Leandro A. Passos

59 papers B 2C 3Misc 4Journal 35Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems. VISAPP (1) Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, João P. Papa, Kelton A. P. da Costa
2025	—	`conf`	Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images. RTSI João Renato Ribeiro Manesco, Leandro A. Passos, Érika M. Hoshino, Letícia B. Oliveira, Marcel Koenigkam-Santos, João P. Papa
2025	J	`jnl`	EEG microstates classification empowered with optimum-path forest using different distance measurements. Appl. Soft Comput. Raniere Rocha Guimarães, Leandro A. Passos, David W. Kuster, Ani Dong, Victor Hugo C. de Albuquerque
2025	J	`jnl`	Facial Expression Analysis in Parkinsons's Disease Using Machine Learning: A Review. ACM Comput. Surv. Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Danilo Samuel Jodas, João Paulo Papa, Dinesh Kant Kumar
2024	J	`jnl`	A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing Jihene Tmamna, Rahma Fourati, Emna Ben Ayed, Leandro A. Passos, João P. Papa, Mounir Ben Ayed, Amir Hussain
2024	J	`jnl`	A comprehensive study among distance measures on supervised optimum-path forest classification. Appl. Soft Comput. Gustavo H. de Rosa, Mateus Roder, Leandro A. Passos, João Paulo Papa
2024	J	`jnl`	A review of deep learning-based approaches for deepfake content detection. Expert Syst. J. Knowl. Eng. Leandro A. Passos, Danilo Samuel Jodas, Kelton A. P. Costa, Luis Antônio de Souza, Douglas Rodrigues, Javier Del Ser, David Camacho, João Paulo Papa
2024	J	`jnl`	BioNeRF: Biologically Plausible Neural Radiance Fields for View Synthesis. CoRR Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, Kelton A. P. Costa, João Paulo Papa
2024	J	`jnl`	DeepCraftFuse: visual and deeply-learnable features work better together for esophageal cancer detection in patients with Barrett's esophagus. Neural Comput. Appl. 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
2024	—	`conf`	Enhancing Cyberattack Detection in IoT Environments Through Advanced Resampling Techniques. IWSSIP Carlos Alexandre Carvalho Tojeiro, Thiago José Lucas, Leandro A. Passos, Douglas Rodrigues, Simone G. D. Prado, João Paulo Papa, Kelton Augusto Pontara da Costa
2024	J	`jnl`	Facial expressions to identify post-stroke: A pilot study. Comput. Methods Programs Biomed. Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Leonardo S. Oliveira, João P. Papa, Dinesh Kant Kumar
2024	—	`conf`	Graph Matching Networks Meet Optimum-Path Forest: How to Prune Ensembles Efficiently. ICPR (7) Danilo Samuel Jodas, Leandro A. Passos, Douglas Rodrigues, Kelton A. P. Costa, João Paulo Papa
2024	J	`jnl`	Layer-selective deep representation to improve esophageal cancer classification. Medical Biol. Eng. Comput. 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
2024	—	`conf`	Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. IWSSIP Pedro Lamkowski, Douglas Rodrigues, Leandro A. Passos, João P. Papa, Jurandy Almeida
2024	J	`jnl`	Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
2023	—	`conf`	A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. IWSSIP Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa
2023	—	`conf`	A Multi-Class Probabilistic Optimum-Path Forest. VISIGRAPP (5: VISAPP) Silas Evandro Nachif Fernandes, Leandro A. Passos, Danilo S. Jodas, Marco Akio, André N. de Souza, João Paulo Papa
2023	J	`jnl`	Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing Leandro A. Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel
2023	J	`jnl`	Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. CoRR Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa
2023	—	`conf`	FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. VISIGRAPP (4: VISAPP) Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa
2023	J	`jnl`	Gait Recognition Based on Deep Learning: A Survey. ACM Comput. Surv. 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
2023	J	`jnl`	Intelligent IoT security monitoring based on fuzzy optimum-path forest classifier. Soft Comput. Yongzhao Xu, Renato William R. de Souza, Elias P. Medeiros, Neha Jain, Lijuan Zhang, Leandro A. Passos, Victor Hugo C. de Albuquerque
2023	J	`jnl`	Multimodal audio-visual information fusion using canonical-correlated Graph Neural Network for energy-efficient speech enhancement. Inf. Fusion Leandro A. Passos, João Paulo Papa, Javier Del Ser, Amir Hussain, Ahsan Adeel
2023	J	`jnl`	Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. Comput. Methods Programs Biomed. Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, João P. Papa, Danilo S. Jodas, Dinesh K. Kumar
2023	—	`conf`	Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. IWSSIP M. Lydia, Edwin Prem Kumar Gilbert, Akash Ravichandran, Guilherme Brandão Martins, Leandro A. Passos, João P. Papa
2022	J	`jnl`	A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. CoRR Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque
2022	J	`jnl`	A Review of Deep Learning-based Approaches for Deepfake Content Detection. CoRR Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, Luis Antônio Souza Júnior, Danilo Colombo, João Paulo Papa
2022	Misc	`conf`	An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. IbPRIA Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro A. Passos, João Paulo Papa, Kelton Augusto Pontara da Costa
2022	J	`jnl`	Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Future Audio-Visual Hearing Aids. CoRR Leandro A. Passos, João Paulo Papa, Ahsan Adeel
2022	—	`conf`	ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. IWSSIP Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
2022	J	`jnl`	ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. CoRR Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
2022	J	`jnl`	DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. CoRR Daniel F. S. Santos, Rafael Gonçalves Pires, Leandro A. Passos, João P. Papa
2022	B	`conf`	FEMa-FS: Finite Element Machines for Feature Selection. ICPR Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
2022	J	`jnl`	FEMa-FS: Finite Element Machines for Feature Selection. CoRR Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
2022	J	`jnl`	From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. CoRR Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
2022	J	`jnl`	Gait Recognition Based on Deep Learning: A Survey. CoRR 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 Silva Santana, Mateus Roder, João Paulo Papa, Danilo Colombo
2022	J	`jnl`	MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks. CoRR Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa
2022	J	`jnl`	Multimodal Speech Enhancement Using Burst Propagation. CoRR Leandro A. Passos, Khubaib Ahmed, Mohsin Raza, Ahsan Adeel
2022	J	`jnl`	Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
2021	J	`jnl`	A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. CoRR Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa
2021	J	`jnl`	Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines. Comput. Biol. Medicine 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
2021	C	`conf`	DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. IGARSS Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, João P. Papa
2021	C	`conf`	Deep Regressor Networks for Blind Image Deblurring. IGARSS Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa
2021	C	`conf`	Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. CIARP Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa
2021	—	`conf`	Fine-tuning Generative Adversarial Networks using Metaheuristics - A Case Study on Barrett's Esophagus Identification. Bildverarbeitung für die Medizin Luis Antônio de Souza, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa
2021	—	`conf`	From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
2021	J	`jnl`	Intestinal Parasites Classification Using Deep Belief Networks. CoRR Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
2020	—	`conf`	A Layer-Wise Information Reinforcement Approach to Improve Learning in Deep Belief Networks. ICAISC (1) Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Clayton R. Pereira, João Paulo Papa
2020	J	`jnl`	A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE Trans. Fuzzy Syst. Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque
2020	J	`jnl`	A critical literature survey and prospects on tampering and anomaly detection in image data. Appl. Soft Comput. Kelton A. P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque
2020	J	`jnl`	Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Comput. Biol. Medicine Luis Antônio de Souza Júnior, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João P. Papa
2020	—	`conf`	Intestinal Parasites Classification Using Deep Belief Networks. ICAISC (1) Mateus Roder, Leandro A. Passos, Luiz Carlos Felix Ribeiro, Barbara Caroline Benato, Alexandre Xavier Falcão, João Paulo Papa
2020	B	`conf`	O^2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CBMS Leandro A. Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João Paulo Papa
2019	J	`jnl`	Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. J. Vis. Commun. Image Represent. Leandro A. Passos, Luis Antônio de Souza Júnior, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João Paulo Papa
2019	J	`jnl`	Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE Netw. 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
2018	Misc	`conf`	Enhancing Brain Storm Optimization Through Optimum-Path Forest. SACI Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa
2018	Misc	`conf`	Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI Leandro A. Passos, Douglas Rodrigues, João P. Papa
2018	Misc	`conf`	Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. SACI Leandro A. Passos, Clayton R. Pereira, Edmar R. S. Rezende, Tiago J. Carvalho, Silke A. T. Weber, Christian Hook, João P. Papa
2017	—	`conf`	Parkinson's Disease Identification Using Restricted Boltzmann Machines. CAIP (2) Clayton R. Pereira, Leandro A. Passos, Ricardo R. Lopes, Silke A. T. Weber, Christian Hook, João Paulo Papa