Rodrigo César Pedrosa Silva

Orcid: 0000-0003-2547-3835

According to our database1, Rodrigo César Pedrosa Silva authored at least 30 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-Based Feature Extraction.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications.
Neurocomputing, 2022

A Decidability-Based Loss Function.
Proceedings of the International Joint Conference on Neural Networks, 2022

Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Local Search with Groups of Step Sizes.
Oper. Res. Lett., 2021

Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.
Comput. Biol. Medicine, 2021

An abstract interface for large-scale continuous optimization decomposition methods.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
COVID-ABS: An Agent-Based Model of COVID-19 Epidemic to Simulate Health and Economic Effects of Social Distancing Interventions.
CoRR, 2020

Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images.
CoRR, 2020

Forecasting in non-stationary environments with fuzzy time series.
Appl. Soft Comput., 2020

Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Applying Genetic Programming to Improve Interpretability in Machine Learning Models.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2018
Multiple Operating Points Based Optimization: Application to Fractional Slot Concentrated Winding Electric Motors.
IEEE Trans. Ind. Electron., 2018

Robust Design with Surrogate-Assisted Evolutionary Algorithm: Does It Work?
Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2016
Hybrid Self-Adaptive Evolution Strategies Guided by Neighborhood Structures for Combinatorial Optimization Problems.
Evol. Comput., 2016

2014
Memetic self-adaptive evolution strategies applied to the maximum diversity problem.
Optim. Lett., 2014

Differential evolution using ancestor tree for service restoration in power distribution systems.
Appl. Soft Comput., 2014

A study on self-configuration in the differential evolution algorithm.
Proceedings of the 2014 IEEE Symposium on Differential Evolution, 2014

A study on the configuration of migratory flows in island model differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

On the visualization of trade-offs and reducibility in many-objective optimization.
Proceedings of the Genetic and Evolutionary Computation Conference, 2014

2013
Flow Shop Scheduling Using a General Approach for Differential Evolution.
Proceedings of the Handbook of Optimization - From Classical to Modern Approach, 2013

Dynamic selection of migration flows in island model differential evolution.
Proceedings of the Genetic and Evolutionary Computation Conference, 2013

2012
Differential Evolution and Perceptron Decision Trees for Fault Detection in Power Transformers.
Proceedings of the Soft Computing Models in Industrial and Environmental Applications, 2012

Performance Comparison of Parameter Variation Operators in Self-Adaptive Differential Evolution Algorithms.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A Multi-agent Approach to the Adaptation of Migration Topology in Island Model Evolutionary Algorithms.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

Differential Evolution and Perceptron Decision Trees for Classification Tasks.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2012, 2012

2011
Self-adaptive mutation in the differential evolution.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

2010
A New Differential Evolution Based Metaheuristic for Discrete Optimization.
Int. J. Nat. Comput. Res., 2010

Using differential evolution for combinatorial optimization: A general approach.
Proceedings of the IEEE International Conference on Systems, 2010


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