Suivre
Matheus Araújo
Matheus Araújo
Autres nomsMatheus Lima Diniz Araujo, Matheus Araujo
Assistant Professor of Biomedical Engineering at Cleveland Clinic Lerner College of Medicine
Adresse e-mail validée de ccf.org - Page d'accueil
Titre
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Année
Comparing and combining sentiment analysis methods
P Gonçalves, M Araújo, F Benevenuto, M Cha
Proceedings of the first ACM conference on Online social networks, 27-38, 2013
5882013
Sentibench-a benchmark comparison of state-of-the-practice sentiment analysis methods
FN Ribeiro, M Araújo, P Gonçalves, M André Gonçalves, F Benevenuto
EPJ Data Science 5, 1-29, 2016
5612016
An Evaluation of Machine Translation for Multilingual Sentence-level Sentiment Analysis
M Araújo, JCS Reis, ACM Pereira, F Benevenuto
ACM Symposium on Applied Computing, 2016
1212016
A comparative study of machine translation for multilingual sentence-level sentiment analysis
M Araújo, A Pereira, F Benevenuto
Information Sciences 512, 1078-1102, 2020
1202020
ifeel: A system that compares and combines sentiment analysis methods
M Araújo, P Gonçalves, 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
852017
Sentiment Analysis Methods for Social Media
F Benevenuto, M Araújo, 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 Araújo, P Gonçalves, F Benevenuto
Proceedings of the 19th Brazilian Symposium on Multimedia and the web, 97-104, 2013
72*2013
Uma abordagem multilíngue para análise de sentimentos
J Reis, P Gonçalves, M Araújo, 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 Networks …, 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 11 …, 2017
92017
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
72022
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 Araújo, L Bastos, M Miranda, ...
Social Network Analysis and Mining 7, 1-11, 2017
72017
Visualizing geo-demographic urban data
M Araujo, Y Mejova, M Aupetit, I Weber
Companion of the 2018 ACM Conference on Computer Supported Cooperative Work …, 2018
52018
Machine learning polysomnographically-derived electroencephalography biomarkers predictive of epworth sleepiness scale
M Araujo, S Ghosn, L Wang, N Hariadi, S Wells, CY Saab, R Mehra
Scientific Reports 13 (1), 9120, 2023
4*2023
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
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