Mirela Teixeira Cazzolato

Orcid: 0000-0002-4364-010X

According to our database1, Mirela Teixeira Cazzolato authored at least 45 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
MIGUE-Sim: Speeding Up Similarity Queries with Native RDBMS Resources.
Proceedings of the 39th ACM/SIGAPP Symposium on Applied Computing, 2024

KluSIM: Speeding up K-Medoids Clustering over Dimensional Data with Metric Access Method.
Proceedings of the 26th International Conference on Enterprise Information Systems, 2024

A symptom-based community-weighted similarity approach for inpatient health condition monitoring.
Proceedings of the 37th IEEE International Symposium on Computer-Based Medical Systems, 2024

T-NET: Weakly Supervised Graph Learning for Combatting Human Trafficking.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
CallMine: Fraud Detection and Visualization of Million-Scale Call Graphs.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Exploratory Data Analysis in Electronic Health Records Graphs: Intuitive Features and Visualization Tools.
Proceedings of the 36th IEEE International Symposium on Computer-Based Medical Systems, 2023

TgrApp: Anomaly Detection and Visualization of Large-Scale Call Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
FeatSet+: Visual Features Extracted from Public Image Datasets.
J. Inf. Data Manag., 2022

Sketch+ for Visual and Correlation-Based Exploratory Data Analysis: A Case Study with COVID-19 Databases.
J. Inf. Data Manag., 2022

Establishing trajectories of moving objects without identities: The intricacies of cell tracking and a solution.
Inf. Syst., 2022

Analysis of vertebrae without fracture on spine MRI to assess bone fragility: A Comparison of Traditional Machine Learning and Deep Learning.
Proceedings of the 35th IEEE International Symposium on Computer-Based Medical Systems, 2022

TgraphSpot: Fast and Effective Anomaly Detection for Time-Evolving Graphs.
Proceedings of the IEEE International Conference on Big Data, 2022

2021
The UTrack framework for segmenting and measuring dermatological ulcers through telemedicine.
Comput. Biol. Medicine, 2021

Tracing the Emotional Roadmap of Depressive Users on Social Media Through Sequential Pattern Mining.
IEEE Access, 2021

Modeling and Assessing the Temporal Behavior of Emotional and Depressive User Interactions on Social Networks.
IEEE Access, 2021

Similarity Search and Correlation-Based Exploratory Analysis in EHRs: A Case Study with COVID-19 Databases.
Proceedings of the 36th Brazilian Symposium on Databases, 2021

SHARq: sharing recursive queries in relational databases.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

VD-tree: how to build an efficient and fit metric access method using voronoi diagrams.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
A review on recognizing depression in social networks: challenges and opportunities.
J. Ambient Intell. Humaniz. Comput., 2020

Segmenting skin ulcers and measuring the wound area using deep convolutional networks.
Comput. Methods Programs Biomed., 2020

Taking Advantage of Highly-Correlated Attributes in Similarity Queries with Missing Values.
Proceedings of the Similarity Search and Applications - 13th International Conference, 2020

FINE: improving time and precision of segmentation techniques for vertebral compression fractures in MRI.
Proceedings of the SAC '20: The 35th ACM/SIGAPP Symposium on Applied Computing, online event, [Brno, Czech Republic], March 30, 2020

Semi-Automatic Ulcer Segmentation and Wound Area Measurement Supporting Telemedicine.
Proceedings of the 33rd IEEE International Symposium on Computer-Based Medical Systems, 2020

2019
Employing Domain Indexes to Efficiently Query Medical Data From Multiple Repositories.
IEEE J. Biomed. Health Informatics, 2019

<i>dp</i>-BREATH: Heat maps and probabilistic classification assisting the analysis of abnormal lung regions.
Comput. Methods Programs Biomed., 2019

Fast and Smart Segmentation of Paraspinal Muscles in Magnetic Resonance Imaging with CleverSeg.
Proceedings of the 32nd SIBGRAPI Conference on Graphics, Patterns and Images, 2019

A DBMS-Based Framework for Content-Based Retrieval and Analysis of Skin Ulcer Images in Medical Practice.
Proceedings of the 34th Brazilian Symposium on Databases, 2019

Efficient Indexing of Multiple Metric Spaces with Spectra.
Proceedings of the IEEE International Symposium on Multimedia, 2019

UCORM: Indexing Uncorrelated Metric Spaces for Concise Content-Based Retrieval of Medical Images.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

3DBGrowth: Volumetric Vertebrae Segmentation and Reconstruction in Magnetic Resonance Imaging.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

2018
Efficient and Reliable Estimation of Cell Positions.
Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

RAFIKI: Retrieval-Based Application for Imaging and Knowledge Investigation.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

ICARUS: Retrieving Skin Ulcer Images through Bag-of-Signatures.
Proceedings of the 31st IEEE International Symposium on Computer-Based Medical Systems, 2018

2017
Semantic Similarity Group By Operators for Metric Data.
Proceedings of the Similarity Search and Applications - 10th International Conference, 2017

Efficiently Indexing Multiple Repositories of Medical Image Databases.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

BREATH: Heat Maps Assisting the Detection of Abnormal Lung Regions in CT Scans.
Proceedings of the 30th IEEE International Symposium on Computer-Based Medical Systems, 2017

2016
ClusMAM: fast and effective unsupervised clustering of large complex datasets using metric access methods.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

Unveiling smoke in social images with the SmokeBlock approach.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

A Label-Scaled Similarity Measure for Content-Based Image Retrieval.
Proceedings of the IEEE International Symposium on Multimedia, 2016

2015
Fire Detection from Social Media Images by Means of Instance-Based Learning.
Proceedings of the Enterprise Information Systems - 17th International Conference, 2015

Techniques for Effective and Efficient Fire Detection from Social Media Images.
Proceedings of the ICEIS 2015, 2015

2014
Classifying High-Speed Data Streams Using Statistical Decision Trees.
J. Inf. Data Manag., 2014

2013
A Statistical Decision Tree Algorithm for Data Stream Classification.
Proceedings of the ICEIS 2013, 2013

A statistical decision tree algorithm for medical data stream mining.
Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, 2013


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