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Eduardo Bezerra

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

6

Active years

2015–2025

Best venue rank

B

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2025FUSIONTowards a Spatiotemporal Fusion Approach to Precipitation Nowcasting.Felipe Curcio, Pedro Castro, Augusto Jos Fonseca, Rafaela Castro, Raquel Franco, Eduardo S. Ogasawara, Victor Stepanenko, Fbio Porto, Mariza Ferro, Eduardo Bezerra
2024IJCNNREMD: A Novel Hybrid Anomaly Detection Method Based on EMD and ARIMA.Jssica Souza, Ellen Paixo Silva, Fernando Fraga, Las Baroni, Ronaldo Fernandes Santos Alves, Kele T. Belloze, Joel A. F. dos Santos, Eduardo Bezerra, Fbio Porto, Eduardo S. Ogasawara
2022CECA conjugated evolutionary algorithm for hyperparameter optimization.Luis Japa, Marcello Serqueira, Israel Mendona, Eduardo Bezerra, Masayoshi Aritsugi, Pedro Henrique Gonzlez
2022IJCNNExploring Data Preprocessing and Machine Learning Methods for Forecasting Worldwide Fertilizers Consumption.Carla Pacheco, Mrio Guimares, Eduardo Bezerra
2021ICAARTBio-Inspired Protocols for Embodied Multi-Agent Systems.Vinicius Souza de Jesus, Carlos Eduardo Pantoja, Fabian Cesar Pereira Brando Manoel, Gleifer Vaz Alves, Jos Viterbo, Eduardo Bezerra
2018CSEDUEvaluating the Complementarity of Communication Tools for Learning Platforms.Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fbio Porto, Rafael Barbastefano, Eduardo S. Ogasawara
2018IJCNNA Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization.Raphael Abreu, Joel A. F. dos Santos, Eduardo Bezerra
2018IJCNNA Spatiotemporal Ensemble Approach to Rainfall Forecasting.Yania Molina Souto, Fbio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra
2017IJCNNA framework for benchmarking machine learning methods using linear models for univariate time series prediction.Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fbio Porto, Eduardo S. Ogasawara
2016IJCNNExploring 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
2015SACAm: an environment to learn and analyze adversarial search algorithms using stochastic card games.Ana Beatriz Cruz, Leonardo Preuss, Joo Quadros, Uverton S. Souza, Sabrina Serique, Anglica Ogasawara, Eduardo Bezerra, Eduardo S. Ogasawara
2015SACExploring multiple clusterings in attributed graphs.Gustavo Paiva Guedes, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexo