Mirela T. Cazzolato

40 papers A* 2A 1B 12C 2Misc 6Journal 11Unranked 6

Year	Rank	Type	Title / Venue / Authors
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	—	`conf`	Combining Semantic Graph Features and a Common Data Model to Exploit the Interoperability of Patient Databases. SBBD Rafael C. G. Conrado, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina, Mirela T. Cazzolato
2024	—	`conf`	KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method. ICEIS (1) Larissa Roberta Teixeira, Igor A. R. Eleutério, Mirela T. Cazzolato, Marco A. Gutierrez, Agma J. M. Traina, Caetano Traina Jr.
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	A*	`conf`	T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany
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
2023	A*	`conf`	TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Duen Horng Chau, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
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	J	`jnl`	Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. Inf. Syst. Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
2022	J	`jnl`	FeatSet+: Visual Features Extracted from Public Image Datasets. J. Inf. Data Manag. Mirela T. Cazzolato, Lucas C. Scabora, Guilherme F. Zabot, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
2022	J	`jnl`	Sketch+ for Visual and Correlation-Based Exploratory Data Analysis: A Case Study with COVID-19 Databases. J. Inf. Data Manag. Mirela T. Cazzolato, Lucas Santiago Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
2022	B	`conf`	TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. IEEE Big Data Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
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	J	`jnl`	Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE Access Felipe Taliar Giuntini, Kauê L. de Moraes, Mirela T. Cazzolato, Luziane de Fátima Kirchner, Maria de Jesus Dutra dos Reis, Agma J. M. Traina, Andrew Thomas Campbell, Jó Ueyama
2021	Misc	`conf`	SHARq: sharing recursive queries in relational databases. SAC Lucas C. Scabora, Gabriel Spadon, Mirela T. Cazzolato, Daniel S. Kaster, Agma J. M. Traina, José F. Rodrigues Jr., Caetano Traina Jr.
2021	—	`conf`	Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases. SBBD Mirela T. Cazzolato, Lucas Santiago Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
2021	J	`jnl`	The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Comput. Biol. Medicine 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 Jr., Agma J. M. Traina
2021	J	`jnl`	Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE Access Felipe Taliar Giuntini, Kauê L. de Moraes, Mirela T. Cazzolato, Luziane de Fátima Kirchner, Maria de Jesus Dutra dos Reis, Agma J. M. Traina, Andrew Thomas Campbell, Jó Ueyama
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	J	`jnl`	A review on recognizing depression in social networks: challenges and opportunities. J. Ambient Intell. Humaniz. Comput. Felipe Taliar Giuntini, Mirela T. Cazzolato, Maria de Jesus Dutra dos Reis, Andrew Thomas Campbell, Agma J. M. Traina, Jó Ueyama
2020	Misc	`conf`	FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. SAC Jonathan S. Ramos, Mirela T. Cazzolato, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
2020	J	`jnl`	Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Comput. Methods Programs Biomed. Daniel Y. T. Chino, Lucas C. Scabora, Mirela T. Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina Jr., 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
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	J	`jnl`	3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. CoRR Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma J. M. Traina
2019	—	`conf`	A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice. SBBD Mirela T. Cazzolato, Lucas Santiago Rodrigues, Lucas C. Scabora, Guilherme F. Zabot, Guilherme Q. Vasconcelos, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Robson L. F. Cordeiro, Caetano Traina Jr., 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	A	`conf`	Efficient and Reliable Estimation of Cell Positions. CIKM Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
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
2017	B	`conf`	Efficiently Indexing Multiple Repositories of Medical Image Databases. CBMS Paulo H. Oliveira, Lucas C. Scabora, Mirela T. Cazzolato, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.
2017	B	`conf`	Semantic Similarity Group By Operators for Metric Data. SISAP Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.
2016	C	`conf`	A Label-Scaled Similarity Measure for Content-Based Image Retrieval. ISM Gustavo Blanco, Marcos Vinicius Naves Bedo, Mirela T. Cazzolato, Lúcio F. D. Santos, Ana Elisa Serafim Jorge, Caetano Traina Jr., Paulo M. Azevedo-Marques, Agma J. M. Traina
2016	Misc	`conf`	ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods. SAC Jéssica Andressa de Souza, Mirela T. Cazzolato, Agma J. M. Traina
2016	Misc	`conf`	Unveiling smoke in social images with the SmokeBlock approach. SAC Mirela T. Cazzolato, Marcos Vinicius Naves Bedo, Alceu Ferraz Costa, Jéssica Andressa de Souza, Caetano Traina Jr., José Fernando Rodrigues Jr., Agma J. M. Traina
2015	—	`conf`	Techniques for Effective and Efficient Fire Detection from Social Media Images. ICEIS (1) Marcos Vinicius Naves Bedo, Gustavo Blanco, Willian D. Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.
2015	J	`jnl`	Techniques for effective and efficient fire detection from social media images. CoRR Marcos Vinicius Naves Bedo, Gustavo Blanco, Willian D. Oliveira, Mirela T. Cazzolato, Alceu Ferraz Costa, José F. Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.