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Rodrigo César Pedrosa Silva
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2020 – today
- 2023
- [c18]Sammuel Ramos Silva
, Rodrigo C. P. Silva
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-Based Feature Extraction. BRACIS (1) 2023: 259-273 - [c17]Marcel Chacon Gonçalves, Rodrigo C. P. Silva
The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection. BRACIS (2) 2023: 415-427 - 2022
- [j9]Omid Orang, Petrônio Cândido de Lima e Silva
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications. Neurocomputing 512: 153-177 (2022) - [c16]Pedro Silva
Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors. BRACIS (2) 2022: 510-522 - [c15]Pedro Silva, Gladston Moreira
A Decidability-Based Loss Function. IJCNN 2022: 1-8 - 2021
- [j8]Marcos Antonio Alves, Giulia Zanon Castro
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs. Comput. Biol. Medicine 132: 104335 (2021) - [j7]Rodolfo Ayala Lopes
Local Search with Groups of Step Sizes. Oper. Res. Lett. 49(3): 385-392 (2021) - [c14]Rodolfo Ayala Lopes, Rodrigo C. P. Silva, Alan R. R. de Freitas:
An abstract interface for large-scale continuous optimization decomposition methods. GECCO Companion 2021: 1267-1274 - [i5]Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo César Pedrosa Silva, David Menotti, Eduardo Luz:
A Decidability-Based Loss Function. CoRR abs/2109.05524 (2021) - 2020
- [j6]Petrônio Cândido de Lima e Silva
Forecasting in non-stationary environments with fuzzy time series. Appl. Soft Comput. 97(Part B): 106825 (2020) - [c13]Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo César Pedrosa Silva:
Applying Genetic Programming to Improve Interpretability in Machine Learning Models. CEC 2020: 1-8 - [c12]Omid Orang, Rodrigo César Pedrosa Silva, Petrônio Cândido de Lima e Silva
Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps. FUZZ-IEEE 2020: 1-8 - [i4]Eduardo José da S. Luz
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images. CoRR abs/2004.05717 (2020) - [i3]Petrônio Cândido de Lima e Silva
Forecasting in Non-stationary Environments with Fuzzy Time Series. CoRR abs/2004.12554 (2020) - [i2]Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo César Pedrosa Silva:
Applying Genetic Programming to Improve Interpretability in Machine Learning Models. CoRR abs/2005.09512 (2020) - [i1]Petrônio C. L. Silva
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions. CoRR abs/2006.10532 (2020)
2010 – 2019
- 2018
- [j5]Rodrigo César Pedrosa Silva
Multiple Operating Points Based Optimization: Application to Fractional Slot Concentrated Winding Electric Motors. IEEE Trans. Ind. Electron. 65(2): 1719-1727 (2018) - [c11]Rodrigo C. P. Silva, Min Li, Vahid Ghorbanian, Frederico G. Guimarães
Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work? BIOMA 2018: 295-306 - 2016
- [j4]Vitor Nazário Coelho, Igor Machado Coelho, Marcone J. F. Souza
Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems. Evol. Comput. 24(4): 637-666 (2016) - 2014
- [j3]Ricardo S. Prado, Rodrigo César Pedrosa Silva, Oriane M. Neto, Frederico G. Guimarães
Differential evolution using ancestor tree for service restoration in power distribution systems. Appl. Soft Comput. 23: 498-508 (2014) - [j2]Alan R. R. de Freitas, Frederico Gadelha Guimarães
Memetic self-adaptive evolution strategies applied to the maximum diversity problem. Optim. Lett. 8(2): 705-714 (2014) - [c10]Rodolfo Ayala Lopes, Rodrigo César Pedrosa Silva
A study on the configuration of migratory flows in island model differential evolution. GECCO (Companion) 2014: 1015-1022 - [c9]Alan R. R. de Freitas, Rodrigo C. P. Silva
On the visualization of trade-offs and reducibility in many-objective optimization. GECCO (Companion) 2014: 1091-1098 - [c8]Rodrigo C. P. Silva
A study on self-configuration in the differential evolution algorithm. SDE 2014: 25-32 - 2013
- [c7]Rodolfo Ayala Lopes, Rodrigo César Pedrosa Silva, Felipe Campelo
Dynamic selection of migration flows in island model differential evolution. GECCO (Companion) 2013: 173-174 - [p1]Frederico Gadelha Guimarães
Flow Shop Scheduling Using a General Approach for Differential Evolution. Handbook of Optimization 2013: 597-614 - 2012
- [c6]Rodolfo Ayala Lopes, A. R. R. Freitas, Rodrigo César Pedrosa Silva
Differential Evolution and Perceptron Decision Trees for Classification Tasks. IDEAL 2012: 550-557 - [c5]Rodrigo César Pedrosa Silva
Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms. SBRN 2012: 148-153 - [c4]Rodolfo Ayala Lopes, Rodrigo César Pedrosa Silva
A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms. SBRN 2012: 160-165 - [c3]A. R. R. Freitas, Rodrigo César Pedrosa Silva, Frederico G. Guimarães
Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers. SOCO 2012: 143-152 - 2011
- [c2]Rodrigo César Pedrosa Silva
Self-adaptive mutation in the differential evolution. GECCO 2011: 1939-1946 - 2010
- [j1]Ricardo Sérgio Prado, Rodrigo César Pedrosa Silva, Frederico Gadelha Guimarães, Oriane Magela Neto:
A New Differential Evolution Based Metaheuristic for Discrete Optimization. Int. J. Nat. Comput. Res. 1(2): 15-32 (2010) - [c1]Ricardo S. Prado, Rodrigo C. P. Silva, Frederico G. Guimarães
Using differential evolution for combinatorial optimization: A general approach. SMC 2010: 11-18
Coauthor Index
aka: Frederico Gadelha Guimarães
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