Eduardo Bezerra

Publication Activity (10 Years)

Years Active: 2013-2023
Publications (10 Years): 30

Top Topics

Weather Forecasting

Multiple Clusterings

Top Venues

Publications

Eduardo Bezerra, Leonardo dos Santos, Rodolpho Nascimento, Rui Pedro Lopes, Gustavo Paiva Guedes
NailP at eRisk 2023: Search for Symptoms of Depression. CLEF (Working Notes) (2023)
Luis Japa, Marcello Serqueira, Israel Mendonça, Masayoshi Aritsugi, Eduardo Bezerra, Pedro Henrique González
A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks. IEEE Access 11 (2023)
Youssef Bel Haj Yahia, Júlio Castro Lopes, Eduardo Bezerra, Pedro João Rodrigues, Rui Pedro Lopes
Assessing the 3D Position of a Car with a Single 2D Camera Using Siamese Networks. OL2A (2) (2023)
Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Celso Marques, Carla Pacheco, Carla Oliveira, Fábio Porto, Eduardo S. Ogasawara
TSPredIT: Integrated Tuning of Data Preprocessing and Time Series Prediction Models. Trans. Large Scale Data Knowl. Centered Syst. 54 (2023)
Luis Japa, Marcello Serqueira, Israel Mendonça, Eduardo Bezerra, Masayoshi Aritsugi, Pedro Henrique González
A conjugated evolutionary algorithm for hyperparameter optimization. CEC (2022)
Leonardo Izaú, Mariana Fortes, Vitor Ribeiro, Celso Marques, Carla Oliveira, Eduardo Bezerra, Fábio Porto, Rebecca Salles, Eduardo S. Ogasawara
Towards Robust Cluster-Based Hyperparameter Optimization. SBBD (2022)
Claudio Teixeira, Luana Fragoso, Marta Mattoso, Diego Carvalho, Eduardo Bezerra, Jorge de Abreu Soares, Glauco Amorim, Eduardo S. Ogasawara
A horizontal partitioning-based method for frequent pattern mining in transport timetable. Expert Syst. J. Knowl. Eng. 39 (2) (2022)
Rebecca Salles, Esther Pacitti, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
TSPred: A framework for nonstationary time series prediction. Neurocomputing 467 (2022)
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
Machine Learning Approaches to Extreme Weather Events Forecast in Urban Areas: Challenges and Initial Results. Supercomput. Front. Innov. 9 (1) (2022)
Mateus Devino, Kele T. Belloze, Eduardo Bezerra
Comparison of Machine Learning Pipelines for Gene Expression Matrices. BSB (2022)
Cristiane Gea, Janio Lima, Eduardo Bezerra, Eduardo S. Ogasawara
Análise de métodos de tratamento de outliers para predição dos retornos de índices de ações negociados em bolsa. SBBD (2021)
Rafaela Castro, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting. Neurocomputing 426 (2021)
Vinicius Souza de Jesus, Carlos Eduardo Pantoja, Fabian Manoel, Gleifer Vaz Alves, José Viterbo, Eduardo Bezerra
Bio-Inspired Protocols for Embodied Multi-Agent Systems. ICAART (1) (2021)
Marcello Serqueira, Pedro González, Eduardo Bezerra
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks. CoRR (2020)
Lais Baroni, Rebecca Salles, Samella Salles, Gustavo Paiva Guedes, Fábio Porto, Eduardo Bezerra, Christovam Barcellos, Marcel Pedroso, Eduardo S. Ogasawara
An analysis of malaria in the Brazilian Legal Amazon using divergent association rules. J. Biomed. Informatics 108 (2020)
Alan Fontoura, Diego Barreto Haddad, Eduardo Bezerra
A Deep Reinforcement Learning Approach to Asset-Liability Management. BRACIS (2019)
Daniel de Oliveira, Carlos Magno Abreu, Eduardo S. Ogasawara, Eduardo Bezerra, Leonardo Silva de Lima
A Science Gateway to Support Research in Spectral Graph Theory. SBBD (2019)
Camila Mesquita de Moraes, Eduardo Bezerra, Ronaldo R. Goldschmidt
Link prediction in social networks: combining topological and contextual data in a community detection based method. WebMedia (2019)
Rafaela C. Nascimento, Yania Molina Souto, Eduardo S. Ogasawara, Fábio Porto, Eduardo Bezerra
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting. CoRR (2019)
Raphael Abreu, Joel A. F. dos Santos, Eduardo Bezerra
A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization. CoRR (2018)
Ramon Silva, Augusto Fonseca, Ronaldo R. Goldschmidt, Joel A. F. dos Santos, Eduardo Bezerra
A Crowdsourcing Tool for Data Augmentation in Visual Question Answering Tasks. WebMedia (2018)
Raphael Abreu, Joel A. F. dos Santos, Eduardo Bezerra
A Bimodal Learning Approach to Assist Multi-sensory Effects Synchronization. IJCNN (2018)
Leonardo Carvalho, Laura Assis, Leonardo Silva de Lima, Eduardo Bezerra, Gustavo Paiva Guedes, Artur Ziviani, Fábio Porto, Rafael Barbastefano, Eduardo S. Ogasawara
Evaluating the Complementarity of Communication Tools for Learning Platforms. CSEDU (2) (2018)
Yania Molina Souto, Fábio Porto, Ana Maria de Carvalho Moura, Eduardo Bezerra
A Spatiotemporal Ensemble Approach to Rainfall Forecasting. IJCNN (2018)
Leonardo Carvalho, Eduardo Bezerra, Gustavo Paiva Guedes, Laura Assis, Leonardo Silva de Lima, Rafael Barbastefano, Artur Ziviani, Fábio Porto, Eduardo S. Ogasawara
A Mixed Graph Framework to evaluate the complementarity of communication Tools. PeerJ Prepr. 5 (2017)
Rebecca Salles, Laura Assis, Gustavo Paiva Guedes, Eduardo Bezerra, Fábio Porto, Eduardo S. Ogasawara
A framework for benchmarking machine learning methods using linear models for univariate time series prediction. IJCNN (2017)
Gustavo Paiva Guedes, Eduardo S. Ogasawara, Eduardo Bezerra, Geraldo Xexéo
Discovering top-k non-redundant clusterings in attributed graphs. Neurocomputing 210 (2016)
Gustavo Paiva Guedes, Eduardo Bezerra, Lilian Ferrari, Fellipe Duarte
Gender Differences in the Use of Portuguese in Social Networks: Evidence from LIWC. WebMedia (2016)
Eduardo Machado, Marcello Serqueira, Eduardo S. Ogasawara, Ricardo Ogando, Marcio A. G. Maia, Luiz Nicolaci da Costa, Riccardo Campisano, Gustavo Paiva Guedes, Eduardo Bezerra
Exploring machine learning methods for the Star/Galaxy Separation Problem. IJCNN (2016)
Rebecca Salles, Patricia Mattos, Ana-Maria Dubois Iorgulescu, Eduardo Bezerra, Leonardo Silva de Lima, Eduardo S. Ogasawara
Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean. Ecol. Informatics 36 (2016)
Ana Beatriz Cruz, Leonardo Preuss, João Quadros, Uéverton S. Souza, Sabrina Serique, Angélica Ogasawara, Eduardo Bezerra, Eduardo S. Ogasawara
Amê: an environment to learn and analyze adversarial search algorithms using stochastic card games. SAC (2015)
Gustavo Paiva Guedes, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo
Exploring multiple clusterings in attributed graphs. SAC (2015)
Rebecca Salles, Eduardo Bezerra, Jorge de Abreu Soares, Eduardo S. Ogasawara
Evaluating Linear Models as a Baseline for Time Series Imputation. SBBD (Short Papers) (2015)
Gustavo Paiva Guedes e Silva, Eduardo Bezerra, Eduardo S. Ogasawara, Geraldo Xexéo
MAM: Método para Agrupamentos Múltiplos em Redes Sociais Online Baseado em Emoções, Personalidades e Textos. Braz. J. Inf. Syst. 7 (3) (2014)
Eduardo S. Ogasawara, Daniel de Oliveira, Fabio Paschoal Junior, Rafael Castañeda, Myrna Amorim, Renato Mauro, Jorge de Abreu Soares, João Quadros, Eduardo Bezerra
A Forecasting Method for Fertilizers Consumption in Brazil. Int. J. Agric. Environ. Inf. Syst. 4 (2) (2013)