João P. Papa - RankMe

160 papers B 15C 18Misc 3Journal 84Unranked 40

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	FALQON-MST: A Fully Quantum Framework for Graph Optimization in Vision Systems. VISAPP (1) Guilherme E. L. Pexe, Lucas A. M. Rattighieri, Leandro A. Passos, Douglas Rodrigues, Danilo S. Jodas, João P. Papa, Kelton A. P. da Costa
2025	J	`jnl`	A pilot study for speech assessment to detect the severity of Parkinson's disease: An ensemble approach. Comput. Biol. Medicine Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, Arissa Yoshida, Nícolas Barbosa Gomes, João P. Papa, Dinesh Kant Kumar
2025	—	`conf`	Domain-Invariant Classification of Misplaced Medical Devices in Plain Chest X-Ray Images. RTSI João Renato Ribeiro Manesco, Leandro A. Passos, Érika M. Hoshino, Letícia B. Oliveira, Marcel Koenigkam-Santos, João P. Papa
2025	—	`conf`	Enhancing Governance and Explainability in Large Language Models: A Framework for Interpretability-Driven Decision-Making. RTSI Pedro H. Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Lucas Miranda, Maria Paola de Salvo, João P. Papa
2025	—	`conf`	LLM-Based Template Generation with Knowledge Graphs for Daily Drilling Reports. ESWC (Satellite Events) Luis Henrique Morelli, Giovani Candido, Jonas F. P. Queiroz, Marcelo A. Jaculli, Nelson Choueri Jr., Arnaldo Cândido Jr., Bruno Elias Penteado, Ivan Rizzo Guilherme, João P. Papa, Stephan R. Perrout, Felipe L. Oliveira
2024	B	`conf`	A Stable Diffusion Approach for RGB to Thermal Image Conversion for Leg Ulcer Assessment. CBMS Guilherme C. Oliveira, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar
2024	J	`jnl`	A binary particle swarm optimization-based pruning approach for environmentally sustainable and robust CNNs. Neurocomputing Jihene Tmamna, Rahma Fourati, Emna Ben Ayed, Leandro A. Passos, João P. Papa, Mounir Ben Ayed, Amir Hussain
2024	J	`jnl`	Facial expressions to identify post-stroke: A pilot study. Comput. Methods Programs Biomed. Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, Leonardo S. Oliveira, João P. Papa, Dinesh Kant Kumar
2024	—	`conf`	LiwTERM: A Lightweight Transformer-Based Model for Dermatological Multimodal Lesion Detection. SIBGRAPI Luis A. Souza, André G. C. Pacheco, Gabriel De Angelo, Thiago Oliveira-Santos, Christoph Palm, João P. Papa
2024	B	`conf`	NestNeuro: Leveraging Chatbots for Vocal Screening. CBMS Guilherme C. Oliveira, Nemuel Daniel Pah, Quoc Cuong Ngo, João P. Papa, Dinesh Kant Kumar
2024	—	`conf`	Neural Architecture Search for Enhancing Action Video Recognition in Compressed Domains. IWSSIP Pedro Lamkowski, Douglas Rodrigues, Leandro A. Passos, João P. Papa, Jurandy Almeida
2024	J	`jnl`	Robust deep learning for eye fundus images: Bridging real and synthetic data for enhancing generalization. Biomed. Signal Process. Control. Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
2023	—	`conf`	A Historic-Best Particle Swarm Optimization Approach for Trust-based Routing in Smart Grid Networks. IWSSIP Edwin Prem Kumar Gilbert, A. Immanuel Selvakumar, M. Lydia, Baskaran Kaliaperumal, Danilo Samuel Jodas, Leandro A. Passos, João P. Papa
2023	C	`conf`	Deblur Capsule Networks. CIARP Daniel Felipe Silva Santos, Rafael Goncalves Pires, João P. Papa
2023	J	`jnl`	Enhancing Hyper-To-Real Space Projections Through Euclidean Norm Meta-Heuristic Optimization. CoRR Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo H. de Rosa, Leandro A. Passos, João P. Papa
2023	J	`jnl`	Error-Correcting Mean-Teacher: Corrections instead of consistency-targets applied to semi-supervised medical image segmentation. Comput. Biol. Medicine Robert Mendel, David Rauber, Luis Antônio de Souza, João P. Papa, Christoph Palm
2023	J	`jnl`	Explaining COVID-19 diagnosis with Taylor decompositions. Neural Comput. Appl. Mohammad Mehedi Hassan, Salman A. AlQahtani, Abdulhameed Alelaiwi, João P. Papa
2023	—	`conf`	FakeRecogna Anomaly: Fake News Detection in a New Brazilian Corpus. VISIGRAPP (4: VISAPP) Gabriel Lino Garcia, Luis C. S. Afonso, Leandro A. Passos, Danilo S. Jodas, Kelton A. P. da Costa, João P. Papa
2023	J	`jnl`	TITAN: A LighTweIght Temporal Attention Network for Remote Sensing Image Change Detection. IEEE Geosci. Remote. Sens. Lett. Daniel F. S. Santos, João P. Papa
2023	J	`jnl`	Tabular data augmentation for video-based detection of hypomimia in Parkinson's disease. Comput. Methods Programs Biomed. Guilherme C. Oliveira, Quoc Cuong Ngo, Leandro A. Passos, João P. Papa, Danilo S. Jodas, Dinesh K. Kumar
2023	—	`conf`	Temporal Dengue Outbreak Prediction from Climatic Variables using Finite Element Machines for Regression. IWSSIP M. Lydia, Edwin Prem Kumar Gilbert, Akash Ravichandran, Guilherme Brandão Martins, Leandro A. Passos, João P. Papa
2022	J	`jnl`	A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. CoRR Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque
2022	—	`conf`	ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. IWSSIP Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
2022	J	`jnl`	ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. CoRR Talita A. Pereira, Regina C. Popim, Leandro A. Passos, Danillo Roberto Pereira, Clayton R. Pereira, João P. Papa
2022	J	`jnl`	Convolutional neural networks ensembles through single-iteration optimization. Soft Comput. Luiz Carlos Felix Ribeiro, Gustavo H. de Rosa, Douglas Rodrigues, João P. Papa
2022	J	`jnl`	DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. CoRR Daniel F. S. Santos, Rafael Gonçalves Pires, Leandro A. Passos, João P. Papa
2022	—	`conf`	Deep Learning-Based Abstractive Summarization for Brazilian Portuguese Texts. BRACIS (2) Pedro H. Paiola, Gustavo H. de Rosa, João P. Papa
2022	J	`jnl`	EEG Channel Selection Based User Identification via Improved Flower Pollination Algorithm. Sensors Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, João P. Papa, Mohammed Azmi Al-Betar, Karrar Hameed Abdulkareem, Mazin Abed Mohammed, Seifedine Kadry, Orawit Thinnukool, Pattaraporn Khuwuthyakorn
2022	J	`jnl`	EEG Channel Selection for Person Identification Using Binary Grey Wolf Optimizer. IEEE Access Zaid Abdi Alkareem Alyasseri, Osama Ahmad Alomari, Sharif Naser Makhadmeh, Seyedali Mirjalili, Mohammed Azmi Al-Betar, Salwani Abdullah, Nabeel Salih Ali, João P. Papa, Douglas Rodrigues, Ammar Kamal Abasi
2022	J	`jnl`	Energy-Based Dropout in Restricted Boltzmann Machines: Why Not Go Random. IEEE Trans. Emerg. Top. Comput. Intell. Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
2022	B	`conf`	FEMa-FS: Finite Element Machines for Feature Selection. ICPR Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
2022	J	`jnl`	FEMa-FS: Finite Element Machines for Feature Selection. CoRR Lucas Biaggi, João P. Papa, Kelton A. P. Costa, Danillo Roberto Pereira, Leandro A. Passos
2022	—	`conf`	FakeRecogna: A New Brazilian Corpus for Fake News Detection. PROPOR Gabriel Lino Garcia, Luis C. S. Afonso, João P. Papa
2022	J	`jnl`	From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. CoRR Mateus Roder, Jurandy Almeida, Gustavo H. de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
2022	—	`conf`	From Network Package Flow to Images: How to Accurately Detect Anomalies in Computer Networks. IWSSIP Paulo R. Galego Hernandes Junior, Rafal Scherer, Lucas B. Januario, Douglas Rodrigues, João P. Papa, Kelton A. P. Costa
2022	J	`jnl`	MaxDropoutV2: An Improved Method to Drop out Neurons in Convolutional Neural Networks. CoRR Claudio Filipi Goncalves dos Santos, Mateus Roder, Leandro A. Passos, João P. Papa
2022	B	`conf`	Mixup-Based Deep Metric Learning Approaches for Incomplete Supervision. ICIP Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria
2022	J	`jnl`	Mixup-based Deep Metric Learning Approaches for Incomplete Supervision. CoRR Luiz H. Buris, Daniel C. G. Pedronette, João P. Papa, Jurandy Almeida, Gustavo Carneiro, Fábio Augusto Faria
2022	J	`jnl`	Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. Expert Syst. J. Knowl. Eng. Gustavo H. de Rosa, Mateus Roder, João P. Papa
2022	—	`conf`	PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. PROPOR Rafael Bezerra de Menezes Rodrigues, Pedro Ivo Monteiro Privatto, Gustavo José de Sousa, Rafael P. Murari, Luis C. S. Afonso, João P. Papa, Daniel C. G. Pedronette, Ivan Rizzo Guilherme, Stephan R. Perrout, Aliel F. Riente
2022	J	`jnl`	Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. CoRR Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa
2022	J	`jnl`	Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. CoRR Daniel F. S. Santos, Rafael Gonçalves Pires, Danilo Colombo, João P. Papa
2022	J	`jnl`	Which Generative Adversarial Network Yields High-Quality Synthetic Medical Images: Investigation Using AMD Image Datasets. CoRR Guilherme C. Oliveira, Gustavo H. Rosa, Daniel C. G. Pedronette, João P. Papa, Himeesh Kumar, Leandro A. Passos, Dinesh Kant Kumar
2021	J	`jnl`	A survey on text generation using generative adversarial networks. Pattern Recognit. Gustavo Henrique de Rosa, João P. Papa
2021	J	`jnl`	Convolutional Neural Networks for the evaluation of cancer in Barrett's esophagus: Explainable AI to lighten up the black-box. Comput. Biol. Medicine Luis Antônio de Souza Júnior, Robert Mendel, Sophia Strasser, Alanna Ebigbo, Andreas Probst, Helmut Messmann, João P. Papa, Christoph Palm
2021	C	`conf`	DDIPNet and DDIPNet+: Discriminant Deep Image Prior Networks for Remote Sensing Image Classification. IGARSS Daniel F. S. Santos, Rafael Goncalves Pires, Leandro A. Passos, João P. Papa
2021	C	`conf`	Deep Regressor Networks for Blind Image Deblurring. IGARSS Rafael Goncalves Pires, Daniel F. S. Santos, Leandro A. Passos, João P. Papa
2021	J	`jnl`	Energy-based Dropout in Restricted Boltzmann Machines: Why not go random. CoRR Mateus Roder, Gustavo Henrique de Rosa, Victor Hugo C. de Albuquerque, André L. D. Rossi, João P. Papa
2021	C	`conf`	Enhancing Hyper-to-Real Space Projections Through Euclidean Norm Meta-heuristic Optimization. CIARP Luiz Carlos Felix Ribeiro, Mateus Roder, Gustavo Henrique de Rosa, Leandro A. Passos, João P. Papa
2021	J	`jnl`	Fast Ensemble Learning Using Adversarially-Generated Restricted Boltzmann Machines. CoRR Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
2021	C	`conf`	Fine-Tuning Dropout Regularization in Energy-Based Deep Learning. CIARP Gustavo Henrique de Rosa, Mateus Roder, João P. Papa
2021	—	`conf`	From Actions to Events: A Transfer Learning Approach Using Improved Deep Belief Networks. SSCI Mateus Roder, Jurandy Almeida, Gustavo Henrique de Rosa, Leandro A. Passos, André L. D. Rossi, João P. Papa
2021	J	`jnl`	Hierarchical Learning Using Deep Optimum-Path Forest. CoRR Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa
2021	—	`conf`	Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. SIBGRAPI Lucas Fernando Alvarenga e Silva, Daniel C. G. Pedronette, Fábio Augusto Faria, João P. Papa, Jurandy Almeida
2021	J	`jnl`	Information Ranking Using Optimum-Path Forest. CoRR Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa
2021	J	`jnl`	Learning Visual Representations with Optimum-Path Forest and its Applications to Barrett's Esophagus and Adenocarcinoma Diagnosis. CoRR Luis Antônio de Souza Júnior, Luis C. S. Afonso, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Robert Mendel, Christoph Palm, João P. Papa
2021	J	`jnl`	O CoRR Leandro Aparecido Passos, Danilo Samuel Jodas, Luiz Carlos Felix Ribeiro, Thierry Pinheiro Moreira, João P. Papa
2021	J	`jnl`	OPFython: A Python implementation for Optimum-Path Forest. Softw. Impacts Gustavo Henrique de Rosa, João P. Papa
2020	J	`jnl`	A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE Trans. Fuzzy Syst. Renato William R. de Souza, João Vitor Chaves de Oliveira, Leandro A. Passos, Weiping Ding, João P. Papa, Victor Hugo C. de Albuquerque
2020	J	`jnl`	A critical literature survey and prospects on tampering and anomaly detection in image data. Appl. Soft Comput. Kelton A. P. da Costa, João P. Papa, Leandro A. Passos, Danilo Colombo, Javier Del Ser, Khan Muhammad, Victor Hugo C. de Albuquerque
2020	J	`jnl`	A nature-inspired feature selection approach based on hypercomplex information. Appl. Soft Comput. Gustavo Henrique de Rosa, João P. Papa, Xin-She Yang
2020	J	`jnl`	Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. Comput. Biol. Medicine Luis Antônio de Souza Júnior, Leandro A. Passos, Robert Mendel, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Christoph Palm, João P. Papa
2020	B	`conf`	Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. ICPR Álvaro R. Ferreira, Gustavo Henrique de Rosa, João P. Papa, Gustavo Carneiro, Fábio Augusto Faria
2020	B	`conf`	Faster α-expansion via dynamic programming and image partitioning. IJCNN Jefferson Fontinele, Marcelo Mendonça, Marco Ruiz, João P. Papa, Luciano Oliveira
2020	J	`jnl`	Hierarchical learning using deep optimum-path forest. J. Vis. Commun. Image Represent. Luis C. S. Afonso, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Alexandre X. Falcão, João P. Papa
2020	—	`conf`	Image Denoising using Attention-Residual Convolutional Neural Networks. SIBGRAPI Rafael Goncalves Pires, Daniel F. S. Santos, Cláudio F. G. Santos, Marcos C. S. Santana, João P. Papa
2020	B	`conf`	Information Ranking Using Optimum-Path Forest. IJCNN Nathalia Q. Ascenção, Luis C. S. Afonso, Danilo Colombo, Luciano Oliveira, João P. Papa
2020	J	`jnl`	Regression-based finite element machines for reliability modeling of downhole safety valves. Reliab. Eng. Syst. Saf. Danilo Colombo, Gilson Brito Alves Lima, Danillo Roberto Pereira, João P. Papa
2020	—	`conf`	Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. SIBGRAPI Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa
2019	J	`jnl`	A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. IEEE Trans. Smart Grid Silas Evandro Nachif Fernandes, Danillo Roberto Pereira, Caio C. O. Ramos, André N. de Souza, Danilo S. Gastaldello, João P. Papa
2019	J	`jnl`	A recurrence plot-based approach for Parkinson's disease identification. Future Gener. Comput. Syst. Luis Claudio Sugi Afonso, Gustavo H. Rosa, Clayton R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa
2019	J	`jnl`	A survey on computer-assisted Parkinson's Disease diagnosis. Artif. Intell. Medicine Clayton R. Pereira, Danilo R. Pereira, Silke A. T. Weber, Christian Hook, Victor Hugo C. de Albuquerque, João P. Papa
2019	J	`jnl`	Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. Neural Comput. Appl. Luís A. M. Pereira, João P. Papa, André L. V. Coelho, Clodoaldo Ap. M. Lima, Danillo Roberto Pereira, Victor Hugo C. de Albuquerque
2019	J	`jnl`	Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks. Comput. Biol. Medicine Luiz Carlos Felix Ribeiro, Luis Claudio Sugi Afonso, João P. Papa
2019	J	`jnl`	Fine-tuning restricted Boltzmann machines using quaternions and its application for spam detection. IET Networks Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Gustavo H. Rosa, Victor Hugo C. de Albuquerque
2019	J	`jnl`	Internet of Things: A survey on machine learning-based intrusion detection approaches. Comput. Networks Kelton A. P. da Costa, João P. Papa, Celso O. Lisboa, Roberto Muñoz, Victor Hugo C. de Albuquerque
2019	B	`conf`	Multiple-Instance Learning through Optimum-Path Forest. IJCNN Luis Claudio Sugi Afonso, Danilo Colombo, Clayton R. Pereira, Kelton A. P. Costa, João P. Papa
2019	J	`jnl`	Opytimizer: A Nature-Inspired Python Optimizer. CoRR Gustavo Henrique de Rosa, João P. Papa
2019	—	`conf`	Video Segmentation Learning Using Cascade Residual Convolutional Neural Network. SIBGRAPI Daniel F. S. Santos, Rafael Goncalves Pires, Danilo Colombo, João P. Papa
2018	J	`jnl`	A fast approach for unsupervised karst feature identification using GPU. Comput. Geosci. Luis Claudio Sugi Afonso, Mateus Basso, Michelle Kuroda, Alexandre Campane Vidal, João P. Papa
2018	J	`jnl`	A survey on Barrett's esophagus analysis using machine learning. Comput. Biol. Medicine Luis Antônio de Souza, Christoph Palm, Robert Mendel, Christian Hook, Alanna Ebigbo, Andreas Probst, Helmut Messmann, Silke A. T. Weber, João P. Papa
2018	J	`jnl`	Computational methods for pigmented skin lesion classification in images: review and future trends. Neural Comput. Appl. Roberta B. Oliveira, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares
2018	B	`conf`	EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm. CEC Zaid Abdi Alkareem Alyasseri, Ahamad Tajudin Khader, Mohammed Azmi Al-Betar, João P. Papa, Osama Ahmad Alomari
2018	C	`conf`	Environmental Monitoring Using Drone Images and Convolutional Neural Networks. IGARSS Rogério Thomazella, José E. C. Castanho, Fébio R. L. Dotto, Oswaldo Pons Rodrigues Júnior, Gustavo Henrique Rosa, Aparecido Nilceu Marana, João P. Papa
2018	J	`jnl`	Feature selection through binary brain storm optimization. Comput. Electr. Eng. João P. Papa, Gustavo H. Rosa, André N. de Souza, Luis Claudio Sugi Afonso
2018	Misc	`conf`	Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. SACI Leandro A. Passos, Douglas Rodrigues, João P. Papa
2018	J	`jnl`	Handling dropout probability estimation in convolution neural networks using meta-heuristics. Soft Comput. Gustavo H. Rosa, João P. Papa, Xin-She Yang
2018	J	`jnl`	Handwritten dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. Artif. Intell. Medicine Clayton R. Pereira, Danilo R. Pereira, Gustavo H. Rosa, Victor Hugo C. de Albuquerque, Silke A. T. Weber, Christian Hook, João P. Papa
2018	J	`jnl`	How far did we get in face spoofing detection? Eng. Appl. Artif. Intell. Luiz Souza, Luciano Oliveira, Mauricio Pamplona, João P. Papa
2018	J	`jnl`	Introduction to the special section on Image and Video Processing. Comput. Electr. Eng. Eduardo Cabal-Yepez, Guillermo Botella, Amir Hooshang Mazinan, João P. Papa
2018	C	`conf`	Land-Use Classification using Finite Element Machines. IGARSS Danillo Roberto Pereira, João P. Papa, Luciene P. Papa, Rodrigo Jose Pisani
2018	J	`jnl`	Multi-label semi-supervised classification through optimum-path forest. Inf. Sci. Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa
2018	Misc	`conf`	Parkinson Disease Identification Using Residual Networks and Optimum-Path Forest. SACI Leandro A. Passos, Clayton R. Pereira, Edmar R. S. Rezende, Tiago J. Carvalho, Silke A. T. Weber, Christian Hook, João P. Papa
2018	B	`conf`	Pattern Analysis in Drilling Reports using Optimum-Path Forest. IJCNN Gustavo José de Sousa, Daniel Carlos Guimarães Pedronette, Alexandro Baldassin, Pedro Ivo Monteiro Privatto, M. Gaseta, Ivan Rizzo Guilherme, Danilo Colombo, Luis Claudio Sugi Afonso, João P. Papa
2018	J	`jnl`	Robust automated cardiac arrhythmia detection in ECG beat signals. Neural Comput. Appl. Victor Hugo C. de Albuquerque, Thiago M. Nunes, Danillo Roberto Pereira, Eduardo José da S. Luz, David Menotti, João P. Papa, João Manuel R. S. Tavares
2017	C	`conf`	A Kernel-Based Optimum-Path Forest Classifier. CIARP Luis Claudio Sugi Afonso, Danillo Roberto Pereira, João P. Papa
2017	J	`jnl`	An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Danillo Roberto Pereira, Rodrigo Jose Pisani, André N. de Souza, João P. Papa
2017	—	`conf`	An ensemble-based approach for breast mass classification in mammography images. Computer-Aided Diagnosis Patricia B. Ribeiro, João P. Papa, Roseli A. F. Romero
2017	—	`conf`	Deep Boltzmann Machines Using Adaptive Temperatures. CAIP (1) Leandro A. Passos Junior, Kelton A. P. Costa, João P. Papa
2017	C	`conf`	Efficient Transfer Learning for Robust Face Spoofing Detection. CIARP Gustavo Botelho de Souza, Daniel F. S. Santos, Rafael Goncalves Pires, Aparecido Nilceu Marana, João P. Papa
2017	J	`jnl`	Embedded real-time speed limit sign recognition using image processing and machine learning techniques. Neural Comput. Appl. Samuel Luz Gomes, Elizângela de S. Rebouças, Edson Cavalcanti Neto, João P. Papa, Victor Hugo C. de Albuquerque, Pedro Pedrosa Rebouças Filho, João Manuel R. S. Tavares
2017	B	`conf`	FEMaR: A finite element machine for regression problems. IJCNN Danillo Roberto Pereira, João P. Papa, André N. de Souza
2017	J	`jnl`	How far did we get in face spoofing detection? CoRR Luiz Souza, Mauricio Pamplona, Luciano Oliveira, João P. Papa
2017	J	`jnl`	Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. Expert Syst. J. Knowl. Eng. Douglas Rodrigues, João P. Papa, Hojjat Adeli
2017	—	`conf`	Quaternionic Flower Pollination Algorithm. CAIP (2) Gustavo H. Rosa, Luis Claudio Sugi Afonso, Alexandro Baldassin, João P. Papa, Xin-She Yang
2016	J	`jnl`	A new computer vision-based approach to aid the diagnosis of Parkinson's disease. Comput. Methods Programs Biomed. Clayton R. Pereira, Danillo Roberto Pereira, Francisco A. da Silva, João P. Masieiro, Silke A. T. Weber, Christian Hook, João P. Papa
2016	J	`jnl`	Computational methods for the image segmentation of pigmented skin lesions: A review. Comput. Methods Programs Biomed. Roberta B. Oliveira, Mercedes E. Filho, Zhen Ma, João P. Papa, Aledir Silveira Pereira, João Manuel R. S. Tavares
2016	J	`jnl`	EEG-based person identification through Binary Flower Pollination Algorithm. Expert Syst. Appl. Douglas Rodrigues, Gabriel F. A. Silva, João P. Papa, Aparecido Nilceu Marana, Xin-She Yang
2016	J	`jnl`	Improving semi-supervised learning through optimum connectivity. Pattern Recognit. Willian Paraguassu Amorim, Alexandre X. Falcão, João P. Papa, Marcelo Henriques de Carvalho
2016	—	`conf`	On the Evaluation of Tensor-Based Representations for Optimum-Path Forest Classification. ANNPR Ricardo R. Lopes, Kelton A. P. Costa, João P. Papa
2016	—	`conf`	On the Harmony Search Using Quaternions. ANNPR João P. Papa, Danillo Roberto Pereira, Alexandro Baldassin, Xin-She Yang
2016	J	`jnl`	Projections onto convex sets parameter estimation through harmony search and its application for image restoration. Nat. Comput. Rafael Goncalves Pires, Danillo Roberto Pereira, Luís A. M. Pereira, Alex F. Mansano, João P. Papa
2016	J	`jnl`	Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. Comput. Electr. Eng. Danillo Roberto Pereira, Mario A. Pazoti, Luís A. M. Pereira, Douglas Rodrigues, Caio C. O. Ramos, André N. de Souza, João P. Papa
2015	J	`jnl`	A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks. Inf. Sci. Kelton A. P. Costa, Luís A. M. Pereira, Rodrigo Y. M. Nakamura, Clayton R. Pereira, João P. Papa, Alexandre Xavier Falcão
2015	—	`conf`	On the Model Selection of Bernoulli Restricted Boltzmann Machines Through Harmony Search. GECCO (Companion) João P. Papa, Gustavo Henrique Rosa, Kelton A. P. Costa, Nilceu A. Marana, Walter J. Scheirer, David Daniel Cox
2015	J	`jnl`	Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy. Sensors Victor Hugo C. de Albuquerque, Cleisson V. Barbosa, Cleiton C. Silva, Elineudo P. de Moura, Pedro Pedrosa Rebouças Filho, João P. Papa, João Manuel R. S. Tavares
2015	B	`conf`	Unsupervised Breast Masses Classification through Optimum-Path Forest. CBMS Patricia B. Ribeiro, Leandro A. Passos Junior, Luis Alexandre da Silva, Kelton A. P. da Costa, João P. Papa, Roseli A. F. Romero
2014	J	`jnl`	EEG signal classification for epilepsy diagnosis via optimum path forest - A systematic assessment. Neurocomputing Thiago M. Nunes, André L. V. Coelho, Clodoaldo Ap. M. Lima, João P. Papa, Victor Hugo C. de Albuquerque
2014	—	`conf`	Fast Optimum-Path Forest Classification on Graphics Processors. VISAPP (2) Marcos V. T. Romero, Adriana S. Iwashita, Luciene P. Papa, André N. de Souza, João P. Papa
2014	J	`jnl`	Nature-Inspired Framework for Hyperspectral Band Selection. IEEE Trans. Geosci. Remote. Sens. Rodrigo Y. M. Nakamura, Leila Maria Garcia Fonseca, Jefersson Alex dos Santos, Ricardo da Silva Torres, Xin-She Yang, João P. Papa
2014	C	`conf`	On the Influence of Markovian Models for Contextual-Based Optimum-Path Forest Classification. CIARP Daniel Osaku, Alexandre L. M. Levada, João P. Papa
2014	C	`conf`	Static Video Summarization through Optimum-Path Forest Clustering. CIARP Guilherme Brandão Martins, Luis Claudio Sugi Afonso, Daniel Osaku, Jurandy Almeida, João P. Papa
2014	—	`conf`	Training Optimum-Path Forest on Graphics Processing Units. VISAPP (2) Adriana S. Iwashita, Marcos V. T. Romero, Alexandro Baldassin, Kelton A. P. Costa, João P. Papa
2013	C	`conf`	A hybrid image restoration algorithm based on Projections Onto Convex Sets and Harmony Search. ISCAS Rafael Goncalves Pires, Luís A. M. Pereira, Alex F. Mansano, João P. Papa
2013	J	`jnl`	Automatic Segmentation and Classification of Human Intestinal Parasites From Microscopy Images. IEEE Trans. Biomed. Eng. Celso T. N. Suzuki, Jancarlo F. Gomes, Alexandre X. Falcão, João P. Papa, Sumie Hoshino-Shimizu
2013	J	`jnl`	Automatic microstructural characterization and classification using artificial intelligence techniques on ultrasound signals. Expert Syst. Appl. Thiago M. Nunes, Victor Hugo C. de Albuquerque, João P. Papa, Cleiton C. Silva, Paulo G. Normando, Elineudo P. de Moura, João Manuel R. S. Tavares
2013	J	`jnl`	Computer techniques towards the automatic characterization of graphite particles in metallographic images of industrial materials. Expert Syst. Appl. João P. Papa, Rodrigo Y. M. Nakamura, Victor Hugo C. de Albuquerque, Alexandre X. Falcão, João Manuel R. S. Tavares
2013	J	`jnl`	ECG arrhythmia classification based on optimum-path forest. Expert Syst. Appl. Eduardo José da S. Luz, Thiago M. Nunes, Victor Hugo C. de Albuquerque, João P. Papa, David Menotti
2013	—	`conf`	Optimizing Feature Selection through Binary Charged System Search. CAIP (1) Douglas Rodrigues, Luís A. M. Pereira, João P. Papa, Caio C. O. Ramos, André N. de Souza, Luciene P. Papa
2012	B	`conf`	A fast large scale iris database classification with Optimum-Path Forest technique: A case study. IJCNN Luis Claudio Sugi Afonso, João P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich
2012	J	`jnl`	An Optimum-Path Forest framework for intrusion detection in computer networks. Eng. Appl. Artif. Intell. Clayton R. Pereira, Rodrigo Y. M. Nakamura, Kelton A. P. Costa, João P. Papa
2012	C	`conf`	Automatic landslide recognition through Optimum-Path Forest. IGARSS Rodrigo Pisani, Paulina Riedel, Kelton A. P. Costa, Rodrigo Nakamura, Clayton R. Pereira, Gustavo H. Rosa, João P. Papa
2012	—	`conf`	BBA: A Binary Bat Algorithm for Feature Selection. SIBGRAPI Rodrigo Y. M. Nakamura, Luís A. M. Pereira, Kelton A. P. Costa, Douglas Rodrigues, João P. Papa, Xin-She Yang
2012	J	`jnl`	Efficient Fault Location in Underground Distribution Systems through Optimum-Path Forest. Appl. Artif. Intell. André N. de Souza, Pedro da Costa Jr., Paulo S. da Silva, Caio C. O. Ramos, João P. Papa
2012	J	`jnl`	Efficient supervised optimum-path forest classification for large datasets. Pattern Recognit. João P. Papa, Alexandre X. Falcão, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
2012	—	`conf`	Improving Image Classification through Descriptor Combination. SIBGRAPI Alex F. Mansano, J. A. Matsuoka, Luis Claudio Sugi Afonso, João P. Papa, Fábio Augusto Faria, Ricardo da Silva Torres
2012	—	`conf`	Optimum-Path Forest Classifier for Large Scale Biometric Applications. EST Luis Claudio Sugi Afonso, João P. Papa, Aparecido Nilceu Marana, Ahmad Poursaberi, Svetlana N. Yanushkevich, Marina L. Gavrilova
2012	B	`conf`	Speeding up optimum-path forest training by path-cost propagation. ICPR Adriana S. Iwashita, João P. Papa, Alexandre X. Falcão, Roberto A. Lotufo, Victor M. de Araujo Oliveira, Victor Hugo C. de Albuquerque, João Manuel R. S. Tavares
2011	J	`jnl`	A novel algorithm for feature selection using Harmony Search and its application for non-technical losses detection. Comput. Electr. Eng. Caio C. O. Ramos, André N. de Souza, Giovani Chiachia, Alexandre X. Falcão, João P. Papa
2011	—	`conf`	Automatic classification of fish germ cells through optimum-path forest. EMBC João P. Papa, Mario E. M. Gutierrez, Rodrigo Y. M. Nakamura, Luciene P. Papa, Irene B. F. Vicentini, Carlos A. Vicentini
2011	—	`conf`	Improving Accuracy and Speed of Optimum-Path Forest Classifier Using Combination of Disjoint Training Subsets. MCS Moacir P. Ponti Jr., João P. Papa
2011	—	`conf`	Improving Parkinson's disease identification through evolutionary-based feature selection. EMBC André Augusto Spadoto, Rodrigo Capobianco Guido, Felipe L. Carnevali, Andre F. Pagnin, Alexandre X. Falcão, João P. Papa
2011	C	`conf`	Is it possible to make pixel-based radar image classification user-friendly? IGARSS Rodrigo Pisani, Paulina Riedel, Alessandra Rodrigues Gomes, Rodrigo Yuji Mizobe, João P. Papa
2011	C	`conf`	Land use image classification through Optimum-Path Forest Clustering. IGARSS Rodrigo Pisani, Paulina Riedel, Mateus Ferreira, Mara Marques, Rodrigo Mizobe, João P. Papa
2011	—	`conf`	New Trends in Musical Genre Classification Using Optimum-Path Forest. ISMIR Caio Miguel Marques, Ivan Rizzo Guilherme, Rodrigo Y. M. Nakamura, João P. Papa
2011	C	`conf`	Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques. IWCIA João P. Papa, Clayton R. Pereira, Victor Hugo C. de Albuquerque, Cleiton C. Silva, Alexandre X. Falcão, João Manuel R. S. Tavares
2010	J	`jnl`	Fast Petroleum Well Drilling Monitoring Through Optimum-Path Forest. J. Next Gener. Inf. Technol. Ivan Rizzo Guilherme, Aparecido Nilceu Marana, João P. Papa, Giovani Chiachia, Alexandre X. Falcão, Kazuo Miura, Marcus V. D. Ferreira, Francisco Torres
2010	B	`conf`	Optimizing Optimum-Path Forest Classification for Huge Datasets. ICPR João P. Papa, Fabio A. M. Cappabianco, Alexandre X. Falcão
2010	J	`jnl`	Projections Onto Convex Sets through Particle Swarm Optimization and its application for remote sensing image restoration. Pattern Recognit. Lett. João P. Papa, Leila Maria Garcia Fonseca, Lino Augusto Sander de Carvalho
2010	J	`jnl`	Spoken emotion recognition through optimum-path forest classification using glottal features. Comput. Speech Lang. Alexander I. Iliev, Michael S. Scordilis, João P. Papa, Alexandre X. Falcão
2009	—	`conf`	A Learning Algorithm for the Optimum-Path Forest Classifier. GbRPR João P. Papa, Alexandre X. Falcão
2009	J	`jnl`	A genetic programming framework for content-based image retrieval. Pattern Recognit. Ricardo da Silva Torres, Alexandre X. Falcão, Marcos André Gonçalves, João P. Papa, Baoping Zhang, Weiguo Fan, Edward A. Fox
2009	—	`conf`	Fast and accurate holistic face recognition using Optimum-Path Forest. DPS João P. Papa, Alexandre X. Falcão, Alexandre L. M. Levada, Débora C. Corrêa, Denis H. P. Salvadeo, Nelson D. A. Mascarenhas
2009	C	`conf`	Novel Approaches for Exclusive and Continuous Fingerprint Classification. PSIVT Javier A. Montoya-Zegarra, João P. Papa, Neucimar Jerônimo Leite, Ricardo da Silva Torres, Alexandre X. Falcão
2009	Misc	`conf`	On the Training Patterns Pruning for Optimum-Path Forest. ICIAP João P. Papa, Alexandre X. Falcão
2009	J	`jnl`	Supervised pattern classification based on optimum-path forest. Int. J. Imaging Syst. Technol. João P. Papa, Alexandre X. Falcão, Celso T. N. Suzuki
2008	C	`conf`	A Discrete Approach for Supervised Pattern Recognition. IWCIA João P. Papa, Alexandre X. Falcão, Celso T. N. Suzuki, Nelson D. A. Mascarenhas
2008	—	`conf`	A New Variant of the Optimum-Path Forest Classifier. ISVC (1) João P. Papa, Alexandre X. Falcão
2007	—	`conf`	Design of robust pattern classifiers based on optimum-path forests. ISMM (1) João P. Papa, Alexandre X. Falcão, Paulo A. V. Miranda, Celso T. N. Suzuki, Nelson D. A. Mascarenhas
2007	—	`conf`	Rotation-Invariant Texture Recognition. ISVC (2) Javier A. Montoya-Zegarra, João P. Papa, Neucimar Jerônimo Leite, Ricardo da Silva Torres, Alexandre X. Falcão