Leandro Aparecido Passos

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Boltzmann Machines

Top Venues

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)
Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. Softw. Impacts 15 (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)
Danilo Samuel Jodas, Leandro Aparecido Passos, Douglas Rodrigues, Thiago José Lucas, Kelton Augusto Pontara da Costa, João Paulo Papa
OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. IWSSIP (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)
Danilo Samuel Jodas, Leandro Aparecido Passos, Giuliana Del Nero Velasco, Mariana Hortelani Carneseca Longo, Aline Ribeiro Machado, João Paulo Papa
Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives. SIBGRAPI (2022)
Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
PL-k NN: A Parameterless Nearest Neighbors Classifier. IWSSIP (2022)
Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro Aparecido Passos, João Paulo Papa, Kelton Augusto Pontara da Costa
An End-to-End Approach for Seam Carving Detection using Deep Neural Networks. CoRR (2022)
Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. CoRR (2022)
Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
PL-kNN: A Parameterless Nearest Neighbors Classifier. 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)
Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa
Handling imbalanced datasets through Optimum-Path Forest. Knowl. Based Syst. 242 (2022)
Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa
Handling Imbalanced Datasets Through Optimum-Path Forest. CoRR (2022)
Leandro Aparecido Passos, João Paulo Papa
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR (2021)
Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa
PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. 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)
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)
Leandro Aparecido Passos, João Paulo Papa
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. Appl. Soft Comput. 97 (Part B) (2020)
Vicente Coelho Lobo Neto, Leandro Aparecido Passos, João Paulo Papa
Evolving Long Short-Term Memory Networks. ICCS (2) (2020)
Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa
κ-Entropy Based Restricted Boltzmann Machines. IJCNN (2019)
Leandro Aparecido Passos, Douglas Rodrigues, João Paulo Papa
Quaternion-Based Backtracking Search Optimization Algorithm. CEC (2019)
Leandro Aparecido Passos, João Paulo Papa
Temperature-Based Deep Boltzmann Machines. Neural Process. Lett. 48 (1) (2018)
Leandro Aparecido Passos, João Paulo Papa
Fine-Tuning Infinity Restricted Boltzmann Machines. SIBGRAPI (2017)