| Speech vs. text: A comparative analysis of features for depression detection systems MR Morales, R Levitan 2016 IEEE spoken language technology workshop (SLT), 136-143, 2016 | 112 | 2016 |
| A cross-modal review of indicators for depression detection systems M Morales, S Scherer, R Levitan Proceedings of the fourth workshop on computational linguistics and clinical …, 2017 | 82 | 2017 |
| A linguistically-informed fusion approach for multimodal depression detection M Morales, S Scherer, R Levitan proceedings of the fifth workshop on computational linguistics and clinical …, 2018 | 53 | 2018 |
| Automatic recognition of unified parkinson's disease rating from speech with acoustic, i-vector and phonotactic features. G An, DG Brizan, M Ma, M Morales, AR Syed, A Rosenberg Interspeech, 508-512, 2015 | 53 | 2015 |
| An investigation of deep learning systems for suicide risk assessment M Morales, P Dey, T Theisen, D Belitz, N Chernova Proceedings of the sixth workshop on computational linguistics and clinical …, 2019 | 39 | 2019 |
| Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 2 (Industry Papers) A Loukina, M Morales, R Kumar Proceedings of the 2019 Conference of the North American Chapter of the …, 2019 | 31 | 2019 |
| The multimodal assessment of adult attachment security: developing the biometric attachment test F Parra, R Miljkovitch, G Persiaux, M Morales, S Scherer Journal of medical Internet research 19 (4), e100, 2017 | 30 | 2017 |
| Multimodal depression detection: An investigation of features and fusion techniques for automated systems MR Morales City University of New York, 2018 | 23 | 2018 |
| OpenMM: An Open-Source Multimodal Feature Extraction Tool. MR Morales, S Scherer, R Levitan INTERSPEECH, 3354-3358, 2017 | 14 | 2017 |
| Mitigating confounding factors in depression detection using an unsupervised clustering approach MR Morales, R Levitan Computing and Mental Health Workshop (CHI), San Jose, CA, USA, 1-4, 2016 | 11 | 2016 |
| Safety and User Experience of a Generative Artificial Intelligence Digital Mental Health Intervention: Exploratory Randomized Controlled Trial TR Campellone, M Flom, RM Montgomery, L Bullard, MC Pirner, A Pavez, ... Journal of Medical Internet Research 27, e67365, 2025 | 10 | 2025 |
| Team 9: a comparison of simple vs. complex models for suicide risk assessment M Morales, P Dey, K Kohli Proceedings of the seventh workshop on computational linguistics and …, 2021 | 8 | 2021 |
| A comparison of simple vs. Complex models for suicide risk assessment M Morales, P Dey, K Kohli NAACL HLT 2021, 99, 2021 | 4 | 2021 |
| Clarity: Data-driven automatic assessment of product competitiveness S Usmani, M Bernagozzi, Y Huang, M Morales, AS Sarvestani, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (08), 13204 …, 2020 | 4 | 2020 |
| Computerized competitiveness analysis M Morales, S Usmani, B Srivastava, MC Bernagozzi, AS Sarvestani, ... US Patent App. 16/564,252, 2021 | 2 | 2021 |
| Context enabled sender communication awareness alert K Weldemariam, S Speakman, I Goldberg, S KWATRA, M Morales US Patent App. 16/257,583, 2020 | 2 | 2020 |
| Data-Driven Ranking and Visualization of Products by Competitiveness S Usmani, M Bernagozzi, Y Huang, M Morales, AS Sarvestani, ... Proceedings of the AAAI Conference on Artificial Intelligence 34 (09), 13640 …, 2020 | 2 | 2020 |
| Application of Social Network Analysis in the Estimation of Bank Financial Strength During the Financial Crisis M Morales, DG Brizan, H Ghaly, T Hauner, M Ma, S Reza, A Rosenberg | 2 | 2014 |
| Strategic planning using deep learning J Schoeffer, M Morales, AS Sarvestani US Patent 12,430,600, 2025 | 1 | 2025 |
| Clarity 2.0: Improved assessment of product competitiveness from online content Y Huang, M Bernagozzi, M Morales, S Usmani, B Srivastava, M Mullins AI Magazine 42 (2), 59-70, 2021 | 1 | 2021 |
