Eduardo Bezerra
Orcid: 0000-0001-9177-5503Affiliations:
- CEFET - Federal Center of Technological Education Celso Suckow da Fonseca, Rio de Janeiro, Brazil
According to our database1,
Eduardo Bezerra
authored at least 41 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Proceedings of the International Joint Conference on Neural Networks, 2024
2023
Trans. Large Scale Data Knowl. Centered Syst., 2023
A Population-Based Hybrid Approach for Hyperparameter Optimization of Neural Networks.
IEEE Access, 2023
Proceedings of the Optimization, Learning Algorithms and Applications, 2023
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.
Supercomput. Front. Innov., 2022
A horizontal partitioning-based method for frequent pattern mining in transport timetable.
Expert Syst. J. Knowl. Eng., 2022
Proceedings of the Advances in Bioinformatics and Computational Biology, 2022
Proceedings of the 37th Brazilian Symposium on Databases, 2022
Proceedings of the IEEE Congress on Evolutionary Computation, 2022
2021
STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for weather forecasting.
Neurocomputing, 2021
Análise de métodos de tratamento de outliers para predição dos retornos de índices de ações negociados em bolsa.
Proceedings of the 36th Brazilian Symposium on Databases, 2021
Prescriptive Analytics in Smart Cities: A Combinatorial Approach in Rescue Operations.
Proceedings of the Smart Cities - 4th Ibero-American Congress, 2021
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.
J. Biomed. Informatics, 2020
A Population-based Hybrid Approach to Hyperparameter Optimization for Neural Networks.
CoRR, 2020
Um Estudo Comparativo do Uso de Abordagens de Comitês de Regressão para Imputação hot-deck.
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.
Proceedings of the 25th Brazillian Symposium on Multimedia and the Web, 2019
Proceedings of the 34th Brazilian Symposium on Databases, 2019
Proceedings of the 12th International Workshop on Cooperative and Human Aspects of Software Engineering, 2019
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019
2018
Proceedings of the 24th Brazilian Symposium on Multimedia and the Web, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Proceedings of the 10th International Conference on Computer Supported Education, 2018
2017
PeerJ Prepr., 2017
A framework for benchmarking machine learning methods using linear models for univariate time series prediction.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017
2016
Neurocomputing, 2016
Evaluating temporal aggregation for predicting the sea surface temperature of the Atlantic Ocean.
Ecol. Informatics, 2016
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
2015
Evaluating Linear Models as a Baseline for Time Series Imputation.
Proceedings of the XXX Simpósio Brasileiro de Banco de Dados, 2015
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.
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.
Braz. J. Inf. Syst., 2014
2013
Int. J. Agric. Environ. Inf. Syst., 2013
2006
Semi-Supervised Clustering of XML Documents: Getting the Most from Structural Information.
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.
Proceedings of the XIV Simpósio Brasileiro de Banco de Dados, 1999