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Projna Paromita
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2020 – today
- 2023
- [j3]Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari:
Modeling inter-individual differences in ambulatory-based multimodal signals via metric learning: a case study of personalized well-being estimation of healthcare workers. Frontiers Digit. Health 5 (2023) - [j2]Projna Paromita, Alaa Khader, Sydney R. Begerowski, Suzanne T. Bell, Theodora Chaspari:
Linguistic and Vocal Markers of Microbehaviors Between Team Members During Analog Space Exploration Missions. IEEE Pervasive Comput. 22(2): 7-18 (2023) - 2021
- [c5]Michael Yang, Projna Paromita, Theodora Chaspari, Anurag Das, Seyedhooman Sajjadi, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
A Metric Learning Approach for Personalized Meal Macronutrient Estimation from Postprandial Glucose Response Signals. BHI 2021: 1-5 - [c4]Anurag Das, Seyedhooman Sajjadi, Bobak Mortazavi, Theodora Chaspari, Projna Paromita, Laura Ruebush, Nicolaas E. P. Deutz, Ricardo Gutierrez-Osuna:
A Sparse Coding Approach to Automatic Diet Monitoring with Continuous Glucose Monitors. ICASSP 2021: 2900-2904 - [c3]Seyedhooman Sajjadi, Anurag Das, Ricardo Gutierrez-Osuna, Theodora Chaspari, Projna Paromita, Laura E. Ruebush, Nicolaas E. P. Deutz, Bobak J. Mortazavi:
Towards The Development of Subject-Independent Inverse Metabolic Models. ICASSP 2021: 3970-3974 - [c2]Projna Paromita, Theodora Chaspari, Seyedhooman Sajjadi, Anurag Das, Bobak J. Mortazavi, Ricardo Gutierrez-Osuna:
Personalized Meal Classification Using Continuous Glucose Monitors. IUI Workshops 2021 - 2020
- [j1]Vinesh Ravuri, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth S. Narayanan, Theodora Chaspari:
Investigating Group-Specific Models of Hospital Workers' Well-Being: Implications for Algorithmic Bias. Int. J. Semantic Comput. 14(4): 477-499 (2020) - [c1]George Hadjiantonis, Projna Paromita, Karel Mundnich, Amrutha Nadarajan, Brandon M. Booth, Shrikanth Narayanan, Theodora Chaspari:
Dynamical systems modeling of day-to-day signal-based patterns of emotional self-regulation and stress spillover in highly-demanding health professions. EMBC 2020: 284-287
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