Caetano Traina

31 papers B 18C 2Misc 2Journal 6Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cosim-Gres: Towards Similarity Queries Optimization Inside RDBMS. Softw. Pract. Exp. Igor Alberte Rodrigues Eleutério, Willian Dener de Oliveira, Larissa Roberta Teixeira, Thiago Galbiatti Vespa, William Zaniboni Silva, Agma Juci Machado Traina, Caetano Traina
2025	J	`jnl`	DEELE-Rad: exploiting deep radiomics features in deep learning models using COVID-19 chest X-ray images. Health Inf. Sci. Syst. Márcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Caetano Traina, Agma J. M. Traina
2025	B	`conf`	Modeling Clinical Data with Attention: A Knowledge Graph Approach with CliniKG. CBMS Eduardo Moura, Rafael C. G. Conrado, Leonardo O. Campos, Mauro Marcel Olivatto, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina, Mirela T. Cazzolato
2024	B	`conf`	A symptom-based community-weighted similarity approach for inpatient health condition monitoring. CBMS Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina
2024	Misc	`conf`	MIGUE-Sim: Speeding Up Similarity Queries with Native RDBMS Resources. SAC Igor A. R. Eleutério, Mirela T. Cazzolato, Larissa Roberta Teixeira, Marco Antonio Gutierrez, Agma Juci Machado Traina, Caetano Traina
2024	B	`conf`	RADAR-MIX: How to Uncover Adversarial Attacks in Medical Image Analysis through Explainability. CBMS Erikson Júlio De Aguiar, Caetano Traina, Agma J. M. Traina
2023	B	`conf`	A Deep Learning-based Radiomics Approach for COVID-19 Detection from CXR Images using Ensemble Learning Model. CBMS Márcus V. L. Costa, Erikson Júlio De Aguiar, Lucas Santiago Rodrigues, Jonathan S. Ramos, Caetano Traina, Agma J. M. Traina
2023	B	`conf`	Assessing Vulnerabilities of Deep Learning Explainability in Medical Image Analysis Under Adversarial Settings. CBMS Erikson Júlio De Aguiar, Márcus V. L. Costa, Caetano Traina, Agma J. M. Traina
2023	J	`jnl`	ClinicalPath: A Visualization Tool to Improve the Evaluation of Electronic Health Records in Clinical Decision-Making. IEEE Trans. Vis. Comput. Graph. Claudio D. G. Linhares, Daniel Mario de Lima, Jean R. Ponciano, Mauro M. Olivatto, Marco A. Gutierrez, Jorge Poco, Caetano Traina, Agma J. M. Traina
2023	B	`conf`	Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. CBMS Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina
2022	B	`conf`	Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. CBMS Jonathan S. Ramos, Erikson Júlio De Aguiar, Ivar Vargas Belizario, Márcus V. L. Costa, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2022	—	`conf`	MiDaS: Extract Golden Results from Knowledge Discovery Even over Incomplete Databases. ICCS (4) Lucas Santiago Rodrigues, Thiago Galbiatti Vespa, Igor A. R. Eleutério, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina
2022	B	`conf`	Wia-Spine: A CBIR environment with embedded radiomic features to assess fragility fractures. CBMS Marcos V. N. Bedo, Jonathan S. Ramos, Agma J. M. Traina, Caetano Traina, Marcello H. Nogueira-Barbosa, Paulo M. Azevedo-Marques
2021	B	`conf`	BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. CBMS Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2021	B	`conf`	I-CovidVis - A Visual Analytics Tool for Interoperable Healthcare Databases using Graphs. CBMS Claudio D. G. Linhares, Daniel Mario de Lima, Christian C. Bones, Marina F. S. de Sá Rebelo, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina
2021	B	`conf`	Multilevel Clustering Explainer: An Explainable Approach to Electronic Health Records. CBMS José Maria Clementino, Bruno S. Faiçal, Christian C. Bones, Caetano Traina, Marco A. Gutierrez, Agma J. M. Traina
2021	Misc	`conf`	VD-tree: how to build an efficient and fit metric access method using voronoi diagrams. SAC Andre Moriyama, Lucas Santiago Rodrigues, Lucas C. Scabora, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina
2020	B	`conf`	Bag-of-Attributes Representation: A Vector Space Model for Electronic Health Records Analysis in OMOP. CBMS José Maria Clementino, Christian C. Bones, Bruno S. Faiçal, Oscar A. C. Linares, Daniel Mario de Lima, Marco A. Gutierrez, Caetano Traina, Agma J. M. Traina
2020	B	`conf`	Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. CBMS 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	B	`conf`	Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. SISAP Lucas Santiago Rodrigues, Mirela Teixeira Cazzolato, Agma Juci Machado Traina, Caetano Traina
2019	B	`conf`	3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. CBMS Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
2019	C	`conf`	Efficient Indexing of Multiple Metric Spaces with Spectra. ISM Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Agma J. M. Traina, Caetano Traina
2019	J	`jnl`	Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories. IEEE J. Biomed. Health Informatics Paulo H. Oliveira, Lucas C. Scabora, Mirela T. Cazzolato, Willian D. Oliveira, Rafael S. Paixão, Agma J. M. Traina, Caetano Traina
2019	—	`conf`	Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg. SIBGRAPI Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Oscar A. C. Linares, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
2019	B	`conf`	UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. CBMS Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Bruno S. Faiçal, Agma J. M. Traina, Caetano Traina
2018	J	`jnl`	Full-fledged semantic indexing and querying model designed for seamless integration in legacy RDBMS. Data Knowl. Eng. Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina, Kokou Yétongnon, Carlos Raymundo Ibañez, Marc Al Assad, Christian Kallas
2018	J	`jnl`	How to speed up outliers removal in image matching. Pattern Recognit. Lett. Jonathan S. Ramos, Carolina Yukari Veludo Watanabe, Caetano Traina, Agma J. M. Traina
2018	B	`conf`	ICARUS: Retrieving Skin Ulcer Images through Bag-of-Signatures. CBMS Daniel Yoshinobu Takada Chino, Lucas de Carvalho Scabora, Mirela Teixeira Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina, Agma Juci Machado Traina
2018	B	`conf`	RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. CBMS Marcos Roberto Nesso Junior, Mirela T. Cazzolato, Lucas C. Scabora, Paulo H. Oliveira, Gabriel Spadon, Jéssica Andressa de Souza, Willian D. Oliveira, Daniel Y. T. Chino, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina
2018	C	`conf`	Upgraded SemIndex Prototype Supporting Intelligent Database Keyword Queries through Disambiguation, Query as You Type, and Parallel Search Algorithms. ICCC Joe Tekli, Richard Chbeir, Agma J. M. Traina, Caetano Traina, Kokou Yétongnon, Carlos Raymundo Ibañez, Christian Kallas
2008	—	`conf`	A new method to efficiently reduce histogram dimensionality. Computer-Aided Diagnosis Pedro Henrique Bugatti, Agma J. M. Traina, Joaquim Cezar Felipe, Caetano Traina