| Towards emotional support dialog systems S Liu, C Zheng, O Demasi, S Sabour, Y Li, Z Yu, Y Jiang, M Huang arXiv preprint arXiv:2106.01144, 2021 | 197 | 2021 |
| Automated text messaging as an adjunct to cognitive behavioral therapy for depression: a clinical trial A Aguilera, E Bruehlman-Senecal, O Demasi, P Avila Journal of medical Internet research 19 (5), e148, 2017 | 110 | 2017 |
| Meaningless comparisons lead to false optimism in medical machine learning O DeMasi, K Kording, B Recht PloS one 12 (9), e0184604, 2017 | 63 | 2017 |
| Well-being tracking via smartphone-measured activity and sleep: cohort study O DeMasi, S Feygin, A Dembo, A Aguilera, B Recht JMIR mHealth and uHealth 5 (10), e7820, 2017 | 44 | 2017 |
| Dynamics of a delay differential equation with multiple state-dependent delays AR Humphries, OA DeMasi, FMG Magpantay, F Upham Discrete Contin. Dyn. Syst 32 (8), 2701-2727, 2012 | 34 | 2012 |
| A step towards quantifying when an algorithm can and cannot predict an individual's wellbeing O DeMasi, B Recht Proceedings of the 2017 ACM international joint conference on pervasive and …, 2017 | 31 | 2017 |
| Towards augmenting crisis counselor training by improving message retrieval O Demasi, MA Hearst, B Recht Proceedings of the Sixth Workshop on Computational Linguistics and Clinical …, 2019 | 28 | 2019 |
| Understanding communities via hashtag engagement: A clustering based approach O DeMasi, D Mason, J Ma Proceedings of the International AAAI Conference on Web and Social Media 10 …, 2016 | 28 | 2016 |
| A multi-persona chatbot for hotline counselor training O Demasi, Y Li, Z Yu Findings of the Association for Computational Linguistics: EMNLP 2020, 3623-3636, 2020 | 23 | 2020 |
| Identifying HPC codes via performance logs and machine learning O DeMasi, T Samak, DH Bailey Proceedings of the first workshop on Changing landscapes in HPC security, 23-30, 2013 | 22 | 2013 |
| Detecting change in depressive symptoms from daily wellbeing questions, personality, and activity O DeMasi, A Aguilera, B Recht 2016 IEEE Wireless Health (WH), 1-8, 2016 | 12 | 2016 |
| Who benefits most from adding technology to depression treatment and how? An analysis of engagement with a texting adjunct for psychotherapy CA Figueroa, O DeMasi, R Hernandez-Ramos, A Aguilera Telemedicine and e-Health 27 (1), 39-46, 2021 | 9 | 2021 |
| Ad hoc efforts for advancing data science education O DeMasi, A Paxton, K Koy PLoS Computational Biology 16 (5), e1007695, 2020 | 9 | 2020 |
| Dimension reduction using rule ensemble machine learning methods: A numerical study of three ensemble methods O DeMasi, J Meza, DH Bailey arXiv preprint arXiv:1108.6094, 2011 | 6 | 2011 |
| Well-being tracking via smartphone-measured activity and sleep: cohort study. JMIR Mhealth Uhealth. 2017 Oct 05; 5 (10): e137. doi: 10.2196/mhealth. 7820 O DeMasi, S Feygin, A Dembo, A Aguilera, B Recht | 5 | |
| Using Bayesian Optimization for Hardware Design O DeMasi, J Gonzalez, B Recht, J Demmel NIPS Workshop on Bayesian Optimization, 1-5, 2014 | 2 | 2014 |
| It’sa Coyote Eat Deer Feed Tick World: A Deterministic Model of Predator-Prey Interaction in the Northeast K Li, O DeMasi Catalyst: Rice Undergraduate Science and Engineering Review 2, 29-37, 2009 | 1 | 2009 |
| Who Benefits Most from Adding Technology to Depression Treatment and How? An Analysis CA Figueroa, O DeMasi, R Hernandez-Ramos | | 2020 |
| Ratio Between Sleep Quality and Mood: Ecological Momentary Judging Review O Demasi, I Tabatchnik, S Triantafillou, S Saeb, EG Lattie, DC Karpfen, ... JMIR 6, 3, 2019 | | 2019 |
| Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals OA Demasi UC Berkeley, 2019 | | 2019 |
