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ORCIDLeandro A. Passos Junior
Leandro A. Passos – Leandro Aparecido Passos – Leandro Aparecido Passos Júnior
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Journal Articles
- 2024
[j19]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: 108195 (2024)- 2023
- [j18]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: 107713 (2023) - [j17]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): 34:1-34:34 (2023) - [j16]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: 196-203 (2023) - [j15]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: 1-11 (2023) - [j14]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: 100459 (2023) - [j13]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): 4279-4288 (2023) - 2022
- [j12]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: 108445 (2022) - 2021
- [j11]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: 107466 (2021) - [j10]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:
Computer-assisted Parkinson's disease diagnosis using fuzzy optimum- path forest and Restricted Boltzmann Machines. Comput. Biol. Medicine 131: 104260 (2021) - 2020
- [j9]Leandro Aparecido Passos, João Paulo Papa:
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. Appl. Soft Comput. 97(Part B): 105717 (2020) - [j8]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): 106727 (2020) - [j7]Luis Antônio de Souza Júnior, 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: 104029 (2020) - [j6]Marcos C. S. Santana, Leandro Aparecido Passos Júnior, Thierry Pinheiro Moreira, Danilo Colombo, Victor Hugo C. de Albuquerque, João Paulo Papa:
A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. IEEE Intell. Syst. 35(1): 44-53 (2020) - [j5]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): 3076-3086 (2020) - 2019
- [j4]Parham Khojasteh, Leandro A. Passos Junior, Tiago J. Carvalho, Edmar R. S. Rezende, Behzad Aliahmad, João Paulo Papa, Dinesh Kant Kumar:
Exudate detection in fundus images using deeply-learnable features. Comput. Biol. Medicine 104: 62-69 (2019) - [j3]Leandro A. Passos, Luis Antônio de Souza Júnior, 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: 475-485 (2019) - [j2]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): 126-131 (2019) - 2018
- [j1]Leandro Aparecido Passos, João Paulo Papa:
Temperature-Based Deep Boltzmann Machines. Neural Process. Lett. 48(1): 95-107 (2018)
Conference and Workshop Papers
- 2024
- [c34]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: 648-655 - 2023
- [c33]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: 323-337 - [c32]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: 1-5 - [c31]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: 1-5 - [c30]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: 1-5 - [c29]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: 361-368 - [c28]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: 830-837 - 2022
- [c27]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: 271-282 - [c26]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: 447-457 - [c25]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: 1784-1791 - [c24]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-k NN: A Parameterless Nearest Neighbors Classifier. IWSSIP 2022: 1-4 - [c23]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: 1-4 - [c22]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: 121-126 - 2021
- [c21]Luis Antônio 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: 205-210 - [c20]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: 109-118 - [c19]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: 2843-2846 - [c18]Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa:
Deep Regressor Networks for Blind Image Deblurring. IGARSS 2021: 5390-5393 - [c17]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: 1-8 - 2020
- [c16]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: 498-503 - [c15]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: 1-8 - [c14]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: 231-241 - [c13]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: 242-251 - [c12]Vicente Coelho Lobo Neto, Leandro Aparecido Passos, João Paulo Papa:
Evolving Long Short-Term Memory Networks. ICCS (2) 2020: 337-350 - 2019
- [c11]Leandro Aparecido Passos, Douglas Rodrigues, João Paulo Papa:
Quaternion-Based Backtracking Search Optimization Algorithm. CEC 2019: 3014-3021 - [c10]Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa:
κ-Entropy Based Restricted Boltzmann Machines. IJCNN 2019: 1-8 - 2018
- [c9]Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa:
Enhancing Brain Storm Optimization Through Optimum-Path Forest. SACI 2018: 183-188 - [c8]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: 325-330 - [c7]Leandro A. Passos, Douglas Rodrigues, João P. Papa:
Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI 2018: 419-424 - 2017
- [c6]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: 70-80 - [c5]Leandro A. Passos Junior, Kelton A. P. Costa, João P. Papa:
Deep Boltzmann Machines Using Adaptive Temperatures. CAIP (1) 2017: 172-183 - [c4]Leandro Aparecido Passos, João Paulo Papa:
Fine-Tuning Infinity Restricted Boltzmann Machines. SIBGRAPI 2017: 63-70 - 2016
- [c3]Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang:
Learning Parameters in Deep Belief Networks Through Firefly Algorithm. ANNPR 2016: 138-149 - 2015
- [c2]Patricia B. Ribeiro, Leandro A. Passos Junior, Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Roseli A. F. Romero:
Unsupervised Breast Masses Classification through Optimum-Path Forest. CBMS 2015: 238-243 - 2014
- [c1]Gustavo H. Rosa, Kelton A. P. Costa, Leandro A. Passos Junior, João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares:
On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering. ICPR 2014: 1472-1477
Parts in Books or Collections
- 2020
- [p2]Leandro Aparecido Passos, Gustavo Henrique de Rosa, Douglas Rodrigues, Mateus Roder, João Paulo Papa:
On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks. Deep Neural Evolution 2020: 67-96 - [p1]Douglas Rodrigues, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa:
Adaptive Improved Flower Pollination Algorithm for Global Optimization. Nature-Inspired Computation in Data Mining and Machine Learning 2020: 1-21
Informal and Other Publications
- 2024
- [i23]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 abs/2402.07310 (2024) - 2023
- [i22]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 abs/2301.13671 (2023) - [i21]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 abs/2310.13490 (2023) - 2022
- [i20]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:
Gait Recognition Based on Deep Learning: A Survey. CoRR abs/2201.03323 (2022) - [i19]Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel:
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. CoRR abs/2202.04528 (2022) - [i18]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 abs/2202.06095 (2022) - [i17]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 abs/2202.08934 (2022) - [i16]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 abs/2203.02728 (2022) - [i15]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 abs/2203.02740 (2022) - [i14]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 abs/2203.13856 (2022) - [i13]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 abs/2204.06635 (2022) - [i12]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 abs/2206.02671 (2022) - [i11]Leandro A. Passos, Khubaib Ahmed, Mohsin Raza, Ahsan Adeel:
Multimodal Speech Enhancement Using Burst Propagation. CoRR abs/2209.03275 (2022) - [i10]Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa:
PL-kNN: A Parameterless Nearest Neighbors Classifier. CoRR abs/2209.12647 (2022) - [i9]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 abs/2209.12822 (2022) - [i8]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 abs/2211.17045 (2022) - [i7]Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos:
FEMa-FS: Finite Element Machines for Feature Selection. CoRR abs/2212.02507 (2022) - [i6]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 abs/2212.10411 (2022) - 2021
- [i5]Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa:
O2PF: Oversampling via Optimum-Path Forest for Breast Cancer Detection. CoRR abs/2101.05775 (2021) - [i4]Leandro Aparecido Passos, João Paulo Papa:
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR abs/2101.05795 (2021) - [i3]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 abs/2101.06747 (2021) - [i2]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 abs/2101.06749 (2021) - 2016
- [i1]Leandro A. Passos Junior, João Paulo Papa:
Temperature-Based Deep Boltzmann Machines. CoRR abs/1608.07719 (2016)
Coauthor Index
Danilo Samuel Jodas
aka: Danilo S. Jodas
aka: Danilo S. Jodas
João Paulo Papa
aka: João P. Papa
aka: João P. Papa
[j19] [j18] [j17] [j16] [j15] [j14] [j12] [j11] [j9] [j8] [j7] [j6] [j5] [j4] [j3] [j2] [j1] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [c1] [p2] [p1] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [i1]
Claudio Filipi Goncalves dos Santos
aka: Claudio Filipi Gonçalves dos Santos
aka: Claudio Filipi Gonçalves dos Santos
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