Caetano Traina
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
22
Venues
5
Active years
2018–2025
Best venue rank
B
Where they publish
Papers
22 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CBMS | Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG. | Eduardo Moura, Rafael C. G. Conrado, Leonardo de Oliveira Campos, Mauro Marcel Olivatto, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina, Mirela T. Cazzolato |
| 2024 | CBMS | RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. | Erikson Jlio De Aguiar, Caetano Traina, Agma J. M. Traina |
| 2024 | CBMS | A symptom-based community-weighted similarity approach for inpatient health condition monitoring. | Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina |
| 2024 | SAC | MIGUE-Sim: Speeding Up Similarity Queries with Native RDBMS Resources. | Igor A. R. Eleutrio, Mirela T. Cazzolato, Larissa Roberta Teixeira, Marco Antonio Gutierrez, Agma Juci Machado Traina, Caetano Traina |
| 2023 | CBMS | Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. | Erikson Jlio De Aguiar, Mrcus V. L. Costa, Caetano Traina, Agma J. M. Traina |
| 2023 | CBMS | Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. | Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina |
| 2023 | CBMS | A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. | Mrcus V. L. Costa, Erikson Jlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina |
| 2022 | CBMS | Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. | Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques |
| 2022 | CBMS | Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. | Jonathan S. Ramos, Erikson Jlio De Aguiar, Ivar Vargas Belizario, Mrcus V. L. Costa, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina |
| 2022 | ICCS | MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases. | Lucas Santiago Rodrigues, Thiago Galbiatti Vespa, Igor A. R. Eleutrio, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina |
| 2021 | CBMS | Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. | Jos Maria Clementino, Bruno S. Faial, Christian C. Bones, Caetano Traina, Marco A. Gutierrez, Agma J. M. Traina |
| 2021 | CBMS | I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. | Claudio D. G. Linhares, Daniel Mario de Lima, Christian C. Bones, Marina F. S. de S Rebelo, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina |
| 2021 | CBMS | BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. | Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina |
| 2021 | SAC | VD-tree: how to build an efficient and fit metric access method using voronoi diagrams. | Andre Moriyama, Lucas Santiago Rodrigues, Lucas C. Scabora, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina |
| 2020 | CBMS | Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. | Mirela T. Cazzolato, Jonathan S. Ramos, Lucas Santiago Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina, Agma J. M. Traina |
| 2020 | CBMS | Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. | Jos Maria Clementino, Christian C. Bones, Bruno S. Faial, Oscar A. C. Linares, Daniel Mario de Lima, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina |
| 2020 | SISAP | Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. | Lucas Santiago Rodrigues, Mirela Teixeira Cazzolato, Agma Juci Machado Traina, Caetano Traina |
| 2019 | CBMS | 3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. | Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faial, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina |
| 2019 | CBMS | UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. | Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Bruno S. Faial, Agma J. M. Traina, Caetano Traina |
| 2019 | ISM | Efficient Indexing of Multiple Metric Spaces with Spectra. | Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Agma J. M. Traina, Caetano Traina |
| 2018 | CBMS | ICARUS: Retrieving Skin Ulcer Images through Bag-of-Signatures. | Daniel Yoshinobu Takada Chino, Lucas de Carvalho Scabora, Mirela Teixeira Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina, Agma Juci Machado Traina |
| 2018 | CBMS | RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. | Marcos Roberto Nesso Junior, Mirela T. Cazzolato, Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Jssica Andressa de Souza, Willian D. Oliveira, Daniel Y. T. Chino, Jos F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina |