Loc Trinh

11 papers A* 1A 1Misc 1Journal 7Unranked 1
YearRankTypeTitle / Venue / Authors
2023 J jnl
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model.
CoRR
Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu
2023 — conf
Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills.
MICCAI (9)
Loc Trinh, Tim Chu, Zijun Cui, Anand Malpani, Cherine Yang, Istabraq Dalieh, Alvin Hui, Oscar Gomez, Yan Liu, Andrew J. Hung
2022 J jnl
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift.
CoRR
Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu
2022 J jnl
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
npj Digit. Medicine
Runzhuo Ma, Ashwin Ramaswamy, Jiashu Xu, Loc Trinh, Dani Kiyasseh, Timothy N. Chu, Elyssa Y. Wong, Ryan S. Lee, Ivan Rodriguez, Gina Demeo, Aditya Desai, Maxwell X. Otiato, Sidney I. Roberts, Jessica H. Nguyen, Jasper Laca, Yan Liu, Katarina Urbanova, Christian Wagner, Animashree Anandkumar, Jim C. Hu, Andrew J. Hung
2021 A* conf
An Examination of Fairness of AI Models for Deepfake Detection.
IJCAI
Loc Trinh, Yan Liu
2021 J jnl
An Examination of Fairness of AI Models for Deepfake Detection.
CoRR
Loc Trinh, Yan Liu
2021 Misc conf
DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning.
AMIA
Sirisha Rambhatla, Samantha Huang, Loc Trinh, Mengfei Zhang, Boyuan Long, Mingtao Dong, Vyom Unadkat, Haig Yenikomshian, Justin Gillenwater, Yan Liu
2021 A conf
Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes.
WACV
Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu
2021 J jnl
MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset.
CoRR
Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu
2021 J jnl
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids.
CoRR
Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie
2020 J jnl
Interpretable Deepfake Detection via Dynamic Prototypes.
CoRR
Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu