Leandro A. Passos

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Boltzmann Machines

Deep Belief Networks

Top Venues

Publications

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
DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. Neural Comput. Appl. 36 (18) (2024)
Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, Kelton A. P. Costa, João Paulo Papa
BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis. CoRR (2024)
Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. 94 (2024)
Leandro A. Passos, Danilo Samuel Jodas, Kelton A. P. Costa, Luis Antônio de Souza, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa
A review of deep learning-based approaches for deepfake content detection. Expert Syst. J. Knowl. Eng. 41 (8) (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)
Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Leonardo S. Oliveira, João P. Papa, Dinesh Kant Kumar
Facial expressions to identify post-stroke: A pilot study. Comput. Methods Programs Biomed. 250 (2024)
Yongzhao Xu, Renato William R. de Souza, Elias P. Medeiros, Neha Jain, Lijuan Zhang, Leandro A. Passos, Victor Hugo C. de Albuquerque
Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier. Soft Comput. 27 (7) (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)
Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa
FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. VISIGRAPP (4: VISAPP) (2023)
Silas Evandro Nachif Fernandes, Leandro A. Passos, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa
A Multi-Class Probabilistic Optimum-Path Forest. VISIGRAPP (5: VISAPP) (2023)
Leandro A. Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel
Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing 527 (2023)
Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, João P. Papa, Danilo S. Jodas, Dinesh K. Kumar
Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. Comput. Methods Programs Biomed. 240 (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)
Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa
A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. IWSSIP (2023)
M. Lydia, Edwin Prem Kumar Gilbert, Akash Ravichandran, Guilherme Brandão Martins, Leandro A. Passos, João P. Papa
Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. IWSSIP (2023)
Leandro A. Passos, João Paulo Papa, Javier Del Ser, Amir Hussain, Ahsan Adeel
Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Inf. Fusion 90 (2023)
Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. CoRR (2022)
Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR (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)
Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
FEMa-FS: Finite Element Machines for Feature Selection. CoRR (2022)
Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. IWSSIP (2022)
Leandro A. Passos, Khubaib Ahmed, Mohsin Raza, Ahsan Adeel
Multimodal Speech Enhancement Using Burst Propagation. CoRR (2022)
Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. CoRR (2022)
Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa
A Review of Deep Learning-based Approaches for Deepfake Content Detection. CoRR (2022)
Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
FEMa-FS: Finite Element Machines for Feature Selection. ICPR (2022)
Daniel F. S. Santos, Rafael Gonçalves Pires, Leandro A. Passos, João P. Papa
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. CoRR (2022)
Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro A. Passos, João Paulo Papa, Kelton Augusto Pontara da Costa
An End-to-End Approach for Seam Carving Detection Using Deep 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)
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)
Leandro A. Passos, João Paulo Papa, Ahsan Adeel
Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids. 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, 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)
Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, João P. Papa
DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. IGARSS (2021)
Luis Antonio De Souza, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa
Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification. Bildverarbeitung für die Medizin (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)
Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa
Deep Regressor Networks for Blind Image Deblurring. IGARSS (2021)
Kelton A. P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque
A critical literature survey and prospects on tampering and anomaly detection in image data. Appl. Soft Comput. 97 (Part B) (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)
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)
Luis Antônio de Souza Junior, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João P. Papa
Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Comput. Biol. Medicine 126 (2020)
Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque
A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE Trans. Fuzzy Syst. 28 (12) (2020)
Leandro A. Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa
O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CBMS (2020)
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
Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE Netw. 33 (2) (2019)
Leandro A. Passos, Luis Antônio de Souza Junior, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa
Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. J. Vis. Commun. Image Represent. 59 (2019)
Leandro A. Passos, Clayton R. Pereira, Edmar R. S. Rezende, Tiago J. Carvalho, Silke A. T. Weber, Christian Hook, João P. Papa
Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. SACI (2018)
Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa
Enhancing Brain Storm Optimization Through Optimum-Path Forest. SACI (2018)
Leandro A. Passos, Douglas Rodrigues, João P. Papa
Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI (2018)
Clayton R. Pereira, Leandro A. Passos, Ricardo R. Lopes, Silke A. T. Weber, Christian Hook, João Paulo Papa
Parkinson's Disease Identification Using Restricted Boltzmann Machines. CAIP (2) (2017)