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2020 – today
- 2024
[c34]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: 22276-22284- [c33]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: 260-266 - [c32]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: 73-84 - [c31]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: 321-328 - 2023
- [c30]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: 16410-16412 - [c29]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: 117-122 - [c28]Mirela Teixeira Cazzolato, Saranya Vijayakumar, Meng-Chieh Lee, Catalina Vajiac, Namyong Park, Pedro Fidalgo, Agma J. M. Traina, Christos Faloutsos:
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs. CIKM 2023: 4509-4515 - 2022
- [j11]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: 101955 (2022) - [j10]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) - [j9]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) - [c27]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. IEEE Big Data 2022: 2214-2217 - [c26]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: 78-83 - 2021
- [j8]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: 93182-93194 (2021) - [j7]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: 97621-97635 (2021) - [j6]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:
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine. Comput. Biol. Medicine 134: 104489 (2021) - [c25]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: 389-394 - [c24]Andre Moriyama, Lucas Santiago 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: 327-335 - [c23]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: 336-339 - [c22]Mirela T. Cazzolato, Lucas Santiago 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: 25-36 - 2020
- [j5]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: 105376 (2020) - [j4]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): 4713-4729 (2020) - [c21]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:
Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine. CBMS 2020: 356-361 - [c20]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: 198-201 - [c19]Lucas Santiago Rodrigues, Mirela Teixeira Cazzolato, Agma Juci Machado Traina, Caetano Traina:
Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values. SISAP 2020: 168-176
2010 – 2019
- 2019
- [j3]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:
dp-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions. Comput. Methods Programs Biomed. 173: 27-34 (2019) - [j2]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): 2220-2229 (2019) - [c18]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: 306-311 - [c17]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: 435-440 - [c16]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: 169-176 - [c15]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:
A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice. SBBD 2019: 109-120 - [c14]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: 76-83 - [i2]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 abs/1906.10288 (2019) - 2018
- [c13]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: 71-76 - [c12]Daniel Yoshinobu Takada Chino, Lucas de Carvalho Scabora, Mirela Teixeira Cazzolato, Ana Elisa Serafim Jorge, Caetano Traina, Agma Juci Machado Traina:
ICARUS: Retrieving Skin Ulcer Images through Bag-of-Signatures. CBMS 2018: 82-87 - [c11]Mirela T. Cazzolato, Agma J. M. Traina, Klemens Böhm:
Efficient and Reliable Estimation of Cell Positions. CIKM 2018: 1043-1052 - 2017
- [c10]Mirela Teixeira Cazzolato, Lucas de Carvalho Scabora, Alceu Ferraz Costa, Marcos Roberto Nesso Junior, Luis Fernando Milano Oliveira, Daniel dos Santos Kaster, Caetano Traina Júnior, Agma Juci Machado Traina:
BREATH: Heat Maps Assisting the Detection of Abnormal Lung Regions in CT Scans. CBMS 2017: 248-253 - [c9]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: 286-291 - [c8]Natan A. Laverde, Mirela T. Cazzolato, Agma J. M. Traina, Caetano Traina Jr.:
Semantic Similarity Group By Operators for Metric Data. SISAP 2017: 247-261 - 2016
- [c7]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: 20-25 - [c6]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: 49-54 - [c5]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: 986-991 - 2015
- [c4]Marcos Vinicius Naves Bedo, Willian Dener de Oliveira, Mirela Teixeira Cazzolato, Alceu Ferraz Costa, Gustavo Blanco, José Fernando Rodrigues Jr., Agma J. M. Traina, Caetano Traina Jr.:
Fire Detection from Social Media Images by Means of Instance-Based Learning. ICEIS (Revised Selected Papers) 2015: 23-44 - [c3]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: 34-45 - [i1]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 abs/1506.03844 (2015) - 2014
- [j1]Mirela Teixeira Cazzolato, Marcela Xavier Ribeiro:
Classifying High-Speed Data Streams Using Statistical Decision Trees. J. Inf. Data Manag. 5(1): 84-93 (2014) - 2013
- [c2]Mirela Teixeira Cazzolato, Marcela Xavier Ribeiro:
A statistical decision tree algorithm for medical data stream mining. CBMS 2013: 389-392 - [c1]Mirela Teixeira Cazzolato, Marcela Xavier Ribeiro, Cristiane A. Yaguinuma, Marilde Terezinha Prado Santos:
A Statistical Decision Tree Algorithm for Data Stream Classification. ICEIS (1) 2013: 217-223
Coauthor Index
aka: Marcello H. Nogueira-Barbosa
aka: Lucas de Carvalho Scabora
aka: Agma Juci Machado Traina
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last updated on 2024-10-07 21:23 CEST by the dblp team
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