Rodrigo Silva

13 papers B 3Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2023 — conf
FeatGeNN: Improving Model Performance for Tabular Data with Correlation-Based Feature Extraction.
BRACIS (1)
Sammuel Ramos Silva, Rodrigo Silva
2023 — conf
The Effect of Statistical Hypothesis Testing on Machine Learning Model Selection.
BRACIS (2)
Marcel Chacon Gonçalves, Rodrigo Silva
2022 B conf
A Decidability-Based Loss Function.
IJCNN
Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
2022 — conf
Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors.
BRACIS (2)
Pedro Silva, Eduardo Luz, Larissa Silva, Caio Gonçalves, Dênis Oliveira, Rodrigo Silva, Gladston Moreira
2022 J jnl
Randomized high order fuzzy cognitive maps as reservoir computing models: A first introduction and applications.
Neurocomputing
Omid Orang, Petrônio Cândido de Lima e Silva, Rodrigo Silva, Frederico Gadelha Guimarães
2021 J jnl
A Decidability-Based Loss Function.
CoRR
Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
2021 J jnl
Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.
Comput. Biol. Medicine
Marcos Antonio Alves, Giulia Zanon Castro, Bruno Alberto Soares Oliveira, Leonardo Augusto Ferreira, Jaime Arturo Ramírez, Rodrigo Silva, Frederico Gadelha Guimarães
2020 B conf
Applying Genetic Programming to Improve Interpretability in Machine Learning Models.
CEC
Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva
2020 J jnl
Applying Genetic Programming to Improve Interpretability in Machine Learning Models.
CoRR
Leonardo Augusto Ferreira, Frederico Gadelha Guimarães, Rodrigo Silva
2020 J jnl
Forecasting in Non-stationary Environments with Fuzzy Time Series.
CoRR
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves, Rodrigo Silva, Miri Weiss-Cohen, Frederico Gadelha Guimarães
2020 J jnl
Forecasting in non-stationary environments with fuzzy time series.
Appl. Soft Comput.
Petrônio Cândido de Lima e Silva, Carlos Alberto Severiano Junior, Marcos Antonio Alves, Rodrigo Silva, Miri Weiss-Cohen, Frederico Gadelha Guimarães
2020 B conf
Solar Energy Forecasting With Fuzzy Time Series Using High-Order Fuzzy Cognitive Maps.
FUZZ-IEEE
Omid Orang, Rodrigo Silva, Petrônio Cândido de Lima e Silva, Frederico Gadelha Guimarães
2020 J jnl
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images.
CoRR
Eduardo José da S. Luz, Pedro Henrique Lopes Silva, Rodrigo Silva, Ludmila Silva, Gladston Moreira, David Menotti