Mateus Roder

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 37

Top Topics

Deep Belief Networks

Top Venues

VISIGRAPP (3): VISAPP

Publications

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
Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks. VISIGRAPP (3): VISAPP (2024)
Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. VISIGRAPP (3): VISAPP (2024)
Juliana da Costa Feitosa, Mateus Roder, João Paulo Papa, José Remo Ferreira Brega
Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. VISIGRAPP (3): VISAPP (2024)
Gustavo H. de Rosa, Mateus Roder, Leandro A. Passos, João Paulo Papa
A comprehensive study among distance measures on supervised optimum-path forest classification. Appl. Soft Comput. 164 (2024)
Nícolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo de Oliveira, Mateus Roder, João Paulo Papa
Facial Point Graphs for Stroke Identification. CIARP (2023)
Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification. CoRR (2023)
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
Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. 55 (2) (2023)
Mateus Roder, Nícolas Barbosa Gomes, Arissa Yoshida, João Paulo Papa, Fumie Costen
Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. SIBGRAPI (2023)
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa
Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. CoRR (2023)
Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. BRACIS (2) (2023)
Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. CoRR (2023)
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. IEEE Trans. Emerg. Top. Comput. Intell. 6 (2) (2022)
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 C. S. Cleison S. Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
Gait Recognition Based on Deep Learning: A Survey. CoRR (2022)
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR (2022)
Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa
MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. IbPRIA (2022)
Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. CoRR (2022)
Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR (2022)
Gustavo H. de Rosa, Mateus Roder, João P. Papa
Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. Expert Syst. J. Knowl. Eng. 39 (4) (2022)
Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa
MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks. CoRR (2022)
Renato William R. de Souza, Daniel S. Silva, Leandro A. Passos, Mateus Roder, Marcos C. S. Santana, Plácido Rogério Pinheiro, Victor Hugo C. de Albuquerque
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines. Comput. Biol. Medicine 131 (2021)
Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa
Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. CIARP (2021)
Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI (2021)
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
Intestinal Parasites Classification Using Deep Belief Networks. CoRR (2021)
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI (2021)
Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI (2021)
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. CoRR (2021)
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR (2021)
Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa
Reinforcing learning in Deep Belief Networks through nature-inspired optimization. Appl. Soft Comput. 108 (2021)
Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP (2021)
Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. CoRR (2021)
Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
Harnessing Particle Swarm optimization Through Relativistic Velocity. CEC (2020)
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
Intestinal Parasites Classification Using Deep Belief Networks. ICAISC (1) (2020)
Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. ICPR (2020)
Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa
A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. ICAISC (1) (2020)
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. CEC (2020)
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
Learnergy: Energy-based Machine Learners. CoRR (2020)
Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. CoRR (2020)