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
• Data de Início da vigência: 01 de fevereiro de 2017
• Data de Término da vigência: 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
• Município da Instituição Sede: Campinas
• 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
• Auxílio(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; 21/06545-5 - Seleção de imagens para anotação interativa com auxílio da projeção do espaço de características, BP.IC; 21/05704-2 - Segmentação semi-automática de estruturas torácicas em exames de tomografia, 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

(296)

(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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

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)

MOREIRA, THIERRY PINHEIRO; MENOTTI, DAVID; PEDRINI, HELIO. Video action recognition based on visual rhythm representation. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 71, p. 14-pg., 2020-08-01. (17/12646-3, 14/12236-1, 15/03156-7)

GONCALVES DOS SANTOS, CLAUDIO FILIPI; MOREIRA, THIERRY PINHEIRO; COLOMBO, DANILO; PAPA, JOAO PAULO; NYSTROM, I; HEREDIA, YH; NUNEZ, VM. Does Pooling Really Matter? An Evaluation on Gait Recognition. PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS (CIARP 2019), v. 11896, p. 10-pg., 2019-01-01. (16/06441-7, 17/25908-6, 14/12236-1, 13/07375-0)

FALCAO, ALEXANDRE; BRAGANTINI, JORDAO; COUPRIE, M; COUSTY, J; KENMOCHI, Y; MUSTAFA, N. The Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process?. DISCRETE GEOMETRY FOR COMPUTER IMAGERY, DGCI 2019, v. 11414, p. 15-pg., 2019-01-01. (14/12236-1, 18/08951-8)

BENATO, BARBARA C.; TELEA, ALEXANDRU C.; FALCAO, ALEXANDRE X.; IEEE. Semi-Supervised Learning with Interactive Label Propagation guided by Feature Space Projections. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2018-01-01. (16/25776-0, 14/12236-1, 17/25327-3)

SOUSA, AZAEL MELO; CASTELO-FERNANDEZ, CESAR; OSAKU, DANIEL; BAGATIN, ERICSON; REIS, FABIANO; FALCAO, ALEXANDRE X.; IEEE. An Approach for Asbestos-related Pleural Plaque Detection. 42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, v. N/A, p. 4-pg., 2020-01-01. (14/12236-1, 17/03940-5)

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SAPUCAIA, ALLAN; DE REZENDE, PEDRO J.; DE SOUZA, CID C.; GERVASI, O; MURGANTE, B; MISRA, S; GARAU, C; BLECIC, I; TANIAR, D; APDUHAN, BO; et al. Solving the Coarseness Problem by ILP Using Column Generation. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS, ICCSA 2021, PT V, v. 12953, p. 16-pg., 2021-01-01. (14/12236-1, 18/26434-0, 18/14883-5)

VARGAS-MUNOZ, JOHN E.; MARCOS, DIEGO; LOBRY, SYLVAIN; DOS SANTOS, JEFERSSON A.; FALCAO, ALEXANDRE X.; TUIA, DEVIS; IEEE. CORRECTING MISALIGNED RURAL BUILDING ANNOTATIONS IN OPEN STREET MAP USING CONVOLUTIONAL NEURAL NETWORKS EVIDENCE. IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, v. N/A, p. 4-pg., 2018-01-01. (16/14760-5, 14/12236-1, 17/10086-0)

MARQUES JUNIOR, ADEMIR; FALCAO, ALEXANDRE XAVIER; RACOLTE, GRACIELA; MENEZES, ENIUCE; BACHI, LEONARDO; CAZARIN, CAROLINE LESSIO; GONZAGA, LUIZ, JR.; VERONEZ, MAURICIO ROBERTO. Interactive Fracture Segmentation Based on Optimum Connectivity Between Superpixels. IEEE Geoscience and Remote Sensing Letters, v. 19, p. 5-pg., 2022-01-01. (14/12236-1)

VARGAS-MUNOZ, JOHN E.; SRIVASTAVA, SHIVANGI; TUIA, DEVIS; FALCAO, ALEXANDRE X.. OpenStreetMap: Challenges and Opportunities in Machine Learning and Remote Sensing. IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE, v. 9, n. 1, p. 16-pg., 2021-03-01. (16/14760-5, 14/12236-1)

CARNEIRO, SARAH ALMEIDA; DA SILVA, GABRIEL PELLEGRINO; GUIMARAES, SILVIO JAMIL F.; PEDRINI, HELIO; IEEE. Fight Detection in Video Sequences Based on Multi-Stream Convolutional Neural Networks. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (17/12646-3, 14/12236-1)

SOUZA, LUIS A., JR.; AFONSO, LUIS C. S.; PALM, CHRISTOPH; PAPA, JOAO P.; IEEE. Barrett's Esophagus Identification Using Optimum-Path Forest. 2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 7-pg., 2017-01-01. (16/19403-6, 14/12236-1)

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)

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)

BENATO, BARBARA C.; TELEA, ALEXANDRA C.; FALCAO, ALEXANDRE X.; IEEE COMP SOC. Iterative Pseudo-Labeling with Deep Feature Annotation and Confidence-Based Sampling. 2021 34TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2021), v. N/A, p. 7-pg., 2021-01-01. (19/10705-8, 14/12236-1)

VARGAS MUNOZ, JAVIER A.; DIAS, ZANONI; TORRES, RICARDO DA SILVA. A genetic programming approach for searching on nearest neighbors graphs. MULTIMEDIA TOOLS AND APPLICATIONS, v. 81, n. 16, p. 24-pg., 2022-03-18. (14/12236-1, 17/20945-0, 13/50155-0, 13/50169-1, 17/12646-3, 15/11937-9, 16/50250-1, 15/24494-8, 17/16246-0, 14/50715-9)

MOREIRA TAVARES, ANDERSON CARLOS; CCACYAHUILLCA BEJAR, HANS HARLEY; VECHIATTO MIRANDA, PAULO ANDRE; ANGULO, J; VELASCOFORERO, S; MEYER, F. Seed Robustness of Oriented Image Foresting Transform: Core Computation and the Robustness Coefficient. MATHEMATICAL MORPHOLOGY AND ITS APPLICATIONS TO SIGNAL AND IMAGE PROCESSING (ISMM 2017), v. 10225, p. 12-pg., 2017-01-01. (14/12236-1, 11/50761-2)

SOUZA, GUSTAVO B.; SANTOS, DANIEL F. S.; PIRES, RAFAEL G.; PAPA, JOAO P.; MARANA, APARECIDO N.; IEEE. Efficient Width-Extended Convolutional Neural Network for Robust Face Spoofing Detection. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2018-01-01. (14/12236-1, 17/05522-6)

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)

PEREIRA, TALITA A.; POPIM, REGINA C.; PASSOS, LEANDRO A.; PEREIRA, DANILLO R.; PEREIRA, CLAYTON R.; PAPA, JOAO P.; IEEE. ComplexWoundDB: A Database for Automatic Complex Wound Tissue Categorization. 2022 29TH INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP), v. N/A, p. 4-pg., 2022-01-01. (19/07665-4, 13/07375-0, 14/12236-1)

DOURADO, ICARO CAVALCANTE; TABBONE, SALVATORE; TORRES, RICARDO DA SILVA; CONTE, D; RAMEL, JY; FOGGIA, P. Event Prediction Based on Unsupervised Graph-Based Rank-Fusion Models. GRAPH-BASED REPRESENTATIONS IN PATTERN RECOGNITION, GBRPR 2019, v. 11510, p. 11-pg., 2019-01-01. (17/20945-0, 14/50715-9, 14/12236-1, 16/50250-1, 13/50155-0, 15/24494-8)

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)

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)

DE SOUZA, GUSTAVO BOTELHO; PAPA, JOAO PAULO; MARANA, APARECIDO NILCEU; IEEE. On the Learning of Deep Local Features for Robust Face Spoofing Detection. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2018-01-01. (14/12236-1, 17/05522-6, 16/19403-6)

AMORIM, PAULO; MORAES, THIAGO; SILVA, JORGE; PEDRINI, HELIO; TREMEAU, A; IMAI, F; BRAZ, J. 3D Adaptive Histogram Equalization Method for Medical Volumes. VISAPP: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS - VOL 4: VISAPP, v. N/A, p. 8-pg., 2018-01-01. (17/12646-3, 14/12236-1, 13/07559-3)

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PASSOS, L. A.; PAPA, J. P.; IEEE. Fine-Tuning Infinity Restricted Boltzmann Machines. 2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2017-01-01. (14/12236-1, 16/19403-6)

DE SOUZA, GUSTAVO B.; SANTOS, DANIEL F. S.; PIRES, RAFAEL G.; MARANA, APARECIDO N.; PAPA, JOAO P.; GARCIAGONCALVES, LM; BESERRAGOMES, R. A Restricted Boltzmann Machine-Based Approach for Robust Dimensionality Reduction. 2017 WORKSHOP OF COMPUTER VISION (WVC), v. N/A, p. 6-pg., 2017-01-01. (14/12236-1, 17/05522-6)

MUSSEL CIRNE, MARCOS VINICIUS; PEDRINI, HELIO; IEEE. Gender Recognition from Face Images Using a Geometric Descriptor. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), v. N/A, p. 6-pg., 2017-01-01. (14/12236-1)

DA SILVA CIESLAK, LUIZ FERNANDO; PONTARA DA COSTA, KELTON AUGUSTO; PAPA, JOAO PAULO; IEEE. Seam Carving Detection Using Convolutional Neural Networks. 2018 IEEE 12TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI), v. N/A, p. 5-pg., 2018-01-01. (13/07375-0, 14/12236-1, 16/25687-7, 16/19403-6)

SOUSA E SANTOS, ANDERSON CARLOS; PEDRINI, HELIO; IEEE. Shot Boundary Detection for Video Temporal Segmentation based on the Weber Local Descriptor. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), v. N/A, p. 6-pg., 2017-01-01. (14/12236-1)

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)

AFONSO, LUIS C. S.; PEDRONETTE, DANIEL C. G.; DE SOUZA, ANDRE N.; PAPA, JOAO P.; IEEE. Improving Optimum-Path Forest Classification Using Unsupervised Manifold Learning. 2018 24TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 6-pg., 2018-01-01. (14/12236-1, 13/07375-0, 17/22905-6, 13/08645-0, 17/02286-0, 16/19403-6)

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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)

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BELEM, FELIPE; MELO, LEONARDO; GUIMARAES, SILVIO; FALCAO, ALEXANDRE; IEEE. The Importance of Object-based Seed Sampling for Superpixel Segmentation. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (14/12236-1)

GUTIERREZ-CASTILLA, NICOLAS; TORRES, RICARDO DA S.; FALCAO, ALEXANDRE X.; KOZERKE, SEBASTIAN; SCHWITTER, JURG; MASCI, PIER-GIORGIO; MONTOYA-ZEGARRA, JAVIER A.; IEEE. Long-Range Decoder Skip Connections: Exploiting Multi-Context Information for Cardiac Image Segmentation. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2019-01-01. (14/12236-1, 16/50250-1, 17/20945-0, 15/24494-8, 13/50155-0)

GONCALVES DO SANTOS, CLAUDIO FILIPI; COLOMBO, DANILO; RODER, MATEUS; PAPA, JOAO PAULO; IEEE COMP SOC. MaxDropout: Deep Neural Network Regularization Based on Maximum Output Values. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 6-pg., 2021-01-01. (14/12236-1, 19/07825-1, 13/07375-0, 17/25908-6)

SANTOS, DANIEL F. S.; PIRES, RAFAEL G.; COLOMBO, DANILO; PAP, JOAO P.; IEEE. Scene Change Detection Using Multiscale Cascade Residual Convolutional Neural Networks. 2020 33RD SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2020), v. N/A, p. 8-pg., 2020-01-01. (13/07375-0, 14/12236-1)

FONTINELE, JEFFERSON; MENDONCA, MARCELO; RUIZ, MARCO; PAPA, JOAO; OLIVEIRA, LUCIANO; IEEE. Faster alpha-expansion via dynamic programming and image partitioning. 2020 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., 2020-01-01. (13/07375-0, 14/12236-1, 17/25908-6)

CAMACHO PRESOTTO, JOAO GABRIEL; VALEM, LUCAS PASCOTTI; DE SA, NIKOLAS GOMES; GUIMARAES PEDRONETTE, DANIEL CARLOS; PAPA, JOAO PAULO; IEEE COMP SOC. Weakly Supervised Learning through Rank-based Contextual Measures. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 8-pg., 2021-01-01. (14/12236-1, 19/11104-8, 18/15597-6, 19/04754-6, 20/11366-0)

BELEM, FELIPE C.; PERRET, BENJAMIN; COUSTY, JEAN; GUIMARAES, SILVIO J. F.; FALCAO, ALEXANDRE X.; IEEE COMP SOC. Towards a Simple and Efficient Object-based Superpixel Delineation Framework. 2021 34TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2021), v. N/A, p. 8-pg., 2021-01-01. (14/12236-1)

SILVA, ILAN F.; SOUSA, AZAEL M.; FALCAO, ALEXANDRE X.; BRAGANTINI, JORDAO; IEEE. Differential Dynamic Trees for Interactive Image Segmentation. 2022 26TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 7-pg., 2022-01-01. (14/12236-1, 21/05704-2, 13/07559-3)

AFONSO, LUIS C. S.; PEREIRA, CLAYTON R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; FALCAO, ALEXANDRE X.; PAPA, JOAO P.. Hierarchical learning using deep optimum-path forest. JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION, v. 71, p. 11-pg., 2020-08-01. (13/07375-0, 14/12236-1, 19/07665-4)

PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO. A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. APPLIED SOFT COMPUTING, v. 97, p. 12-pg., 2020-12-01. (13/07375-0, 16/19403-6, 14/12236-1)

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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)

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)

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)

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PRETO, SANDRO; FINGER, MARCELO. Efficient representation of piecewise linear functions into Lukasiewicz logic modulo satisfiability. MATHEMATICAL STRUCTURES IN COMPUTER SCIENCE, v. N/A, p. 26-pg., 2022-05-17. (21/03117-2, 14/12236-1, 19/07665-4, 15/21880-4)

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SALVATORE, FELIPE DE SOUZA; FINGER, MARCELO; HIRATA JR, ROBERTO; PATRIOTA, ALEXANDRE G.. A resampling-based method to evaluate NLI models. NATURAL LANGUAGE ENGINEERING, v. N/A, p. 28-pg., 2023-06-09. (15/24485-9, 14/12236-1, 19/07665-4, 15/21880-4, 18/21934-5, 15/22308-2)

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CASTELO-FERNANDEZ, CESAR; FALCAO, ALEXANDRE X.; DEGIACOMO, G; CATALA, A; DILKINA, B; MILANO, M; BARRO, S; BUGARIN, A; LANG, J. Improving Supervised Superpixel-Based Codebook Representations by Local Convolutional Features. ECAI 2020: 24TH EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE, v. 325, p. 8-pg., 2020-01-01. (14/12236-1)

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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)

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)

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)

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)

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)

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)

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)

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)

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)

RODER, MATEUS; DE ROSA, GUSTAVO HENRIQUE; PAPA, JOAO PAULO; BREVE, FABRICIO APARECIDO; IEEE. Fine-Tuning Temperatures in Restricted Boltzmann Machines Using Meta-Heuristic Optimization. 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), v. N/A, p. 8-pg., 2020-01-01. (19/02205-5, 17/25908-6, 19/07825-1, 13/07375-0, 14/12236-1)

RODER, MATEUS; DE ROSA, GUSTAVO HENRIQUE; PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO; DEBIASO ROSSI, ANDRE LUIS; IEEE. Harnessing Particle Swarm Optimization Through Relativistic Velocity. 2020 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), v. N/A, p. 8-pg., 2020-01-01. (19/02205-5, 17/25908-6, 19/07825-1, 13/07375-0, 19/07665-4, 14/12236-1)

PRAMANIK, RISHAV; BISWAS, MOMOJIT; SEN, SHIBAPRASAD; JUNIOR, LUIS ANTONIO DE SOUZA; PAPA, JOAO PAULO; SARKAR, RAM. A fuzzy distance-based ensemble of deep models for cervical cancer detection. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 219, p. 11-pg., 2022-06-01. (19/07665-4, 14/12236-1, 13/07375-0)

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)

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)

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)

FINGER, MARCELO; PRETO, SANDRO. Probably Partially True: Satisfiability for Lukasiewicz Infinitely-Valued Probabilistic Logic and Related Topics. JOURNAL OF AUTOMATED REASONING, v. 64, n. 7, p. 18-pg., 2020-06-06. (14/12236-1, 15/21880-4)

GARCIA, RAFAEL; FALCAO, ALEXANDRE XAVIER; TELEA, ALEXANDRU C.; DA SILVA, BRUNO CASTRO; TORRESEN, JIM; DIHL COMBA, JOAO LUIZ; IEEE. A Methodology for Neural Network Architectural Tuning Using Activation Occurrence Maps. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 10-pg., 2019-01-01. (14/12236-1)

DE ROSA, GUSTAVO H.; RODER, MATEUS; PAPA, JOAO PAULO; DOS SANTOS, CLAUDIO F. G.; IEEE. Improving Pre-Trained Weights through Meta-Heuristics Fine-Tuning. 2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), v. N/A, p. 8-pg., 2021-01-01. (13/07375-0, 19/07665-4, 14/12236-1, 19/02205-5, 20/12101-0)

GONCALVES DOS SANTOS, CLAUDIO FILIPI; RODER, MATEUS; PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO; PINHO, AJ; GEORGIEVA, P; TEIXEIRA, LF; SANCHEZ, JA. MaxDropoutV2: An Improved Method to Drop Out Neurons in Convolutional Neural Networks. PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), v. 13256, p. 12-pg., 2022-01-01. (13/07375-0, 14/12236-1, 19/07665-4)

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)

FERREIRA, ALVARO R., JR.; DE ROSA, GUSTAVO H.; PAPA, JOAO P.; CARNEIRO, GUSTAVO; FARIA, FABIO A.; IEEE COMP SOC. Creating Classifier Ensembles through Meta-heuristic Algorithms for Aerial Scene Classification. 2020 25TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION (ICPR), v. N/A, p. 8-pg., 2021-01-01. (14/12236-1, 18/23908-1, 17/25908-6, 19/07665-4, 19/02205-5)

RODRIGUES, RAFAEL B. M.; PRIVATTO, PEDRO I. M.; DE SOUSA, GUSTAVO JOSE; MURARI, RAFAEL P.; AFONSO, LUIS C. S.; PAPA, JOAO P.; PEDRONETTE, DANIEL C. G.; GUILHERME, IVAN R.; PERROUT, STEPHAN R.; RIENTE, ALIEL F.; et al. PetroBERT: A Domain Adaptation Language Model for Oil and Gas Applications in Portuguese. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 9-pg., 2022-01-01. (14/12236-1, 18/15597-6, 19/07665-4, 13/07375-0)

DE SOUZA, ITALOS ESTILON; BENATO, BARBARA C.; FALCAO, ALEXANDRE XAVIER; IEEE. Feature Learning from Image Markers for Object Delineation. 2020 33RD SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2020), v. N/A, p. 8-pg., 2020-01-01. (14/12236-1, 19/10705-8)

MONTERO, ADAN ECHEMENDIA; FALCAO, ALEXANDRE XAVIER; IEEE. A Divide-and-Conquer Clustering Approach based on Optimum-Path Forest. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2018-01-01. (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)

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)

ALYASSERI, ZAID ABDI ALKAREEM; KHADER, AHAMAD TAJUDIN; AL-BETAR, MOHAMMED AZMI; PAPA, JOAO P.; ALOMARI, OSAMA AHMAD; IEEE. EEG-based Person Authentication Using Multi-objective Flower Pollination Algorithm. 2018 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION (CEC), v. N/A, p. 8-pg., 2018-01-01. (13/07375-0, 16/19403-6, 14/12236-1)

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)

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)

ROSA, G. H.; PAPA, J. P.; PAPA, L. P.; OCHOA, G. Feature Selection Using Geometric Semantic Genetic Programming. PROCEEDINGS OF THE 2017 GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE COMPANION (GECCO'17 COMPANION), v. N/A, p. 2-pg., 2017-01-01. (14/12236-1, 15/25739-4)

AFONSO, LUIS C. S.; PEREIRA, CLAYTON R.; WEBER, SILKE A. T.; HOOK, CHRISTIAN; PAPA, JOAO P.; IEEE. Parkinson's Disease Identification Through Deep Optimum-Path Forest Clustering. 2017 30TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 7-pg., 2017-01-01. (14/12236-1, 16/19403-6)

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)

CIRNE, MARCOS VINICIUS MUSSEL; PEDRINI, HELIO; IEEE. Video Summarization Method Based on the Weber Local Descriptor. 2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), v. N/A, p. 6-pg., 2017-01-01. (14/12236-1)

PASSOS, LEANDRO APARECIDO; SANTANA, MARCOS CLEISON; MOREIRA, THIERRY; PAPA, JOAO PAULO; IEEE. kappa-Entropy Based Restricted Boltzmann Machines. 2019 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 8-pg., 2019-01-01. (13/07375-0, 14/12236-1, 16/06441-7)

PEIXINHO, ALAN Z.; BENATO, BARBARA C.; NONATO, LUIS G.; FALCAO, ALEXANDRE X.; IEEE. Delaunay Triangulation Data Augmentation guided by Visual Analytics for Deep Learning. PROCEEDINGS 2018 31ST SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., 2018-01-01. (14/12236-1, 16/25776-0)

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, p. 14-pg., 2020-03-27. (14/12236-1, 16/21591-5)

RIBEIRO, LUIZ C. F.; DE ROSA, GUSTAVO H.; RODRIGUES, DOUGLAS; PAPA, JOAO P.. Convolutional neural networks ensembles through single-iteration optimization. SOFT COMPUTING, v. 26, n. 8, p. 12-pg., 2022-01-29. (14/12236-1, 19/07665-4, 13/07375-0, 17/25908-6, 19/02205-5, 18/21934-5)

GARCIA, GABRIEL L.; AFONSO, LUIS C. S.; PAPA, JOAO P.; PINHEIRO, V; GAMALLO, P; AMARO, R; SCARTON, C; BATISTA, F; SILVA, D; MAGRO, C; et al. FakeRecogna: A New Brazilian Corpus for Fake News Detection. COMPUTATIONAL PROCESSING OF THE PORTUGUESE LANGUAGE, PROPOR 2022, v. 13208, p. 11-pg., 2022-01-01. (13/07375-0, 14/12236-1, 19/07665-4)

HERNANDES JR, PAULO R. GALEGO; FLORET, CAMILA P.; DE ALMEIDA, KATIA F. CARDOZO; DA SILVA, VINICIUS CAMARGO; PAPA, JOSO PAULO; DA COSTA, KELTON A. PONTARA; IEEE. Phishing Detection Using URL-based XAI Techniques. 2021 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (IEEE SSCI 2021), v. N/A, p. 6-pg., 2021-01-01. (14/12236-1)

MOREIRA, THIERRY P.; SANTANA, MARCOS CLEISON S.; PASSOS, LEANDRO A.; PAPA, JOAO PAULO; DA COSTA, KELTON AUGUSTO P.; PINHO, AJ; GEORGIEVA, P; TEIXEIRA, LF; SANCHEZ, JA. An End-to-End Approach for Seam Carving Detection Using Deep Neural Networks. PATTERN RECOGNITION AND IMAGE ANALYSIS (IBPRIA 2022), v. 13256, p. 11-pg., 2022-01-01. (21/05516-1, 14/12236-1, 19/07665-4, 13/07375-0)

PASSOS, LEANDRO A.; PAPA, JOAO PAULO; HUSSAIN, AMIR; ADEEL, AHSAN. Canonical cortical graph neural networks and its application for speech enhancement in audio-visual hearing aids. Neurocomputing, v. 527, p. 8-pg., 2023-01-20. (14/12236-1, 19/07665-4, 13/07375-0, 17/02286-0, 19/18287-0, 18/21934-5)

HERNANDEZ ALBARRACIN, JUAN F.; FERREIRA, EDEMIR, JR.; DOS SANTOS, JEFERSSON A.; TORRES, RICARDO DA S.; IEEE. FUSION OF GENETIC-PROGRAMMING-BASED INDICES IN HYPERSPECTRAL IMAGE CLASSIFICATION TASKS. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), v. N/A, p. 4-pg., 2017-01-01. (13/50169-1, 13/50155-0, 14/12236-1, 14/50715-9)

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)

SOUZA, MARCOS R.; PEDRINI, HELIO. Digital video stabilization based on adaptive camera trajectory smoothing. EURASIP JOURNAL ON IMAGE AND VIDEO PROCESSING, v. N/A, p. 11-pg., 2018-05-30. (14/12236-1, 17/12646-3)

ALYASSERI, ZAID ABDI ALKAREEM; KHADER, AHAMAD TAJUDIN; AL-BETAR, MOHAMMED AZMI; PAPA, JOAO P.; ALOMARI, OSAMA AHMAD; MAKHADME, SHARIF NASER; IEEE. An efficient optimization technique of EEG decomposition for user authentication system. 2018 2ND INTERNATIONAL CONFERENCE ON BIOSIGNAL ANALYSIS, PROCESSING AND SYSTEMS (ICBAPS 2018), v. N/A, p. 6-pg., 2018-01-01. (13/07375-0, 16/19403-6, 14/12236-1)

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)

VARGAS-MUNOZ, JOHN E.; ZHOU, PING; FALCAO, ALEXANDRE X.; TUIA, DEVIS; IEEE. INTERACTIVE COCONUT TREE ANNOTATION USING FEATURE SPACE PROJECTIONS. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), v. N/A, p. 4-pg., 2019-01-01. (16/14760-5, 14/12236-1)

TAVARES, EDUARDO A.; TORRES, RICARDO DA S.; DOS SANTOS, JEFERSSON A.; IEEE. EVALUATING DEEP CONTEXTUAL DESCRIPTION OF SUPERPIXELS FOR DETECTION IN AERIAL IMAGES. 2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019), v. N/A, p. 4-pg., 2019-01-01. (13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

MARTINS, GUILHERME BRANDAO; PAPA, JOAO PAULO; DECARVALHO, BM; GONCALVES, LMG. How to proper initialize Gaussian Mixture Models with Optimum-Path Forest. 2022 35TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2022), v. N/A, p. 6-pg., 2022-01-01. (13/07375-0, 14/12236-1, 19/07665-4)

PHELLAN, RENZO; LINDER, THOMAS; HELLE, MICHAEL; FALCAO, ALEXANDRE X.; FORKERT, NILS D.; IEEE. ROBUST CEREBROVASCULAR SEGMENTATION IN 4D ASL MRA IMAGES. 2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018), v. N/A, p. 4-pg., 2018-01-01. (14/12236-1)

CERQUEIRA, MATHEUS A.; SPRENGER, FLAVIA; TEIXEIRA, BERNARDO C. A.; FALCAO, ALEXANDRE X.; BRIEVA, J; GUEVARA, P; LEPORE, N; LINGURARU, MG; RITTNER, L; CASTRO, ER. Building Brain Tumor Segmentation Networks with User-Assisted Filter Estimation and Selection. 18TH INTERNATIONAL SYMPOSIUM ON MEDICAL INFORMATION PROCESSING AND ANALYSIS, v. 12567, p. 10-pg., 2023-01-01. (14/12236-1)

GOMES, LUIZ; TORRES, RICARDO DA SILVA; CORTES, MARIO LUCIO. BERT- and TF-IDF-based feature extraction for long-lived bug prediction in FLOSS: A comparative study. INFORMATION AND SOFTWARE TECHNOLOGY, v. 160, p. 12-pg., 2023-04-20. (13/50155-0, 14/12236-1, 16/50250-1, 15/24494-8, 14/50715-9, 17/20945-0)

MARTINS, SAMUEL B.; FALCAO, ALEXANDRE X.; TELEA, ALEXANDRU C.; SOARES, F; FRED, A; GAMBOA, H. BADRESC: Brain Anomaly Detection based on Registration Errors and Supervoxel Classification. BIODEVICES: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 1: BIODEVICES, 2020, v. N/A, p. 8-pg., 2020-01-01. (14/12236-1)

DE MELO E SOUSA, AZAEL; FALCAO, ALEXANDRE XAVIER; BAGATIN, ERICSON; MEIRELLES, GUSTAVO SOUZA; ANGELINI, ED; LANDMAN, BA. A Computational Method to Aid the Detection and Annotation of Pleural Lesions in CT Images of the Thorax. MEDICAL IMAGING 2019: IMAGE PROCESSING, v. 10949, p. 8-pg., 2019-01-01. (14/12236-1)

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. N/A, p. 11-pg., 2019-09-11. (13/07559-3, 18/08951-8, 14/12236-1)

MARTINS, SAMUEL BOTTER; BENATO, BARBARA CAROLINE; SILVA, BRUNA FERREIRA; YASUDA, CLARISSA LYN; FALCAO, ALEXANDRE XAVIER; MORI, K; HAHN, HK. Modeling Normal Brain Asymmetry in MR Images Applied to Anomaly Detection without Segmentation and Data Annotation. MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS, v. 10950, p. 10-pg., 2019-01-01. (14/12236-1, 13/07559-3, 16/25776-0, 15/10369-7)

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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)

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