João Paulo Papa

258 papers B 26C 18Misc 7Journal 118Unranked 81

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bias beyond borders: quantifying gender and ethnic stereotypes across countries in AI image generation. AI Ethics Giovanni Franco, Regilene Aparecida Sarzi Ribeiro, João Paulo Papa, Kelton Augusto Pontara da Costa, Felipe Rodrigues Perche Mahlow
2026	J	`jnl`	Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. Medical Image Anal. Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2026	J	`jnl`	LiwTERM-r: A Revised Lightweight Transformer-based Model for Multimodal Skin Lesion Detection Robust to Incomplete Input. J. Braz. Comput. Soc. Luis Antônio de Souza Júnior, Andre Georghton Cardoso Pacheco, Thiago Oliveira Dos Santos, Wyctor Fogos da Rocha, Pedro H. G. Bouzon, Christoph Palm, João Paulo Papa
2026	—	`conf`	Retail Shelf Monitoring Using Deep Hough Transform and Object Detection. VISAPP (2) Luiz Fernando Merli de Oliveira Sementille, Marcos Cleison Silva Santana, Douglas Rodrigues, Danilo Samuel Jodas, Kelton Augusto Pontara da Costa, Fabio Luiz de Oliveira, João Paulo Papa
2025	Misc	`conf`	A Convolutional Recurrent Mixer Network For Radar Meteorological Image Super-Resolution. ICASSP Rafael Gonçalves Pires, Daniel F. S. Santos, Roberto V. Calheiros, João Paulo Papa, Ik Hyun Lee, Sambit Bakshi, Khan Muhammad
2025	B	`conf`	A Hybrid Quantum-Classical Model for Breast Cancer Diagnosis with Quanvolutions. CBMS Yasmin Rodrigues Sobrinho, Enzo Gabriel Batista Soares, João Renato Ribeiro Manesco, Jawaher Al-Tuweity, Rafael Gonçalves Pires, João Paulo Papa
2025	B	`conf`	A Step Forward for Medical LLMs in Brazilian Portuguese: Establishing a Benchmark and a Strong Baseline. CBMS Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Pedro Henrique Crespan Ribeiro, Ana Lara Alves Garcia, João Paulo Papa
2025	J	`jnl`	Abstractive Summarization with LLMs for Texts in Brazilian Portuguese. J. Braz. Comput. Soc. Hugo A. P. G. De Camargo, Pedro Henrique Paiola, Gabriel Lino Garcia, João Paulo Papa
2025	J	`jnl`	Brain Age Prediction Using a Lightweight Convolutional Neural Network. IEEE Access Fatma El Zahraa Magdy, Mario Parreño Centeno, James H. Cole, João Paulo Papa, Fumie Costen
2025	J	`jnl`	Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge. CoRR Tobias Rueckert, David Rauber, Raphaela Maerkl, Leonard Klausmann, Suemeyye R. Yildiran, Max Gutbrod, Danilo Weber Nunes, Alvaro Fernandez Moreno, Imanol Luengo, Danail Stoyanov, Nicolas Toussaint, Enki Cho, Hyeon Bae Kim, Oh Sung Choo, Ka Young Kim, Seong Tae Kim, Gonçalo Arantes, Kehan Song, Jianjun Zhu, Junchen Xiong, Tingyi Lin, Shunsuke Kikuchi, Hiroki Matsuzaki, Atsushi Kouno, João Renato Ribeiro Manesco, João Paulo Papa, Tae-Min Choi, Tae Kyeong Jeong, Juyoun Park, Oluwatosin Alabi, Meng Wei, Tom Vercauteren, Runzhi Wu, Mengya Xu, An Wang, Long Bai, Hongliang Ren, Amine Yamlahi, Jakob Hennighausen, Lena Maier-Hein, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Shu Yang, Yihui Wang, Hao Chen, Santiago Rodríguez, Nicolás Aparicio, Leonardo Manrique, Juan Camilo Lyons, Olivia Hosie, Nicolás Ayobi, Pablo Arbeláez, Yiping Li, Yasmina Al Khalil, Sahar Nasirihaghighi, Stefanie Speidel, Daniel Rueckert, Hubertus Feussner, Dirk Wilhelm, Christoph Palm
2025	—	`conf`	Customized Atrous Spatial Pyramid Pooling with Joint Convolutions for Urban Tree Segmentation. VISIGRAPP (3): VISAPP Danilo Samuel Jodas, Giuliana Del Nero Velasco, Sergio Brazolin, Reinaldo Araújo de Lima, Leandro Aparecido Passos, João Paulo Papa
2025	J	`jnl`	Efficient bridge damage detection using a lightweight attention-based modeling framework. Comput. Aided Civ. Infrastructure Eng. Junjie Huang, Yongzhuo Zhu, Mingfu Xiong, Javier Del Ser, Aziz Alotaibi, João Paulo Papa, Khan Muhammad
2025	J	`jnl`	Evaluating Large Language Models for Brazilian Portuguese Sentiment Analysis: A Comparative Study of Multilingual State-of-the-Art vs. Brazilian Portuguese Fine-Tuned LLMs. J. Braz. Comput. Soc. André da Fonseca Schuck, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, João Paulo Papa
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
2025	—	`conf`	Learning a Kernel-Based Beran Estimator Using Nearest-Neighbours and Its Application to Reliability Analysis. ICANN (4) Danilo Samuel Jodas, Christian Laurence Almeida Barry, Guilherme Brandão Martins, Marcos Cleison S. Santana, Andre Luis Severino Abrego, Danilo Colombo, João Paulo Papa
2025	—	`conf`	Optimum-Path Forest Ensembles to Estimate the Internal Decay in Urban Trees. VISIGRAPP (2): VISAPP Giovani Candido, Luis Henrique Morelli, Danilo Samuel Jodas, Giuliana Del Nero Velasco, Reinaldo Araújo de Lima, Kelton Augusto Pontara da Costa, João Paulo Papa
2025	B	`conf`	Quantum Approaches for Degree-Constrained Minimum Spanning Tree Computation. IJCNN Rafael Simões do Carmo, Marcos Cleison Silva Santana, Felipe Fernandes Fanchini, Kelton A. P. Costa, Weslley Santana Rosalem, João Paulo Papa
2025	J	`jnl`	Robust Opposition-Based Jellyfish Search Algorithms for Large-Scale and Bound-Constrained Optimization. SN Comput. Sci. Douglas Rodrigues, Luiz Fernando Merli de Oliveira Sementille, João Paulo Papa
2025	J	`jnl`	The Bode Family of Large Language Models: Investigating the Frontiers of LLMs in Brazilian Portuguese. J. Braz. Comput. Soc. Pedro Henrique Paiola, Gabriel Lino Garcia, João Vitor Mariano Correia, João Renato Ribeiro Manesco, Ana Lara Alves Garcia, João Paulo Papa
2025	J	`jnl`	TransConv: a lightweight architecture based on transformers and convolutional neural networks for adenocarcinoma and Barrett's esophagus identification. Neural Comput. Appl. Luis Antônio de Souza, André G. C. Pacheco, Alberto F. De Souza, Thiago Oliveira-Santos, Claudine Badue, Christoph Palm, João Paulo Papa
2025	—	`conf`	Using Knowledge Graphs to Analyze Geomechanical Events in Daily Drilling Reports. ESWC (Satellite Events) Jonas F. P. Queiroz, Luis C. S. Afonso, Nelson Choueri, Marcelo A. Jaculli, Ivan Rizzo Guilherme, Bruno Elias Penteado, José Ricardo Pelaquim Mendes, João Paulo Papa, Stephan R. Perrout, Felipe L. Oliveira
2024	—	`conf`	A Quantum-inspired Approach to Estimate Optimum-Path Forest Prototypes based on the Traveling Salesman Problem. ICPR (7) Maria Angélica Krüger Miranda, Felipe Fernandes Fanchini, Leandro Aparecido Passos, Douglas Rodrigues, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa
2024	J	`jnl`	A Review on Scientific Knowledge Extraction using Large Language Models in Biomedical Sciences. CoRR Gabriel Lino Garcia, João Renato Ribeiro Manesco, Pedro Henrique Paiola, Lucas Miranda, Maria Paola de Salvo, João Paulo Papa
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`	Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation. CoRR Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa
2024	—	`conf`	Assessing Levodopa Effectiveness in Parkison's Disease During Gait Using Electroencephalogram and Machine Learning. IWSSIP Rafael Gonçalves Pires, Clayton Reginaldo Pereira, Tiago Penedo, João Paulo Papa, Mateus Roder, Fabio Augusto Barbieri
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	—	`conf`	Convolutional Neural Networks and Image Patches for Lithological Classification of Brazilian Pre-Salt Rocks. VISIGRAPP (3): VISAPP 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
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`	Denoising Autoencoder for Partial Discharge Identification in Instrument Transformers. IWSSIP Matheus Goes Crivelaro, Douglas Rodrigues, André Gifalli, João Paulo Papa, Carlos Guilherme Gonzales, André Nunes de Souza, Gustavo Vinícius Da Silva, Erasmo Silveira Neto
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	—	`conf`	Ensemble Diversity Pruning on Cybersecurity: Optimizing Intrusion Detection Systems. IWSSIP Thiago José Lucas, Leandro Aparecido Passos, Douglas Rodrigues, Danilo S. Jodas, João Paulo Papa, Kelton Augusto Pontara da Costa, Rafal Scherer
2024	—	`conf`	Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. VISIGRAPP (3): VISAPP Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
2024	—	`conf`	GemBode and PhiBode: Adapting Small Language Models to Brazilian Portuguese. CIARP (1) Gabriel Lino Garcia, Pedro Henrique Paiola, Eduardo Garcia, João Renato Ribeiro Manesco, João Paulo Papa
2024	—	`conf`	Graph Feature Embeddings for Patient Re-Identification from Chest X-Ray Images. SIBGRAPI João Renato Ribeiro Manesco, Danilo Samuel Jodas, Maurício José Grapíggia Zanella, Marcel Koenigkam-Santos, João Paulo Papa
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	—	`conf`	Hate Speech Detection in Portuguese Using BERTimbau. CIARP (1) João Otávio Rodrigues Ferreira Frediani, Gabriel Lino Garcia, Pedro Henrique Paiola, Leandro Aparecido Passos, João Paulo Papa, Aparecido Nilceu Marana
2024	—	`conf`	Impact of Quantization on Large Language Models for Portuguese Classification Tasks. CIARP (1) Danilo Samuel Jodas, Gabriel Lino Garcia, Pedro Henrique Paiola, João Renato Ribeiro Manesco, João Paulo Papa
2024	—	`conf`	Influence of Pixel Perturbation on eXplainable Artificial Intelligence Methods. VISIGRAPP (3): VISAPP Juliana da Costa Feitosa, Mateus Roder, João Paulo Papa, José Remo Ferreira Brega
2024	J	`jnl`	Introducing Bode: A Fine-Tuned Large Language Model for Portuguese Prompt-Based Task. CoRR 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
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	J	`jnl`	Quantum neural networks successfully calibrate language models. Quantum Mach. Intell. Jogi Suda Neto, Lluis Quiles Ardila, Thiago Nascimento Nogueira, Felipe Albuquerque, João Paulo Papa, Rodrigo Capobianco Guido, Felipe Fernandes Fanchini
2024	—	`conf`	RecognaSumm: A Novel Brazilian Summarization Dataset. PROPOR (1) Pedro Henrique Paiola, Gabriel Lino Garcia, Danilo Samuel Jodas, João Vitor Mariano Correia, Luis C. S. Afonso, João Paulo Papa
2024	J	`jnl`	Rethinking Regularization with Random Label Smoothing. Neural Process. Lett. Claudio Filipi Gonçalves dos Santos, João Paulo Papa
2024	—	`conf`	Strategies for Classifier Selection Based on Genetic Programming for Multimedia Data Recognition. VISIGRAPP (2): VISAPP Rafael Junqueira Martarelli, Douglas Rodrigues, Clayton Reginaldo Pereira, Jurandy Almeida, João Paulo Papa
2024	—	`conf`	Text Summarization and Temporal Learning Models Applied to Portuguese Fake News Detection in a Novel Brazilian Corpus Dataset. PROPOR (1) Gabriel Lino Garcia, Pedro Henrique Paiola, Danilo Samuel Jodas, Luis Afonso Sugi, João Paulo Papa
2024	J	`jnl`	Urban tree failure probability prediction based on dendrometric aspects and machine learning models. Comput. Environ. Urban Syst. Danilo Samuel Jodas, Sergio Brazolin, Giuliana Del Nero Velasco, Reinaldo Araújo de Lima, Takashi Yojo, João Paulo Papa
2024	J	`jnl`	Weakly supervised classification through manifold learning and rank-based contextual measures. Neurocomputing João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
2024	J	`jnl`	Why consider quantum instead classical pattern recognition techniques? Appl. Soft Comput. Artur Gomes Barreto, Felipe Fernandes Fanchini, João Paulo Papa, Victor Hugo C. de Albuquerque
2023	J	`jnl`	A Comprehensive Survey on Ensemble Learning-Based Intrusion Detection Approaches in Computer Networks. IEEE Access Thiago José Lucas, Inaê Soares de Figueiredo, Carlos Alexandre Carvalho Tojeiro, Alex Marino Gonçalves de Almeida, Rafal Scherer, José Remo Ferreira Brega, João Paulo Papa, Kelton Augusto Pontara da Costa
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	—	`conf`	Binary Flying Squirrel Optimizer for Feature Selection. BRACIS (3) Luiz Fernando Merli de Oliveira Sementille, Douglas Rodrigues, André Nunes de Souuza, 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	—	`conf`	Deep Learning Semantic Segmentation Models for Detecting the Tree Crown Foliage. VISIGRAPP (4: VISAPP) Danilo Samuel Jodas, Giuliana Del Nero Velasco, Reinaldo Araújo de Lima, Aline Ribeiro Machado, João Paulo Papa
2023	—	`conf`	Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. VISIGRAPP (4: VISAPP) Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa
2023	J	`jnl`	Facial Point Graphs for Amyotrophic Lateral Sclerosis Identification. CoRR Nícolas Barbosa Gomes, Arissa Yoshida, Mateus Roder, Guilherme Camargo de Oliveira, João Paulo Papa
2023	C	`conf`	Facial Point Graphs for Stroke Identification. CIARP Nícolas Barbosa Gomes, Arissa Yoshida, Guilherme Camargo de Oliveira, Mateus Roder, João Paulo Papa
2023	—	`conf`	Feature Selection and Hyperparameter Fine-Tuning in Artificial Neural Networks for Wood Quality Classification. BRACIS (2) Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
2023	J	`jnl`	Feature Selection and Hyperparameter Fine-tuning in Artificial Neural Networks for Wood Quality Classification. CoRR Mateus Roder, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
2023	—	`conf`	Fine-Tuning Restricted Boltzmann Machines Using No-Boundary Jellyfish. VISIGRAPP (4: VISAPP) Douglas Rodrigues, Gustavo Henrique de Rosa, Kelton Augusto Pontara da Costa, Danilo Samuel Jodas, João Paulo 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	—	`conf`	Multimodal Convolutional Deep Belief Networks for Stroke Classification with Fourier Transform. SIBGRAPI Mateus Roder, Nícolas Barbosa Gomes, Arissa Yoshida, João Paulo Papa, Fumie Costen
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`	Nature-inspired optimum-path forest. Evol. Intell. Luis Claudio Sugi Afonso, Douglas Rodrigues, João Paulo Papa
2023	—	`conf`	OPFsemble: An Ensemble Pruning Approach via Optimum-Path Forest. IWSSIP Danilo Samuel Jodas, Leandro Aparecido Passos, Douglas Rodrigues, Thiago José Lucas, Kelton Augusto Pontara da Costa, João Paulo Papa
2023	—	`conf`	Opposition-Based Jellyfish Search for Feature Selection. IWSSIP Douglas Rodrigues, Kelton Augusto Pontara da Costa, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa
2023	J	`jnl`	PL-kNN: A Python-based implementation of a parameterless k-Nearest Neighbors classifier. Softw. Impacts Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
2022	J	`jnl`	A Multimodal Canonical-Correlated Graph Neural Network for Energy-Efficient Speech Enhancement. CoRR Leandro Aparecido Passos, João Paulo Papa, Amir Hussain, Ahsan Adeel
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	J	`jnl`	A fuzzy distance-based ensemble of deep models for cervical cancer detection. Comput. Methods Programs Biomed. Rishav Pramanik, Momojit Biswas, Shibaprasad Sen, Luis Antônio de Souza Júnior, João Paulo Papa, Ram Sarkar
2022	J	`jnl`	A survey on text generation using generative adversarial networks. CoRR Gustavo Henrique de Rosa, 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`	An End-to-End Approach for Seam Carving Detection using Deep Neural Networks. CoRR Thierry Pinheiro Moreira, Marcos Cleison S. Santana, Leandro Aparecido Passos, João Paulo Papa, Kelton Augusto Pontara da Costa
2022	B	`conf`	An Ensemble Pruning Approach to Optimize Intrusion Detection Systems Performance. SMC Thiago José Lucas, Kelton Augusto Pontara da Costa, Rafal Scherer, João Paulo Papa
2022	J	`jnl`	Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. CoRR Claudio Filipi Gonçalves dos Santos, João Paulo Papa
2022	J	`jnl`	Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks. ACM Comput. Surv. Claudio Filipi Goncalves dos Santos, João Paulo Papa
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`	Collaborative Filtering Matches Decision Templates: A Practical Approach to Estimate Predictions. SIBGRAPI Guilherme Brandão Martins, João Paulo Papa
2022	J	`jnl`	Comparative Study Between Distance Measures On Supervised Optimum-Path Forest Classification. CoRR Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa
2022	J	`jnl`	Detection of Trees on Street-View Images Using a Convolutional Neural Network. Int. J. Neural Syst. Danilo Samuel Jodas, Takashi Yojo, Sergio Brazolin, Giuliana Del Nero Velasco, João Paulo Papa
2022	J	`jnl`	Editorial of the special section on CIARP 2021. Pattern Recognit. Lett. João Paulo Papa, João Manuel R. S. Tavares
2022	J	`jnl`	Extractive Text Summarization Using Generalized Additive Models with Interactions for Sentence Selection. CoRR Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa
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`	Handling Imbalanced Datasets Through Optimum-Path Forest. CoRR Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa
2022	J	`jnl`	Handling imbalanced datasets through Optimum-Path Forest. Knowl. Based Syst. Leandro Aparecido Passos, Danilo S. Jodas, Luiz Carlos Felix Ribeiro, Marco Akio, André Nunes de Souza, João Paulo Papa
2022	—	`conf`	How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. SIBGRAPI Guilherme Brandão Martins, João Paulo Papa
2022	J	`jnl`	Improving Pre-Trained Weights Through Meta-Heuristics Fine-Tuning. CoRR Gustavo H. de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
2022	Misc	`conf`	MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. IbPRIA Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro Aparecido Passos, João Paulo Papa
2022	J	`jnl`	Modeling implicit bias with fuzzy cognitive maps. Neurocomputing Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa
2022	—	`conf`	Multiclass Oversampling via Optimum-Path Forest for Tree Species Classification from Street-view Perspectives. SIBGRAPI Danilo Samuel Jodas, Leandro Aparecido Passos, Giuliana Del Nero Velasco, Mariana Hortelani Carneseca Longo, Aline Ribeiro Machado, João Paulo Papa
2022	—	`conf`	PL-k NN: A Parameterless Nearest Neighbors Classifier. IWSSIP Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
2022	J	`jnl`	PL-kNN: A Parameterless Nearest Neighbors Classifier. CoRR Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel, João Paulo Papa
2022	J	`jnl`	Weakly supervised learning based on hypergraph manifold ranking. J. Vis. Commun. Image Represent. João Gabriel Camacho Presotto, Samuel Felipe dos Santos, Lucas Pascotti Valem, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida, Daniel Carlos Guimarães Pedronette
2021	—	`conf`	A Deep Learning-based Approach for Tree Trunk Segmentation. SIBGRAPI Danilo Samuel Jodas, Sergio Brazolin, Takashi Yojo, Reinaldo Araújo de Lima, Giuliana Del Nero Velasco, Aline Ribeiro Machado, João Paulo Papa
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`	A Metaheuristic-Driven Approach to Fine-Tune Deep Boltzmann Machines. CoRR Leandro Aparecido Passos, João Paulo Papa
2021	J	`jnl`	A Nature-Inspired Feature Selection Approach based on Hypercomplex Information. CoRR Gustavo Henrique de Rosa, João Paulo Papa, Xin-She Yang
2021	—	`conf`	Abstract: Semi-supervised Segmentation Based on Error-correcting Supervision. Bildverarbeitung für die Medizin Robert Mendel, Luis Antônio de Souza Júnior, David Rauber, João Paulo Papa, Christoph Palm
2021	J	`jnl`	An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. Comput. Electr. Eng. Adriana S. Iwashita, Douglas Rodrigues, Danilo S. Gastaldello, André Nunes de Souza, João Paulo Papa
2021	—	`conf`	Enhancing Shallow Neural Networks Through Fourier-based Information Fusion for Stroke Classification. SIBGRAPI Mateus Roder, Gustavo Henrique Rosa, João Paulo Papa, Daniel Carlos Guimarães Pedronette
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	J	`jnl`	Image Denoising using Attention-Residual Convolutional Neural Networks. CoRR Rafael Goncalves Pires, Daniel F. S. Santos, Marcos C. S. Santana, Cláudio F. G. Santos, João Paulo Papa
2021	—	`conf`	Improving Pre- Trained Weights through Meta - Heuristics Fine- Tuning. SSCI Gustavo Henrique de Rosa, Mateus Roder, João Paulo Papa, Claudio Filipi Goncalves dos Santos
2021	J	`jnl`	Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. CoRR Lucas Fernando Alvarenga e Silva, Daniel Carlos Guimarães Pedronette, Fábio Augusto Faria, João Paulo Papa, Jurandy Almeida
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
2021	J	`jnl`	Modeling Implicit Bias with Fuzzy Cognitive Maps. CoRR Gonzalo Nápoles, Isel Grau, Leonardo Concepción, Lisa Koutsoviti Koumeri, João Paulo Papa
2021	—	`conf`	Phishing Detection Using URL-based XAI Techniques. SSCI Paulo R. Galego Hernandes, Camila P. Floret, Katia F. Cardozo De Almeida, Vinícius Camargo da Silva, João Paulo Papa, Kelton Augusto Pontara da Costa
2021	J	`jnl`	Predicting on multi-target regression for the yield of sweet potato by the market class of its roots upon vegetation indices. Comput. Electron. Agric. Danilo Tedesco, Bruno Rafael de Almeida Moreira, Marcelo Rodrigues Barbosa Júnior, João Paulo Papa, Rouverson Pereira da Silva
2021	C	`ed.`	Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications - 25th Iberoamerican Congress, CIARP 2021, Porto, Portugal, May 10-13, 2021, Revised Selected Papers CIARP João Manuel R. S. Tavares, João Paulo Papa, Manuel González Hidalgo
2021	J	`jnl`	Reinforcing learning in Deep Belief Networks through nature-inspired optimization. Appl. Soft Comput. Mateus Roder, Leandro Aparecido Passos, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, João Paulo Papa
2021	—	`conf`	SMS Spam Detection Through Skip-gram Embeddings and Shallow Networks. ACL/IJCNLP (Findings) Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, João Paulo Papa, Ivan Rizzo Guilherme
2021	J	`jnl`	Speeding Up OPFython with Numba. CoRR Gustavo Henrique de Rosa, 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 Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. IEEE Intell. Syst. Marcos C. S. Santana, Leandro Aparecido Passos Júnior, Thierry Pinheiro Moreira, Danilo Colombo, Victor Hugo C. de Albuquerque, João Paulo Papa
2020	J	`jnl`	A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. Appl. Soft Comput. Leandro Aparecido Passos, João Paulo Papa
2020	J	`jnl`	A multi-objective artificial butterfly optimization approach for feature selection. Appl. Soft Comput. Douglas Rodrigues, Victor Hugo C. de Albuquerque, João Paulo Papa
2020	—	`ch.`	Adaptive Improved Flower Pollination Algorithm for Global Optimization. Nature-Inspired Computation in Data Mining and Machine Learning Douglas Rodrigues, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa
2020	J	`jnl`	An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing Aldo Culquicondor, Alexandro Baldassin, César Castelo-Fernández, João P. L. de Carvalho, João Paulo Papa
2020	B	`conf`	BreastNet: Breast Cancer Categorization Using Convolutional Neural Networks. CBMS Claudio Filipi Goncalves dos Santos, Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, João Paulo Papa
2020	J	`jnl`	Deep learning techniques for recommender systems based on collaborative filtering. Expert Syst. J. Knowl. Eng. Guilherme Brandão Martins, João Paulo Papa, Hojjat Adeli
2020	J	`jnl`	Does Removing Pooling Layers from Convolutional Neural Networks Improve Results? SN Comput. Sci. Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa
2020	—	`conf`	Evolving Long Short-Term Memory Networks. ICCS (2) Vicente Coelho Lobo Neto, Leandro Aparecido Passos, João Paulo Papa
2020	J	`jnl`	FEMa: a finite element machine for fast learning. Neural Comput. Appl. Danilo R. Pereira, Marco Antonio Piteri, André N. de Souza, João Paulo Papa, Hojjat Adeli
2020	B	`conf`	Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. CEC Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa, Fabricio Aparecido Breve
2020	B	`conf`	Harnessing Particle Swarm optimization Through Relativistic Velocity. CEC Mateus Roder, Gustavo Henrique de Rosa, Leandro Aparecido Passos, João Paulo Papa, André Luis Debiaso Rossi
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	J	`jnl`	Learnergy: Energy-based Machine Learners. CoRR Mateus Roder, Gustavo Henrique de Rosa, João Paulo Papa
2020	—	`conf`	Machine Learning for Web Intrusion Detection: A Comparative Analysis of Feature Selection Methods mRMR and PFI. ICAISC (1) Thiago José Lucas, Carlos Alexandre Carvalho Tojeiro, Rafael Goncalves Pires, Kelton Augusto Pontara da Costa, João Paulo Papa
2020	—	`conf`	Manifold Learning-based Clustering Approach Applied to Anomaly Detection in Surveillance Videos. VISIGRAPP (5: VISAPP) Leonardo Tadeu Lopes, Lucas Pascotti Valem, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, João Paulo Papa, Marcos Cleison Silva Santana, Danilo Colombo
2020	B	`conf`	MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. ICPR Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
2020	J	`jnl`	MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. CoRR Claudio Filipi Goncalves dos Santos, Danilo Colombo, Mateus Roder, João Paulo Papa
2020	J	`jnl`	OPFSumm: on the video summarization using Optimum-Path Forest. Multim. Tools Appl. Guilherme Brandão Martins, Danillo Roberto Pereira, Jurandy Gomes de Almeida Junior, Victor Hugo C. de Albuquerque, João Paulo Papa
2020	J	`jnl`	OPFython: A Python-Inspired Optimum-Path Forest Classifier. CoRR Gustavo Henrique de Rosa, João Paulo Papa, Alexandre Xavier Falcão
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
2020	—	`ch.`	On the Assessment of Nature-Inspired Meta-Heuristic Optimization Techniques to Fine-Tune Deep Belief Networks. Deep Neural Evolution Leandro Aparecido Passos, Gustavo Henrique de Rosa, Douglas Rodrigues, Mateus Roder, João Paulo Papa
2020	—	`conf`	People Identification Based on Soft Biometrics Features Obtained from 2D Poses. BRACIS Henrique Leal Tavares, João Baptista Cardia Neto, João Paulo Papa, Danilo Colombo, Aparecido Nilceu Marana
2020	—	`conf`	Semi-supervised Segmentation Based on Error-Correcting Supervision. ECCV (29) Robert Mendel, Luis Antônio de Souza, David Rauber, João Paulo Papa, Christoph Palm
2020	J	`jnl`	Special issue: 4th MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu
2020	B	`conf`	Weakly Supervised Learning through Rank-based Contextual Measures. ICPR João Gabriel Camacho Presotto, Lucas Pascotti Valem, Nikolas Gomes de Sá, Daniel Carlos Guimarães Pedronette, João Paulo Papa
2019	—	`conf`	A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. ICANN (Workshop) Rafael Goncalves Pires, Daniel Felipe Silva Santos, Gustavo Botelho de Souza, Alexandre L. M. Levada, João Paulo Papa
2019	J	`jnl`	An Overview on Concept Drift Learning. IEEE Access Adriana S. Iwashita, João Paulo Papa
2019	J	`jnl`	Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. Neural Comput. Appl. Pedro Pedrosa Rebouças Filho, Antônio Carlos da Silva Barros, Geraldo L. B. Ramalho, Clayton R. Pereira, João Paulo Papa, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
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`	Deep Features Extraction for Robust Fingerprint Spoofing Attack Detection. J. Artif. Intell. Soft Comput. Res. Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa
2019	C	`conf`	Does Pooling Really Matter? An Evaluation on Gait Recognition. CIARP Claudio Filipi Goncalves dos Santos, Thierry Pinheiro Moreira, Danilo Colombo, João Paulo Papa
2019	J	`jnl`	Editorial. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2019	J	`jnl`	Exudate detection in fundus images using deeply-learnable features. Comput. Biol. Medicine Parham Khojasteh, Leandro A. Passos Junior, Tiago J. Carvalho, Edmar R. S. Rezende, Behzad Aliahmad, João Paulo Papa, Dinesh Kant Kumar
2019	J	`jnl`	Improving optimum-path forest learning using bag-of-classifiers and confidence measures. Pattern Anal. Appl. Silas Evandro Nachif Fernandes, 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
2019	J	`jnl`	Learning concept drift with ensembles of optimum-path forest-based classifiers. Future Gener. Comput. Syst. Adriana S. Iwashita, Victor Hugo C. de Albuquerque, João Paulo Papa
2019	B	`conf`	Quaternion-Based Backtracking Search Optimization Algorithm. CEC Leandro Aparecido Passos, Douglas Rodrigues, João Paulo Papa
2019	J	`jnl`	Semi-supervised learning with connectivity-driven convolutional neural networks. Pattern Recognit. Lett. Willian Paraguassu Amorim, Gustavo Henrique Rosa, Rogério Thomazella, José Eduardo Cogo Castanho, Fábio Romano Lofrano Dotto, Oswaldo Pons Rodrigues Júnior, Aparecido Nilceu Marana, João Paulo Papa
2019	J	`jnl`	Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. Comput. Electron. Agric. Willian Paraguassu Amorim, Everton Castelao Tetila, Hemerson Pistori, João Paulo Papa
2019	B	`conf`	κ-Entropy Based Restricted Boltzmann Machines. IJCNN Leandro Aparecido Passos, Marcos Cleison Silva Santana, Thierry Pinheiro Moreira, João Paulo Papa
2018	J	`jnl`	1st MICCAI workshop on deep learning in medical image analysis. Comput. methods Biomech. Biomed. Eng. Imaging Vis. Gustavo Carneiro, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Jacinto C. Nascimento, Jaime S. Cardoso, Zhi Lu, Vasileios Belagiannis
2018	J	`jnl`	Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. Comput. Electron. Agric. Danillo Roberto Pereira, João Paulo Papa, Gustavo Francisco Rosalin Saraiva, Gustavo Maia Souza
2018	—	`conf`	Barrett's Esophagus Identification Using Color Co-Occurrence Matrices. SIBGRAPI Luis Souza, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João Paulo Papa, Robert Mendel, Christoph Palm
2018	—	`ed.`	Deep Learning in Medical Image Analysis - and - Multimodal Learning for Clinical Decision Support - 4th International Workshop, DLMIA 2018, and 8th International Workshop, ML-CDS 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 20, 2018, Proceedings DLMIA/ML-CDS@MICCAI Danail Stoyanov, Zeike Taylor, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, Anne L. Martel, Lena Maier-Hein, João Manuel R. S. Tavares, Andrew P. Bradley, João Paulo Papa, Vasileios Belagiannis, Jacinto C. Nascimento, Zhi Lu, Sailesh Conjeti, Mehdi Moradi, Hayit Greenspan, Anant Madabhushi
2018	J	`jnl`	EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm. IEEE Access Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, João Paulo Papa, Osama Ahmad Alomari
2018	—	`conf`	Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection. BRACIS Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, João Paulo Papa, Aparecido Nilceu Marana
2018	Misc	`conf`	Enhancing Brain Storm Optimization Through Optimum-Path Forest. SACI Luis Claudio Sugi Afonso, Leandro A. Passos, João Paulo Papa
2018	B	`conf`	Improving Optimum- Path Forest Classification Using Unsupervised Manifold Learning. ICPR Luis Claudio Sugi Afonso, Daniel Carlos Guimarães Pedronette, André N. de Souza, João Paulo Papa
2018	—	`conf`	On the Learning of Deep Local Features for Robust Face Spoofing Detection. SIBGRAPI Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana
2018	J	`jnl`	On the Learning of Deep Local Features for Robust Face Spoofing Detection. CoRR Gustavo Botelho de Souza, João Paulo Papa, Aparecido Nilceu Marana
2018	J	`jnl`	On the Study of Commercial Losses in Brazil: A Binary Black Hole Algorithm for Theft Characterization. IEEE Trans. Smart Grid Caio C. O. Ramos, Douglas Rodrigues, André N. de Souza, João Paulo Papa
2018	Misc	`conf`	Seam Carving Detection Using Convolutional Neural Networks. SACI Luiz Fernandoda Silva Cieslak, Kelton Augusto Pontara da Costa, João Paulo Papa
2018	B	`conf`	Stroke Lesion Detection Using Convolutional Neural Networks. IJCNN Danillo Roberto Pereira, Pedro Pedrosa Rebouças Filho, Gustavo Henrique de Rosa, João Paulo Papa, Victor Hugo C. de Albuquerque
2018	J	`jnl`	Temperature-Based Deep Boltzmann Machines. Neural Process. Lett. Leandro Aparecido Passos, João Paulo Papa
2018	—	`conf`	Unsupervised Dialogue Act Classification with Optimum-Path Forest. SIBGRAPI Luiz Carlos Felix Ribeiro, João Paulo Papa
2017	C	`conf`	A Deep Boltzmann Machine-Based Approach for Robust Image Denoising. CIARP Rafael Goncalves Pires, Daniel F. S. Santos, Gustavo Botelho de Souza, Aparecido Nilceu Marana, Alexandre L. M. Levada, João Paulo Papa
2017	—	`conf`	A Robust Restricted Boltzmann Machine for Binary Image Denoising. SIBGRAPI Rafael Goncalves Pires, Daniel Felipe Silva Santos, Luís A. M. Pereira, Gustavo Botelho de Souza, Alexandre Luis Magalhaes Levada, João Paulo Papa
2017	J	`jnl`	A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. Pattern Recognit. Lett. João Paulo Papa, Gustavo Henrique Rosa, Luciene P. Papa
2017	—	`conf`	Barrett's Esophagus Analysis Using SURF Features. Bildverarbeitung für die Medizin Luis Souza, Christian Hook, João Paulo Papa, Christoph Palm
2017	—	`conf`	Barrett's Esophagus Identification Using Optimum-Path Forest. SIBGRAPI Luis Antônio de Souza, Luis Claudio Sugi Afonso, Christoph Palm, João Paulo Papa
2017	—	`conf`	Blur Parameter Identification Through Optimum-Path Forest. CAIP (2) Rafael Goncalves Pires, Silas Evandro Nachif Fernandes, João Paulo Papa
2017	B	`conf`	Deep Boltzmann machines for robust fingerprint spoofing attack detection. IJCNN Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa
2017	—	`ed.`	Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support - Third International Workshop, DLMIA 2017, and 7th International Workshop, ML-CDS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017, Proceedings DLMIA/ML-CDS@MICCAI M. Jorge Cardoso, Tal Arbel, Gustavo Carneiro, Tanveer F. Syeda-Mahmood, João Manuel R. S. Tavares, Mehdi Moradi, Andrew P. Bradley, Hayit Greenspan, João Paulo Papa, Anant Madabhushi, Jacinto C. Nascimento, Jaime S. Cardoso, Vasileios Belagiannis, Zhi Lu
2017	J	`jnl`	Deep Texture Features for Robust Face Spoofing Detection. IEEE Trans. Circuits Syst. II Express Briefs Gustavo Botelho de Souza, Daniel Felipe Silva Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João Paulo Papa
2017	J	`jnl`	Editorial: Special Section on deep image and video understanding. Pattern Recognit. João Paulo Papa, Ryan Farrell
2017	—	`conf`	Feature selection using geometric semantic genetic programming. GECCO (Companion) Gustavo H. Rosa, João Paulo Papa, Luciene P. Papa
2017	—	`conf`	Fine-Tuning Infinity Restricted Boltzmann Machines. SIBGRAPI Leandro Aparecido Passos, João Paulo Papa
2017	J	`jnl`	Introduction to the special section on Image and Video Processing. Comput. Electr. Eng. Eduardo Cabal-Yepez, Guillermo Botella, Amir Hooshang Mazinan, João Paulo Papa
2017	J	`jnl`	LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques. CoRR João Paulo Papa, Gustavo Henrique Rosa, Douglas Rodrigues, Xin-She Yang
2017	J	`jnl`	Optimum-Path Forest based on k-connectivity: Theory and applications. Pattern Recognit. Lett. João Paulo Papa, Silas Evandro Nachif Fernandes, Alexandre Xavier Falcão
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
2017	—	`conf`	Parkinson's Disease Identification through Deep Optimum-Path Forest Clustering. SIBGRAPI Luis Claudio Sugi Afonso, Clayton Reginaldo Pereira, Silke Anna Theresa Weber, Christian Hook, João Paulo Papa
2017	—	`conf`	Pruning Optimum-Path Forest Classifiers Using Multi-Objective Optimization. SIBGRAPI Douglas Rodrigues, André Nunes de Souza, João Paulo Papa
2017	B	`conf`	Pruning optimum-path forest ensembles using quaternion-based optimization. IJCNN Silas Evandro Nachif Fernandes, João Paulo Papa
2017	J	`jnl`	Quaternion-based Deep Belief Networks fine-tuning. Appl. Soft Comput. João Paulo Papa, Gustavo H. Rosa, Danillo Roberto Pereira, Xin-She Yang
2016	J	`jnl`	A Hyperheuristic Approach for Unsupervised Land-Cover Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. João Paulo Papa, Luciene P. Papa, Danillo Roberto Pereira, Rodrigo Jose Pisani
2016	C	`conf`	A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning. CIARP Aldo Culquicondor, César Castelo-Fernández, João Paulo Papa
2016	J	`jnl`	A Probabilistic Optimum-Path Forest Classifier for Binary Classification Problems. CoRR Silas Evandro Nachif Fernandes, Danillo Roberto Pereira, Caio C. O. Ramos, André N. de Souza, João Paulo Papa
2016	C	`conf`	A block-based Markov random field model estimation for contextual classification using Optimum-Path Forest. ISCAS Daniel Osaku, Alexandre L. M. Levada, João Paulo Papa
2016	J	`jnl`	A new approach to contextual learning using interval arithmetic and its applications for land-use classification. Pattern Recognit. Lett. Danillo Roberto Pereira, João Paulo Papa
2016	—	`ch.`	Convolutional Neural Networks Applied for Parkinson's Disease Identification. Machine Learning for Health Informatics Clayton R. Pereira, Danillo Roberto Pereira, João Paulo Papa, Gustavo H. Rosa, Xin-She Yang
2016	—	`ed.`	Deep Learning and Data Labeling for Medical Applications - First International Workshop, LABELS 2016, and Second International Workshop, DLMIA 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings LABELS/DLMIA@MICCAI Gustavo Carneiro, Diana Mateus, Loïc Peter, Andrew P. Bradley, João Manuel R. S. Tavares, Vasileios Belagiannis, João Paulo Papa, Jacinto C. Nascimento, Marco Loog, Zhi Lu, Jaime S. Cardoso, Julien Cornebise
2016	—	`conf`	Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics. SIBGRAPI Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Gustavo H. Rosa, João Paulo Papa
2016	J	`jnl`	Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification. IEEE Geosci. Remote. Sens. Lett. Daniel Osaku, Danillo Roberto Pereira, Alexandre L. M. Levada, João Paulo Papa
2016	J	`jnl`	Fine-tuning Deep Belief Networks using Harmony Search. Appl. Soft Comput. João Paulo Papa, Walter J. Scheirer, David Daniel Cox
2016	—	`conf`	Learning Parameters in Deep Belief Networks Through Firefly Algorithm. ANNPR Gustavo H. Rosa, João Paulo Papa, Kelton A. P. Costa, Leandro A. Passos Junior, Clayton R. Pereira, Xin-She Yang
2016	—	`conf`	Learning to Classify Seismic Images with Deep Optimum-Path Forest. SIBGRAPI Luis Claudio Sugi Afonso, Alexandre Campane Vidal, Michelle Kuroda, Alexandre Xavier Falcão, João Paulo Papa
2016	J	`jnl`	Recent Advances in Brain Signal Analysis: Methods and Applications. Comput. Intell. Neurosci. Victor Hugo C. de Albuquerque, Plácido Rogério Pinheiro, João Paulo Papa, João Manuel R. S. Tavares, Ronaldo Parente de Menezes, Carlos A. S. Oliveira
2016	—	`ch.`	Recent Advances on optimum-Path Forest for Data Classification: Supervised, Semi-Supervised, and Unsupervised Learning. Handbook of Pattern Recognition and Computer Vision João Paulo Papa, Willian Paraguassu Amorim, Alexandre Xavier Falcão, João Manuel R. S. Tavares
2016	J	`jnl`	Temperature-Based Deep Boltzmann Machines. CoRR Leandro A. Passos Junior, João Paulo Papa
2016	—	`conf`	Temporal-and Spatial-Driven Video Summarization Using Optimum-Path Forest. SIBGRAPI Guilherme Brandão Martins, João Paulo Papa, Jurandy Almeida
2015	B	`conf`	A Step Towards the Automated Diagnosis of Parkinson's Disease: Analyzing Handwriting Movements. CBMS Clayton R. Pereira, Danillo Roberto Pereira, Francisco A. da Silva, Christian Hook, Silke A. T. Weber, Luís A. M. Pereira, João Paulo Papa
2015	—	`ch.`	Binary Flower Pollination Algorithm and Its Application to Feature Selection. Recent Advances in Swarm Intelligence and Evolutionary Computation Douglas Rodrigues, Xin-She Yang, André Nunes de Souza, João Paulo Papa
2015	—	`conf`	Black Hole Algorithm for non-technical losses characterization. LASCAS Douglas Rodrigues, Caio Cesar Oba Ramos, André Nunes de Souza, João Paulo Papa
2015	C	`conf`	Fine-Tuning Convolutional Neural Networks Using Harmony Search. CIARP Gustavo H. Rosa, João Paulo Papa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox
2015	C	`conf`	Improving Optimum-Path Forest Classification Using Confidence Measures. CIARP Silas Evandro Nachif Fernandes, Walter J. Scheirer, David D. Cox, João Paulo Papa
2015	J	`jnl`	Improving land cover classification through contextual-based optimum-path forest. Inf. Sci. Daniel Osaku, Rodrigo Y. M. Nakamura, Luís A. M. Pereira, Rodrigo Jose Pisani, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão, João Paulo Papa
2015	C	`conf`	Land-cover classification through sequential learning-based optimum-path forest. IGARSS Danillo Roberto Pereira, Rodrigo Pisani, Rodrigo Nakamura, João Paulo Papa
2015	C	`conf`	Malware Detection in Android-Based Mobile Environments Using Optimum-Path Forest. ICMLA Kelton A. P. da Costa, Luis Alexandre da Silva, Guilherme Brandão Martins, Gustavo H. Rosa, Clayton R. Pereira, João Paulo Papa
2015	J	`jnl`	Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques. J. Comput. Sci. João Paulo Papa, Gustavo H. Rosa, Aparecido Nilceu Marana, Walter J. Scheirer, David D. Cox
2015	J	`jnl`	On the optical flow model selection through metaheuristics. EURASIP J. Image Video Process. Danillo Roberto Pereira, José Delpiano, João Paulo Papa
2015	C	`conf`	SMS Spam Filtering Through Optimum-Path Forest-Based Classifiers. ICMLA Dheny Fernandes, Kelton A. P. da Costa, Tiago A. Almeida, João Paulo Papa
2015	C	`conf`	Supervised Video Genre Classification Using Optimum-Path Forest. CIARP Guilherme Brandão Martins, Jurandy Almeida, João Paulo Papa
2015	C	`conf`	Unsupervised land-cover classification through hyper-heuristic-based Harmony Search. IGARSS João Paulo Papa, Luciene P. Papa, Rodrigo Pisani, Danillo Roberto Pereira
2014	—	`conf`	3D Network Traffic Monitoring Based on an Automatic Attack Classifier. ICCSA (2) Diego Roberto Colombo Dias, José Remo Ferreira Brega, Luis Carlos Trevelin, Bruno Barberi Gnecco, João Paulo Papa, Marcelo de Paiva Guimarães
2014	B	`conf`	A Binary Krill Herd Approach for Feature Selection. ICPR Douglas Rodrigues, Luís A. M. Pereira, João Paulo Papa, Silke A. T. Weber
2014	J	`jnl`	A path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier. Pattern Recognit. Lett. Adriana S. Iwashita, João Paulo Papa, André N. de Souza, Alexandre X. Falcão, Roberto A. Lotufo, V. M. Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
2014	—	`conf`	A social-spider optimization approach for support vector machines parameters tuning. SIS Danillo Roberto Pereira, Mario A. Pazoti, Luís A. M. Pereira, João Paulo Papa
2014	J	`jnl`	A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest. Expert Syst. Appl. Douglas Rodrigues, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, Xin-She Yang, André N. de Souza, João Paulo Papa
2014	—	`conf`	Evolutionary Optimization Applied for Fine-Tuning Parameter Estimation in Optical Flow-Based Environments. SIBGRAPI Danillo Roberto Pereira, José Delpiano, João Paulo Papa
2014	—	`conf`	Learning Kernels for Support Vector Machines with Polynomial Powers of Sigmoid. SIBGRAPI Silas Evandro Nachif Fernandes, André Luiz Pilastri, Luís A. M. Pereira, Rafael Goncalves Pires, João Paulo Papa
2014	B	`conf`	On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering. ICPR Gustavo H. Rosa, Kelton A. P. Costa, Leandro A. Passos Junior, João Paulo Papa, Alexandre X. Falcão, João Manuel R. S. Tavares
2014	B	`conf`	Optimum-Path Forest Applied for Breast Masses Classification. CBMS Patricia B. Ribeiro, Kelton A. P. da Costa, João Paulo Papa, Roseli A. Francelin Romero
2014	B	`conf`	Social-Spider Optimization-Based Artificial Neural Networks Training and Its Applications for Parkinson's Disease Identification. CBMS Luís A. M. Pereira, Douglas Rodrigues, Patricia B. Ribeiro, João Paulo Papa, Silke A. T. Weber
2014	J	`jnl`	Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest. IEEE Trans. Geosci. Remote. Sens. Rodrigo Jose Pisani, Rodrigo Yuji Mizobe Nakamura, Paulina Setti Riedel, Célia Regina Lopes Zimback, Alexandre Xavier Falcão, João Paulo Papa
2013	—	`conf`	A Multiple Labeling-Based Optimum-Path Forest for Video Content Classification. SIBGRAPI Luís A. M. Pereira, João Paulo Papa, Jurandy Almeida, Ricardo da Silva Torres, Willian Paraguassu Amorim
2013	—	`conf`	Automated diagnosis of human intestinal parasites using optical microscopy images. ISBI Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão, Sumie Hoshino-Shimizu, João Paulo Papa
2013	C	`conf`	BCS: A Binary Cuckoo Search algorithm for feature selection. ISCAS Douglas Rodrigues, Luís A. M. Pereira, T. N. S. Almeida, João Paulo Papa, André N. de Souza, Caio C. O. Ramos, Xin-She Yang
2013	—	`conf`	Harmony search applied for support vector machines training optimization. EUROCON Luís A. M. Pereira, João Paulo Papa, André N. de Souza
2013	—	`conf`	OPF-MRF: Optimum-Path Forest and Markov Random Fields for Contextual-Based Image Classification. CAIP (2) Rodrigo Nakamura, Daniel Osaku, Alexandre L. M. Levada, Fabio Augusto Cappabianco, Alexandre X. Falcão, João Paulo Papa
2013	B	`conf`	Optimizing Contextual-Based Optimum-Forest Classification through Swarm Intelligence. ACIVS Daniel Osaku, Rodrigo Nakamura, João Paulo Papa, Alexandre L. M. Levada, Fabio A. M. Cappabianco, Alexandre X. Falcão
2012	B	`conf`	Automatic visual dictionary generation through Optimum-Path Forest clustering. ICIP Luis Claudio Sugi Afonso, João Paulo Papa, Luciene P. Papa, Aparecido Nilceu Marana, Anderson Rocha
2012	—	`conf`	Boosting Optimum-Path Forest clustering through harmony Search and its applications for intrusion detection in computer networks. CASoN Kelton A. P. Costa, Clayton R. Pereira, Rodrigo Nakamura, Luís A. M. Pereira, João Paulo Papa
2012	J	`jnl`	How Far do We Get Using Machine Learning Black-Boxes? Int. J. Pattern Recognit. Artif. Intell. Anderson Rocha, João Paulo Papa, Luis A. A. Meira
2012	C	`conf`	Hyperspectral band selection through Optimum-Path Forest and evolutionary-based algorithms. IGARSS Rodrigo Nakamura, João Paulo Papa, Leila M. G. Fonseca, Jefersson Alex dos Santos, Ricardo da Silva Torres
2012	J	`jnl`	IFTrace: Video segmentation of deformable objects using the Image Foresting Transform. Comput. Vis. Image Underst. Rodrigo Minetto, Thiago Vallin Spina, Alexandre X. Falcão, Neucimar Jerônimo Leite, João Paulo Papa, Jorge Stolfi
2012	B	`conf`	Intrusion detection in computer networks using Optimum-Path Forest clustering. LCN Kelton A. P. Costa, Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa
2011	—	`conf`	A Graph-Based Framework for Thermal Faceprint Characterization. ICIAP (1) Daniel Osaku, Aparecido Nilceu Marana, João Paulo Papa
2011	C	`conf`	A Markov Random Field Model for Combining Optimum-Path Forest Classifiers Using Decision Graphs and Game Strategy Approach. CIARP Moacir P. Ponti Jr., João Paulo Papa, Alexandre L. M. Levada
2011	Misc	`conf`	Feature selection through gravitational search algorithm. ICASSP João Paulo Papa, Andre Pagnin, Silvana Artioli Schellini, André Augusto Spadotto, Rodrigo Capobianco Guido, Moacir P. Ponti Jr., Giovani Chiachia, Alexandre X. Falcão
2011	B	`conf`	Image categorization through optimum path forest and visual words. ICIP João Paulo Papa, Anderson Rocha
2011	B	`conf`	Intrusion detection system using Optimum-Path Forest. LCN Clayton R. Pereira, Rodrigo Nakamura, João Paulo Papa, Kelton A. P. Costa
2011	—	`conf`	Optimum-Path Forest Pruning Parameter Estimation through Harmony Search. SIBGRAPI Rodrigo Nakamura, Clayton R. Pereira, João Paulo Papa, Alexandre X. Falcão
2011	J	`jnl`	Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques. Eng. Appl. Artif. Intell. Ivan Rizzo Guilherme, Aparecido Nilceu Marana, João Paulo Papa, Giovani Chiachia, Luis Claudio Sugi Afonso, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres
2011	C	`conf`	What is the importance of selecting features for non-technical losses identification? ISCAS Caio C. O. Ramos, João Paulo Papa, André N. de Souza, Giovani Chiachia, Alexandre X. Falcão
2010	—	`conf`	Fast Automatic Microstructural Segmentation of Ferrous Alloy Samples Using Optimum-Path Forest. CompIMAGE João Paulo Papa, Victor Hugo C. de Albuquerque, Alexandre X. Falcão, João Manuel R. S. Tavares
2010	—	`conf`	How Far You Can Get Using Machine Learning Black-Boxes. SIBGRAPI Anderson Rocha, João Paulo Papa, Luis A. A. Meira
2010	C	`conf`	Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets. CIARP César Castelo-Fernández, Pedro J. de Rezende, Alexandre X. Falcão, João Paulo Papa
2010	J	`jnl`	Robust Pruning of Training Patterns for Optimum-Path Forest Classification Applied to Satellite-Based Rainfall Occurrence Estimation. IEEE Geosci. Remote. Sens. Lett. João Paulo Papa, Alexandre Xavier Falcão, Greice Martins de Freitas, Ana Maria Heuminski de Ávila
2010	Misc	`conf`	Robust and fast Vowel Recognition Using Optimum-Path Forest. ICASSP João Paulo Papa, Aparecido Nilceu Marana, André Augusto Spadotto, Rodrigo Capobianco Guido, Alexandre X. Falcão
2009	—	`conf`	Satellite-Based Rainfall Estimation through Semi-supervised Learning. CSIE (6) Greice Martins de Freitas, Ana Maria Heuminski de Ávila, João Paulo Papa
2008	J	`jnl`	Denoising swallowing sound to improve the evaluator's qualitative analysis. Comput. Electr. Eng. André Augusto Spadotto, João Paulo Papa, Ana Rita Gatto, Paula Cristina Cola, Jose Carlos Pereira, Rodrigo Capobianco Guido, Arthur Oscar Schelp, Carlos Dias Maciel, Arlindo Neto Montagnoli
2008	J	`jnl`	Learning How to Extract Rotation-Invariant and Scale-Invariant Features from Texture Images. EURASIP J. Adv. Signal Process. Javier A. Montoya-Zegarra, João Paulo Papa, Neucimar Jerônimo Leite, Ricardo da Silva Torres, Alexandre X. Falcão