Comparing and combining sentiment analysis methods. - Pollyanna Gonçalves; Matheus Araújo 001; Fabrício Benevenuto; Meeyoung Cha (COSN, 2013)

Measuring sentiments in online social networks. - Matheus Araújo 001; Pollyanna Gonçalves; Fabrício Benevenuto (WebMedia, 2013)

iFeel: a system that compares and combines sentiment analysis methods. - Matheus Araújo 001; Pollyanna Gonçalves; Meeyoung Cha; Fabrício Benevenuto (WWW (Companion Volume), 2014)

Sentiment Analysis Methods for Social Media. - Fabrício Benevenuto; Matheus Araújo 001; Filipe Nunes Ribeiro (WebMedia, 2015)

A Benchmark Comparison of State-of-the-Practice Sentiment Analysis Methods. - Filipe Nunes Ribeiro; Matheus Araújo 001; Pollyanna Gonçalves; Fabrício Benevenuto; Marcos André Gonçalves (CoRR, 2015)

Towards sentiment analysis for mobile devices. - Johnnatan Messias; João Paulo Diniz; Elias Soares; Miller Ferreira; Matheus Araújo 001; Lucas Bastos; Manoel Miranda; Fabrício Benevenuto (ASONAM, 2016)

iFeel 2.0: A Multilingual Benchmarking System for Sentence-Level Sentiment Analysis. - Matheus Lima Diniz Araújo; João Paulo Diniz; Lucas Bastos; Elias Soares; Manoel Junior; Miller Ferreira; Filipe Nunes Ribeiro; Fabrício Benevenuto (ICWSM, 2016)

An evaluation of machine translation for multilingual sentence-level sentiment analysis. - Matheus Araújo 001; Júlio Cesar dos Reis; Adriano C. M. Pereira; Fabrício Benevenuto (SAC, 2016)

Emotional Fingerprint from Authors in Classical Literature. - Matheus Lima Diniz Araújo; Iuro B. P. Nascimento; Gustavo Caetano Rafael; Raquel Cardoso de Melo Minardi; Fabrício Benevenuto (WebMedia, 2016)

SentiBench - a benchmark comparison of state-of-the-practice sentiment analysis methods. - Filipe N. Ribeiro; Matheus Araújo 001; Pollyanna Gonçalves; Marcos André Gonçalves; Fabrício Benevenuto (EPJ Data Sci., 2016)

Visualizing Health Awareness in the Middle East. - Matheus Lima Diniz Araújo; Yelena Mejova; Michaël Aupetit 001; Ingmar Weber (ICWSM, 2017)

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations. - Matheus Araújo 001; Yelena Mejova; Ingmar Weber; Fabrício Benevenuto (WebSci, 2017)

An evaluation of sentiment analysis for mobile devices. - Johnnatan Messias; João Paulo Diniz; Elias Soares; Miller Ferreira; Matheus Araújo 001; Lucas Bastos; Manoel Miranda; Fabrício Benevenuto (Soc. Netw. Anal. Min., 2017)

Visualizing Geo-Demographic Urban Data. - Matheus Araújo 001; Yelena Mejova; Michaël Aupetit 001; Ingmar Weber (CSCW Companion, 2018)

ML Approach for Early Detection of Sleep Apnea Treatment Abandonment: A Case Study. - Matheus Araújo 001; Rahul Bhojwani; Jaideep Srivastava; Louis Kazaglis; Conrad Iber (DH, 2018)

A Data-Driven Approach for Continuous Adherence Predictions in Sleep Apnea Therapy Management. - Matheus Araújo 001; Louis Kazaglis; Conrad Iber; Jaideep Srivastava (IEEE BigData, 2019)

A comparative study of machine translation for multilingual sentence-level sentiment analysis. - Matheus Araújo 001; Adriano C. M. Pereira; Fabrício Benevenuto (Inf. Sci., 2020)

Facilitating CPAP Adherence with Personalized Recommendations Using Artificial Neural Networks. - Matheus Araújo 001; Tara Pereira; Jaideep Srivastava; Conrad Iber (CBMS, 2021)

Defining and Monitoring Patient Clusters Based on Therapy Adherence in Sleep Apnea Management. - Mourya Karan Reddy Baddam; Matheus Araújo 001; Jaideep Srivastava (CBMS, 2021)

A Data-Driven Intervention Framework for Improving Adherence to Growth Hormone Therapy Based on Clustering Analysis and Traffic Light Alerting Systems. - Matheus Araújo 001; Paula van Dommelen; Jaideep Srivastava; Ekaterina Koledova (EFMI-STC, 2021)

Using Deep Learning for Individual-Level Predictions of Adherence with Growth Hormone Therapy. - Matheus Araújo 001; Paula van Dommelen; Ekaterina Koledova; Jaideep Srivastava (MIE, 2021)

Maiby's Algorithm: A Two-Stage Deep Learning Approach for Murmur Detection in Mel Spectrograms for Automatic Auscultation of Congenital Heart Disease. - Matheus Araújo 001; Dewen Zeng; João Palotti; Xirong Xi; Yiyu Shi 001; Lee Pyles; Quan Ni (CinC, 2022)