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Mining, indexing and visualizing Big Data in clinical decision support systems (MIVisBD)

Grant number: 16/17078-0
Support Opportunities:Research Projects - Thematic Grants
Duration: September 01, 2017 - August 31, 2024
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Principal Investigator:Agma Juci Machado Traina
Grantee:Agma Juci Machado Traina
Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
Pesquisadores principais:
Caetano Traina Junior ; Marco Antonio Gutierrez ; Paulo Mazzoncini de Azevedo Marques
Associated researchers:André Guilherme Ribeiro Balan ; Christos Faloutsos ; Eneida A. Mendonça ; Fabio Antero Pires ; Joaquim Cezar Felipe ; Joe Tekli ; José Eduardo Krieger ; José Fernando Rodrigues Júnior ; Juan P. Casas ; Marcel Koenigkam Santos ; Marcela Xavier Ribeiro ; Marcello Henrique Nogueira Barbosa ; Marina de Fátima de Sá Rebelo ; Ramon Alfredo Moreno ; Rangaraj Mandayam Rangayyan ; Renato Bueno ; Richard Chbeir ; Robson Leonardo Ferreira Cordeiro ; Sameer Antani ; Solange Oliveira Rezende ; Thomas Martin Deserno ; Umberto Tachinardi
Associated grant(s):21/05623-2 - 25th European Conference on Advances in Databases and Information Systems, AR.EXT
21/06200-8 - 25th International Conference Information Visualisation - IV2021, AR.EXT
20/07200-9 - Analyzing complex data from COVID-19 to support decision making and prognosis, AP.R
 + associated grants 19/20784-2 - III International Clinical Engineering and Health Technology Management Congress (ICEHTMC 2019), AR.EXT
19/06560-4 - 23rd International Conference Information Visualisation, AR.EXT
18/07765-6 - Computational vision and pattern recognition for radionics biomarkers identification, AV.EXT - associated grants
Associated scholarship(s):23/03462-7 - Classification and Labeling of Medical Images based on Active Learning, BP.PD
22/13190-1 - Visualization of semantic and temporal networks to support understand medical and scientific data, BP.PD
22/12374-1 - Design and Management of Large Research Databases, BP.TT
 + associated scholarships 21/09664-5 - Data integration and interpretability of electronic health records with OMOP, BP.PD
21/06564-0 - Improving the effectiveness of similarity operators in medical data by means of diversity considerations, BP.PD
21/00366-1 - Development of a metric access method with perceptual distance tuning to support similarity queries of medical images, BP.MS
21/02412-0 - Development of a platform for similarity query execution on complex data using multimetric indexing structures, BP.TT
21/00360-3 - Development of software to support similarity queries in healthcare databases, BP.TT
20/12032-8 - Database deployment and machine learning support for radiomics studies, BP.TT
20/10049-0 - Complex networks and content-based image retrieval supported by selective visual attention features, BP.PD
20/11258-2 - Interoperability and similarity queries on medical databases, BP.PD
19/04660-1 - Machine Learning Methods Consolidation for MiVisBD, BP.TT
18/19533-2 - Diagnostic, prognostic, and predictive biomarkers of lung cancer based on radiomics: investigation of deep learning techniques for precision medicine, BP.PD
17/08376-0 - Analysis and improvement of urban systems using digital maps in the form of complex networks, BP.DR
18/24414-2 - A framework for integration of feature extraction techniques and complex databases for MIVisBD, BP.TT
17/23780-2 - Content-based retrieval of medical images to aid the clinical decision using radiomics, BP.DR
18/11424-0 - Creation of a Data Warehouse infrastructure for health-based Visual Analytics, BP.TT
18/06074-0 - Recuperação de Imagens por Conteúdo Utilizando Atenção Visual Seletiva, BP.PD
18/06228-7 - Detection of patterns and anomalies in medical data using Mathematical Modeling, BP.PD
17/24407-3 - Building a database infrastructure to support studies of radiomics, BP.TT
17/21512-0 - Evaluating similarity join algorithms for data streams: case study in the analysis of financial market data, BP.IC - associated scholarships

Abstract

Today, almost every human activity generates and/or demands to store and process massive, diverse and complex data, either in scientific, academic, enterprise and even leisure pursuits - the scenario being called as the “big data era”. Health-related activities are in the core of those activities, as they produce big data as well as they can take advantage of the technological storm, improving the behavior of everyone whose decision is increasingly guided by the information extracted from all these big data. In a clinical environment, the Electronic Health Records (EHR) forms a proper anchor to develop information extraction strategies. In this proposal, we aim at integrating novel database support, image processing and visual analytics methods to leverage the large number of EHR and repositories of clinical data to gather valuable and significant information for decision-making. The size and complexity of EHR databases offer great challenges when they need to be processed in terms both of applying analysis techniques and to support the development of subsequent applications for practical tools. However, it also embodies a cornucopia of opportunities to create algorithms and methods able to display smart and relevant information related to either a particular patient or groups of patients and to boost the EHR into a more effective platform to support the healthcare professionals, coping medical applications and strategic government decisions with the demands and benefits of big data. In this project we will develop methods and algorithms that will ultimately be materialized as a modular platform to be made available to the community. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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VEICULO: TITULO (DATA)
VEICULO: TITULO (DATA)

Scientific publications (89)
(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)
GIUNTINI, FELIPE T.; CAZZOLATO, MIRELA T.; DOS REIS, MARIA DE JESUS DUTRA; CAMPBELL, ANDREW T.; TRAINA, AGMA J. M.; UEYAMA, JO. A review on recognizing depression in social networks: challenges and opportunities. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, v. 11, n. 11, SI, p. 4713-4729, . (16/17078-0, 18/17335-9, 13/07375-0, 18/24414-2)
BISPO JUNIOR, ALTAMIR GOMES; FERREIRA CORDEIRO, ROBSON LEONARDO; RODRIGUES, JMF; CARDOSO, PJS; MONTEIRO, J; LAM, R; KRZHIZHANOVSKAYA, VV; LEES, MH; DONGARRA, JJ; SLOOT, PMA. Fast and Scalable Outlier Detection with Metric Access Methods. COMPUTATIONAL SCIENCE - ICCS 2019, PT II, v. 11537, p. 15-pg., . (16/17078-0, 18/05714-5)
LINHARES, CLAUDIO D. G.; TINOCO, CLAUDINEY R.; PONCIANO, JEAN R.; OLIVEIRA, GINA M. B.; TRAVENCOLO, BRUNO A. N.; XAVIER-JUNIOR, JC; RIOS, RA. A Network-Based Visual Analytics Approach for Performance Evaluation of Swarms of Robots in the Surveillance Task. INTELLIGENT SYSTEMS, PT I, v. 13653, p. 16-pg., . (20/07200-9, 16/17078-0, 20/10049-0)
FALEIROS, MATHEUS CALIL; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; DALTO, VITOR FAEDA; FERREIRA JUNIOR, JOSE RANIERY; MAGALHAES TENORIO, ARIANE PRISCILLA; LUPPINO-ASSAD, RODRIGO; LOUZADA-JUNIOR, PAULO; RANGAYYAN, RANGARAJ MANDAYAM; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. Machine learning techniques for computer-aided classification of active inflammatory sacroiliitis in magnetic resonance imaging. ADVANCES IN RHEUMATOLOGY, v. 60, n. 1, . (16/17078-0, 18/07765-6)
SPADON, GABRIEL; BRANDOLI, BRUNO; ELER, DANILO M.; RODRIGUES-, JR., JOSE F.. Detecting multi-scale distance-based inconsistencies in cities through complex-networks. JOURNAL OF COMPUTATIONAL SCIENCE, v. 30, p. 209-222, . (17/08376-0, 16/02557-0, 16/17078-0)
CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; NESSO-JR, MARCOS R.; MILANO-OLIVEIRA, LUIS F.; COSTA, ALCEU F.; KASTER, DANIEL S.; KOENIGKAM-SANTOS, MARCEL; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; TRAINA-JR, CAETANO; TRAINA, AGMA J. M.. dp-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 173, p. 27-34, . (16/17078-0, 16/17330-1, 18/24414-2)
ZAGHIR, JAMIL; RODRIGUES-JR, JOSE F.; GOEURIOT, LORRAINE; AMER-YAHIA, SIHEM. Real-world Patient Trajectory Prediction from Clinical Notes Using Artificial Neural Networks and UMLS-Based Extraction of Concepts. JOURNAL OF HEALTHCARE INFORMATICS RESEARCH, . (18/17620-5, 16/17078-0)
LINHARES, CLAUDIO D. G.; LIMA, DANIEL M.; BONES, CHRISTIAN C.; REBELO, MARINA F. S.; GUTIERREZ, MARCO A.; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; et al. I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., . (20/07200-9, 16/17078-0, 19/04660-1, 20/10049-0)
RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; FAICAL, BRUNO S.; LINARES, OSCAR A. C.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; IEEE. Fast and smart segmentation of paraspinal muscles in magnetic resonance imaging with CleverSeg. 2019 32ND SIBGRAPI CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES (SIBGRAPI), v. N/A, p. 8-pg., . (18/24414-2, 16/17078-0, 17/23780-2, 18/06228-7)
SILVA, WELLINGTON S.; JASBICK, DANIEL L.; WILSON, RODRIGO E.; AZEVEDO-MARQUES, PAULO M.; TRAINA, AGMA J. M.; SANTOS, LUCIO F. D.; JORGE, ANA E. S.; DE OLIVEIRA, DANIEL; BEDO, MARCOS V. N.; IEEE. A Two-Phase Learning Approach for the Segmentation of Dermatological Wounds. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., . (16/17078-0)
LIMA, DANIEL M.; GRAVES, CATHARINE, V; GUTIERREZ, MARCO A.; BRANDOLI, BRUNO; RODRIGUES JR, JOSE F.; SCLAROFF, S; DISTANTE, C; LEO, M; FARINELLA, GM; TOMBARI, F. Full Motion Focus: Convolutional Module for Improved Left Ventricle Segmentation Over 4D MRI. IMAGE ANALYSIS AND PROCESSING, ICIAP 2022, PT I, v. 13231, p. 13-pg., . (16/17078-0, 18/11424-0)
RAMOS, JONATHAN S.; DE AGUIAR, ERIKSON J.; BELIZARIO, IVAR, V; COSTA, MARCUS V. L.; MACIEL, JAMILLY G.; CAZZOLATO, MIRELA T.; TRAINA, CAETANO, JR.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; SHEN, L; et al. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., . (21/02412-0, 20/11258-2, 16/17078-0, 21/11403-5, 21/00360-3, 21/08982-3, 18/04266-9)
MAGALHAES TENORIO, ARIANE PRISCILLA; FERREIRA-JUNIOR, JOSE RANIERY; DALTO, VITOR FAEDA; FALEIROS, MATHEUS CALIL; ASSAD, RODRIGO LUPPINO; LOUZADA-JUNIOR, PAULO; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; RANGAYYAN, RANGARAJ MANDAYAM; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. adiomic Quantification for MRI Assessment of Sacroiliac Joints of Patients with Spondyloarthriti. JOURNAL OF DIGITAL IMAGING, v. 35, n. 1, . (14/50889-7, 16/17078-0)
CAZZOLATO, MIRELA T.; TRAINA, AGMA J. M.; BOHM, KLEMENS. Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. INFORMATION SYSTEMS, v. 105, . (20/11258-2, 16/17078-0, 20/07200-9, 18/24414-2)
FERREIRA-JUNIOR, JOSE RANIERY; KOENIGKAM-SANTOS, MARCEL; MAGALHAES TENORIO, ARIANE PRISCILLA; FALEIROS, MATHEUS CALIL; GARCIA CIPRIANO, FEDERICO ENRIQUE; FABRO, ALEXANDRE TODOROVIC; NAPPI, JANNE; YOSHIDA, HIROYUKI; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. CT-based radiomics for prediction of histologic subtype and metastatic disease in primary malignant lung neoplasms. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v. 15, n. 1, . (14/50889-7, 16/17078-0)
SCABORA, LUCAS C.; SPADON, GABRIEL; OLIVEIRA, PAULO H.; RODRIGUES-JR, JOSE F.; TRAINA-JR, CAETANO; ACM. Enhancing recursive graph querying on RDBMS with data clustering approaches. PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), v. N/A, p. 8-pg., . (16/17078-0, 16/17330-1, 18/17620-5, 18/20360-5, 17/08376-0, 19/04461-9)
PAIVA, CLAUDIO EDUARDO; MALAQUIAS JUNIOR, ROSEVAL DONISETE; BUENO, RENATO; BANISSI, E; KHOSROW-SHAHI, F; URSYN, A; BANNATYNE, MWM; PIRES, JM; DATIA, N; NAZEMI, K; et al. Visualization of similarity queries with trajectory estimation in complex data. 2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), v. N/A, p. 6-pg., . (16/17078-0)
LESCANO, ALEXIS I. ASPAUZA; CORDEIRO, ROBSON L. F.; BELLATRECHE, L; DUMAS, M; KARRAS, P; MATULEVICIUS, R; AWAD, A; WEIDLICH, M; IVANOVIC, M; HARTIG, O. Relational Conditional Set Operations. NEW TRENDS IN DATABASE AND INFORMATION SYSTEMS, ADBIS 2021, v. 1450, p. 12-pg., . (16/17078-0)
CAZZOLATO, MIRELA T.; RAMOS, JONATHAN S.; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CHINO, DANIEL Y. T.; JORGE, ANA E. S.; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; DEHERRERA, AGS; et al. Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., . (16/17078-0, 20/07200-9, 17/23780-2, 18/24414-2, 16/17330-1)
RAMOS, JONATHAN S.; MACIEL, JAMILLY G.; CAZZOLATO, MIRELA T.; TRAINA JR, CAETANO; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; et al. BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., . (20/11258-2, 17/23780-2, 20/07200-9, 16/17078-0, 18/04266-9)
DE AGUIAR, ERIKSON J.; COSTA, MARCUS V. L.; TRAINA-, CAETANO, JR.; TRAINA, AGORA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; GONZALEZ, AR; SICILIA, R; et al. Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 4-pg., . (16/17078-0, 20/07200-9, 21/08982-3)
CAZZOLATO, MIRELA T.; GUTIERREZ, MARCO ANTONIO; TRAINA, CACTANO, JR.; FALOUTSOS, CHRISTOS; TRAINA, AGMA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; GONZALEZ, AR; et al. Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 6-pg., . (16/17078-0, 21/11403-5, 20/11258-2)
SANTOS, LUCIO F. D.; BLANCO, GUSTAVO; DE OLIVEIRA, DANIEL; TRAINA, AGMA J. M.; TRAINA, CAETANO, JR.; BEDO, MARCOS V. N.; CUZZOCREA, A; ALLAN, J; PATON, N; SRIVASTAVA, D; et al. Exploring Diversified Similarity with Kundaha. CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, v. N/A, p. 4-pg., . (16/17078-0)
RAMOS, JONATHAN S.; WATANABE, CAROLINA Y. V.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ASSOC COMP MACHINERY. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 8-pg., . (17/23780-2, 16/17078-0)
SPADON, GABRIEL; GIMENES, GABRIEL; RODRIGUES JR, JOSE F.; SHI, Y; FU, H; TIAN, Y; KRZHIZHANOVSKAYA, VV; LEES, MH; DONGARRA, J; SLOOT, PMA. Topological Street-Network Characterization Through Feature-Vector and Cluster Analysis. COMPUTATIONAL SCIENCE - ICCS 2018, PT I, v. 10860, p. 14-pg., . (16/17078-0, 17/08376-0, 14/25337-0)
CABRAL, EUGENIO F.; CORDEIRO, ROBSON L. F.; ASSOC COMP MACHINERY. Fast and Scalable Outlier Detection with Sorted Hypercubes. CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, v. N/A, p. 10-pg., . (18/05714-5, 16/17078-0)
NESSO-, MARCOS R., JR.; CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; OLIVEIRA, PAULO H.; SPADON, GABRIEL; DE SOUZA, JESSICA A.; OLIVEIRA, WILLIAN D.; CHINO, DANIEL Y. T.; RODRIGUES-, JOSE F., JR.; TRAINA, AGMA J. M.; et al. RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. 2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), v. N/A, p. 6-pg., . (13/21378-1, 17/08376-0, 16/17330-1, 15/15392-7, 16/17078-0)
LINARES, OSCAR CUADROS; FAICAL, BRUNO S.; BARBOSA, PAULO RENATO C.; HAMANN, BERND; FABRO, ALEXANDRE T.; TRAINA, AGMA J. M.; IEEE. How to Automatically Identify Regions of Interest in High-resolution Images of Lung Biopsy for Interstitial Fibrosis Diagnosis. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 4-pg., . (16/17078-0, 18/06228-7, 18/06074-0)
BRINIS, SAFIA; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.. Hollow-tree: a metric access method for data with missing values. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v. 53, n. 3, p. 28-pg., . (16/17078-0)
MALAQUIAS JUNIOR, ROSEVAL DONISETE; BUENO, RENATO; BANISSI, E; URSYN, A; BANNATYNE, MWM; PIRES, JM; DATIA, N; HUANG, ML; HUANG, W; NGUYEN, QV; et al. Visualization of trajectory-based queries in images database. 2021 25TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): AI & VISUAL ANALYTICS & DATA SCIENCE, v. N/A, p. 6-pg., . (16/17078-0)
OLIVA, SAMUEL ZANFERDINI; FELIPE, JOAQUIM CEZAR; ROCHA, A; FERRAS, C; MARIN, CEM; GARCIA, VHM. Walk-Based Diversification for Data Summarization. INFORMATION TECHNOLOGY AND SYSTEMS, ICITS 2020, v. 1137, p. 10-pg., . (16/17078-0)
MALAQUIAS JUNIOR, ROSEVAL DONISETE; PAIVA, CLAUDIO EDUARDO; BUENO, RENATO; BANISSI, E; KHOSROW-SHAHI, F; URSYN, A; BANNATYNE, MWM; PIRES, JM; DATIA, N; NAZEMI, K; et al. Visualization of similarity queries in an immersive virtual reality environment. 2020 24TH INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV 2020), v. N/A, p. 6-pg., . (16/17078-0)
CHINO, DANIEL Y. T.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; JORGE, ANA E. S.; TRAINA-, JR., CAETANO; TRAINA, AGMA J. M.. Segmenting skin ulcers and measuring the wound area using deep convolutional networks. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 191, . (16/17078-0, 16/17330-1, 14/25125-3, 18/24414-2)
SUNDERMANN, CAMILA VACCARI; DE PADUA, RENAN; TONON, VITOR RODRIGUES; MARCACINI, RICARDO MARCONDES; DOMINGUES, MARCOS AURELIO; REZENDE, SOLANGE OLIVEIRA. A context-aware recommender method based on text and opinion mining. EXPERT SYSTEMS, v. 37, n. 6, SI, . (16/17078-0, 18/04651-0)
BRINIS, SAFIA; TRAINA, JR., CAETANO; TRAINA, AGMA J. M.. Hollow-tree: a metric access method for data with missing values. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, v. 53, n. 3, SI, p. 481-508, . (16/17078-0)
LINHARES, CLAUDIO D. G.; PONCIANO, JEAN R.; PAIVA, JOSE GUSTAVO S.; TRAVENCOLO, BRUNO A. N.; ROCHA, LUIS E. C.. A comparative analysis for visualizing the temporal evolution of contact networks: a user study. JOURNAL OF VISUALIZATION, . (20/10049-0, 16/17078-0)
BRANDOLI, BRUNO; DE GEUS, ANDRE R.; SOUZA, JEFFERSON R.; SPADON, GABRIEL; SOARES, AMILCAR; RODRIGUES, JR., JOSE F.; KOMOROWSKI, JERZY; MATWIN, STAN. Aircraft Fuselage Corrosion Detection Using Artificial Intelligence. SENSORS, v. 21, n. 12, . (17/08376-0, 18/17620-5, 19/04461-9, 20/07200-9, 16/17078-0, 14/25337-0)
CAZZOLATO, MIRELA T.; RAMOS, JONATHAN S.; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CHINO, DANIEL Y. T.; JORGE, ANA E. S.; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; JR, CAETANO TRAINA; TRAINA, AGMA J. M.. The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. COMPUTERS IN BIOLOGY AND MEDICINE, v. 134, . (18/24414-2, 16/17078-0, 16/17330-1, 20/07200-9, 20/11258-2, 20/10902-5)
TRAINA, AGMA J. M.; BRINIS, SAFIA; PEDROSA, V, GLAUCO; AVAIHAIS, LETRICIA P. S.; TRAINA JR, CAETANO. Querying on large and complex databases by content: Challenges on variety and veracity regarding real applications. INFORMATION SYSTEMS, v. 86, p. 10-27, . (16/17078-0, 13/27101-1)
ALVES, MATHEUS A. C.; CORDEIRO, ROBSON L. F.. Effective and unburdensome forecast of highway traffic flow with adaptive computing. KNOWLEDGE-BASED SYSTEMS, v. 212, . (20/07200-9, 18/05714-5, 16/17078-0)
BLANCO, GUSTAVO; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; AZEVEDO-MARQUES, PAULO M.; JORGE, ANA E. S.; DE OLIVEIRA, DANIEL; BEDO, MARCOS V. N.. A superpixel-driven deep learning approach for the analysis of dermatological wounds. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, v. 183, . (16/17078-0)
OLIVEIRA, PAULO H.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; OLIVEIRA, WILLIAN D.; PAIXAO, RAFAEL S.; TRAINA, AGMA J. M.; TRAINA, CAETANO. Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories. IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, v. 23, n. 6, p. 2220-2229, . (16/17078-0, 15/15392-7, 16/17330-1)
SPADON, GABRIEL; DE CARVALHO, ANDRE C. P. L. F.; RODRIGUES-JR, JOSE F.; ALVES, LUIZ G. A.. Reconstructing commuters network using machine learning and urban indicators. SCIENTIFIC REPORTS, v. 9, . (16/17078-0, 17/08376-0, 19/04461-9, 13/07375-0, 16/16987-7, 16/18615-0, 14/25337-0)
RODRIGUES-, JR., JOSE F.; GUTIERREZ, MARCO A.; SPADON, GABRIEL; BRANDOLI, BRUNO; AMER-YAHIA, SIHEM. LIG-Doctor: Efficient patient trajectory prediction using bidirectional minimal gated-recurrent networks. INFORMATION SCIENCES, v. 545, p. 813-827, . (18/17620-5, 16/17078-0, 17/08376-0)
RODRIGUES, LUCAS S.; VESPA, THIAGO G.; ELEUTERIO, IGOR A. R.; OLIVEIRA, WILLIAN D.; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; GROEN, D; DEMULATIER, C; PASZYNSKI, M; KRZHIZHANOVSKAYA, VV; et al. MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases. COMPUTATIONAL SCIENCE, ICCS 2022, PT IV, v. N/A, p. 15-pg., . (16/17078-0, 20/10902-5, 20/07200-9)
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