Mirela T. Cazzolato

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 37

Top Topics

Similarity Queries

Magnetic Resonance

Top Venues

Publications

Pratheeksha Nair, Javin Liu, Catalina Vajiac, Andreas M. Olligschlaeger, Duen Horng Chau, Mirela T. Cazzolato, Cara Jones, Christos Faloutsos, Reihaneh Rabbany
T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking. AAAI (2024)
Larissa Roberta Teixeira, Igor A. R. Eleutério, Mirela T. Cazzolato, Marco A. Gutierrez, Agma J. M. Traina, Caetano Traina Jr.
KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method. ICEIS (1) (2024)
Jean R. Ponciano, Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Agma J. M. Traina
A symptom-based community-weighted similarity approach for inpatient health condition monitoring. CBMS (2024)
Igor A. R. Eleutério, Mirela T. Cazzolato, Larissa Roberta Teixeira, Marco Antonio Gutierrez, Agma Juci Machado Traina, Caetano Traina
MIGUE-Sim: Speeding Up Similarity Queries with Native RDBMS Resources. SAC (2024)
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
TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs. AAAI (2023)
Mirela T. Cazzolato, Marco Antonio Gutierrez, Caetano Traina, Christos Faloutsos, Agma J. M. Traina
Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools. CBMS (2023)
Mirela T. Cazzolato, Lucas Santiago Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Sketch+ for Visual and Correlation-Based Exploratory Data Analysis: A Case Study with COVID-19 Databases. J. Inf. Data Manag. 13 (2) (2022)
Mirela T. Cazzolato, Lucas C. Scabora, Guilherme F. Zabot, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
FeatSet+: Visual Features Extracted from Public Image Datasets. J. Inf. Data Manag. 13 (1) (2022)
Mirela T. Cazzolato, Saranya Vijayakumar, Xinyi Zheng, Namyong Park, Meng-Chieh Lee, Pedro Fidalgo, Bruno Lages, Agma J. M. Traina, Christos Faloutsos
TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs. Big Data (2022)
Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution. Inf. Syst. 105 (2022)
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
Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning. CBMS (2022)
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
Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks. IEEE Access 9 (2021)
Andre Moriyama, Lucas S. Rodrigues, Lucas C. Scabora, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina
VD-tree: how to build an efficient and fit metric access method using voronoi diagrams. SAC (2021)
Lucas C. Scabora, Gabriel Spadon, Mirela T. Cazzolato, Daniel S. Kaster, Agma J. M. Traina, José F. Rodrigues Jr., Caetano Traina Jr.
SHARq: sharing recursive queries in relational databases. SAC (2021)
Mirela T. Cazzolato, Jonathan S. Ramos, Lucas S. Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr., Agma J. M. Traina
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Comput. Biol. Medicine 134 (2021)
Mirela T. Cazzolato, Lucas S. Rodrigues, Marcela X. Ribeiro, Marco A. Gutierrez, Caetano Traina Jr., Agma J. M. Traina
Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases. SBBD (2021)
Jonathan S. Ramos, Jamilly G. Maciel, Mirela T. Cazzolato, Caetano Traina, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging. CBMS (2021)
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
Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining. IEEE Access 9 (2021)
Felipe Taliar Giuntini, Mirela T. Cazzolato, Maria de Jesus Dutra dos Reis, Andrew Thomas Campbell, Agma J. M. Traina, Jó Ueyama
A review on recognizing depression in social networks: challenges and opportunities. J. Ambient Intell. Humaniz. Comput. 11 (11) (2020)
Mirela T. Cazzolato, Jonathan S. Ramos, Lucas S. Rodrigues, Lucas C. Scabora, Daniel Y. T. Chino, Ana Elisa Serafim Jorge, Paulo Mazzoncini de Azevedo Marques, Caetano Traina, Agma J. M. Traina
Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. CBMS (2020)
Daniel Y. T. Chino, Lucas C. Scabora, Mirela T. Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina Jr., Agma J. M. Traina
Segmenting skin ulcers and measuring the wound area using deep convolutional networks. Comput. Methods Programs Biomed. 191 (2020)
Jonathan S. Ramos, Mirela T. Cazzolato, Marcello H. Nogueira-Barbosa, Agma J. M. Traina
FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI. SAC (2020)
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina Jr., Agma J. M. Traina
3DBGrowth: volumetric vertebrae segmentation and reconstruction in magnetic resonance imaging. CoRR (2019)
Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Bruno S. Faiçal, Agma J. M. Traina, Caetano Traina
UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images. CBMS (2019)
Guilherme F. Zabot, Mirela T. Cazzolato, Lucas C. Scabora, Agma J. M. Traina, Caetano Traina
Efficient Indexing of Multiple Metric Spaces with Spectra. ISM (2019)
Mirela T. Cazzolato, Lucas S. 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
A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice. SBBD (2019)
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging. CBMS (2019)
Jonathan S. Ramos, Mirela T. Cazzolato, Bruno S. Faiçal, Oscar A. C. Linares, Marcello H. Nogueira-Barbosa, Caetano Traina, Agma J. M. Traina
Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg. SIBGRAPI (2019)
Mirela T. Cazzolato, Lucas C. Scabora, Marcos R. Nesso Jr., Luis Fernando Milano Oliveira, Alceu Ferraz Costa, Daniel S. Kaster, Marcel Koenigkam-Santos, Paulo Mazzoncini de Azevedo Marques, Caetano Traina Jr., Agma J. M. Traina
-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. Comput. Methods Programs Biomed. 173 (2019)
Paulo H. Oliveira, Lucas C. Scabora, Mirela T. Cazzolato, Willian D. Oliveira, Rafael S. Paixão, Agma J. M. Traina, Caetano Traina
Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories. IEEE J. Biomed. Health Informatics 23 (6) (2019)
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
RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation. CBMS (2018)
Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm
Efficient and Reliable Estimation of Cell Positions. CIKM (2018)
Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.
Semantic Similarity Group By Operators for Metric Data. SISAP (2017)
Paulo H. Oliveira, Lucas C. Scabora, Mirela T. Cazzolato, Willian D. Oliveira, Agma J. M. Traina, Caetano Traina Jr.
Efficiently Indexing Multiple Repositories of Medical Image Databases. CBMS (2017)
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
Unveiling smoke in social images with the SmokeBlock approach. SAC (2016)
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
A Label-Scaled Similarity Measure for Content-Based Image Retrieval. ISM (2016)
Jéssica Andressa de Souza, Mirela T. Cazzolato, Agma J. M. Traina
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods. SAC (2016)
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.
Techniques for Effective and Efficient Fire Detection from Social Media Images. ICEIS (1) (2015)
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.
Techniques for effective and efficient fire detection from social media images. CoRR (2015)