AnImaLS: Anotação de Imagem em Larga Escala: o que máquinas e especialistas podem aprender interagindo?

• Processo: 14/12236-1
• Modalidade de apoio: Auxílio à Pesquisa - Temático
• Vigência: 01 de fevereiro de 2017 - 31 de janeiro de 2023
• Área do conhecimento: Ciências Exatas e da Terra - Ciência da Computação - Metodologia e Técnicas da Computação
• Pesquisador responsável: Alexandre Xavier Falcão
• Beneficiário: Alexandre Xavier Falcão
• Instituição Sede: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brasil
• Pesquisadores principais:( Últimos ): Jancarlo Ferreira Gomes ; João Paulo Papa ; Katia Denise Saraiva Bresciani ; Marcelo Finger
• Pesquisadores principais:( Antigos ): Luis Gustavo Nonato
• Pesquisadores associados: Hélio Pedrini ; Jancarlo Ferreira Gomes ; Paulo André Vechiatto de Miranda ; Pedro Jussieu de Rezende ; Priscila Tiemi Maeda Saito ; Ricardo da Silva Torres ; SILVIO JAMIL FERZOLI GUIMARAES
• Auxílios(s) vinculado(s): 19/08759-2 - Algoritmos eficientes para a otimização da norma-máximo em análise de imagem e visão computacional, AP.R SPRINT; 20/06443-5 - Estudo Spira: sistema de detecção precoce de insuficiência respiratória por meio de análise de áudio, AP.R; 19/17096-7 - Criptosporidium spp.: análises de imagens, moleculares e do microbioma intestinal, AV.EXT; + mais auxílios vinculados 19/06533-7 - Aprendizado adversarial para o diagnóstico assistido de câncer por computador, AP.R SPRINT; 19/17094-4 - 2019 IEEE International Conference on Image Processing, AR.EXT; 19/00585-5 - Redes neurais adversariais evolutivas aplicadas ao diagnóstico assistido por computador de retinopatia diabética, AP.R SPRINT; 18/11100-0 - 30th Canadian Conference on Computational Geometry, AR.EXT; 17/05522-6 - 50th Annual International Symposium of Circuits and Systems, AR.EXT - menos auxílios vinculados
• Bolsa(s) vinculada(s): 22/13156-8 - Docagem Molecular Utilizando Redes Neurais de Grafos, BP.IC; 22/04349-7 - Processamento de amostras fecais por meio da integração da flotação por ar dissolvido e diagnóstico automatizado de parasitos intestinais, BP.PD; 22/03754-5 - Rumo à detecção de mesotelioma maligno a partir de imagens de ressonância magnética 4D do tórax, BP.MS; + mais bolsas vinculadas 22/07877-4 - Incorporando aprendizado contrastivo na segmentação de imagens por árvores dinâmicas, BP.IC; 21/08870-0 - Ferramenta gráfica para o projeto interativo de redes neurais convolucionais por marcadores, BP.TT; 21/08720-9 - Diagnóstico Automatizado de Parasitos Intestinais, BP.TT; 21/05704-2 - Segmentação semi-automática de estruturas torácicas em exames de tomografia, BP.IC; 21/06545-5 - Seleção de imagens para anotação interativa com auxílio da projeção do espaço de características, BP.IC; 20/16092-5 - Ajuste de redes neurais prototípicas utilizando metaheurísticas, BP.IC; 19/10705-8 - Aprendizado Ativo Visual guiado por Projeções de Características, BP.DR; 19/11349-0 - Segmentação de imagens baseada em dynamic-trees e neural networks, BP.IC; 19/02205-5 - Aprendizado adversarial em processamento de linguagem natural, BP.DR; 18/21204-7 - Diagnóstico do protozoário Cryptosporidium spp., por meio de análise automatizada de imagens, BP.MS; 17/04847-9 - Auxílio ao Diagnóstico Automático do Esôfago de Barrett Utilizando Aprendizado de Máquina, BP.DR; 18/19245-7 - Desenvolvimento e Validação Laboratorial de uma Nova Ferramenta Destinada ao Diagnóstico Computadorizado a Distância por Imagens de Lesões Cutâneas Ocasionadas por Leishmania spp., BP.PD; 18/10100-6 - Ajuste de hiperparâmetros em redes de memória de longo prazo utilizando programação genética, BP.IC; 18/10706-1 - Aprendizado de hiperparâmetros em máquinas de Boltzmann restritas utilizando programação genética, BP.IC; 18/08951-8 - PyIFT: processamento de imagem usando a transformada imagem-floresta em Python, BP.IC; 18/01693-3 - Diagnóstico do protozoário Cryptosporidium spp., por meio de análise automatizada de imagens, BP.TT; 17/10537-2 - PyOPF: classicação de padrões por florestas de caminhos ótimos em Python, BP.IC; 17/09160-1 - Reconhecimento de Ações Humanas em Vídeos, BP.DR; 17/03940-5 - Aprendizado Interativo de Dicionários Visuais Aplicado à Classificação de Imagens, BP.DR; 17/12974-0 - Aprendizado de máquina guiado por visualização de dados multidimensionais, BP.PD; 17/14189-9 - Diagnóstico automatizado por imagens de parasitos gastrintestinais de cães e gatos, BP.PD; 17/02073-6 - Modelo de redes para predição de crimes, BP.DR; 16/25776-0 - Otimização de redes neurais Autocodificadoras guiada por análise visual de dados, BP.MS - menos bolsas vinculadas
• Assunto(s): Inteligência artificial Reconhecimento de padrões Reconhecimento de imagem Análise de dados Classificação de dados Diagnóstico por imagem Aprendizado computacional Processamento de imagem assistida por computador
• Palavra(s)-Chave do Pesquisador: Análise Visual de Dados | Aprendizado Ativo de Classificadores de Padrões | Aprendizado de Características de Imagem | Automatização do Diagnóstico de Parasitos Gastrintestinais | Reconhecimento de padrões em imagem | Segmentação e Classificação de Imagem | Processamento de Imagem

Resumo

Em muitas áreas das Ciências e Engenharia, imagens fornecem informações sobre problemas reais e a associação por uma máquina de um ou mais rótulos por imagem (anotação), com base nessas informações, conduz a uma decisão sobre o problema. No entanto, o aprendizado de máquina requer que o conteúdo de interesse, denominado amostra, seja manualmente isolado e identificado (rotulado) em imagens de treinamento. À medida que as imagens e amostras por imagem não rotuladas crescem em número, a anotação manual delas se torna inviável, nos conduzindo às seguintes questões: Qual é a forma mais intuitiva dos especialistas ensinarem às máquinas a anotar imagens? Quais são as tarefas e desafios envolvidos neste processo? Como minimizar o esforço do especialista com máxima eficácia no aprendizado de máquina? O que máquinas e especialistas podem aprender interagindo? Este projeto temático visa encontrar respostas para estas questões por meio do estudo e desenvolvimento de métodos para anotação de imagem em larga escala, e construção de sistemas de tomada de decisão (sem a participação do usuário) e de sistemas de apoio à decisão, onde especialistas e máquinas cooperam e aprendem uns com os outros continuamente. A metodologia explora as habilidades complementares dos seres humanos, melhores em abstrair o conhecimento, e máquinas, superiores no processamento de dados em larga escala, de modo repetitivo e sem fadiga. O problema é dividido em duas etapas: extração de amostras das imagens e aprendizado interativo de máquina, visando a construção de uma sequência de operações para anotar novas imagens automaticamente ou com o mínimo de intervenção humana. O estudo busca combinar características de imagem obtidas dos dados com características provenientes do conhecimento sobre a aplicação. O projeto visa ainda inovações científicas e tecnológicas para o diagnóstico de parasitos gastrintestinais em humanos e animais vertebrados, por meio da aquisição e anotação automatizadas de imagens microscópicas, e para demonstrar a extensão dos métodos em outros domínios, o projeto inclui estudos de anotação de imagem médica por modelos de forma multi-objeto, e anotação interativa de imagem de sensoriamento remoto. (AU)

Publicações científicas

(119)

(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)

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)

IWASHITA, ADRIANA SAYURI; RODRIGUES, DOUGLAS; GASTALDELLO, DANILO SINKITI; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. An incremental Optimum-Path Forest classifier and its application to non-technical losses identification. COMPUTERS & ELECTRICAL ENGINEERING, v. 95, OCT 2021. (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)

SEGUNDO, MAURICIO PAMPLONA; PINTO, ALLAN; MINETTO, RODRIGO; TORRES, RICARDO DA SILVA; SARKAR, SUDEEP. Measuring Economic Activity From Space: A Case Study Using Flying Airplanes and COVID-19. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 14, p. 7213-7224, 2021. (19/22262-3, 16/50250-1, 14/12236-1, 15/24494-8, 19/16253-1, 19/17729-0)

CORDOVA, MANUEL; PINTO, ALLAN; HELLEVIK, CHRISTINA CARROZZO; ALALIYAT, SALEH ABDEL-AFOU; HAMEED, IBRAHIM A.; PEDRINI, HELIO; TORRES, RICARDO DA S.. itter Detection with Deep Learning: A Comparative Stud. ENSOR, v. 22, n. 2, JAN 2022. (15/24494-8, 19/17729-0, 19/16253-1, 14/12236-1, 16/50250-1, 17/20945-0, 19/22262-3)

VARGAS-MUNOZ, JOHN E.; SRIVASTAVA, SHIVANGI; TUIA, DEVIS; FALCAO, ALEXANDRE X.. A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, v. 9, n. 1, p. 184-199, MAR 2021. (14/12236-1, 16/14760-5)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. On the prediction of long-lived bugs: An analysis and comparative study using FLOSS projects. INFORMATION AND SOFTWARE TECHNOLOGY, v. 132, APR 2021. (14/50715-9, 16/50250-1, 14/12236-1, 15/24494-8, 17/20945-0, 13/50155-0)

PEREIRA, ERICO M.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.. A genetic algorithm approach for image representation learning through color quantization. MULTIMEDIA TOOLS AND APPLICATIONS, v. 80, n. 10, p. 15315-15350, APR 2021. (13/50169-1, 16/50250-1, 15/24494-8, 17/20945-0, 13/50155-0, 14/50715-9, 14/12236-1)

SANTANA, MARCOS C. S.; PASSOS, JR., LEANDRO APARECIDO; MOREIRA, THIERRY P.; COLOMBO, DANILO; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. A Novel Siamese-Based Approach for Scene Change Detection With Applications to Obstructed Routes in Hazardous Environments. IEEE INTELLIGENT SYSTEMS, v. 35, n. 1, p. 44-53, JAN-FEB 2020. (14/12236-1, 13/07375-0, 17/25908-6, 16/19403-6)

COLOMBO, DANILO; ALVES LIMA, GILSON BRITO; PEREIRA, DANILLO ROBERTO; PAPA, JOAO P.. Regression-based finite element machines for reliability modeling of downhole safety valves. RELIABILITY ENGINEERING & SYSTEM SAFETY, v. 198, JUN 2020. (14/12236-1, 13/07375-0, 16/19403-6)

OSAKU, D.; CUBA, C. F.; SUZUKI, C. T. N.; GOMES, J. F.; FALCAO, A. X.. Automated diagnosis of intestinal parasites: A new hybrid approach and its benefits. COMPUTERS IN BIOLOGY AND MEDICINE, v. 123, AUG 2020. (14/12236-1, 17/12974-0)

VARGAS MUNOZ, JOHN E.; TUIA, DEVIS; FALCAO, ALEXANDRE X.. Deploying machine learning to assist digital humanitarians: making image annotation in OpenStreetMap more efficient. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, AUG 2020. (16/14760-5, 14/12236-1)

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)

BELEM, FELIPE C.; GUIMARAES, SILVIO JAMIL F.; FALCAO, ALEXANDRE X.. Superpixel Segmentation Using Dynamic and Iterative Spanning Forest. IEEE SIGNAL PROCESSING LETTERS, v. 27, p. 1440-1444, 2020. (14/12236-1)

DE SOUZA JR, LUIS A.; PASSOS, LEANDRO A.; MENDEL, ROBERT; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; PALM, CHRISTOPH; PAPA, JOAO P.. Assisting Barrett's esophagus identification using endoscopic data augmentation based on Generative Adversarial Networks. COMPUTERS IN BIOLOGY AND MEDICINE, v. 126, NOV 2020. (13/07375-0, 19/07665-4, 19/08605-5, 17/04847-9, 14/12236-1)

BENATO, BARBARA C.; GOMES, JANCARLO F.; TELEA, ALEXANDRU C.; FALCAO, ALEXANDRE X.. Semi-automatic data annotation guided by feature space projection. PATTERN RECOGNITION, v. 109, JAN 2021. (16/25776-0, 14/12236-1, 17/25327-3)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; TORRES, RICARDO DA S.. A BFS-Tree of ranking references for unsupervised manifold learning. PATTERN RECOGNITION, v. 111, MAR 2021. (16/50250-1, 15/24494-8, 13/50155-0, 18/15597-6, 13/50169-1, 17/20945-0, 14/12236-1, 17/25908-6, 14/50715-9)

PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO. A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. APPLIED SOFT COMPUTING, v. 97, n. B, DEC 2020. (13/07375-0, 14/12236-1, 16/19403-6)

CORDOVA, MANUEL; PINTO, ALLAN; PEDRINI, HELIO; TORRES, RICARDO DA SILVA. Pelee-Text plus plus : A Tiny Neural Network for Scene Text Detection. IEEE ACCESS, v. 8, p. 223172-223188, 2020. (17/20945-0, 19/17729-0, 16/50250-1, 19/22262-3, 19/16253-1, 14/12236-1, 15/24494-8)

RIBEIRO, LUIZ C. F.; AFONSO, LUIS C. S.; COLOMBO, DANILO; GUILHERME, IVAN R.; PAPA, JOAO P.. Evolving Neural Conditional Random Fields for drilling report classification. JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, v. 187, APR 2020. (14/12236-1, 13/07375-0, 16/19403-6)

PISANI, FLAVIA; PASCOTTI VALEM, LUCAS; GUIMARAES PEDRONETTE, DANIEL CARLOS; DA S. TORRES, RICARDO; BORIN, EDSON; BRETERNITZ, MAURICIO. A unified model for accelerating unsupervised iterative re-ranking algorithms. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, v. 32, n. 14, MAR 2020. (14/50715-9, 13/50169-1, 14/12236-1, 13/08645-0, 13/50155-0, 15/24494-8)

BEJAR, HANS H. C.; FERZOLI GUIMARAES, SILVIO JAMIL; MIRANDA, V, PAULO A.. Efficient hierarchical graph partitioning for image segmentation by optimum oriented cuts. PATTERN RECOGNITION LETTERS, v. 131, p. 185-192, MAR 2020. (14/12236-1, 16/21591-5)

MARTINS, SAMUEL B.; TELEA, ALEXANDRU C.; FALCAO, ALEXANDRE X.. Investigating the impact of supervoxel segmentation for unsupervised abnormal brain asymmetry detection. Computerized Medical Imaging and Graphics, v. 85, OCT 2020. (14/12236-1)

FERREIRA GOMES, LUIZ ALBERTO; TORRES, RICARDO DA SILVA; CORTES, MARIO LTICIO. Bug report severity level prediction in open source software: A survey and research opportunities. INFORMATION AND SOFTWARE TECHNOLOGY, v. 115, p. 58-78, NOV 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

AMORIM, WILLIAN PARAGUASSU; ROSA, GUSTAVO HENRIQUE; THOMAZELLA, ROGERIO; COGO CASTANHO, JOSE EDUARDO; LOFRANO DOTTO, FABIO ROMANO; RODRIGUES JUNIOR, OSWALDO PONS; MARANA, APARECIDO NILCEU; PAPA, JOAO PAULO. Semi-supervised learning with connectivity-driven convolutional neural networks. PATTERN RECOGNITION LETTERS, v. 128, p. 16-22, DEC 1 2019. (14/12236-1, 13/07375-0, 15/25739-4, 16/19403-6)

DE SOUZA, GUSTAVO BOTELHO; DA SILVA SANTOS, DANIEL FELIPE; PIRES, RAFAEL GONCALVES; MARANA, APARECIDO NILCEU; PAPA, JOAO PAULO. DEEP FEATURES EXTRACTION FOR ROBUST FINGERPRINT SPOOFING ATTACK DETECTION. JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH, v. 9, n. 1, p. 41-49, JAN 2019. (14/12236-1, 17/05522-6)

ESMAEL, AGNALDO APARECIDO; DOS SANTOS, JEFERSSON ALEX; TORRES, RICARDO DA SILVA. On the ensemble of multiscale object-based classifiers for aerial images: a comparative study. MULTIMEDIA TOOLS AND APPLICATIONS, v. 77, n. 19, p. 24565-24592, OCT 2018. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 15/24494-8)

VARGAS-MUNOZ, JOHN E.; CHOWDHURY, ANANDA S.; ALEXANDRE, EDUARDO B.; GALVAO, FELIPE L.; VECHIATTO MIRANDA, PAULO A.; FALCAO, ALEXANDRE X.. An Iterative Spanning Forest Framework for Superpixel Segmentation. IEEE Transactions on Image Processing, v. 28, n. 7, p. 3477-3489, JUL 2019. (16/14760-5, 14/12236-1, 15/01186-6, 14/50937-1)

DA SILVA, EDUARDO SANT'ANA; SANTOS, ANDERSON; PEDRINI, HELIO. METRICS FOR IMAGE SURFACE APPROXIMATION BASED ON TRIANGULAR MESHES. IMAGE ANALYSIS & STEREOLOGY, v. 37, n. 1, p. 71-82, 2018. (14/12236-1)

FINGER, MARCELO; PRETO, SANDRO. Probably Partially True: Satisfiability for Lukasiewicz Infinitely-Valued Probabilistic Logic and Related Topics. JOURNAL OF AUTOMATED REASONING, JUN 2020. (14/12236-1, 15/21880-4)

MARTINS, SAMUEL BOTTER; BRAGANTINI, JORDAO; FALCAO, ALEXANDRE XAVIER; YASUDA, CLARISSA LIN. An adaptive probabilistic atlas for anomalous brain segmentation in MR images. Medical Physics, v. 46, n. 11, p. 4940-4950, NOV 2019. (14/12236-1, 13/07559-3, 18/08951-8)

SOUSA, AZAEL M.; MARTINS, SAMUEL B.; FALCAO, ALEXANDRE X.; REIS, FABIANO; BAGATIN, ERICSON; IRION, KLAUS. ALTIS: A fast and automatic lung and trachea CT-image segmentation method. Medical Physics, v. 46, n. 11, p. 4970-4982, NOV 2019. (14/12236-1)

PHELLAN, RENZO; LINDNER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; YASUDA, CLARISSA L.; SOKOLSKA, MAGDALENA; JAGER, ROLF H.; FORKERT, NILS DANIEL. Segmentation-Based Blood Flow Parameter Refinement in Cerebrovascular Structures Using 4-D Arterial Spin Labeling MRA. IEEE Transactions on Biomedical Engineering, v. 67, n. 7, p. 1936-1946, JUL 2020. (14/12236-1)

PAPA, JOAO P.; ROSA, GUSTAVO H.; DE SOUZA, ANDRE N.; AFONSO, LUIS C. S.. Feature selection through binary brain storm optimization. COMPUTERS & ELECTRICAL ENGINEERING, v. 72, p. 468-481, NOV 2018. (13/07375-0, 17/02286-0, 16/19403-6, 14/12236-1, 17/22905-6, 13/08645-0)

ALYASSERI, ZAID ABDI ALKAREEM; KHADER, AHAMAD TAJUDIN; AL-BETAR, MOHAMMED AZMI; PAPA, JOAO P.; ALOMARI, OSAMA AHMAD. EEG Feature Extraction for Person Identification Using Wavelet Decomposition and Multi-Objective Flower Pollination Algorithm. IEEE ACCESS, v. 6, p. 76007-76024, 2018. (13/07375-0, 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)

ALMEIDA, ALEXANDRE E.; TORRES, RICARDO DA S.. Remote Sensing Image Classification Using Genetic-Programming-Based Time Series Similarity Functions. IEEE Geoscience and Remote Sensing Letters, v. 14, n. 9, p. 1499-1503, SEP 2017. (14/50715-9, 13/50155-0, 14/12236-1, 15/02105-0, 13/50169-1)

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)

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)

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)

OLIVEIRA, ALBERTO; OAKLEY, ERIC; TORRES, RICARDO DA SILVA; ROCHA, ANDERSON. Relevance prediction in similarity-search systems using extreme value theory. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 60, p. 236-249, APR 2019. (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 17/12646-3, 13/50155-0, 15/24494-8)

YAMASHITA, ALEXANDRE YUKIO; FALCAO, ALEXANDRE XAVIER; LEITE, NEUCIMAR JERONIMO; INITIA, ALZHEIMERS DIS NEUROIMAGING. The Residual Center of Mass: An Image Descriptor for the Diagnosis of Alzheimer Disease. NEUROINFORMATICS, v. 17, n. 2, p. 307-321, APR 2019. (14/12236-1)

MENINI, NATHALIA; ALMEIDA, ALEXANDRE E.; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; DOS SANTOS, JEFERSSON A.; PEDRINI, HELIO; HIROTA, MARINA; TORRES, RICARDO DA S.. A Soft Computing Framework for Image Classification Based on Recurrence Plots. IEEE Geoscience and Remote Sensing Letters, v. 16, n. 2, p. 320-324, FEB 2019. (14/50715-9, 16/26170-8, 18/06918-3, 13/50155-0, 14/12236-1, 15/02105-0, 17/12646-3, 13/50169-1)

DE SOUZA, RENATO WILLIAM R.; DE OLIVEIRA, JOAO VITOR CHAVES; PASSOS, JR., LEANDRO A.; DING, WEIPING; PAPA, JOAO P.; DE ALBUQUERQUE, VICTOR HUGO C.. A Novel Approach for Optimum-Path Forest Classification Using Fuzzy Logic. IEEE TRANSACTIONS ON FUZZY SYSTEMS, v. 28, n. 12, p. 3076-3086, DEC 2020. (13/07375-0, 17/25908-6, 18/21934-5, 16/19403-6, 14/12236-1)

ROBERTO E SOUZA, MARCOS; PEDRINI, HELIO. Motion energy image for evaluation of video stabilization. VISUAL COMPUTER, v. 35, n. 12, p. 1769-1781, DEC 2019. (17/12646-3, 14/12236-1)

CAMPANA, JOSE L. FLORES; PINTO, ALLAN; CORDOVA NEIRA, MANUEL ALBERTO; LORGUS DECKER, LUIS GUSTAVO; SANTOS, ANDREZA; CONCEICAO, JHONATAS S.; TORRES, RICARDO DA SILVA. On the Fusion of Text Detection Results: A Genetic Programming Approach. IEEE ACCESS, v. 8, p. 81257-81270, 2020. (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)

DIAS, DANIELLE; DIAS, ULISSES; MENINI, NATHALIA; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. Image-Based Time Series Representations for Pixelwise Eucalyptus Region Classification: A Comparative Study. IEEE Geoscience and Remote Sensing Letters, v. 17, n. 8, p. 1450-1454, AUG 2020. (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1)

FADEL, SAMUEL G.; TORRES, RICARDO DA S.. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36, JUL 2020. (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

ALBARRACIN, JUAN F. H.; OLIVEIRA, RAFAEL S.; HIROTA, MARINA; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. A Soft Computing Approach for Selecting and Combining Spectral Bands. REMOTE SENSING, v. 12, n. 14, JUL 2020. (15/02105-0, 14/50715-9, 13/50169-1, 16/08085-3, 14/12236-1, 17/12646-3, 16/26170-8, 13/50155-0, 18/06918-3)

MELO DE OLIVEIRA SANTOS, CECILIA LIRA; CAMARGO LAMPARELLI, RUBENS AUGUSTO; DANTAS ARAUJO FIGUEIREDO, GLEYCE KELLY; DUPUY, STEPHANE; BOURY, JULIE; DOS SANTOS LUCIANO, ANA CLAUDIA; TORRES, RICARDO DA SILVA; LE MAIRE, GUERRIC. Classification of Crops, Pastures, and Tree Plantations along the Season with Multi-Sensor Image Time Series in a Subtropical Agricultural Region. REMOTE SENSING, v. 11, n. 3, FEB 1 2019. (15/24494-8, 14/50715-9, 14/12236-1, 13/50155-0)

AFONSO, LUIS C. S.; ROSA, GUSTAVO H.; PEREIRA, CLAYTON R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO P.. A recurrence plot-based approach for Parkinson's disease identification. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 94, p. 282-292, MAY 2019. (14/12236-1, 13/07375-0, 16/19403-6)

CORDOVA NEIRA, MANUEL ALBERTO; MENDES JUNIOR, PEDRO RIBEIRO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Data-Fusion Techniques for Open-Set Recognition Problems. IEEE ACCESS, v. 6, p. 21242-U24, 2018. (14/50715-9, 17/20945-0, 16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 17/12646-3, 13/50169-1)

SILVA, FERNANDA B.; WERNECK, RAFAEL DE O.; GOLDENSTEIN, SIOME; TABBONE, SALVATORE; TORRES, RICARDO DA S.. Graph-based bag-of-words for classification. PATTERN RECOGNITION, v. 74, p. 266-285, FEB 2018. (16/18429-1, 12/50468-6, 13/11378-4, 13/50155-0, 14/12236-1, 12/16172-2, 13/50169-1)

GUIMARAES PEDRONETTE, DANIEL CARLOS; VALEM, LUCAS PASCOTTI; ALMEIDA, JURANDY; TONES, RICARDO DA S.. Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking. IEEE Transactions on Image Processing, v. 28, n. 12, p. 5824-5838, DEC 2019. (14/50715-9, 16/50250-1, 17/25908-6, 17/20945-0, 14/12236-1, 16/06441-7, 18/15597-6, 13/50155-0, 17/02091-4, 15/24494-8)

WERNECK, RAFAEL DE OLIVEIRA; DE ALMEIDA, WALDIR RODRIGUES; STEIN, BERNARDO VECCHIA; PAZINATO, DANIEL VATANABE; MENDES JUNIOR, PEDRO RIBEIRO; BIZETTO PENATTI, OTAVIO AUGUSTO; ROCHA, ANDERSON; TORRES, RICARDO DA SILVA. Kuaa: A unified framework for design, deployment, execution, and recommendation of machine learning experiments. FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE, v. 78, n. 1, p. 59-76, JAN 2018. (16/18429-1, 15/19222-9, 13/50155-0, 14/12236-1, 13/50169-1)

ALCANTARA, MARLON F.; PEDRINI, HELIO; CAO, YU. Human Action Classification Based on Silhouette Indexed Interest Points for Multiple Domains. INTERNATIONAL JOURNAL OF IMAGE AND GRAPHICS, v. 17, n. 3, JUL 2017. (14/12236-1, 15/12228-1)

SOUZA, LUIZ; OLIVEIRA, LUCIANO; PAMPLONA, MAURICIO; PAPA, JOAO. How far did we get in face spoofing detection?. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 72, p. 368-381, JUN 2018. (13/07375-0, 14/12236-1, 16/19403-6)

DE SOUZA JR, LUIS A.; PALM, CHRISTOPH; MENDEL, ROBERT; HOOK, CHRISTIAN; EBIGBO, ALANNA; PROBST, ANDREAS; MESSMANN, HELMUT; WEBER, SILKE; PAPA, JOAO P.. A survey on Barrett's esophagus analysis using machine learning. COMPUTERS IN BIOLOGY AND MEDICINE, v. 96, p. 203-213, MAY 1 2018. (13/07375-0, 14/12236-1, 16/19403-6)

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)

DE SOUZA, GUSTAVO BOTELHO; DA SILVA SANTOS, DANIEL FELIPE; PIRES, RAFAEL GONCALVES; MARANA, APARECIDO NILCEU; PAPA, JOAO PAULO. Deep Texture Features for Robust Face Spoofing Detection. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, v. 64, n. 12, p. 1397-1401, DEC 2017. (14/12236-1, 17/05522-6)

RAMIREZ CORNEJO, JADISHA YARIF; PEDRINI, HELIO; MACHADO-LIMA, ARIANE; DOS SANTOS NUNES, FATIMA DE LOURDES. Down syndrome detection based on facial features using a geometric descriptor. JOURNAL OF MEDICAL IMAGING, v. 4, n. 4, OCT 2017. (14/12236-1)

DIAS, DANIELLE; PINTO, ALLAN; DIAS, ULISSES; LAMPARELLI, RUBENS; LE MAIRE, GUERRIC; TORRES, RICARDO DA S.. A Multirepresentational Fusion of Time Series for Pixelwise Classification. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, v. 13, p. 4399-4409, 2020. (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8)

BRAGANTINI, JORDAO; MOURA, BRUNO; FALCAO, ALEXANDRE X.; CAPPABIANCO, FABIO A. M.. Grabber: A tool to improve convergence in interactive image segmentation. PATTERN RECOGNITION LETTERS, v. 140, p. 267-273, DEC 2020. (14/12236-1, 19/11349-0, 16/21591-5)

DA COSTA, KELTON A. P.; PAPA, JOAO P.; PASSOS, LEANDRO A.; COLOMBO, DANILO; DEL SER, JAVIER; MUHAMMAD, KHAN; DE ALBUQUERQUE, VICTOR HUGO C.. A critical literature survey and prospects on tampering and anomaly detection in image data. APPLIED SOFT COMPUTING, v. 97, n. B, DEC 2020. (16/19403-6, 14/12236-1, 13/07375-0, 17/22905-6)

SOUSA E SANTOS, ANDERSON CARLOS; PEDRINI, HELIO. Human Action Recognition Based on a Spatio-Temporal Video Autoencoder. INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, v. 34, n. 11, OCT 2020. (14/12236-1)

RODER, MATEUS; PASSOS, LEANDRO APARECIDO; DE ROSA, GUSTAVO H.; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. Reinforcing learning in Deep Belief Networks through nature-inspired optimization. APPLIED SOFT COMPUTING, v. 108, SEP 2021. (19/07825-1, 18/21934-5, 17/25908-6, 19/07665-4, 19/02205-5, 13/07375-0, 14/12236-1)

NONATO, LUIS GUSTAVO; DO CARMO, FABIANO PETRONETTO; SILVA, CLAUDIO T.. GLoG: Laplacian of Gaussian for Spatial Pattern Detection in Spatio-Temporal Data. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v. 27, n. 8, p. 3481-3492, AUG 1 2021. (14/12236-1, 13/07375-0, 16/04391-2)

ROBERTO E SOUZA, MARCOS; RODRIGUES DA FONSECA, LUIZ FERNANDO; PEDRINI, HELIO. Improvement of global motion estimation in two-dimensional digital video stabilisation methods. IET IMAGE PROCESSING, v. 12, n. 12, p. 2204-2211, DEC 2018. (14/12236-1)

AMORIM, WILLIAN PARAGUASSU; TETILA, EVERTON CASTELAO; PISTORI, HEMERSON; PAPA, JOAO PAULO. Semi-supervised learning with convolutional neural networks for UAV images automatic recognition. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 164, SEP 2019. (14/12236-1, 13/07375-0, 15/25739-4, 16/19403-6)

UCHOA MAIA RODRIGUES, DANIELE C.; MOURA, FELIPE A.; CUNHA, SERGIO AUGUSTO; TORRES, RICARDO DA S.. Graph visual rhythms in temporal network analyses. GRAPHICAL MODELS, v. 103, MAY 2019. (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 18/19007-9, 17/20945-0, 13/50155-0, 15/24494-8)

PHELLAN, RENZO; LINDNER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; OKELL, THOMAS W.; FORKERT, NILS D.. A methodology for generating four-dimensional arterial spin labeling MR angiography virtual phantoms. MEDICAL IMAGE ANALYSIS, v. 56, p. 184-192, AUG 2019. (14/12236-1)

MORAES, THIAGO; AMORIM, PAULO; DA SILVA, JORGE VICENTE; PEDRINI, HELIO. Medical image interpolation based on 3D Lanczos filtering. COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION, NOV 2019. (14/12236-1, 17/12646-3)

MENDOZA, JULIO; PEDRINI, HELIO. Detection and classification of lung nodules in chest X-ray images using deep convolutional neural networks. COMPUTATIONAL INTELLIGENCE, v. 36, n. 2, NOV 2019. (14/12236-1, 17/12646-3)

SOUSA, AZAEL M.; MARTINS, SAMUEL B.; FALCAO, ALEXANDRE X.; REIS, FABIANO; BAGATIN, ERICSON; IRION, KLAUS. ALTIS: A fast and automatic lung and trachea CT-image segmentation method. Medical Physics, SEP 2019. (14/12236-1)

DA COSTA, KELTON A. P.; PAPA, JOAO P.; LISBOA, CELSO O.; MUNOZ, ROBERTO; DE ALBUQUERQUE, VICTOR HUGO C.. Internet of Things: A survey on machine learning-based intrusion detection approaches. Computer Networks, v. 151, p. 147-157, MAR 14 2019. (14/12236-1, 17/22905-6, 16/19403-6, 13/07375-0)

SILVA, EWERTON; TORRES, RICARDO S.; ALBERTON, BRUNA; MORELLATO, LEONOR PATRICIA C.; SILVA, THIAGO S. F.. A Change-Driven Image Foveation Approach for Tracking Plant Phenology. REMOTE SENSING, v. 12, n. 9, MAY 2020. (14/50715-9, 14/00215-0, 16/50250-1, 17/20945-0, 14/12236-1, 13/50155-0, 15/24494-8, 16/01413-5)

QUISPE, RODOLFO; TTITO, DARWIN; RIVERA, ADIN; PEDRINI, HELIO. Multi-Stream Networks and Ground Truth Generation for Crowd Counting. INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, v. 11, n. 1, p. 33-41, 2020. (14/12236-1, 16/19947-6)

SILVA, EWERTON; TORRES, RICARDO DA S.; PINTO, ALLAN; LI, LIN TZY; VIANNA, JOSE EDUARDO S.; AZEVEDO, RODOLFO; GOLDENSTEIN, SIOME. Application-Oriented Retinal Image Models for Computer Vision. SENSORS, v. 20, n. 13, JUL 2020. (14/12236-1, 13/50155-0, 16/50250-1, 14/50715-9, 17/20945-0)

RIBEIRO, LUIZ C. F.; AFONSO, LUIS C. S.; PAPA, JOAO P.. Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks. COMPUTERS IN BIOLOGY AND MEDICINE, v. 115, DEC 2019. (13/07375-0, 14/12236-1)

AMORIM, PAULO; MORAES, THIAGO; FAZANARO, DALTON; SILVA, JORGE; PEDRINI, HELIO. Shearlet and contourlet transforms for analysis of electrocardiogram signals. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 161, p. 125-132, JUL 2018. (14/12236-1, 17/12646-3)

SOUZA, MARCOS R.; PEDRINI, HELIO. Digital video stabilization based on adaptive camera trajectory smoothing. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, MAY 30 2018. (14/12236-1, 17/12646-3)

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)

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)

MUNOZ, JAVIER VARGAS; GONCALVES, MARCOS A.; DIAS, ZANONI; TORRES, RICARDO DA S.. Hierarchical Clustering-Based Graphs for Large Scale Approximate Nearest Neighbor Search. PATTERN RECOGNITION, v. 96, DEC 2019. (14/50715-9, 16/50250-1, 17/16246-0, 17/20945-0, 14/12236-1, 13/50169-1, 15/11937-9, 17/12646-3, 13/50155-0, 15/24494-8)

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)

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)

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)

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)

PHELLAN, RENZO; LINDNER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; FORKERT, NILS DANIEL. Automatic Temporal Segmentation of Vessels of the Brain Using 4D ASL MRA Images. IEEE Transactions on Biomedical Engineering, v. 65, n. 7, p. 1486-1494, JUL 2018. (14/12236-1)

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)

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)

VARGAS-MUNOZ, JOHN E.; LOBRY, SYLVAIN; FALCAO, ALEXANDRE X.; TUIA, DEVIS. Correcting rural building annotations in OpenStreetMap using convolutional neural networks. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 147, p. 283-293, JAN 2019. (14/12236-1, 16/14760-5, 17/10086-0)

MARIANO, GREICE C.; STAGGEMEIER, VANESSA G.; CERDEIRA MORELLATO, LEONOR PATRICIA; TORRES, RICARDO DA S.. Multivariate cyclical data visualization using radial visual rhythms: A case study in phenology analysis. ECOLOGICAL INFORMATICS, v. 46, p. 19-35, JUL 2018. (14/50715-9, 10/51307-0, 17/20945-0, 16/50250-1, 13/50155-0, 07/59779-6, 15/24494-8, 14/12236-1, 09/18438-7, 13/50169-1)

DE ROSA, GUSTAVO H.; PAPA, JOAO P.; YANG, XIN-SHE. A nature-inspired feature selection approach based on hypercomplex information. APPLIED SOFT COMPUTING, v. 94, SEP 2020. (13/07375-0, 16/19403-6, 14/12236-1, 17/25908-6, 17/02286-0, 19/02205-5)

INACIO, SANDRA VALERIA; GOMES, JANCARLO FERREIRA; FALCAO, ALEXANDRE XAVIER; NAGASE SUZUKI, CELSO TETSUO; NAGATA, WALTER BERTEQUINI; NERY LOIOLA, SAULO HUDSON; DOS SANTOS, BIANCA MARTINS; SOARES, FELIPE AUGUSTO; ROSA, STEFANI LARYSSA; BAPTISTA, CAROLINA BEATRIZ; et al. Automated Diagnosis of Canine Gastrointestinal Parasites Using Image Analysis. PATHOGENS, v. 9, n. 2, FEB 2020. (14/12236-1, 17/14189-9)

DE ROSA, GUSTAVO H.; RODER, MATEUS; PAPA, JOAO P.. Neighbour-based bag-of-samplings for person identification through handwritten dynamics and convolutional neural networks. EXPERT SYSTEMS, NOV 2021. (19/07665-4, 14/12236-1, 20/12101-0, 19/02205-5, 13/07375-0)

JODAS, DANILO SAMUEL; YOJO, TAKASHI; BRAZOLIN, SERGIO; VELASCO, GIULIANA DEL NERO; PAPA, JOAO PAULO. Detection of Trees on Street-View Images Using a Convolutional Neural Network. International Journal of Neural Systems, v. 32, n. 01, JAN 2022. (14/12236-1, 19/07665-4, 13/07375-0, 17/50343-2, 19/18287-0)

INACIO, SANDRA VALERIA; GOMES, JANCARLO FERREIRA; FALCAO, ALEXANDRE XAVIER; MARTINS DOS SANTOS, BIANCA; SOARES, FELIPE AUGUSTO; NERY LOIOLA, SAULO HUDSON; ROSA, STEFANI LARYSSA; NAGASE SUZUKI, CELSO TETSUO; BRESCIANI, KATIA DENISE SARAIVA. Automated Diagnostics: Advances in the Diagnosis of Intestinal Parasitic Infections in Humans and Animals. FRONTIERS IN VETERINARY SCIENCE, v. 8, NOV 23 2021. (14/12236-1)

BRAZ, CAIO DE MORAES; MIRANDA, PAULO A. V.; CIESIELSKI, KRZYSZTOF CHRIS; CAPPABIANCO, FABIO A. M.. Optimum Cuts in Graphs by General Fuzzy Connectedness with Local Band Constraints. Journal of Mathematical Imaging and Vision, v. 62, n. 5, SI, MAR 2020. (14/12236-1, 16/21591-5)

GUEVARA, JUDY C.; TORRES, RICARDO DA S.; DA FONSECA, NELSON L. S.. On the classification of fog computing applications: A machine learning perspective. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, v. 159, JUN 1 2020. (14/50715-9, 16/50250-1, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)

ROBERTO E SOUZA, MARCOS; PEDRINI, HELIO. Visual rhythms for qualitative evaluation of video stabilization. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, v. 2020, n. 1, MAY 18 2020. (14/12236-1, 17/12646-3)

WERNECK, RAFAEL DE OLIVEIRA; RAVEAUX, ROMAIN; TABBONE, SALVATORE; TORRES, RICARDO DA SILVA. Learning cost function for graph classification with open-set methods. PATTERN RECOGNITION LETTERS, v. 128, p. 8-15, DEC 1 2019. (14/50715-9, 16/18429-1, 17/20945-0, 13/50155-0, 17/16453-5, 15/24494-8, 14/12236-1, 13/50169-1)

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)

NOGUEIRA, KEILLER; FADEL, SAMUEL G.; DOURADO, ICARO C.; WERNECK, RAFAEL DE O.; MUNOZ, V, JAVIER A.; PENATTI, OTAVIO A. B.; CALUMBY, RODRIGO T.; LI, LIN TZY; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.. Exploiting ConvNet Diversity for Flooding Identification. IEEE Geoscience and Remote Sensing Letters, v. 15, n. 9, p. 1446-1450, SEP 2018. (14/50715-9, 16/18429-1, 13/50155-0, 15/24494-8, 14/12236-1, 13/50169-1)

RAUBER, PAULO E.; FALCAO, ALEXANDRE X.; TELEA, ALEXANDRU C.. Projections as visual aids for classification system design. INFORMATION VISUALIZATION, v. 17, n. 4, p. 282-305, OCT 2018. (14/12236-1, 12/24121-9)

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)

KHOJASTEH, PARHAM; PASSOS JUNIOR, LEANDRO APARECIDO; CARVALHO, TIAGO; REZENDE, EDMAR; ALIAHMAD, BEHZAD; PAPA, JOAO PAULO; KUMAR, DINESH KANT. Exudate detection in fundus images using deeply-learnable features. COMPUTERS IN BIOLOGY AND MEDICINE, v. 104, p. 62-69, JAN 2019. (16/50022-9, 13/07375-0, 14/12236-1, 16/19403-6)

DE ROSA, GUSTAVO H.; PAPA, JOAO P.. A survey on text generation using generative adversarial networks. PATTERN RECOGNITION, v. 119, NOV 2021. (19/02205-5, 20/12101-0, 14/12236-1, 19/07665-4, 13/07375-0)

CARNEIRO, SARAH ALMEIDA; FERZOLI GUIMARAES, SILVIO JAMIL; PEDRINI, HELLO. High-Level Descriptors for Fall Event Detection Supported by a Multi-Stream Network. INTERNATIONAL JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING SYSTEMS, v. 12, n. 1, p. 11-21, 2021. (14/12236-1, 17/12646-3)

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