João Paulo Papa

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 162

Top Venues

Publications

Gabriel Lino Garcia, Pedro Henrique Paiola, Danilo Samuel Jodas, Luis Afonso Sugi, João Paulo Papa
Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset. PROPOR (2024)
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)
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)
Gabriel Lino Garcia, Pedro Henrique Paiola, Luis Henrique Morelli, Giovani Candido, Arnaldo Cândido Júnior, Danilo Samuel Jodas, Luis C. S. Afonso, Ivan Rizzo Guilherme, Bruno Elias Penteado, João Paulo Papa
Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. CoRR (2024)
Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. VISIGRAPP (3): VISAPP (2024)
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing 589 (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)
Juliana da Costa Feitosa, Mateus Roder, João Paulo Papa, José Remo Ferreira Brega
Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. VISIGRAPP (3): VISAPP (2024)
Claudio Filipi Gonçalves dos Santos, João Paulo Papa
Rethinking Regularization with Random Label Smoothing. Neural Process. Lett. 56 (3) (2024)
Danilo Samuel Jodas, Sergio Brazolin, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Takashi Yojo, João Paulo Papa
Urban tree failure probability prediction based on dendrometric aspects and machine learning models. Comput. Environ. Urban Syst. 108 (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)
Pedro Henrique Paiola, Gabriel Lino Garcia, Danilo Samuel Jodas, João Vitor Mariano Correia, Luis C. S. Afonso, João Paulo Papa
RecognaSumm: A Novel Brazilian Summarization Dataset. PROPOR (2024)
Rafael Junqueira Martarelli, Douglas Rodrigues, Clayton Reginaldo Pereira, Jurandy Almeida, João Paulo Papa
Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition. VISIGRAPP (2): VISAPP (2024)
Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. VISIGRAPP (4: VISAPP) (2023)
Danilo Samuel Jodas, Giuliana Del Nero Velasco, Reinaldo Araujo de Lima, Aline Ribeiro Machado, João Paulo Papa
Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage. VISIGRAPP (4: VISAPP) (2023)
Nícolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo de Oliveira, Mateus Roder, João Paulo Papa
Facial Point Graphs for Stroke Identification. CIARP (2023)
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 (2023)
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 (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)
Luis Claudio Sugi Afonso, Douglas Rodrigues, João Paulo Papa
Nature-inspired optimum-path forest. Evol. Intell. 16 (1) (2023)
Mateus Roder, Nícolas Barbosa Gomes, Arissa Yoshida, João Paulo Papa, Fumie Costen
Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. SIBGRAPI (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)
Luiz Fernando Merli de Oliveira Sementille, Douglas Rodrigues, André Nunes de Souuza, João Paulo Papa
Binary Flying Squirrel Optimizer for Feature Selection. BRACIS (3) (2023)
Douglas Rodrigues, Kelton Augusto Pontara da Costa, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa
Opposition-Based Jellyfish Search for Feature Selection. IWSSIP (2023)
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)
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)
Thiago José Lucas, Inaê Soares de Figueiredo, Carlos Alexandre Carvalho Tojeiro, Alex Marino G. de Almeida, Rafal Scherer, José Remo Ferreira Brega, João Paulo Papa, Kelton Augusto Pontara da Costa
A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks. IEEE Access 11 (2023)
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)
Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo Papa
Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish. VISIGRAPP (4: VISAPP) (2023)
Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. CoRR (2023)
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)
Claudio Filipi Gonçalves dos Santos, João Paulo Papa
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. CoRR (2022)
Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
PL-k NN: A Parameterless Nearest Neighbors Classifier. IWSSIP (2022)
Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa
Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. 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)
Thiago José Lucas, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa
An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance. SMC (2022)
Guilherme B. Martins, João Paulo Papa
Collaborative Filtering Matches Decision Templates: A Practical Approach to Estimate Predictions. SIBGRAPI (2022)
Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa
Modeling implicit bias with fuzzy cognitive maps. Neurocomputing 481 (2022)
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 (2022)
Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel
A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. CoRR (2022)
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa
Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR (2022)
Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
PL-kNN: A Parameterless Nearest Neighbors Classifier. CoRR (2022)
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)
Gustavo Henrique de Rosa, João Paulo Papa
A survey on text generation using generative adversarial networks. CoRR (2022)
João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. 89 (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)
Danilo Samuel Jodas, Takashi Yojo, Sergio Brazolin, Giuliana Del Nero Velasco, João Paulo Papa
Detection of Trees on Street-View Images Using a Convolutional Neural Network. Int. J. Neural Syst. 32 (1) (2022)
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 (2022)
Claudio Filipi Goncalves dos Santos, João Paulo Papa
Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. ACM Comput. Surv. 54 (10s) (2022)
Guilherme B. Martins, João Paulo Papa
How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. SIBGRAPI (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)
João Paulo Papa, João Manuel R. S. Tavares
Editorial of the special section on CIARP 2021. Pattern Recognit. Lett. 163 (2022)
Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, Luis Antonio de Souza Júnior, João Paulo Papa, Ram Sarkar
A fuzzy distance-based ensemble of deep models for cervical cancer detection. Comput. Methods Programs Biomed. 219 (2022)
Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR (2022)
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 (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)
Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, João Paulo Papa, Rouverson Pereira da Silva
Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. Comput. Electron. Agric. 191 (2021)
Rafael Goncalves Pires, Daniel F. S. Santos, Marcos C. S. Santana, Cláudio F. G. Santos, João Paulo Papa
Image Denoising using Attention-Residual Convolutional Neural Networks. CoRR (2021)
Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette
Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI (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)
Leandro Aparecido Passos, João Paulo Papa
A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR (2021)
Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI (2021)
Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme
SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. ACL/IJCNLP (Findings) (2021)
Paulo R. Galego Hernandes, Camila P. Floret, Katia F. Cardozo De Almeida, Vinícius Camargo Da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa
Phishing Detection Using URL-based XAI Techniques. SSCI (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)
Gustavo Henrique de Rosa, João Paulo Papa
Speeding Up OPFython with Numba. CoRR (2021)
Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang
A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. CoRR (2021)
Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa
Modeling Implicit Bias with Fuzzy Cognitive Maps. CoRR (2021)
Robert Mendel, Luis Antônio de Souza Junior, David Rauber, João Paulo Papa, Christoph Palm
Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision. Bildverarbeitung für die Medizin (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)
Danilo Samuel Jodas, Sergio Brazolin, Takashi Yojo, Reinaldo Araujo de Lima, Giuliana Del Nero Velasco, Aline Ribeiro Machado, João Paulo Papa
A Deep Learning-based Approach for Tree Trunk Segmentation. SIBGRAPI (2021)
Adriana S. Iwashita, Douglas Rodrigues, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa
An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. Comput. Electr. Eng. 95 (2021)
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 (2021)
Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida
Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. CoRR (2021)
Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu
Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 8 (5) (2020)
Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa
Does Removing Pooling Layers from Convolutional Neural Networks Improve Results? SN Comput. Sci. 1 (5) (2020)
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)
Thiago José Lucas, Carlos Alexandre Carvalho Tojeiro, Rafael Goncalves Pires, Kelton Augusto Pontara da Costa, João Paulo Papa
Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI. ICAISC (1) (2020)
João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
Weakly Supervised Learning through Rank-based Contextual Measures. ICPR (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)
Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. ICPR (2020)
Douglas Rodrigues, Victor Hugo C. de Albuquerque, João Paulo Papa
A multi-objective artificial butterfly optimization approach for feature selection. Appl. Soft Comput. 94 (2020)
Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa
BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. CBMS (2020)
Guilherme B. Martins, João Paulo Papa, Hojjat Adeli
Deep learning techniques for recommender systems based on collaborative filtering. Expert Syst. J. Knowl. Eng. 37 (6) (2020)
Guilherme B. Martins, Danillo Roberto Pereira, Jurandy Gomes de Almeida Junior, Victor Hugo C. de Albuquerque, João Paulo Papa
OPFSumm: on the video summarization using Optimum-Path Forest. Multim. Tools Appl. 79 (15-16) (2020)
Aldo Culquicondor, Alexandro Baldassin, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa
An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing 393 (2020)
Leandro Aparecido Passos, João Paulo Papa
A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. Appl. Soft Comput. 97 (Part B) (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)
Robert Mendel, Luis Antonio De Souza, David Rauber, João Paulo Papa, Christoph Palm
Semi-supervised Segmentation Based on Error-Correcting Supervision. ECCV (29) (2020)
Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão
OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR (2020)
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) (2020)
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve
Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. CEC (2020)
Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo
Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) (2020)
Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
Learnergy: Energy-based Machine Learners. CoRR (2020)
Danilo R. Pereira, Marco Antonio Piteri, André N. de Souza, João Paulo Papa, Hojjat Adeli
FEMa: a finite element machine for fast learning. Neural Comput. Appl. 32 (10) (2020)
Henrique Leal Tavares, João Baptista Cardia Neto, João Paulo Papa, Danilo Colombo, Aparecido Nilceu Marana
People Identification Based on Soft Biometrics Features Obtained from 2D Poses. BRACIS (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)
Vicente Coelho Lobo Neto, Leandro Aparecido Passos, João Paulo Papa
Evolving Long Short-Term Memory Networks. ICCS (2) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

João Paulo Papa