Mateus Roder

40 papers B 3C 3Misc 1Journal 21Unranked 11
YearRankTypeTitle / Venue / Authors
2024 J jnl
A comprehensive study among distance measures on supervised optimum-path forest classification.
Appl. Soft Comput.
Gustavo H. de Rosa, Mateus Roder, Leandro A. Passos, João Paulo Papa
2024 J jnl
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation.
CoRR
Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa
2024 — conf
Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning.
IWSSIP
Rafael Gonçalves Pires, Clayton Reginaldo Pereira, Tiago Penedo, João Paulo Papa, Mateus Roder, Fabio Augusto Barbieri
2024 — conf
Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks.
VISIGRAPP (3): VISAPP
Mateus Roder, Leandro Aparecido Passos, Clayton R. Pereira, João Paulo Papa, Altanir Flores de Mello Junior, Marcelo Fagundes de Rezende, Yaro Moisés Parizek Silva, Alexandre Campane Vidal
2024 — conf
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification.
VISIGRAPP (3): VISAPP
Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
2024 — conf
Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods.
VISIGRAPP (3): VISAPP
Juliana da Costa Feitosa, Mateus Roder, João Paulo Papa, José Remo Ferreira Brega
2023 J jnl
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization.
CoRR
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa
2023 J jnl
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification.
CoRR
Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
2023 C conf
Facial Point Graphs for Stroke Identification.
CIARP
Nícolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo de Oliveira, Mateus Roder, João Paulo Papa
2023 — conf
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification.
BRACIS (2)
Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
2023 J jnl
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification.
CoRR
Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
2023 J jnl
Gait Recognition Based on Deep Learning: A Survey.
ACM Comput. Surv.
Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
2023 — conf
Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform.
SIBGRAPI
Mateus Roder, Nícolas Barbosa Gomes, Arissa Yoshida, João Paulo Papa, Fumie Costen
2022 J jnl
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification.
CoRR
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa
2022 J jnl
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random.
IEEE Trans. Emerg. Top. Comput. Intell.
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
2022 J jnl
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks.
CoRR
Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
2022 J jnl
Gait Recognition Based on Deep Learning: A Survey.
CoRR
Claudio Filipi Gonçalves dos Santos, Diego de Souza Oliveira, Leandro A. Passos, Rafael Gonçalves Pires, Daniel Felipe Silva Santos, Lucas Pascotti Valem, Thierry Pinheiro Moreira, Marcos Cleison Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
2022 J jnl
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning.
CoRR
Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
2022 Misc conf
MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks.
IbPRIA
Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa
2022 J jnl
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks.
CoRR
Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa
2022 J jnl
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks.
Expert Syst. J. Knowl. Eng.
Gustavo H. de Rosa, Mateus Roder, João P. Papa
2021 J jnl
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks.
CoRR
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa
2021 J jnl
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines.
Comput. Biol. Medicine
Renato William R. de Souza, Daniel Santos da Silva, Leandro A. Passos, Mateus Roder, Marcos C. S. Santana, Plácido Rogério Pinheiro, Victor Hugo C. de Albuquerque
2021 J jnl
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random.
CoRR
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
2021 C conf
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization.
CIARP
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa
2021 — conf
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification.
SIBGRAPI
Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette
2021 J jnl
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines.
CoRR
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
2021 C conf
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning.
CIARP
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
2021 — conf
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks.
SSCI
Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
2021 — conf
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning.
SSCI
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
2021 J jnl
Intestinal Parasites Classification Using Deep Belief Networks.
CoRR
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
2021 J jnl
Reinforcing learning in Deep Belief Networks through nature-inspired optimization.
Appl. Soft Comput.
Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa
2020 — conf
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks.
ICAISC (1)
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa
2020 B conf
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization.
CEC
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve
2020 B conf
Harnessing Particle Swarm optimization Through Relativistic Velocity.
CEC
Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
2020 — conf
Intestinal Parasites Classification Using Deep Belief Networks.
ICAISC (1)
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
2020 J jnl
Learnergy: Energy-based Machine Learners.
CoRR
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
2020 B conf
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values.
ICPR
Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
2020 J jnl
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values.
CoRR
Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
2020 — ch.
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks.
Deep Neural Evolution
Leandro Aparecido Passos, Gustavo Henrique de Rosa, Douglas Rodrigues, Mateus Roder, João Paulo Papa