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AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction?

Grant number: 14/12236-1
Support type:Research Projects - Thematic Grants
Duration: February 01, 2017 - January 31, 2023
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal researcher:Alexandre Xavier Falcão
Grantee:Alexandre Xavier Falcão
Home Institution: Instituto de Computação (IC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Pesquisadores principais:
( Atuais )
Jancarlo Ferreira Gomes ; João Paulo Papa ; Katia Denise Saraiva Bresciani ; Marcelo Finger
Pesquisadores principais:
( Anteriores )
Luis Gustavo Nonato
Assoc. researchers:Hélio Pedrini ; Jancarlo Ferreira Gomes ; Paulo André Vechiatto de Miranda ; Pedro Jussieu de Rezende ; Priscila Tiemi Maeda Saito ; Ricardo da Silva Torres
Associated grant(s):19/08759-2 - Efficient algorithms for max-norm optimization in image analysis and computer vision, AP.R SPRINT
20/06443-5 - Spira: system for early-detection of respiratory insufficiency by voice audio analysis, AP.R
19/17096-7 - Criptosporidium spp.: image analysis, molecular and intestinal microbiome, AV.EXT
+ associated grants 19/06533-7 - Adversarial learning for computer-assisted cancer diagnosis, AP.R SPRINT
19/17094-4 - 2019 IEEE International Conference on Image Processing, AR.EXT
19/00585-5 - Evolutionary Generative Adversarial Networks applied to computer-assisted diabetic retinopathy diagnosis, 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 - associated grants
Associated scholarship(s):22/07877-4 - Incorporating contrastive learning in image segmentation by dynamic trees, BP.IC
21/08870-0 - Graphical tool for the interactive design of marker-based convolutional neural networks, BP.TT
21/08720-9 - Automated Diagnosis of Intestinal Parasites, BP.TT
+ associated scholarships 21/05704-2 - Semi-automatic segmentation of thoracic structures in computed tomography scans, BP.IC
21/06545-5 - Interactive image selection for user annotation aided by the feature space projection, BP.IC
20/16092-5 - Fine-tuning prototypical neural networks using metaheurístics, BP.IC
19/10705-8 - Visual Active Learning guided by Feature Projections, BP.DR
19/11349-0 - Image segmentation based on dynamic trees and neural networks, BP.IC
19/02205-5 - Adversarial learning in natural language processing, BP.DR
18/21204-7 - Diagnosis of Cryptosporidium spp. by automated image analysis, BP.MS
17/04847-9 - Barrett's Esophagus Assisted Diagnosis Using Machine Learning, BP.DR
18/19245-7 - Development and Validation of a New Laboratory Tool for the Remote Computerized Image-Based Diagnosis of Skin Lesions Caused by Leishmania spp., BP.PD
18/10100-6 - Hyperparameter fine-tuning in long short-term memory nets using genetic programming, BP.IC
18/10706-1 - Hyperparameter learning in restricted Boltzmann machines using genetic programming, BP.IC
18/08951-8 - PyIFT: image processing using image foresting transform in Python, BP.IC
18/01693-3 - Diagnosis of Cryptosporidium spp. by automated image analysis, BP.TT
17/10537-2 - PyOPF: pattern classification based on Optimum-Path Forest on Python, BP.IC
17/09160-1 - Human Action Recognition in Videos, BP.DR
17/03940-5 - Interactive Learning of Visual Dictionaries Applied to Image Classification, BP.DR
17/12974-0 - Multidimensional data visualization guided by machine learning, BP.PD
17/14189-9 - Automated diagnosis of gastrointestinal parasite images of dogs and cats , BP.PD
17/02073-6 - Network model for crime forecasting, BP.DR
16/25776-0 - Autoencoders neural networks optimization by visual analytics data, BP.MS - associated scholarships

Abstract

In many areas of the Sciences and Engineering, images provide important information about real problems and the assignment by a machine of one or multiple labels per image (annotation) leads to a decision about the problem. However, the machine learning process requires the manual isolation and identification (label assignment) of the content of interest, named sample, in training images. As unlabeled images and samples per image grow large in number, their manual annotation becomes infeasible, leading us to the following research questions: What is the most intuitive way specialists can teach machines to annotate images? What are the tasks and challenges involved in this process? How to minimize human effort with maximum efficacy in machine learning? What can machines and specialists learn from their interaction? This thematic project aims at finding answers to these questions by the study and development of methods for image annotation in large scale, and the construction of decision-making systems (with no user participation) and decision-support systems, wheremachines and specialists cooperate with and learn from each other continuously. The methodology exploits the complementary skills of humans, better in knowledge abstraction, and machines, superior in large scale data processing, in a repetitive way and free of fatigue. The project divides the problem into two steps: sample extraction and interactive machine learning, in view of building a sequence of operations for automated annotation of new images or annotation with minimum user intervention. The study searches to combine image features learned from the data with features that derive from the knowledge of the specialists about the application. The project still aims at technological and scientific innovations for the diagnosis of gastrintestinal parasites in humans and vertebrate animals, by the automated acquisition and annotation of optical microscopy images, and to demonstrate the extension of the methods to other application domains, the project includes studies of medical image annotation using multi-object shape models and interactive annotation of remote sensing images. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications (117)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
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, . (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, . (14/50715-9, 16/50250-1, 13/50169-1, 14/12236-1, 17/20945-0, 13/50155-0, 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, . (13/50155-0, 15/19222-9, 14/12236-1, 13/50169-1, 16/18429-1)
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, . (14/12236-1, 13/50155-0, 15/24494-8, 14/50715-9)
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, . (14/12236-1, 13/07375-0, 16/19403-6)
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, . (14/12236-1, 15/12228-1)
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)
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, . (14/12236-1, 19/07665-4, 13/07375-0, 19/08605-5, 17/04847-9)
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)
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, . (14/12236-1, 13/07375-0, 15/25739-4, 16/19403-6)
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)
PASSOS, JR., LEANDRO APARECIDO; PAPA, JOAO PAULO. Temperature-Based Deep Boltzmann Machines. NEURAL PROCESSING LETTERS, v. 48, n. 1, p. 95-107, . (14/12236-1, 16/19403-6, 14/16250-9)
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, . (17/02286-0, 14/12236-1, 13/07375-0, 13/08645-0, 17/22905-6, 16/19403-6)
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, . (14/12236-1, 16/19403-6, 13/07375-0)
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, . (14/12236-1, 16/19403-6, 13/07375-0, 14/16250-9)
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, . (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, . (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, . (14/12236-1)
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, . (14/12236-1, 17/25908-6, 13/07375-0, 18/21934-5, 16/19403-6)
ROBERTO E SOUZA, MARCOS; PEDRINI, HELIO. Motion energy image for evaluation of video stabilization. VISUAL COMPUTER, v. 35, n. 12, p. 1769-1781, . (17/12646-3, 14/12236-1)
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, . (13/50155-0, 14/12236-1, 12/16172-2, 13/50169-1, 13/11378-4, 16/18429-1, 12/50468-6)
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, . (13/50155-0, 14/12236-1, 13/50169-1, 14/50715-9, 15/02105-0)
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, . (14/16250-9, 13/20387-7, 14/12236-1)
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, . (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, . (16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 13/50169-1, 14/50715-9, 17/20945-0, 17/12646-3)
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, . (14/12236-1, 15/25739-4, 13/07375-0, 14/16250-9, 10/15566-1, 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, . (17/02286-0, 14/12236-1, 13/07375-0, 14/16250-9, 16/19403-6)
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)
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, . (13/50155-0, 14/12236-1, 13/50169-1, 14/50715-9, 17/12646-3, 15/02105-0, 18/06918-3, 16/26170-8)
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)
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, . (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, . (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.; 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)
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)
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, . (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)
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)
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)
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)
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)
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, . (16/50250-1, 13/50155-0, 15/24494-8, 14/12236-1, 14/50715-9, 17/20945-0)
FADEL, SAMUEL G.; TORRES, RICARDO DA S.. Neural relational inference for disaster multimedia retrieval. MULTIMEDIA TOOLS AND APPLICATIONS, v. 79, n. 35-36, . (14/50715-9, 16/50250-1, 17/24005-2, 17/20945-0, 14/12236-1, 13/50169-1, 13/50155-0, 15/24494-8)
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)
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, . (15/24494-8, 19/17729-0, 19/16253-1, 14/12236-1, 16/50250-1, 17/20945-0, 19/22262-3)
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, . (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, . (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, . (14/12236-1, 16/21591-5)
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)
PASSOS, LEANDRO APARECIDO; PAPA, JOAO PAULO. A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines. APPLIED SOFT COMPUTING, v. 97, n. B, . (14/12236-1, 16/19403-6, 13/07375-0)
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