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

• Grant number: 16/17078-0
• Support Opportunities: Research Projects - Thematic Grants
• Start date: September 01, 2017
• End date: 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 Mendonca ; 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, né Lehmann ; Umberto Tachinardi
• Associated research grant(s): 25/08850-0 - 38th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS2025), AR.EXT; 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; + associated grants 20/07200-9 - Analyzing complex data from COVID-19 to support decision making and prognosis, AP.R; 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; 18/24414-2 - A framework for integration of feature extraction techniques and complex databases for MIVisBD, BP.TT; 17/08376-0 - Analysis and improvement of urban systems using digital maps in the form of complex networks, BP.DR; 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)

Scientific publications

(110)

(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)

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, DEC 2019. (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, JUN 2021. (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, JUN 2021. (17/08376-0, 18/17620-5, 19/04461-9, 20/07200-9, 16/17078-0, 14/25337-0)

PONCIANO, JEAN R.; LINHARES, CLAUDIO D. G.; ROCHA, LUIS E. C.; FARIA, ELAINE R.; TRAVENCOLO, BRUNO A. N.; ACM. Combining clutter reduction methods for temporal network visualization. 37TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 8-pg., 2022-01-01. (20/10049-0, 16/17078-0, 20/07200-9)

CARVALHO, CARLOS ROBERTO RIBEIRO; LAMAS, CELINA ALMEIDA; CHATE, RODRIGO CARUSO; SALGE, JOAO MARCOS; SAWAMURA, MARCIO VALENTE YAMADA; DE ALBUQUERQUE, ANDRE L. P.; TOUFEN JR, CARLOS; LIMA, DANIEL MARIO; GARCIA, MICHELLE LOUVAES; SCUDELLER, PAULA GOBI; et al. Long-term respiratory follow-up of ICU hospitalized COVID-19 patients: Prospective cohort study. PLoS One, v. 18, n. 1, p. 16-pg., 2023-01-20. (14/50889-7, 16/17078-0)

MAGALHAES TENORIO, ARIANE PRISCILLA; FALEIROS, MATHEUS CALIL; FERREIRA JUNIOR, JOSE RANIERY; DALTO, VITOR FAEDA; ASSAD, RODRIGO LUPPINO; LOUZADA-JUNIOR, PAULO; YOSHIDA, HIROYUKI; NOGUEIRA-BARBOSA, MARCELLO HENRIQUE; DE AZEVEDO-MARQUES, PAULO MAZZONCINI. A study of MRI-based radiomics biomarkers for sacroiliitis and spondyloarthritis. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, v. 15, n. 10, JUN 2020. (16/17078-0, 14/50889-7)

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, JAN 2020. (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, NOV 2019. (16/17078-0, 15/15392-7, 16/17330-1)

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, FEB 4 2021. (18/17620-5, 16/17078-0, 17/08376-0)

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, JUL 2021. (18/24414-2, 16/17078-0, 16/17330-1, 20/07200-9, 20/11258-2, 20/10902-5)

GIUNTINI, FELIPE TALIAR; DE MORAES, KAUE L.; CAZZOLATO, MIRELA T.; KIRCHNER, LUZIANE DE FATIMA; DOS REIS, MARIA DE JESUS D.; TRAINA, AGMA J. M.; CAMPBELL, ANDREW T.; UEYAMA, JO. Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE ACCESS, v. 9, p. 93182-93194, 2021. (13/07375-0, 20/11258-2, 18/24414-2, 18/17335-9, 16/17078-0, 20/07200-9)

GIUNTINI, FELIPE TALIAR; DE MORAES, KAUE L. P.; CAZZOLATO, MIRELA T.; KIRCHNER, LUZIANE DE FATIMA; DOS REIS, MARIA DE JESUS D.; TRAINA, AGMA J. M.; CAMPBELL, ANDREW T.; UEYAMA, JO. Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE ACCESS, v. 9, p. 97621-97635, 2021. (18/24414-2, 20/07200-9, 13/07375-0, 16/17078-0, 20/11258-2, 18/17335-9)

FLOREZ, ALEXANDER Y. C.; SCABORA, LUCAS; ELER, DANILO M.; RODRIGUES-JR, JOSE F.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; TRAINA, A; SODA, P; et al. APEHR: Automated Prognosis in Electronic Health Records using multi-head self-attention. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (16/17330-1, 18/17620-5, 16/17078-0)

MILON-FLORES, DANIELA F.; CORDEIRO, ROBSON L. F.. How to take advantage of behavioral features for the early detection of grooming in online conversations. KNOWLEDGE-BASED SYSTEMS, v. 240, p. 29-pg., 2022-01-22. (20/07200-9, 16/17078-0, 18/05714-5)

SPADON, GABRIEL; HONG, SHENDA; BRANDOLI, BRUNO; MATWIN, STAN; RODRIGUES-JR, JOSE F.; SUN, JIMENG. Pay Attention to Evolution: Time Series Forecasting With Deep Graph-Evolution Learning. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, v. 44, n. 9, p. 17-pg., 2022-09-01. (16/17078-0, 20/07200-9, 18/17620-5, 17/08376-0, 14/25337-0, 19/04461-9)

ALVES, MATHEUS A. C.; CORDEIRO, ROBSON L. F.. Effective and unburdensome forecast of highway traffic flow with adaptive computing. KNOWLEDGE-BASED SYSTEMS, v. 212, JAN 5 2021. (20/07200-9, 18/05714-5, 16/17078-0)

COSTA, MARCUS V. L.; DE AGUIAR, ERIKSON J.; RODRIGUES, LUCAS S.; RAMOS, JONATHAN S.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; ALMEIDA, JR; SPILIOPOULOU, M; ANDRADES, JAB; PLACIDI, G; et al. A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. 2023 IEEE 36TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS, v. N/A, p. 6-pg., 2023-01-01. (16/17078-0, 20/07200-9, 21/08982-3)

RODRIGUES, LUCAS SANTIAGO; CAZZOLATO, MIRELA TEIXEIRA; MACHADO TRAINA, AGMA JUCI; TRAINA JR, CAETANO; SATOH, S; ZIMEK, A; BARTOLINI, I; JONSSON, BP; VADICAMO, L; CARRARA, F; et al. Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. SIMILARITY SEARCH AND APPLICATIONS, SISAP 2020, v. 12440, p. 9-pg., 2020-01-01. (20/07200-9, 18/24414-2, 16/17078-0, 20/10902-5)

CLEMENTINO, JOSE M., JR.; FAICAL, BRUNO S.; BONES, CHRISTIAN C.; TRAINA, CAETANO, JR.; GUTIERREZ, MARCO A.; TRAINA, AGMA J. M.; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; et al. Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (20/07200-9, 16/17078-0, 18/06074-0, 19/04660-1, 18/06228-7)

MARCOMINI, KAREM DAIANE; CARDONA CARDENAS, DIEGO ARMANDO; MACHADO TRAINA, AGMA JUCI; KRIEGER, JOSE EDUARDO; GUTIERREZ, MARCO ANTONIO; DRUKKER, K; IFTEKHARUDDIN, KM. A deep learning approach for COVID-19 screening and localization on Chest X-Ray images. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, v. 12033, p. 9-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/14180-4)

DE AGUIAR, ERIKSON J.; MARCOMINI, KAREM D.; QUIRINO, FELIPE A.; GUTIERREZ, MARCO A.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; DRUKKER, K; IFTEKHARUDDIN, KM. Evaluation of the impact of physical adversarial attacks on deep learning models for classifying covid cases. MEDICAL IMAGING 2022: COMPUTER-AIDED DIAGNOSIS, v. 12033, p. 7-pg., 2022-01-01. (20/07200-9, 16/17078-0, 20/14180-4)

PEREIRA, JULIANA WOLF; RIBEIRO, MARCELA XAVIER; ALMEIDA, JR; GONZALEZ, AR; SHEN, L; KANE, B; TRAINA, A; SODA, P; OLIVEIRA, JL. Semantic Annotation and Classification of Mammography Images using Ontologies. 2021 IEEE 34TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2021-01-01. (16/17078-0)

RODRIGUES-JR, JOSE F.; SPADON, GABRIEL; BRANDOLI, BRUNO; AMER-YAHIA, SIHEM; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; SODA, P. Lig-Doctor: real-world clinical prognosis using a bi-directional neural network. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 4-pg., 2020-01-01. (16/17078-0, 18/17620-5, 17/08376-0)

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, AUG 13 2019. (16/17078-0, 17/08376-0, 19/04461-9, 13/07375-0, 16/16987-7, 16/18615-0, 14/25337-0)

JASBICK, DANIEL; SANTOS, LUCIO; AZEVEDO-MARQUES, PAULO M.; TRAINA, AGMA J. M.; DE OLIVEIRA, DANIEL; BEDO, MARCOS. Pushing diversity into higher dimensions: The LID effect on diversified similarity searching. INFORMATION SYSTEMS, v. 114, p. 16-pg., 2023-01-28. (16/17078-0, 21/06564-0)

SINOARA, ROBERTA A.; CAMACHO-COLLADOS, JOSE; ROSSI, RAFAEL G.; NAVIGLI, ROBERTO; REZENDE, SOLANGE O.. Knowledge-enhanced document embeddings for text classification. KNOWLEDGE-BASED SYSTEMS, v. 163, p. 955-971, JAN 1 2019. (16/17078-0, 13/14757-6, 16/07620-2)

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., 2022-01-01. (16/17078-0, 20/10902-5, 20/07200-9)

FRANCISCO, VICTOR; KOENIGKAM-SANTOS, MARCEL; WADA, DANILO TADAO; FERREIRA JUNIOR, JOSE RANIERY; FABRO, ALEXANDRE TODOROVIC; GARCIA CIPRIANO, FEDERICO ENRIQUE; QUATRINA, SATHYA GERALDO; DE AZEVEDO-MARQUES, PAULO MAZZONCINI; COSTAFELIX, R; MACHADO, JC; et al. Computer-Aided Diagnosis of Lung Cancer in Magnetic Resonance Imaging Exams. XXVI BRAZILIAN CONGRESS ON BIOMEDICAL ENGINEERING, CBEB 2018, VOL. 2, v. 70, n. 2, p. 7-pg., 2019-01-01. (16/17078-0)

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, DEC 2019. (16/17078-0, 13/27101-1)

MONTEIRO OLIVEIRA, JADSON JOSE; FERREIRA CORDEIRO, ROBSON LEONARDO. Unsupervised dimensionality reduction for very large datasets: Are we going to the right direction?. KNOWLEDGE-BASED SYSTEMS, v. 196, MAY 21 2020. (16/17078-0, 18/05714-5)

PEREIRA, JULIANA WOLF; RIBEIRO, MARCELA XAVIER; SHEN, L; GONZALEZ, AR; SANTOSH, KC; LAI, Z; SICILIA, R; ALMEIDA, JR; KANE, B. Hyperparameter for Deep Learning Applied in Mammogram Image Classification. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2022-01-01. (16/17078-0)

ELEUTERIO, IGOR A. R.; CAZZOLATO, MIRELA T.; TEIXEIRA, LARISSA R.; GUTIERREZ, MARCO A.; TRAINA, AGMA J. M.; TRAINA-, CAETANO, JR.. MIGUE-Sim: Speeding Up Similarity Queries with Native RDBMS Resources. 39TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2024, v. N/A, p. 8-pg., 2024-01-01. (16/17078-0, 20/11258-2)

DE OLIVEIRA NOVAES, JOAO VICTOR; DUTRA SANTOS, LUCIO FERNANDES; TRAINA, AGMA JUCI MACHADO; TRAINA, CAETANO, JR.; CHIUSANO, S; CERQUITELLI, T; WREMBEL, R. ORTree: Tuning Diversified Similarity Queries by Means of Data Partitioning. ADVANCES IN DATABASES AND INFORMATION SYSTEMS, ADBIS 2022, v. 13389, p. 14-pg., 2022-01-01. (16/17078-0, 20/07200-9)

DE PADUA, RENAN; DO CARMO, LAIS PESSINE; REZENDE, SOLANGE OLIVEIRA; DE CARVALHO, VERONICA OLIVEIRA; IEEE. An Analysis on Community Detection and Clustering Algorithms on the Post-Processing of Association Rules. 2018 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 7-pg., 2018-01-01. (16/17078-0)

DE PADUA, RENAN; CALCADA, DARIO BRITO; DE CARVALHO, VERONICA OLIVEIRA; REZENDE, SOLANGE OLIVEIRA; IEEE. Exploring the data using Extended Association Rule Network. 2018 7TH BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), v. N/A, p. 6-pg., 2018-01-01. (16/17078-0)

RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, AGMA J. M.; ACM. FINE: Improving time and precision of segmentation techniques for vertebral compression fractures in MRI. PROCEEDINGS OF THE 35TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING (SAC'20), v. N/A, p. 4-pg., 2020-01-01. (18/24414-2, 16/17078-0, 17/23780-2)

DE SOUSA, ROGERIO ADRIANO; MIEKO OMOTO, ANA CAROLINA; FAZAN JUNIOR, RUBENS; FELIPE, JOAQUIM CEZAR; ROCHA, A; FERRAS, C; MARIN, CEM; GARCIA, VHM. Automatic Processing of Histological Imaging to Aid Diagnosis of Cardiac Remodeling. INFORMATION TECHNOLOGY AND SYSTEMS, ICITS 2020, v. 1137, p. 8-pg., 2020-01-01. (16/17078-0)

RODRIGUES JR, JOSE F.; FLOREA, LARISA; DE OLIVEIRA, MARIA C. F.; DIAMOND, DERMOT; OLIVEIRA JR, OSVALDO N.. Big data and machine learning for materials science. DISCOVER MATERIALS, v. 1, n. 1, p. 27-pg., 2021-04-19. (16/17078-0, 18/17620-5, 18/22214-6)

MORAES, LEONARDO M. P.; FERREIRA, FELIPPE P.; CORDEIRO, ROBSON L. F.. Modeling and analyzing Social Networks of Games. EXPERT SYSTEMS WITH APPLICATIONS, v. 261, p. 26-pg., 2024-10-07. (18/05714-5, 16/17078-0)

MORIYAMA, ANDRE; RODRIGUES, LUCAS S.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; TRAINA, AGMA J. M.; TRAINA, CAETANO, JR.. VD-Tree: How to build an efficient and fit metric access method using Voronoi Diagrams. 36TH ANNUAL ACM SYMPOSIUM ON APPLIED COMPUTING, SAC 2021, v. N/A, p. 9-pg., 2021-01-01. (16/17330-1, 20/10902-5, 18/24414-2, 20/11258-2, 16/17078-0, 20/07200-9)

DE AGUIAR, ERIKSON J.; TRAINA, AGMA J. M.; HELAL, SUMI. SentinelAdvMedical: toward adversarial attacks detection on medical image classification via Out-Of-Distribution strategies. MEDICAL IMAGING 2025: COMPUTER-AIDED DIAGNOSIS, v. 13407, p. 7-pg., 2025-01-01. (21/08982-3, 23/18026-8, 16/17078-0, 23/14759-0, 24/13328-9)

ZABOT, GUILHERME F.; CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; FAICAL, BRUNO S.; TRAINA, AGMA J. M.; TRAINA, CAETANO, JR.; IEEE. UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2019-01-01. (18/24414-2, 16/17078-0, 18/06228-7, 16/17330-1)

RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; FAICAL, BRUNO S.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; IEEE. 3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. 2019 IEEE 32ND INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2019-01-01. (18/24414-2, 17/23780-2, 18/06228-7, 16/17078-0)

RODRIGUES-JR, JOSE F.; BRANDOLI, BRUNO; AMER-YAHIA, SIHEM; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; KANE, B; SODA, P. DermaDL: advanced Convolutional Neural Networks for automated melanoma detection. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (18/17620-5, 16/17078-0)

LINARES, OSCAR CUADROS; SORIANO-VARGAS, AUREA AUREA; FAICAL, BRUNO S.; HAMANN, BERND; FABRO, ALEXANDRE T.; TRAINA, AGMA J. M.; DEHERRERA, AGS; GONZALEZ, AR; SANTOSH, KC; TEMESGEN, Z; et al. Efficient Segmentation of Cell Nuclei in Histopathological Images. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (16/17078-0, 18/06228-7, 18/06074-0, 20/07200-9)

PAIVA, CLAUDIO EDUARDO; BUENO, RENATO; BANISSI, E; URSYN, A; BANNATYNE, MWM; DATIA, N; FRANCESE, R; SARFRAZ, M; WYELD, TG; BOUALI, F; et al. Delimitation of regions of interest in similarity queries visualization. 2019 23RD INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): BIOMEDICAL VISUALIZATION AND GEOMETRIC MODELLING & IMAGING, v. N/A, p. 6-pg., 2019-01-01. (16/17078-0)

REAL, LUIZ GUSTAVO S.; BUENO, RENATO; RIBEIRO, MARCELA X.; BANISSI, E; URSYN, A; BANNATYNE, MWM; DATIA, N; FRANCESE, R; SARFRAZ, M; WYELD, TG; et al. Evaluating boundary conditions and hierarchical visualization in CBIR. 2019 23RD INTERNATIONAL CONFERENCE INFORMATION VISUALISATION (IV): BIOMEDICAL VISUALIZATION AND GEOMETRIC MODELLING & IMAGING, v. N/A, p. 6-pg., 2019-01-01. (16/17078-0)

ZABOT, GUILHERME F.; CAZZOLATO, MIRELA T.; SCABORA, LUCAS C.; TRAINA, AGMA J. M.; TRAINA-, CAETANO, JR.; IEEE. Efficient Indexing of Multiple Metric Spaces with Spectra. 2019 IEEE INTERNATIONAL SYMPOSIUM ON MULTIMEDIA (ISM 2019), v. N/A, p. 8-pg., 2019-01-01. (18/24414-2, 16/17078-0, 16/17330-1)

TRAINA, CAETANO, JR.; MORIYAMA, ANDRE; ROCHA, GUILHERME; CORDEIRO, ROBSON; CIFERRI, CRISTINA D. A.; TRAINA, AGMA; ASSOC COMP MACHINERY. The SIMILARQL framework: similarity queries in plain SQL. SAC '19: PROCEEDINGS OF THE 34TH ACM/SIGAPP SYMPOSIUM ON APPLIED COMPUTING, v. N/A, p. 4-pg., 2019-01-01. (18/05714-5, 16/17078-0, 18/22277-8)

ROCHA, LUIS E. C.; HOLME, PETTER; LINHARES, CLAUDIO D. G.. The global migration network of sex-workers. JOURNAL OF COMPUTATIONAL SOCIAL SCIENCE, v. 5, n. 1, p. 17-pg., 2022-01-13. (16/17078-0, 20/10049-0)

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, v. 24, n. 5, p. 1011-1031, OCT 2021. (16/17078-0, 20/10049-0)

CHIARI-CORREIA, NATALIA S.; NOGUEIRA-BARBOSA, MARCELLO H.; CHIARI-CORREIA, RODOLFO DIAS; AZEVEDO-MARQUES, PAULO M.. A 3D Radiomics-Based Artificial Neural Network Model for Benign Versus Malignant Vertebral Compression Fracture Classification in MRI. JOURNAL OF DIGITAL IMAGING, v. 36, n. 4, p. 13-pg., 2023-05-30. (16/17078-0)

CLEMENTINO JR, JOSE M.; BONES, CHRISTIAN C.; FAICAL, BRUNO S.; LINARES, OSCAR C.; LIMA, DANIEL M.; GUTIERREZ, MARCO A.; TRAINA JR, CAETANO; TRAINA, AGMA J. M.; DEHERRERA, AGS; GONZALEZ, AR; et al. Bag-of-Attributes Representation: a Vector Space Model for Electronic Health Records Analysis in OMOP. 2020 IEEE 33RD INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS(CBMS 2020), v. N/A, p. 6-pg., 2020-01-01. (18/06228-7, 16/17078-0, 20/07200-9, 19/04660-1, 18/06074-0)

RODRIGUES, JOSE F., JR.; PEPIN, JEAN-LOUIS; GOEURIOT, LORRAINE; AMER-YAHIA, SIHEM; ASSOC COMP MACHINERY. An Extensive Investigation of Machine Learning Techniques for Sleep Apnea Screening. CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, v. N/A, p. 8-pg., 2020-01-01. (18/17620-5, 16/17078-0)

SCHEICHER, RICARDO B.; SINOARA, ROBERTA A.; FELINTO, JONAS C.; REZENDE, SOLANGE O.; ASSOC COMP MACHINERY. Sentiment classification improvement using semantically enriched information. DOCENG'19: PROCEEDINGS OF THE ACM SYMPOSIUM ON DOCUMENT ENGINEERING 2019, v. N/A, p. 4-pg., 2019-01-01. (16/17078-0)

LINHARES, CLAUDIO D. G.; LIMA, DANIEL M.; PONCIANO, JEAN R.; OLIVATTO, MAURO M.; GUTIERREZ, MARCO A.; POCO, JORGE; TRAINA JR, CAETANO; TRAINA, AGMA J. M.. ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v. 29, n. 10, p. 16-pg., 2023-10-01. (20/10049-0, 16/17078-0, 20/07200-9)

ELEUTERIO, IGOR ALBERTE R.; DE OLIVEIRA, WILLIAN D.; TEIXEIRA, LARISSA R.; VESPA, THIAGO G.; SILVA, WILLIAM Z.; TRAINA, AGMA JUCI M.; TRAINA JR, CAETANO. Cosim-Gres: Towards Similarity Queries Optimization Inside RDBMS. SOFTWARE-PRACTICE & EXPERIENCE, v. N/A, p. 15-pg., 2025-01-23. (21/08982-3, 20/07200-9, 16/17078-0)

BEDO, MARCOS; RAMOS, JONATHAN S.; TRAINA, AGMA J. M.; TRAINA JR, CAETANO; NOGUEIRA-BARBOSA, MARCELLO H.; AZEVEDO-MARQUES, PAULO M.; SHEN, L; GONZALEZ, AR; SANTOSH, KC; LAI, Z; et al. Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. 2022 IEEE 35TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS), v. N/A, p. 6-pg., 2022-01-01. (16/17078-0, 21/06564-0)

CHINO, DANIEL Y. T.; SCABORA, LUCAS C.; CAZZOLATO, MIRELA T.; JORGE, ANA E. S.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.; HOLLMEN, J; MCGREGOR, C; SODA, P; KANE, B. ICARUS: Retrieving Skin Ulcer Images Through Bag-of-Signatures. 2018 31ST IEEE INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS (CBMS 2018), v. N/A, p. 6-pg., 2018-01-01. (14/25125-3, 16/17078-0, 16/17330-1)

SPADON, GABRIEL; MACHADO, BRUNO B.; ELER, DANILO M.; RODRIGUES JR, JOSE F.; SHI, Y; FU, H; TIAN, Y; KRZHIZHANOVSKAYA, VV; LEES, MH; DONGARRA, J; et al. A Distance-Based Tool-Set to Track Inconsistent Urban Structures Through Complex-Networks. COMPUTATIONAL SCIENCE - ICCS 2018, PT I, v. 10860, p. 14-pg., 2018-01-01. (16/17078-0, 17/08376-0)

SOUZA, ANDRE MOREIRA; KOBAYASHI, LIVIA LISSA; TASSONI, LUCAS ANDRIETTA; GARBOSSA, CESAR AUGUSTO POSPISSIL; VENTURA, RICARDO VIEIRA; DE SOUSA, ELAINE PARROS MACHADO. Deep learning solutions for audio event detection in a swine barn using environmental audio and weak labels. APPLIED INTELLIGENCE, v. 55, n. 7, p. 12-pg., 2025-05-01. (16/19514-2, 20/07200-9, 16/17078-0)

MARCOMINI, KAREM D.. Ensemble of Convolutional Neural Networks for COVID-19 Localization on Chest X-ray Images. BIG DATA AND COGNITIVE COMPUTING, v. 8, n. 8, p. 19-pg., 2024-08-01. (16/17078-0, 20/07200-9, 20/14180-4)

PONCIANO, JEAN R.; CAZZOLATO, MIRELA T.; GUTIERREZ, MARCO ANTONIO; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.. A symptom-based community-weighted similarity approach for inpatient health condition monitoring. 2024 IEEE 37TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS 2024, v. N/A, p. 7-pg., 2024-01-01. (16/17078-0, 22/13190-1, 20/11258-2)

SILVA, ENDI D. C.; TRAINA, AGMA J. M.. BoCS: Image retrieval using explicable methods. 2023 36TH CONFERENCE ON GRAPHICS, PATTERNS AND IMAGES, SIBGRAPI 2023, v. N/A, p. 6-pg., 2023-01-01. (16/17078-0)

CAZZOLATO, MIRELA; VIJAYAKUMAR, SARANYA; LEE, MENG-CHIEH; VAJIAC, CATALINA; PARK, NAMYONG; FIDALGO, PEDRO; TRAINA, AGMA J. M.; FALOUTSOS, CHRISTOS. CALLMINE: Fraud Detection and Visualization of Million-Scale Call Graphs. PROCEEDINGS OF THE 32ND ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, CIKM 2023, v. N/A, p. 7-pg., 2023-01-01. (16/17078-0, 21/11403-5, 20/11258-2, 20/07200-9)

DE AGUIAR, ERIKSON J.; TRAINA, CAETANO, JR.; TRAINA, AGMA J. M.. RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. 2024 IEEE 37TH INTERNATIONAL SYMPOSIUM ON COMPUTER-BASED MEDICAL SYSTEMS, CBMS 2024, v. N/A, p. 6-pg., 2024-01-01. (16/17078-0, 21/08982-3, 20/07200-9, 23/14759-0)

CAZZOLATO, MIRELA T.; TRAINA, AGMA J. M.; BOEHM, KLEMENS; CUZZOCREA, A; ALLAN, J; PATON, N; SRIVASTAVA, D; AGRAWAL, R; BRODER, A; ZAKI, M; et al. Efficient and Reliable Estimation of Cell Positions. CIKM'18: PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, v. N/A, p. 10-pg., 2018-01-01. (16/17078-0)

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, JAN 2019. (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, MAY 2019. (16/17078-0, 16/17330-1, 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, AUG 2020. (16/17078-0, 18/04651-0)

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, JUL 2020. (16/17078-0, 16/17330-1, 14/25125-3, 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, NOV 2019. (14/50889-7, 16/17078-0)

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, NOV 2020. (16/17078-0, 18/17335-9, 13/07375-0, 18/24414-2)

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., 2020-01-01. (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., 2021-01-01. (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., 2020-01-01. (16/17078-0)

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., 2019-12-01. (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., 2020-01-01. (16/17078-0, 20/07200-9, 17/23780-2, 18/24414-2, 16/17330-1)

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., 2023-01-01. (16/17078-0, 21/11403-5, 20/11258-2)

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, JUN 2021. (18/17620-5, 16/17078-0)

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, MAY 7 2020. (16/17078-0, 18/07765-6)

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, JAN 2022. (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, MAR 2022. (20/11258-2, 16/17078-0, 20/07200-9, 18/24414-2)

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., 2019-01-01. (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., 2019-01-01. (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., 2022-01-01. (16/17078-0, 18/11424-0)

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., 2019-01-01. (16/17078-0, 18/05714-5)

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., 2019-01-01. (16/17078-0, 18/06228-7, 18/06074-0)

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., 2022-01-01. (20/07200-9, 16/17078-0, 20/10049-0)

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., 2023-01-01. (16/17078-0, 20/07200-9, 21/08982-3)

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., 2018-01-01. (16/17078-0, 17/08376-0, 14/25337-0)

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., 2021-01-01. (20/11258-2, 17/23780-2, 20/07200-9, 16/17078-0, 18/04266-9)

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., 2021-01-01. (20/07200-9, 16/17078-0, 19/04660-1, 20/10049-0)

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., 2022-01-01. (21/02412-0, 20/11258-2, 16/17078-0, 21/11403-5, 21/00360-3, 21/08982-3, 18/04266-9)

SILVA, JOAO PEDRO; RODRIGUES JR, JOSE F.. Utilizing Satellite Imagery to Predict Socioeconomic Indicators: A Study Conducted in Brazil. INTERNATIONAL JOURNAL OF SEMANTIC COMPUTING, v. 18, n. 03, p. 17-pg., 2024-05-30. (16/17078-0)

SPADON, GABRIEL; KUMAR, JAY; EDEN, DEREK; VAN BERKEL, JOSH; FOSTER, TOM; SOARES, AMILCAR; FABLET, RONAN; MATWIN, STAN; PELOT, RONALD. Multi-path long-term vessel trajectories forecasting with probabilistic feature fusion for problem shifting. OCEAN ENGINEERING, v. 312, p. 23-pg., 2024-09-03. (16/17078-0, 22/12374-1)

RAMOS, JONATHAN S.; CAZZOLATO, MIRELA T.; LINARES, OSCAR C.; MACIEL, JAMILLY G.; MENEZES-REIS, RAFAEL; AZEVEDO-MARQUES, PAULO M.; NOGUEIRA-BARBOSA, MARCELLO H.; TRAINA JUNIOR, CAETANO; TRAINA, AGMA J. M.. Fast and accurate 3-D spine MRI segmentation using FastCleverSeg. MAGNETIC RESONANCE IMAGING, v. 109, p. 13-pg., 2024-03-22. (16/17078-0, 18/06228-7, 17/23780-2, 18/24414-2)

SONG, RUIXIN; SPADON, GABRIEL; PELOT, RONALD; MATWIN, STAN; SOARES, AMILCAR. Enhancing global maritime traffic network forecasting with gravity-inspired deep learning models. SCIENTIFIC REPORTS, v. 14, n. 1, p. 16-pg., 2024-07-19. (22/12374-1, 16/17078-0)

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LINHARES, CLAUDIO D. G.; PONCIANO, JEAN R.; PEDRO, DIOGENES S.; ROCHA, LUIS E. C.; TRAINA, AGMA J. M.; POCO, JORGE. LargeNetVis: Visual Exploration of Large Temporal Networks Based on Community Taxonomies. IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, v. 29, n. 1, p. 11-pg., 2023-01-01. (16/17078-0, 20/10049-0, 20/07200-9)

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ALAM, MD MAHBUB; SPADON, GABRIEL; ETEMAD, MOHAMMAD; TORGO, LUIS; MILIOS, EVANGELOS. Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns. OCEAN ENGINEERING, v. 308, p. 12-pg., 2024-06-04. (16/17078-0, 22/12374-1)

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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., 2020-01-01. (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., 2020-01-01. (16/17078-0)

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