ogasawara, Eduardo Bezerra, Eduardo S. Ogasawara

Proceedings of the 30th Annual ACM Symposium on Applied Computing, 2015

2014

MAM: Método para Agrupamentos Múltiplos em Redes Sociais Online Baseado em Emoções, Personalidades e Textos.

Gustavo Paiva Guedes e Silva, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo

Braz. J. Inf. Syst., 2014

2013

A Forecasting Method for Fertilizers Consumption in Brazil.

Eduardo S. Ogasawara, Daniel de Oliveira, Fabio Paschoal Junior, Rafael Castañeda, Myrna Amorim, Renato Mauro, Jorge de Abreu Soares, João Quadros, Eduardo Bezerra

Int. J. Agric. Environ. Inf. Syst., 2013

2006

Semi-Supervised Clustering of XML Documents: Getting the Most from Structural Information.

Eduardo Bezerra da Silva, Marta Mattoso, Geraldo Xexéo

Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

1999

Uma Primitiva para dar Suporte à Obtenção de Resumos Estatísticos para Clasificação em Mineração de Dados.

Eduardo Bezerra da Silva, Geraldo Xexéo

Proceedings of the XIV Simpósio Brasileiro de Banco de Dados, 1999