Loc Trinh

According to our database1, Loc Trinh authored at least 10 papers between 2020 and 2023.

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Bibliography

2023
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model.
CoRR, 2023

Self-supervised Sim-to-Real Kinematics Reconstruction for Video-Based Assessment of Intraoperative Suturing Skills.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

2022
Surgical gestures as a method to quantify surgical performance and predict patient outcomes.
npj Digit. Medicine, 2022

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift.
CoRR, 2022

2021
PSML: A Multi-scale Time-series Dataset for Machine Learning in Decarbonized Energy Grids.
CoRR, 2021

MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset.
CoRR, 2021

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

An Examination of Fairness of AI Models for Deepfake Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

DL4Burn: Burn Surgical Candidacy Prediction using Multimodal Deep Learning.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Interpretable Deepfake Detection via Dynamic Prototypes.
CoRR, 2020


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