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2020 – today
- 2025
[i2]Amy A. Lee, Narayan Hegde, Nina Deliu, Emily Rosenzweig, Arun Sai Suggala, Sriram Lakshminarasimhan, Qian He, John Hernandez, Martin Seneviratne, Rahul Singh, Pradnesh Kalkar, Karthikeyan Shanmugam, Aravindan Raghuveer, Abhimanyu Singh, My Nguyen, James Taylor, Jatin Alla, Sofia S. Villar, Hülya Emir-Farinas:
A Personalized Exercise Assistant using Reinforcement Learning (PEARL): Results from a four-arm Randomized-controlled Trial. CoRR abs/2508.10060 (2025)- 2024
- [i1]Brydon P. G. Wall, My Nguyen, J. Chuck Harrell, Mikhail G. Dozmorov:
Machine and deep learning methods for predicting 3D genome organization. CoRR abs/2403.03231 (2024) - 2023
- [b1]My Nguyen:
Molecularly Informed Field Theories for Complex Formulation Design. University of California, Santa Barbara, USA, 2023 - [c3]My Nguyen, Duc Vu, Anh Vo, Luke Liang, Philippe J. Giabbanelli:
Preserving Simulation Insight While Removing Data: Verification of Compressed Simulation Traces via Machine Learning. ANNSIM 2023: 345-356 - 2022
- [c2]Khang Luu, My Nguyen, Ton Quang Toai
, Thang Pham, Thanh Do:
Deep Learning and Mosaic algorithm: An efficient combination for single cell segmentation. RIVF 2022: 11-16 - 2021
- [c1]Vu Thanh Nguyen, Mai Viet Tiep, Luong The Dung, Vu Thanh Hien, Tuan Dinh Le, Ton Quang Toai, My Nguyen, Hieu Phan Trung:
Feature Learning and Data Generative Models for Facial Expression Recognition. FDSE 2021: 137-151
Coauthor Index
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