Matheus Araújo

Orcid: 0000-0003-0979-3417

Affiliations:
  • Cleveland Clinic Lerner College of Medicine, Cleveland, OH, USA
  • University of Minnesota, Computer Science & Engineering, Minneapolis, MN, USA


According to our database1, Matheus Araújo authored at least 22 papers between 2013 and 2022.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2022
Maiby's Algorithm: A Two-Stage Deep Learning Approach for Murmur Detection in Mel Spectrograms for Automatic Auscultation of Congenital Heart Disease.
Proceedings of the Computing in Cardiology, 2022

2021
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy.
Proceedings of the Public Health and Informatics, 2021

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems.
Proceedings of the Applying the FAIR Principles to Accelerate Health Research in Europe in the Post COVID-19 Era, 2021

Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural Networks.
Proceedings of the 34th IEEE International Symposium on Computer-Based Medical Systems, 2021

2020
A comparative study of machine translation for multilingual sentence-level sentiment analysis.
Inf. Sci., 2020

2019
A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
ML Approach for Early Detection of Sleep Apnea Treatment Abandonment: A Case Study.
Proceedings of the 2018 International Conference on Digital Health, 2018

Visualizing Geo-Demographic Urban Data.
Proceedings of the Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2018

2017
An evaluation of sentiment analysis for mobile devices.
Soc. Netw. Anal. Min., 2017

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations.
Proceedings of the 2017 ACM on Web Science Conference, 2017

Visualizing Health Awareness in the Middle East.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

2016
SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods.
EPJ Data Sci., 2016

Emotional Fingerprint from Authors in Classical Literature.
Proceedings of the 22nd Brazilian Symposium on Multimedia and the Web, 2016

An evaluation of machine translation for multilingual sentence-level sentiment analysis.
Proceedings of the 31st Annual ACM Symposium on Applied Computing, 2016

iFeel 2.0: A Multilingual Benchmarking System for Sentence-Level Sentiment Analysis.
Proceedings of the Tenth International Conference on Web and Social Media, 2016

Towards sentiment analysis for mobile devices.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods.
CoRR, 2015

Sentiment Analysis Methods for Social Media.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

2014
iFeel: a system that compares and combines sentiment analysis methods.
Proceedings of the 23rd International World Wide Web Conference, 2014

2013
Measuring sentiments in online social networks.
Proceedings of the 19th Brazilian Symposium on Multimedia and the Web, 2013

Comparing and combining sentiment analysis methods.
Proceedings of the Conference on Online Social Networks, 2013


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