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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
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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
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21/08720-9 - Diagnóstico Automatizado de Parasitos Intestinais, BP.TT
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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
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18/21204-7 - Diagnóstico do protozoário Cryptosporidium spp., por meio de análise automatizada de imagens, BP.MS
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18/10100-6 - Ajuste de hiperparâmetros em redes de memória de longo prazo utilizando programação genética, BP.IC
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18/08951-8 - PyIFT: processamento de imagem usando a transformada imagem-floresta em Python, BP.IC
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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
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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)

Matéria(s) publicada(s) na Agência FAPESP sobre o auxílio:
Matéria(s) publicada(s) em Outras Mídias (0 total):
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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, . (14/12236-1, 16/14760-5)
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, . (14/12236-1)
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, . (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, . (16/18429-1, 12/50468-6, 13/11378-4, 13/50155-0, 14/12236-1, 12/16172-2, 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, . (13/07375-0, 17/25908-6, 18/21934-5, 16/19403-6, 14/12236-1)
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, . (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)
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, . (14/12236-1, 19/07665-4, 18/21934-5, 17/02286-0, 13/07375-0)
PASSOS, LEANDRO APARECIDO S.; JODAS, DANILO S.; RIBEIRO, LUIZ C. F.; AKIO, MARCO; DE SOUZA, ANDRE NUNES; PAPA, JOAO PAULO. Handling imbalanced datasets through Optimum-Path Forest. KNOWLEDGE-BASED SYSTEMS, v. 242, p. 13-pg., . (18/21934-5, 14/12236-1, 20/12101-0, 19/18287-0, 19/07665-4, 17/02286-0, 13/07375-0)
SILVA, LUCAS F. A.; PEDRONETTE, DANIEL C. G.; FARIA, FABIO A.; PAPA, JOAO P.; ALMEIDA, JURANDY; IEEE COMP SOC. Improving Transferability of Domain Adaptation Networks Through Domain Alignment Layers. 2021 34TH SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI 2021), v. N/A, p. 8-pg., . (14/12236-1, 18/15597-6, 17/25908-6, 19/07665-4, 13/07375-0)
KUPSSINSKU, L. S.; GUIMARAES, T. T.; CARDOSO, M. D B.; BACHI, L.; ZANOTTA, D.; ESTILON DE SOUZA, I; FALCAO, A. X.; VELLOSO, R. Q.; CAZARIN, C. L.; VERONEZ, M. R.; et al. Hyperspectral data as a proxy for porosity estimation of carbonate rocks. AUSTRALIAN JOURNAL OF EARTH SCIENCES, v. 69, n. 6, p. 15-pg., . (14/12236-1)
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, . (13/50169-1, 16/50250-1, 15/24494-8, 17/20945-0, 13/50155-0, 14/50715-9, 14/12236-1)
BRAZ, CAIO DE MORAES; MIRANDA, PAULO A., V; CIESIELSKI, KRZYSZTOF CHRIS; CAPPABIANCO, FABIO A. M.; COUPRIE, M; COUSTY, J; KENMOCHI, Y; MUSTAFA, N. Graph-Based Segmentation with Local Band Constraints. DISCRETE GEOMETRY FOR COMPUTER IMAGERY, DGCI 2019, v. 11414, p. 12-pg., . (14/12236-1, 16/21591-5)
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., . (14/12236-1)
PASSOS, LEANDRO A.; RODRIGUES, DOUGLAS R.; PAPA, JOAO P.; IEEE. Fine Tuning Deep Boltzmann Machines Through Meta-Heuristic Approaches. 2018 IEEE 12TH INTERNATIONAL SYMPOSIUM ON APPLIED COMPUTATIONAL INTELLIGENCE AND INFORMATICS (SACI), v. N/A, p. 6-pg., . (14/12236-1, 16/19403-6, 13/07375-0)
BRAGANTINI, JORDAO; FALCAO, ALEXANDRE X.; NAJMAN, LAURENT. Rethinking interactive image segmentation: Feature space annotation. PATTERN RECOGNITION, v. 131, p. 12-pg., . (19/21734-9, 14/12236-1, 19/11349-0)
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, . (14/12236-1, 16/21591-5)
RODRIGUES, DOUGLAS; DE ALBUQUERQUE, VICTOR HUGO C.; PAPA, JOAO PAULO. A multi-objective artificial butterfly optimization approach for feature selection. APPLIED SOFT COMPUTING, v. 94, . (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, . (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, . (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, . (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, . (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, . (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, . (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, . (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, . (16/14760-5, 14/12236-1)
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., . (21/03117-2, 14/12236-1, 19/07665-4, 15/21880-4)
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., . (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., . (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., . (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., . (16/19403-6, 14/12236-1)
PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO. A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. APPLIED SOFT COMPUTING, v. 97, p. 12-pg., . (13/07375-0, 16/19403-6, 14/12236-1)
CASANOVA, EDRESSON; CANDIDO JR, ARNALDO; FERNANDES JR, RICARDO CORSO; FINGER, MARCELO; STEFANEL GRIS, LUCAS RAFAEL; PONTI, MOACIR A.; PINTO DA SILVA, DANIEL PEIXOTO; INT SPEECH COMMUN ASSOC. Transfer Learning and Data Augmentation Techniques to the COVID-19 Identification Tasks in ComParE 2021. INTERSPEECH 2021, v. N/A, p. 5-pg., . (20/06443-5, 14/12236-1, 19/07665-4)
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, . (19/22262-3, 16/50250-1, 14/12236-1, 15/24494-8, 19/16253-1, 19/17729-0)
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, . (14/50715-9, 16/50250-1, 14/12236-1, 15/24494-8, 17/20945-0, 13/50155-0)
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, . (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, . (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, . (15/24494-8, 14/50715-9, 14/12236-1, 13/50155-0)
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, . (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, . (19/16253-1, 16/50250-1, 14/50715-9, 17/20945-0, 14/12236-1, 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, . (16/14760-5, 14/12236-1, 15/01186-6, 14/50937-1)
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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, . (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, . (13/07375-0, 14/12236-1, 16/19403-6)
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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, . (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, . (13/07375-0, 14/12236-1, 16/19403-6)
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., . (14/12236-1)

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MISTURA PARA OBTENÇÃO DE SISTEMA AQUOSO BIFÁSICO ESPECÍFICO APLICADO NA OBTENÇÃO DE ESFREGAÇO FECAL, SEU PROCESSO DE OBTENÇÃO; PROCESSO DE OBTENÇÃO DE SISTEMA AQUOSO BIFÁSICO (SAB) ESPECÍFICO E PROCESSO DE APLICAÇÃO DO SISTEMA AQUOSO BIFÁSICO (SAB) ESPECÍFICO EM EXAME PARASITOLÓGICO DE FEZES (EPF) BR102021016360-7 - Immunocamp Ciência e Tecnologia S. A ; Universidade Estadual de Campinas (UNICAMP) . Alexandre Xavier Falcão ; Jancarlo Ferreira Gomes ; Edvaldo Sabadini ; Stefany Laryssa Rosa ; Celso Tetsuo Nagase Suzuki - 18 de agosto de 2021