Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa; Fabricio Aparecido Breve (CEC, 2020)

Harnessing Particle Swarm optimization Through Relativistic Velocity. - Mateus Roder; Gustavo Henrique de Rosa; Leandro Aparecido Passos; João Paulo Papa; André Luis Debiaso Rossi (CEC, 2020)

Intestinal Parasites Classification Using Deep Belief Networks. - Mateus Roder; Leandro A. Passos; Luiz Carlos Felix Ribeiro; Barbara Caroline Benato; Alexandre Xavier Falcão; João Paulo Papa (ICAISC (1), 2020)

A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. - Mateus Roder; Leandro A. Passos; Luiz Carlos Felix Ribeiro; Clayton R. Pereira; João Paulo Papa (ICAISC (1), 2020)

MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. - Claudio Filipi Goncalves dos Santos; Danilo Colombo; Mateus Roder; João Paulo Papa (ICPR, 2020)

Learnergy: Energy-based Machine Learners. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa (CoRR, 2020)

On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks. - Leandro Aparecido Passos; Gustavo Henrique de Rosa; Douglas Rodrigues; Mateus Roder; João Paulo Papa (Deep Neural Evolution, 2020)

Learnergy: Energy-based Machine Learners. - Mateus Roder; Gustavo Henrique de Rosa; João Paulo Papa (Zenodo, 2020)

Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. - Luiz Carlos Felix Ribeiro; Mateus Roder; Gustavo Henrique de Rosa; Leandro A. Passos; João P. Papa (CIARP, 2021)

Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. - Gustavo Henrique de Rosa; Mateus Roder; João P. Papa (CIARP, 2021)

Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. - Mateus Roder; Gustavo Henrique Rosa; João Paulo Papa; Daniel Carlos Guimarães Pedronette (SIBGRAPI, 2021)

From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. - Mateus Roder; Jurandy Almeida; Gustavo Henrique de Rosa; Leandro A. Passos; André L. D. Rossi; João P. Papa (SSCI, 2021)

Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. - Gustavo Henrique de Rosa; Mateus Roder; João Paulo Papa; Claudio Filipi Goncalves dos Santos (SSCI, 2021)

Reinforcing learning in Deep Belief Networks through nature-inspired optimization. - Mateus Roder; Leandro Aparecido Passos; Gustavo Henrique de Rosa; Victor Hugo C. de Albuquerque; João Paulo Papa (Appl. Soft Comput., 2021)

Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines. - 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 (Comput. Biol. Medicine, 2021)

Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. - Gustavo Henrique de Rosa; Mateus Roder; João P. Papa (CoRR, 2021)

MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. - Claudio Filipi Goncalves dos Santos; Mateus Roder; Leandro Aparecido Passos; João Paulo Papa (IbPRIA, 2022)

Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. - Gustavo Henrique de Rosa; Mateus Roder; João Paulo Papa (CoRR, 2022)

Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. - Gustavo H. de Rosa; Mateus Roder; João P. Papa (Expert Syst. J. Knowl. Eng., 2022)

Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. - Mateus Roder; Gustavo Henrique de Rosa; Victor Hugo C. de Albuquerque; André L. D. Rossi; João P. Papa (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. - Mateus Roder; Leandro Aparecido Passos; João Paulo Papa; André Luis Debiaso Rossi (BRACIS (2), 2023)

Facial Point Graphs for Stroke Identification. - Nícolas Barbosa Gomes; Arissa Yoshida; Guilherme Camargo de Oliveira; Mateus Roder; João Paulo Papa (CIARP, 2023)

Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. - Mateus Roder; Nícolas Barbosa Gomes; Arissa Yoshida; João Paulo Papa; Fumie Costen (SIBGRAPI, 2023)

Gait Recognition Based on Deep Learning: A Survey. - 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 (ACM Comput. Surv., 2023)

Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning. - Rafael Gonçalves Pires; Clayton Reginaldo Pereira; Tiago Penedo; João Paulo Papa; Mateus Roder; Fabio Augusto Barbieri (IWSSIP, 2024)

Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. - Juliana da Costa Feitosa; Mateus Roder; João Paulo Papa; José Remo Ferreira Brega (VISIGRAPP (3): VISAPP, 2024)

Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. - Nícolas Barbosa Gomes; Arissa Yoshida; Mateus Roder; Guilherme Camargo de Oliveira; João Paulo Papa (VISIGRAPP (3): VISAPP, 2024)

Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks. - 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 (VISIGRAPP (3): VISAPP, 2024)

A comprehensive study among distance measures on supervised optimum-path forest classification. - Gustavo H. de Rosa; Mateus Roder; Leandro A. Passos; João Paulo Papa (Appl. Soft Comput., 2024)

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. - Pedro Henrique Paiola; Gabriel Lino Garcia; João Renato Ribeiro Manesco; Mateus Roder; Douglas Rodrigues; João Paulo Papa (CoRR, 2024)