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Matheus Ara˙jo
Matheus Ara˙jo
Other namesMatheus Lima Diniz Araujo, Matheus Araujo
Assistant Professor of Biomedical Engineering at Cleveland Clinic Lerner College of Medicine
Verified email at ccf.org - Homepage
Title
Cited by
Cited by
Year
Comparing and combining sentiment analysis methods
P Gonšalves, M Ara˙jo, F Benevenuto, M Cha
Proceedings of the first ACM conference on Online social networks, 27-38, 2013
5802013
Sentibench-a benchmark comparison of state-of-the-practice sentiment analysis methods
FN Ribeiro, M Ara˙jo, P Gonšalves, M AndrÚ Gonšalves, F Benevenuto
EPJ Data Science 5, 1-29, 2016
5462016
An Evaluation of Machine Translation for Multilingual Sentence-level Sentiment Analysis
M Ara˙jo, JCS Reis, ACM Pereira, F Benevenuto
ACM Symposium on Applied Computing, 2016
1162016
A comparative study of machine translation for multilingual sentence-level sentiment analysis
M Ara˙jo, A Pereira, F Benevenuto
Information Sciences 512, 1078-1102, 2020
1112020
ifeel: A system that compares and combines sentiment analysis methods
M Ara˙jo, P Gonšalves, M Cha, F Benevenuto
Proceedings of the 23rd International Conference on World Wide Web, 75-78, 2014
1002014
Using Facebook ads audiences for global lifestyle disease surveillance: Promises and limitations
M Araujo, Y Mejova, I Weber, F Benevenuto
Proceedings of the 2017 ACM on Web science conference, 253-257, 2017
842017
Sentiment Analysis Methods for Social Media
F Benevenuto, M Ara˙jo, F Ribeiro
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 11-11, 2015
72*2015
Measuring sentiments in online social networks
M Ara˙jo, P Gonšalves, F Benevenuto
Proceedings of the 19th Brazilian Symposium on Multimedia and the web, 97-104, 2013
71*2013
Uma abordagem multilÝngue para anßlise de sentimentos
J Reis, P Gonšalves, M Ara˙jo, AC Pereira, F Benevenuto
Anais do IV Brazilian Workshop on Social Network Analysis and Mining, 2015
322015
iFeel 2.0: A Multilingual Benchmarking System for Sentence-Level Sentiment Analysis
M Araujo, JP Diniz, L Bastos, E Soares, M Ferreira, F Ribeiro, ...
Tenth International AAAI Conference on Web and Social Media, 2016
282016
Ml approach for early detection of sleep apnea treatment abandonment: A case study
M Araujo, R Bhojwani, J Srivastava, L Kazaglis, C Iber
Proceedings of the 2018 International Conference on Digital Health, 75-79, 2018
192018
Towards sentiment analysis for mobile devices
J Messias, JP Diniz, E Soares, M Ferreira, M Araujo, L Bastos, M Miranda, ...
2016 IEEE/ACM International Conference on Advances in Social Networksá…, 2016
122016
Visualizing health awareness in the middle east
M Araujo, Y Mejova, M Aupetit, I Weber
Proceedings of the International AAAI Conference on Web and Social Media 11á…, 2017
92017
Adherence to r-hGH therapy in pediatric growth hormone deficiency: current perspectives on how patient-generated data will transform r-hGH treatment towards integrated care
MO Savage, L Fernandez-Luque, S Graham, P van Dommelen, M Araujo, ...
Patient preference and adherence, 1663-1671, 2022
72022
A data-driven approach for continuous adherence predictions in sleep apnea therapy management
M Araujo, L Kazaglis, C Iber, J Srivastava
2019 IEEE International Conference on Big Data (Big Data), 2716-2725, 2019
72019
An evaluation of sentiment analysis for mobile devices
J Messias, JP Diniz, E Soares, M Ferreira, M Ara˙jo, L Bastos, M Miranda, ...
Social Network Analysis and Mining 7, 1-11, 2017
72017
Cluster analysis of upper airway stimulation adherence patterns and implications on clinical care
RJ Soose, M Araujo, K Faber, A Roy, K Lee, Q Ni, J Srivastava, PJ Strollo
Sleep 45 (11), zsac049, 2022
62022
Visualizing geo-demographic urban data
M Araujo, Y Mejova, M Aupetit, I Weber
Companion of the 2018 ACM Conference on Computer Supported Cooperative Worká…, 2018
52018
Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy
M Araujo, P van Dommelen, E Koledova, J Srivastava
Public Health and Informatics: Proceedings of MIE 2021 281, 133, 2021
42021
Maiby's Algorithm: A Two-Stage Deep Learning Approach for Murmur Detection in Mel Spectrograms for Automatic Auscultation of Congenital Heart Disease
M Araujo, D Zeng, J Palotti, X Xi, Y Shi, L Pyles, Q Ni
2022 Computing in Cardiology (CinC) 498, 1-4, 2022
32022
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