Leandro A. Passos Junior

According to our database, Leandro A. Passos Junior authored at least 62 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

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., October, 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., April, 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, March, 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, Ahsan Adeel

Neurocomputing, March, 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, Ahsan Adeel

Inf. Fusion, 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

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

Proceedings of the 18th International Joint Conference on Computer Vision, 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

Proceedings of the 18th International Joint Conference on Computer Vision, 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

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 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

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 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

Proceedings of the 30th International Conference on Systems, Signals and Image Processing, 2023

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

Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

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

PL-kNN: A Parameterless Nearest Neighbors Classifier.

Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa

CoRR, 2022

Multimodal Speech Enhancement Using Burst Propagation.

Leandro A. Passos, Khubaib Ahmed, Mohsin Raza, Ahsan Adeel

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

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

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

A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement.

Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel

CoRR, 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

Proceedings of the 35th SIBGRAPI Conference on Graphics, Patterns and Images, 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

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

PL-k NN: A Parameterless Nearest Neighbors Classifier.

Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa

Proceedings of the 29th International Conference on Systems, Signals and Image Processing, 2022

FEMa-FS: Finite Element Machines for Feature Selection.

Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos

Proceedings of the 26th International Conference on Pattern Recognition, 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

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

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

Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022

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

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

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

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

Proceedings of the IEEE Symposium Series on Computational Intelligence, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Deep Regressor Networks for Blind Image Deblurring.

Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

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

Proceedings of the Bildverarbeitung für die Medizin 2021, 2021

2020

Adaptive Improved Flower Pollination Algorithm for Global Optimization.

Douglas Rodrigues, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa

Proceedings of the Nature-Inspired Computation in Data Mining and Machine Learning, 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

Proceedings of the Deep Neural Evolution - Deep Learning with Evolutionary Computation, 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, João P. Papa, Victor Hugo C. de Albuquerque

IEEE Trans. Fuzzy Syst., 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

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 metaheuristic-driven approach to fine-tune Deep Boltzmann Machines.

Leandro Aparecido Passos, João Paulo Papa

Appl. Soft Comput., 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, Victor Hugo C. de Albuquerque

Appl. Soft Comput., 2020

Evolving Long Short-Term Memory Networks.

Vicente Coelho Lobo Neto, Leandro Aparecido Passos, João Paulo Papa

Proceedings of the Computational Science - ICCS 2020, 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

Proceedings of the Artificial Intelligence and Soft Computing, 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

Proceedings of the Artificial Intelligence and Soft Computing, 2020

Harnessing Particle Swarm optimization Through Relativistic Velocity.

Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi

Proceedings of the IEEE Congress on Evolutionary Computation, 2020

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

Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

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

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

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

κ-Entropy Based Restricted Boltzmann Machines.

Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa

Proceedings of the International Joint Conference on Neural Networks, 2019

Quaternion-Based Backtracking Search Optimization Algorithm.

Leandro Aparecido Passos, Douglas Rodrigues, João Paulo Papa

Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018

Temperature-Based Deep Boltzmann Machines.

Leandro Aparecido Passos, João Paulo Papa

Neural Process. Lett., 2018

Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches.

Leandro A. Passos, Douglas Rodrigues, João P. Papa

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 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

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

Enhancing Brain Storm Optimization Through Optimum-Path Forest.

Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa

Proceedings of the 12th IEEE International Symposium on Applied Computational Intelligence and Informatics, 2018

2017

Fine-Tuning Infinity Restricted Boltzmann Machines.

Leandro Aparecido Passos, João Paulo Papa

Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 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

Proceedings of the Computer Analysis of Images and Patterns, 2017

Deep Boltzmann Machines Using Adaptive Temperatures.

Leandro A. Passos Junior, Kelton A. P. Costa, João P. Papa

Proceedings of the Computer Analysis of Images and Patterns, 2017

2016

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

Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015

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

Proceedings of the 28th IEEE International Symposium on Computer-Based Medical Systems, 2015

2014

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

Proceedings of the 22nd International Conference on Pattern Recognition, 2014