On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering. - Gustavo H. Rosa; Kelton A. P. Costa; Leandro A. Passos Junior; João Paulo Papa; Alexandre X. Falcão; João Manuel R. S. Tavares (ICPR, 2014)

Unsupervised Breast Masses Classification through Optimum-Path Forest. - Patricia B. Ribeiro; Leandro A. Passos Junior; Luis Alexandre da Silva; Kelton A. P. da Costa; João P. Papa; Roseli A. F. Romero (CBMS, 2015)

Learning Parameters in Deep Belief Networks Through Firefly Algorithm. - Gustavo H. Rosa; João Paulo Papa; Kelton A. P. Costa; Leandro A. Passos Junior; Clayton R. Pereira; Xin-She Yang 001 (ANNPR, 2016)

Deep Boltzmann Machines Using Adaptive Temperatures. - Leandro A. Passos Junior; Kelton A. P. Costa; João P. Papa (CAIP (1), 2017)

Parkinson's Disease Identification Using Restricted Boltzmann Machines. - Clayton R. Pereira; Leandro A. Passos; Ricardo R. Lopes; Silke A. T. Weber; Christian Hook; João Paulo Papa (CAIP (2), 2017)

Fine-Tuning Infinity Restricted Boltzmann Machines. - Leandro Aparecido Passos; João Paulo Papa (SIBGRAPI, 2017)

Enhancing Brain Storm Optimization Through Optimum-Path Forest. - Luis Claudio Sugi Afonso; Leandro A. Passos; João Paulo Papa (SACI, 2018)

Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. - Leandro A. Passos; Clayton R. Pereira; Edmar R. S. Rezende; Tiago J. Carvalho; Silke A. T. Weber; Christian Hook; João P. Papa (SACI, 2018)

Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. - Leandro A. Passos; Douglas Rodrigues; João P. Papa (SACI, 2018)

Temperature-Based Deep Boltzmann Machines. - Leandro Aparecido Passos; João Paulo Papa (Neural Process. Lett., 2018)

On the training algorithms for Restricted Boltzmann Machine-Based Models - Leandro A. Passos Junior (2018)

Quaternion-Based Backtracking Search Optimization Algorithm. - Leandro Aparecido Passos; Douglas Rodrigues; João Paulo Papa (CEC, 2019)

κ-Entropy Based Restricted Boltzmann Machines. - Leandro Aparecido Passos; Marcos Cleison Silva Santana; Thierry Pinheiro Moreira; João Paulo Papa (IJCNN, 2019)

Exudate detection in fundus images using deeply-learnable features. - Parham Khojasteh; Leandro A. Passos Junior; Tiago J. Carvalho; Edmar R. S. Rezende; Behzad Aliahmad; João Paulo Papa; Dinesh Kant Kumar (Comput. Biol. Medicine, 2019)

Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. - Leandro A. Passos; Luis Antônio de Souza Júnior; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João Paulo Papa (J. Vis. Commun. Image Represent., 2019)

Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. - Raniere Rocha Guimarães; Leandro A. Passos; Raimir Holanda Filho; Victor Hugo C. de Albuquerque; Joel J. P. C. Rodrigues; Mikhail M. Komarov; João Paulo Papa (IEEE Netw., 2019)

O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. - Leandro A. Passos; Danilo S. Jodas; Luiz Carlos Felix Ribeiro; Thierry Pinheiro Moreira; João Paulo Papa (CBMS, 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)

Evolving Long Short-Term Memory Networks. - Vicente Coelho Lobo Neto; Leandro Aparecido Passos; João Paulo Papa (ICCS (2), 2020)

A critical literature survey and prospects on tampering and anomaly detection in image data. - Kelton A. P. da Costa; João P. Papa; Leandro A. Passos; Danilo Colombo; Javier Del Ser; Khan Muhammad 001; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2020)

A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. - Leandro Aparecido Passos; João Paulo Papa (Appl. Soft Comput., 2020)

Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. - Luis Antônio de Souza Júnior; Leandro A. Passos; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João P. Papa (Comput. Biol. Medicine, 2020)

A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. - Marcos C. S. Santana; Leandro Aparecido Passos Júnior; Thierry Pinheiro Moreira; Danilo Colombo; Victor Hugo C. de Albuquerque; João Paulo Papa (IEEE Intell. Syst., 2020)

A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. - Renato William R. de Souza; João Vitor Chaves de Oliveira; Leandro A. Passos; Weiping Ding 001; João P. Papa; Victor Hugo C. de Albuquerque (IEEE Trans. Fuzzy Syst., 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)

Adaptive Improved Flower Pollination Algorithm for Global Optimization. - Douglas Rodrigues; Gustavo Henrique de Rosa; Leandro Aparecido Passos; João Paulo Papa (Nature-Inspired Computation in Data Mining and Machine Learning, 2020)

Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification. - Luis Antônio de Souza; Leandro A. Passos; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João Paulo Papa (Bildverarbeitung für die Medizin, 2021)

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)

Deep Regressor Networks for Blind Image Deblurring. - Rafael Goncalves Pires; Daniel F. S. Santos; Leandro A. Passos; João P. Papa (IGARSS, 2021)

DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. - Daniel F. S. Santos; Rafael Goncalves Pires; Leandro A. Passos; João P. Papa (IGARSS, 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)

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)

O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. - Leandro Aparecido Passos; Danilo Samuel Jodas; Luiz Carlos Felix Ribeiro; Thierry Pinheiro Moreira; João P. Papa (CoRR, 2021)

An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. - Thierry Pinheiro Moreira; Marcos Cleison S. Santana; Leandro A. Passos; João Paulo Papa; Kelton Augusto Pontara da Costa (IbPRIA, 2022)

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)

FEMa-FS: Finite Element Machines for Feature Selection. - Lucas Biaggi; João P. Papa; Kelton A. P. Costa; Danillo Roberto Pereira; Leandro A. Passos (ICPR, 2022)

PL-k NN: A Parameterless Nearest Neighbors Classifier. - Danilo Samuel Jodas; Leandro Aparecido Passos; Ahsan Adeel; João Paulo Papa (IWSSIP, 2022)

ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. - Talita A. Pereira; Regina C. Popim; Leandro A. Passos; Danillo Roberto Pereira; Clayton R. Pereira; João P. Papa (IWSSIP, 2022)

Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives. - Danilo Samuel Jodas; Leandro Aparecido Passos; Giuliana Del Nero Velasco; Mariana Hortelani Carneseca Longo; Aline Ribeiro Machado; João Paulo Papa (SIBGRAPI, 2022)

A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. - Leandro Aparecido Passos; João Paulo Papa; Amir Hussain 001; Ahsan Adeel (CoRR, 2022)

A Review of Deep Learning-based Approaches for Deepfake Content Detection. - Leandro A. Passos; Danilo S. Jodas; Kelton A. P. da Costa; Luis Antônio Souza Júnior; Danilo Colombo; João Paulo Papa (CoRR, 2022)

Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. - Guilherme C. Oliveira; Gustavo H. Rosa; Daniel C. G. Pedronette; João P. Papa; Himeesh Kumar; Leandro A. Passos; Dinesh Kant Kumar (CoRR, 2022)

Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids. - Leandro A. Passos; João Paulo Papa; Ahsan Adeel (CoRR, 2022)

Multimodal Speech Enhancement Using Burst Propagation. - Leandro A. Passos; Khubaib Ahmed; Mohsin Raza; Ahsan Adeel (CoRR, 2022)

PL-kNN: A Parameterless Nearest Neighbors Classifier. - Danilo Samuel Jodas; Leandro Aparecido Passos; Ahsan Adeel; João Paulo Papa (CoRR, 2022)

Handling imbalanced datasets through Optimum-Path Forest. - Leandro Aparecido Passos; Danilo S. Jodas; Luiz Carlos Felix Ribeiro; Marco Akio; André Nunes de Souza; João Paulo Papa (Knowl. Based Syst., 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)

A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. - Edwin Prem Kumar Gilbert; A. Immanuel Selvakumar; M. Lydia; Baskaran Kaliaperumal; Danilo Samuel Jodas; Leandro A. Passos; João P. Papa (IWSSIP, 2023)

OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. - Danilo Samuel Jodas; Leandro Aparecido Passos; Douglas Rodrigues; Thiago José Lucas; Kelton Augusto Pontara da Costa; João Paulo Papa (IWSSIP, 2023)

Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. - M. Lydia; Edwin Prem Kumar Gilbert; Akash Ravichandran; Guilherme Brandão Martins; Leandro A. Passos; João P. Papa (IWSSIP, 2023)

A Multi-Class Probabilistic Optimum-Path Forest. - Silas Evandro Nachif Fernandes; Leandro A. Passos; Danilo S. Jodas; Marco Akio; André N. de Souza; João Paulo Papa (VISIGRAPP (5: VISAPP), 2023)

FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. - Gabriel Lino Garcia; Luis C. S. Afonso; Leandro A. Passos; Danilo S. Jodas; Kelton A. P. da Costa; João P. Papa (VISIGRAPP (4: VISAPP), 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)

Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. - Leandro A. Passos; João Paulo Papa; Javier Del Ser; Amir Hussain 001; Ahsan Adeel (Inf. Fusion, 2023)

Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. - Leandro A. Passos; João Paulo Papa; Amir Hussain 001; Ahsan Adeel (Neurocomputing, 2023)

PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. - Danilo Samuel Jodas; Leandro Aparecido Passos; Ahsan Adeel; João Paulo Papa (Softw. Impacts, 2023)

Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier. - Yongzhao Xu; Renato William R. de Souza; Elias P. Medeiros; Neha Jain; Lijuan Zhang; Leandro A. Passos; Victor Hugo C. de Albuquerque (Soft Comput., 2023)

Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. - Guilherme C. Oliveira; Quoc Cuong Ngo; Leandro A. Passos; João P. Papa; Danilo S. Jodas; Dinesh K. Kumar (Comput. Methods Programs Biomed., 2023)

Hate Speech Detection in Portuguese Using BERTimbau. - João Otávio Rodrigues Ferreira Frediani; Gabriel Lino Garcia; Pedro Henrique Paiola; Leandro Aparecido Passos; João Paulo Papa; Aparecido Nilceu Marana (CIARP (1), 2024)

Graph Matching Networks Meet Optimum-Path Forest: How to Prune Ensembles Efficiently. - Danilo Samuel Jodas; Leandro A. Passos; Douglas Rodrigues; Kelton A. P. Costa; João Paulo Papa (ICPR (7), 2024)

A Quantum-inspired Approach to Estimate Optimum-Path Forest Prototypes based on the Traveling Salesman Problem. - Maria Angélica Krüger Miranda; Felipe Fernandes Fanchini; Leandro Aparecido Passos; Douglas Rodrigues; Kelton Augusto Pontara da Costa; Rafal Scherer; João Paulo Papa (ICPR (7), 2024)

Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. - Pedro Lamkowski; Douglas Rodrigues; Leandro A. Passos; João P. Papa; Jurandy Almeida (IWSSIP, 2024)

Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems. - Thiago José Lucas; Leandro Aparecido Passos; Douglas Rodrigues; Danilo S. Jodas; João Paulo Papa; Kelton Augusto Pontara da Costa; Rafal Scherer (IWSSIP, 2024)

Enhancing Cyberattack Detection in IoT Environments Through Advanced Resampling Techniques. - Carlos Alexandre Carvalho Tojeiro; Thiago José Lucas; Leandro A. Passos; Douglas Rodrigues; Simone G. D. Prado; João Paulo Papa; Kelton Augusto Pontara da Costa (IWSSIP, 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)

Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. - Guilherme C. Oliveira; Gustavo H. Rosa; Daniel C. G. Pedronette; João P. Papa; Himeesh Kumar; Leandro A. Passos; Dinesh Kant Kumar (Biomed. Signal Process. Control., 2024)

Facial expressions to identify post-stroke: A pilot study. - Guilherme C. Oliveira; Quoc Cuong Ngo; Leandro A. Passos; Leonardo S. Oliveira; João P. Papa; Dinesh Kant Kumar (Comput. Methods Programs Biomed., 2024)

BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis. - Leandro A. Passos; Douglas Rodrigues; Danilo S. Jodas; Kelton A. P. Costa; João Paulo Papa (CoRR, 2024)

A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. - Jihene Tmamna; Rahma Fourati; Emna Ben Ayed; Leandro A. Passos; João P. Papa; Mounir Ben Ayed; Amir Hussain 001 (Neurocomputing, 2024)

DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. - Luis Antônio de Souza Júnior; André G. C. Pacheco; Leandro A. Passos; Marcos C. S. Santana; Robert Mendel; Alanna Ebigbo; Andreas Probst; Helmut Messmann; Christoph Palm; João Paulo Papa (Neural Comput. Appl., 2024)

A review of deep learning-based approaches for deepfake content detection. - Leandro A. Passos; Danilo Samuel Jodas; Kelton A. P. Costa; Luis Antônio de Souza; Douglas Rodrigues; Javier Del Ser; David Camacho; João Paulo Papa (Expert Syst. J. Knowl. Eng., 2024)

Layer-selective deep representation to improve esophageal cancer classification. - Luis Antônio de Souza; Leandro A. Passos; Marcos Cleison S. Santana; Robert Mendel; David Rauber; Alanna Ebigbo; Andreas Probst; Helmut Messmann; João Paulo Papa; Christoph Palm (Medical Biol. Eng. Comput., 2024)

Customized Atrous Spatial Pyramid Pooling with Joint Convolutions for Urban Tree Segmentation. - Danilo Samuel Jodas; Giuliana Del Nero Velasco; Sergio Brazolin; Reinaldo Araújo de Lima; Leandro Aparecido Passos; João Paulo Papa (VISIGRAPP (3): VISAPP, 2025)

EEG microstates classification empowered with optimum-path forest using different distance measurements. - Raniere Rocha Guimarães; Leandro A. Passos; David W. Kuster; Ani Dong; Victor Hugo C. de Albuquerque (Appl. Soft Comput., 2025)

Facial Expression Analysis in Parkinsons's Disease Using Machine Learning: A Review. - Guilherme C. Oliveira; Quoc Cuong Ngo; Leandro A. Passos; Danilo Samuel Jodas; João Paulo Papa; Dinesh Kant Kumar (ACM Comput. Surv., 2025)