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Renato Porfirio Ishii
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2020 – today
- 2023
- [c13]Cássia C. S. Rosa, Fábio Viduani Martinez, Renato Porfirio Ishii:
Natural Language Processing Techniques for Hate Speech Evaluation for Brazilian Portuguese. ICCSA (Workshops 4) 2023: 104-117 - [c12]Charles F. O. Viegas, Bruno C. Costa, Renato Porfirio Ishii:
JurisBERT: A New Approach that Converts a Classification Corpus into an STS One. ICCSA (1) 2023: 349-365 - 2022
- [c11]Rafael J. Xavier, Charles F. O. Viegas, Bruno C. Costa, Renato Porfirio Ishii:
A Deep Learning Approach for Automatic Counting of Bales and Product Boxes in Industrial Production Lines. ICCSA (1) 2022: 619-633 - 2021
- [c10]Franklin Messias Barbosa, Renato Porfirio Ishii:
A Neural Network Approach to High Cost Patients Detection. ICCSA (3) 2021: 527-540 - 2020
- [j5]Angelo M. e Silva, Yara R. Rodrigues, Renato Porfirio Ishii:
RIGOR: A New Proposal for Predicting Infant Mortality in Government Health Systems Using Artificial Intelligence in Brazil. Computer 53(10): 69-76 (2020) - [c9]Higor Henrique Picoli Nucci, Renato Porfirio Ishii, Rodrigo da Costa Gomes, Celso Soares Costa, Gelson Luís Dias Feijó:
Classification of Carcass Fatness Degree in Finishing Cattle Using Machine Learning. ICCSA (1) 2020: 519-535
2010 – 2019
- 2019
- [c8]Marcos Paulo Moro, Renato Porfirio Ishii, Ronaldo Alves Ferreira:
Consumo Energético x Qualidade de Serviço em Centros de Dados. SBRC 2019: 335-348 - 2017
- [j4]Rodrigo Fernandes de Mello, Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii:
Is Even Data Analysis Ready Today? Int. J. Unconv. Comput. 13(3): 253-272 (2017) - [c7]Ricardo Araújo Rios, Paulo A. Pagliosa, Renato Porfirio Ishii, Rodrigo Fernandes de Mello:
TSViz: a data stream architecture to online collect, analyze, and visualize tweets. SAC 2017: 1031-1036 - 2016
- [c6]Angelo Silva, Renato Porfirio Ishii:
A new time series classification approach based on recurrence quantification analysis and Gabor filter. SAC 2016: 955-957 - 2015
- [c5]Evandro Luis S. Falleiros, Rodrigo Calvo, Renato Porfirio Ishii:
PheroSLAM: A Collaborative and Bioinspired Multi-agent System Based on Monocular Vision. ICCSA (2) 2015: 71-85 - 2012
- [j3]Renato Porfirio Ishii, Rodrigo Fernandes de Mello:
An Online Data Access Prediction and Optimization Approach for Distributed Systems. IEEE Trans. Parallel Distributed Syst. 23(6): 1017-1029 (2012) - 2011
- [j2]Renato Porfirio Ishii, Ricardo Araújo Rios, Rodrigo Fernandes de Mello:
Classification of time series generation processes using experimental tools: a survey and proposal of an automatic and systematic approach. Int. J. Comput. Sci. Eng. 6(4): 217-237 (2011) - 2010
- [b1]Renato Porfirio Ishii:
Optimization input output operations aiming at reduce execution time of distributed applications which handle large amount of data (Otimização de operações de entrada e saída visando reduzir o tempo de resposta de aplicações distribuídas que manipulam grandes volumes de dados). University of São Paulo, Brazil, 2010
2000 – 2009
- 2007
- [c4]Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Laurence Tianruo Yang:
A Complex Network-Based Approach for Job Scheduling in Grid Environments. HPCC 2007: 204-215 - [c3]Rodrigo Fernandes de Mello, Jose Augusto Andrade Filho, Evgueni Dodonov, Renato Porfirio Ishii, Laurence Tianruo Yang:
Optimizing Distributed Data Access in Grid Environments by Using Artificial Intelligence Techniques. ISPA 2007: 125-136 - 2006
- [c2]Bruno Feres de Souza, André Carlos Ponce de Leon Ferreira de Carvalho, Rodrigo Calvo, Renato Porfirio Ishii:
Multiclass SVM Model Selection Using Particle Swarm Optimization. HIS 2006: 31 - 2005
- [j1]Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Luciano José Senger, Marcos José Santana, Regina Helena Carlucci Santana, Laurence Tianruo Yang:
Improving Scheduling of Communication Intensive Parallel Applications on Heterogeneous Computing Environments. Parallel Process. Lett. 15(4): 423-438 (2005) - [c1]Renato Porfirio Ishii, Rodrigo Fernandes de Mello, Luciano José Senger, Marcos José Santana, Regina Helena Carlucci Santana:
Scheduling Based on the Impact over Process Communication of Parallel Applications. HPCS 2005: 149-155
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