Sobre a otimização de parâmetros em técnicas de aprendizado de máquina: avanços e paradigmas

• Processo: 14/16250-9
• Modalidade de apoio: Auxílio à Pesquisa - Regular
• Data de Início da vigência: 01 de março de 2015
• Data de Término da vigência: 31 de agosto de 2017
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação - Metodologia e Técnicas da Computação
• Pesquisador responsável: João Paulo Papa
• Beneficiário: João Paulo Papa
• Instituição Sede: Faculdade de Ciências (FC). Universidade Estadual Paulista (UNESP). Campus de Bauru. Bauru , SP, Brasil
• Pesquisadores associados: André Carlos Ponce de Leon Ferreira de Carvalho ; André Fujita ; Xin-She Yang
• Auxílio(s) vinculado(s): 16/50448-6 - Where do machine learning and optimization meet?, AP.R SPRINT; 16/50022-9 - Development of cardiovascular disease and diabetes risk assessment model for ethnically diverse populations, AP.R SPRINT
• Assunto(s): Redes neurais (computação) Aprendizado computacional Reconhecimento de padrões Meta-heurística Algoritmos
• Palavra(s)-Chave do Pesquisador: Aprendizado de Máquina | otimização evolucionista | Reconhecimento de padrões

Resumo

Técnicas de aprendizado de máquina tem sido bastante empregadas nos últimos anos em diversas área de pesquisa. Embora sejam conhecidas pelo seu alto poder de generalização, muitas dessas técnicas são paramétricas, o que resulta em um alto custo computacional para o aprendizado desse conjunto de parâmetros, tornando seu emprego inviável em aplicações que envolvem grandes bases de dados e situações onde a resposta ao usuário deve ser dada em tempo real. O presente projeto de pesquisa visa o estudo de técnicas de otimização por meta-heurísticas mono e multi-objetivos e suas aplicações para otimização de arquiteturas de aprendizado de máquina, tais como seleção de modelos e funções de núcleo (kernels), seleção de características e fusão de informações, dentre outras aplicações. A proposta objetiva também investigar a viabilidade da otimização de parâmetros em arquiteturas de aprendizado em profundidade com vistas à sua eficiência e eficácia, principalmente em Redes Neurais por Convolução, Máquinas de Boltzmann Restritas, Redes de Crença por Profundidade e Auto-codificadores. Este projeto focará, principalmente, em abordagens de otimização multi-objetivos, dado que muito pouco trabalho nessa área tem sido realizado com vistas ao aprendizado de parâmetros em abordagens de reconhecimento de padrões, por exemplo. A proposta também conta com a presença do Prof. Dr. Xin-She Yang (Middlesex University, Inglatera), o qual é um pesquisador bastante ativo na área de otimização por meta-heurísticas, sendo que os novos algoritmos recentemente desenvolvidos por ele serão utilizados e validados pela presente proposta de projeto de pesquisa. (AU)

Publicações científicas

(65)

(Referências obtidas automaticamente do Web of Science e do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores)

PIRES, RAFAEL G.; PEREIRA, DANILLO R.; PEREIRA, LUIS A. M.; MANSANO, ALEX F.; PAPA, JOO P.. Projections onto convex sets parameter estimation through harmony search and its application for image restoration. NATURAL COMPUTING, v. 15, n. 3, SI, p. 493-502, SEP 2016. (14/16250-9, 09/16206-1, 11/14094-1, 13/20387-7)

PEREIRA, DANILLO ROBERTO; PAPA, JOAO PAULO. A new approach to contextual learning using interval arithmetic and its applications for land-use classification. PATTERN RECOGNITION LETTERS, v. 83, n. 2, p. 188-194, NOV 1 2016. (15/50319-9, 14/16250-9)

PAPA, JOAO P.; ROSA, GUSTAVO H.; MARANA, APARECIDO N.; SCHEIRER, WALTER; COX, DAVID D.. Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques. JOURNAL OF COMPUTATIONAL SCIENCE, v. 9, n. SI, p. 14-18, JUL 2015. (14/16250-9, 13/20387-7)

PEREIRA, DANILLO R.; DELPIANO, JOSE; PAPA, JOAO P.. On the optical flow model selection through metaheuristics. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, MAY 9 2015. (14/16250-9, 13/20387-7)

PAPA, JOAO PAULO; NACHIF FERNANDES, SILAS EVANDRO; FALCAO, ALEXANDRE XAVIER. Optimum-Path Forest based on k-connectivity: Theory and applications. PATTERN RECOGNITION LETTERS, v. 87, n. SI, p. 117-126, FEB 1 2017. (14/16250-9, 09/16206-1, 13/20387-7)

AMORIM, WILLIAN P.; FALCAO, ALEXANDRE X.; PAPA, JOAO P.; CARVALHO, MARCELO H.. Improving semi-supervised learning through optimum connectivity. PATTERN RECOGNITION, v. 60, p. 72-85, DEC 2016. (14/16250-9, 13/20387-7)

RODRIGUES, DOUGLAS; SILVA, GABRIEL F. A.; PAPA, JOAO P.; MARANA, APARECIDO N.; YANG, XIN-SHE. EEG-based person identification through Binary Flower Pollination Algorithm. EXPERT SYSTEMS WITH APPLICATIONS, v. 62, p. 81-90, NOV 15 2016. (14/16250-9)

TURESSON, HJALMAR K.; RIBEIRO, SIDARTA; PEREIRA, DANILLO R.; PAPA, JOAO P.; DE ALBUQUERQUE, VICTOR HUGO C.. Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations. PLoS One, v. 11, n. 9, SEP 21 2016. (14/16250-9, 13/07699-0, 15/50319-9)

DE ALBUQUERQUE, VICTOR HUGO C.; NUNES, THIAGO M.; PEREIRA, DANILLO R.; LUZ, EDUARDO JOSE DA S.; MENOTTI, DAVID; PAPA, JOAO P.; TAVARES, JOAO MANUEL R. S.. Robust automated cardiac arrhythmia detection in ECG beat signals. NEURAL COMPUTING & APPLICATIONS, v. 29, n. 3, p. 679-693, FEB 2018. (14/16250-9)

PEREIRA, DANILLO R.; PAZOTI, MARIO A.; PEREIRA, LUIS A. M.; RODRIGUES, DOUGLAS; RAMOS, CAIO O.; SOUZA, ANDRE N.; PAPA, JOAO P.. Social-Spider Optimization-based Support Vector Machines applied for energy theft detection. COMPUTERS & ELECTRICAL ENGINEERING, v. 49, p. 25-38, JAN 2016. (14/16250-9, 12/06472-9, 13/20387-7)

PEREIRA, CLAYTON R.; PEREIRA, DANILO R.; SILVA, FRANCISCO A.; MASIEIRO, JOAO P.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; PAPA, JOAO P.. A new computer vision-based approach to aid the diagnosis of Parkinson's disease. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 136, p. 79+, NOV 2016. (13/20387-7, 14/16250-9, 09/16206-1)

PASSOS JUNIOR, LEANDRO APARECIDO; OBA RAMOS, CAIO CESAR; RODRIGUES, DOUGLAS; PEREIRA, DANILLO ROBERTO; DE SOUZA, ANDRE NUNES; PONTARA DA COSTA, KELTON AUGUSTO; PAPA, JOAO PAULO. Unsupervised non-technical losses identification through optimum-path forest. Electric Power Systems Research, v. 140, p. 413-423, NOV 2016. (12/14158-2, 09/16206-1, 13/20387-7, 15/00801-9, 14/16250-9)

PAPA, JOAO PAULO; SCHEIRER, WALTER; COX, DAVID DANIEL. Fine-tuning Deep Belief Networks using Harmony Search. APPLIED SOFT COMPUTING, v. 46, p. 875-885, SEP 2016. (13/20387-7, 14/16250-9)

OSAKU, D.; NAKAMURA, R. Y. M.; PEREIRA, L. A. M.; PISANI, R. J.; LEVADA, A. L. M.; CAPPABIANCO, F. A. M.; FALCO, A. X.; PAPA, JOAO P.. Improving land cover classification through contextual-based optimum-path forest. INFORMATION SCIENCES, v. 324, p. 60-87, DEC 10 2015. (14/16250-9, 09/16206-1, 12/06472-9, 13/20387-7)

FERNANDES, SILAS E. N.; PEREIRA, DANILLO R.; RAMOS, CAIO C. O.; SOUZA, ANDRE N.; GASTALDELLO, DANILO S.; PAPA, JOAO P.. A Probabilistic Optimum-Path Forest Classifier for Non-Technical Losses Detection. IEEE TRANSACTIONS ON SMART GRID, v. 10, n. 3, p. 3226-3235, MAY 2019. (13/07375-0, 14/16250-9, 17/02286-0, 16/19403-6, 14/12236-1)

PASSOS, JR., LEANDRO APARECIDO; PAPA, JOAO PAULO. Temperature-Based Deep Boltzmann Machines. NEURAL PROCESSING LETTERS, v. 48, n. 1, p. 95-107, AUG 2018. (14/16250-9, 14/12236-1, 16/19403-6)

OSAKU, DANIEL; PEREIRA, DANILLO R.; LEVADA, ALEXANDRE L. M.; PAPA, JOAO P.. Fine-Tuning Contextual-Based Optimum-Path Forest for Land-Cover Classification. IEEE Geoscience and Remote Sensing Letters, v. 13, n. 5, p. 735-739, MAY 2016. (14/16250-9, 12/06472-9, 13/20387-7)

GUIMARAES, RANIERE ROCHA; PASSOS JR, LEANDRO A.; HOLANDA FILHO, RAIMIR; DE ALBUQUERQUE, VICTOR HUGO C.; RODRIGUES, JOEL J. P. C.; KOMAROV, MIKHAIL M.; PAPA, JOAO PAULO. Intelligent Network Security Monitoring Based on Optimum-Path Forest Clustering. IEEE NETWORK, v. 33, n. 2, p. 126-131, MAR-APR 2019. (13/07375-0, 14/16250-9, 14/12236-1, 16/19403-6)

PAPA, JOAO PAULO; ROSA, GUSTAVO HENRIQUE; PAPA, LUCIENE PATRICI. A binary-constrained Geometric Semantic Genetic Programming for feature selection purposes. PATTERN RECOGNITION LETTERS, v. 100, p. 59-66, DEC 1 2017. (13/07375-0, 14/16250-9, 16/19403-6, 10/15566-1, 14/12236-1, 15/25739-4)

PASSOS, LEANDRO A.; DE SOUZA, JR., LUIS A.; MENDEL, ROBERT; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; PALM, CHRISTOPH; PAPA, JOAO PAULO. Barrett's esophagus analysis using infinity Restricted Boltzmann Machines. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 59, p. 475-485, FEB 2019. (14/16250-9, 14/12236-1, 13/07375-0, 15/25739-4, 16/21243-7)

PEREIRA, DANILLO R.; PISANI, RODRIGO J.; DE SOUZA, ANDRE N.; PAPA, JOAO P.. An Ensemble-Based Stacked Sequential Learning Algorithm for Remote Sensing Imagery Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 10, n. 4, p. 1525-1541, APR 2017. (14/16250-9, 13/20387-7, 14/12236-1)

AFONSO, LUIS; VIDAL, ALEXANDRE; KURODA, MICHELLE; FALCAO, ALEXANDRE; PAPA, JOAO; IEEE. Learning to Classify Seismic Images with Deep Optimum-Path Forest. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 7-pg., 2016-01-01. (14/16250-9)

PIRES, RAFAEL G.; SANTOS, DANIEL S.; SOUZA, GUSTAVO B.; LEVADA, ALEXANDRE L. M.; PAPA, JOAO PAULO; TETKO, IV; KURKOVA, V; KARPOV, P; THEIS, F. A Sparse Filtering-Based Approach for Non-blind Deep Image Denoising. ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING - ICANN 2019: WORKSHOP AND SPECIAL SESSIONS, v. 11731, p. 12-pg., 2019-01-01. (14/16250-9, 14/12236-1, 16/19403-6, 18/21934-5)

RODRIGUES, DOUGLAS; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. A multi-objective artificial butterfly optimization approach for feature selection. APPLIED SOFT COMPUTING, v. 94, SEP 2020. (14/12236-1, 14/16250-9, 17/02286-0, 16/19403-6)

PISANI, R.; COSTA, K.; ROSA, G.; PEREIRA, D.; PAPA, J.; TAVARES, J. M. R. S.; IEEE. RIVER SEDIMENT YIELD CLASSIFICATION USING REMOTE SENSING IMAGERY. 2016 9TH IAPR WORKSHOP ON PATTERN RECOGNITION IN REMOTE SENSING (PRRS), v. N/A, p. 6-pg., 2016-01-01. (14/16250-9, 15/00801-9, 15/25739-4)

PEREIRA, DANILLO ROBERTO; PAPA, JOAO PAULO. A new approach to contextual learning using interval arithmetic and its applications for land-use classification. PATTERN RECOGNITION LETTERS, v. 83, p. 7-pg., 2016-11-01. (14/16250-9, 15/50319-9)

MARTINS, GUILHERME B.; PAPA, JOAO P.; ALMEIDA, JURANDY; IEEE. Temporal-and Spatial-Driven Video Summarization Using Optimum-Path Forest. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 5-pg., 2016-01-01. (14/16250-9, 15/50319-9)

SUGI AFONSO, LUIS CLAUDIO; PASSOS, LEANDRO, JR.; PAPA, JOAO PAULO; IEEE. Enhancing Brain Storm Optimization Through Optimum-Path Forest. 2018 IEEE 12TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI), v. N/A, p. 6-pg., 2018-01-01. (13/07375-0, 14/12236-1, 14/16250-9, 16/06441-7)

REBOUCAS FILHO, PEDRO P.; DA SILVA BARROS, ANTONIO C.; RAMALHO, GERALDO L. B.; PEREIRA, CLAYTON R.; PAPA, JOAO PAULO; DE ALBUQUERQUE, VICTOR HUGO C.; TAVARES, JOAO MANUEL R. S.. Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. NEURAL COMPUTING & APPLICATIONS, v. 31, p. 14-pg., 2019-02-01. (14/12236-1, 14/16250-9)

FELIX RIBEIRO, LUIZ CARLOS; PAPA, JOAO PAULO; IEEE. Unsupervised Dialogue Act Classification with Optimum-Path Forest. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2018-01-01. (13/07375-0, 14/12236-1, 14/16250-9, 16/19403-6)

PAPA, JOAO P.; ROSA, GUSTAVO H.; MARANA, APARECIDO N.; SCHEIRER, WALTER; COX, DAVID D.. Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques. JOURNAL OF COMPUTATIONAL SCIENCE, v. 9, p. 5-pg., 2015-07-01. (14/16250-9, 13/20387-7)

PEREIRA, CLAYTON R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; ROSA, GUSTAVO H.; PAPA, JOAO; IEEE. Deep Learning-aided Parkinson's Disease Diagnosis from Handwritten Dynamics. 2016 29TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 7-pg., 2016-01-01. (15/25739-4, 14/16250-9, 10/15566-1)

NACHIF FERNANDES, SILAS EVANDRO; PAPA, JOAO PAULO; IEEE. Pruning Optimum-Path Forest Ensembles Using Quaternion-based Optimization. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., 2017-01-01. (14/16250-9, 14/12236-1)

PASSOS, LEANDRO APARECIDO; RODRIGUES, DOUGLAS; PAPA, JOAO PAULO; IEEE. Quaternion-Based Backtracking Search Optimization Algorithm. 2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), v. N/A, p. 8-pg., 2019-01-01. (14/16250-9, 13/07375-0, 14/12236-1, 16/06441-7)

PEREIRA, DANILLO R.; DELPIANO, JOSE; PAPA, JOAO P.. On the optical flow model selection through metaheuristics. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, v. N/A, p. 10-pg., 2015-05-09. (14/16250-9, 13/20387-7)

REBOUCAS FILHO, PEDRO P.; DA SILVA BARROS, ANTONIO C.; RAMALHO, GERALDO L. B.; PEREIRA, CLAYTON R.; PAPA, JOAO PAULO; DE ALBUQUERQUE, VICTOR HUGO C.; TAVARES, JOAO MANUEL R. S.. Automated recognition of lung diseases in CT images based on the optimum-path forest classifier. NEURAL COMPUTING & APPLICATIONS, v. 31, n. 2, p. 901-914, FEB 2019. (14/16250-9, 14/12236-1)

PEREIRA, LUIS A. M.; PAPA, JOAO P.; COELHO, ANDRE L. V.; LIMA, CLODOALDO A. M.; PEREIRA, DANILLO R.; DE ALBUQUERQUE, VICTOR HUGO C.. Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. NEURAL COMPUTING & APPLICATIONS, v. 31, n. 2, p. 1317-1329, FEB 2019. (14/16250-9, 09/16206-1, 11/14094-1)

DE ROSA, GUSTAVO H.; PAPA, JOAO P.; YANG, XIN-S. Handling dropout probability estimation in convolution neural networks using meta-heuristics. SOFT COMPUTING, v. 22, n. 18, SI, p. 6147-6156, SEP 2018. (14/12236-1, 14/16250-9, 15/25739-4)

IWASHITA, ADRIANA SAYURI; PAPA, JOAO PAULO. An Overview on Concepts Drift Learning. IEEE ACCESS, v. 7, p. 1532-1547, 2019. (14/16250-9, 14/12236-1, 13/07375-0, 16/19403-6)

NACHIF FERNANDES, SILAS EVANDRO; DE SOUZA, ANDRE NUNES; GASTALDELLO, DANILO SINKITI; PEREIRA, DANILLO ROBERTO; PAPA, JOAO PAULO. Pruning optimum-path forest ensembles using metaheuristic optimization for land-cover classification. International Journal of Remote Sensing, v. 38, n. 20, p. 5736-5762, 2017. (14/16250-9, 14/12236-1)

SAITO, PRISCILA T. M.; NAKAMURA, RODRIGO Y. M.; AMORIM, WILLIAN P.; PAPA, JOAO P.; DE REZENDE, PEDRO J.; FALCAO, ALEXANDRE X.. Choosing the Most Effective Pattern Classification Model under Learning-Time Constraint. PLoS One, v. 10, n. 6, JUN 26 2015. (14/16250-9, 11/14058-5, 13/20387-7, 07/52015-0, 12/18768-0)

AMORIM, WILLIAN P.; FALCAO, ALEXANDRE X.; PAPA, JOAO P.. Multi-label semi-supervised classification through optimum-path forest. INFORMATION SCIENCES, v. 465, p. 86-104, OCT 2018. (14/16250-9, 14/12236-1, 13/20387-7)

PEREIRA, DANILLO ROBERTO; PAPA, JOAO PAULO; ROSALIN SARAIVA, GUSTAVO FRANCISCO; SOUZA, GUSTAVO MAIA. Automatic classification of plant electrophysiological responses to environmental stimuli using machine learning and interval arithmetic. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 145, p. 35-42, FEB 2018. (14/12236-1, 13/07375-0, 16/19403-6, 14/16250-9)

SOUZA, GUSTAVO B.; SANTOS, DANIEL F. S.; PIRES, RAFAEL G.; MARANA, APARECIDO N.; PAPA, JOAO P.; IEEE. Deep Boltzmann Machines for Robust Fingerprint Spoofing Attack Detection. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., 2017-01-01. (13/07375-0, 14/16250-9, 14/12236-1)

MANSANO, A. F.; HRUSHCKA, E. R., JR.; PAPA, J. P.; TAVARES, JMRS; JORGE, RMN. Co-reference Analysis Through Descriptor Combination. VIPIMAGE 2017, v. 27, p. 10-pg., 2018-01-01. (14/16250-9, 14/12236-1, 13/07375-0)

PIRES, RAFAEL G.; PEREIRA, DANILLO R.; PEREIRA, LUIS A. M.; MANSANO, ALEX F.; PAPA, JOO P.. Projections onto convex sets parameter estimation through harmony search and its application for image restoration. NATURAL COMPUTING, v. 15, n. 3, p. 10-pg., 2016-09-01. (11/14094-1, 09/16206-1, 13/20387-7, 14/16250-9)

PEREIRA, DANILLO ROBERTO; REBOUCAS FILHO, PEDRO P.; DE ROSA, GUSTAVO HENRIQUE; PAPA, JOAO PAULO; DE ALBUQUERQUE, VICTOR HUGO C.; IEEE. Stroke Lesion Detection Using Convolutional Neural Networks. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 6-pg., 2018-01-01. (14/16250-9, 14/12236-1, 15/25739-4, 16/21243-7)

CULQUICONDOR, ALDO; BALDASSIN, ALEXANDRO; CASTELO-FERNANDEZ, CESAR; DE CARVALHO, JOAO P. L.; PAPA, JOAO PAULO. An efficient parallel implementation for training supervised optimum-path forest classifiers. Neurocomputing, v. 393, p. 259-268, JUN 14 2020. (14/16250-9, 14/12236-1, 13/07375-0, 16/19403-6, 17/03940-5)

DE ROSA, GUSTAVO H.; PAPA, JOAO P.; YANG, XIN-S. Handling dropout probability estimation in convolution neural networks using meta-heuristics. SOFT COMPUTING, v. 22, n. 18, p. 10-pg., 2018-09-01. (15/25739-4, 14/16250-9, 14/12236-1)

PEREIRA, DANILLO R.; PAPA, JOAO P.; SOUZA, ANDRE N.; IEEE. FEMaR: A Finite Element Machine for Regression Problems. 2017 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 7-pg., 2017-01-01. (13/07375-0, 14/12236-1, 14/16250-9)

PEREIRA, LUIS A. M.; PAPA, JOAO P.; COELHO, ANDRE L. V.; LIMA, CLODOALDO A. M.; PEREIRA, DANILLO R.; DE ALBUQUERQUE, VICTOR HUGO C.. Automatic identification of epileptic EEG signals through binary magnetic optimization algorithms. NEURAL COMPUTING & APPLICATIONS, v. 31, p. 13-pg., 2019-02-01. (09/16206-1, 14/16250-9, 11/14094-1)

PEREIRA, CLAYTON R.; PASSOS, LEANDRO A.; LOPES, RICARDO R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; PAPA, JOAO PAULO; FELSBERG, M; HEYDEN, A; KRUGER, N. Parkinson's Disease Identification Using Restricted Boltzmann Machines. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, v. 10425, p. 11-pg., 2017-01-01. (14/16250-9, 15/25739-4, 14/12236-1, 16/21243-7)

PASSOS JUNIOR, LEANDRO A.; COSTA, KELTON A. P.; PAPA, JOAO P.; FELSBERG, M; HEYDEN, A; KRUGER, N. Deep Boltzmann Machines Using Adaptive Temperatures. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, v. 10424, p. 12-pg., 2017-01-01. (14/16250-9, 14/12236-1)

RIBEIRO, PATRICIA B.; PAPA, JOAO P.; ROMERO, ROSELI A. F.; ARMATO, SG; PETRICK, NA. An Ensemble-based Approach for Breast Mass Classification in Mammography Images. MEDICAL IMAGING 2017: COMPUTER-AIDED DIAGNOSIS, v. 10134, p. 8-pg., 2017-01-01. (14/16250-9)

ROSA, GUSTAVO H.; AFONSO, LUIS C. S.; BALDASSIN, ALEXANDRO; PAPA, JOAO P.; YANG, XIN-SHE; FELSBERG, M; HEYDEN, A; KRUGER, N. Quaternionic Flower Pollination Algorithm. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, v. 10425, p. 12-pg., 2017-01-01. (14/16250-9, 15/25739-4, 14/12236-1, 16/21243-7)

IWASHITA, ADRIANA SAYURI; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. Learning concept drift with ensembles of optimum-path forest-based classifiers. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 95, p. 198-211, JUN 2019. (13/07375-0, 14/16250-9, 14/12236-1)

NACHIF FERNANDES, SILAS EVANDRO; PAPA, JOAO PAULO. Improving optimum-path forest learning using bag-of-classifiers and confidence measures. PATTERN ANALYSIS AND APPLICATIONS, v. 22, n. 2, p. 703-716, MAY 2019. (13/07375-0, 14/16250-9, 14/12236-1, 16/19403-6)

PEREIRA, CLAYTON R.; PEREIRA, DANILO R.; ROSA, GUSTAVO H.; ALBUQUERQUE, VICTOR H. C.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; PAPA, JOAO P.. Handwritten dynamics dynamics assessment through convolutional neural networks: An application to Parkinson's disease identification. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 87, p. 67-77, MAY 2018. (13/07375-0, 14/16250-9, 16/19403-6, 10/15566-1, 14/12236-1, 15/25739-4)

PAPA, JOAO PAULO; ROSA, GUSTAVO H.; PEREIRA, DANILLO R.; YANG, XIN-SHE. Quaternion-based Deep Belief Networks fine-tuning. APPLIED SOFT COMPUTING, v. 60, p. 328-335, NOV 2017. (14/16250-9, 14/12236-1, 15/25739-4)

RODRIGUES, DOUGLAS; PAPA, JOAO P.; ADELI, HOJJAT. Meta-heuristic multi- and many-objective optimization techniques for solution of machine learning problems. EXPERT SYSTEMS, v. 34, n. 6, DEC 2017. (13/07375-0, 14/16250-9, 15/50319-9, 16/19403-6, 14/12236-1)

PEREIRA, CLAYTON R.; PEREIRA, DANILO R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO P.. A survey on computer-assisted Parkinson's Disease diagnosis. ARTIFICIAL INTELLIGENCE IN MEDICINE, v. 95, p. 48-63, APR 2019. (13/07375-0, 14/16250-9, 14/12236-1, 16/19403-6)

PIRES, RAFAEL G.; FERNANDES, SILAS E. N.; PAPA, JOAO PAULO; FELSBERG, M; HEYDEN, A; KRUGER, N. Blur Parameter Identification Through Optimum-Path Forest. COMPUTER ANALYSIS OF IMAGES AND PATTERNS, v. 10425, p. 11-pg., 2017-01-01. (14/16250-9, 14/12236-1)

PAPA, JOAO PAULO; NACHIF FERNANDES, SILAS EVANDRO; FALCAO, ALEXANDRE XAVIER. Optimum-Path Forest based on k-connectivity: Theory and applications. PATTERN RECOGNITION LETTERS, v. 87, p. 10-pg., 2017-02-01. (14/16250-9, 09/16206-1, 13/20387-7)

CULQUICONDOR, ALDO; CASTELO-FERNANDEZ, CESAR; PAPA, JOAO PAULO; BELTRANCASTANON, C; NYSTROM, I; FAMILI, F. A New Parallel Training Algorithm for Optimum-Path Forest-Based Learning. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2016, v. 10125, p. 8-pg., 2017-01-01. (14/16250-9)

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