Search Results for author: Loc Trinh

Found 5 papers, 1 papers with code

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift

no code implementations17 Nov 2022 Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu

Using the proposed synthetic dataset, we provide a holistic analysis on the forecasting performance of three different state-of-the-art forecasting methods.

Benchmarking Time Series Analysis

A Multi-scale Time-series Dataset with Benchmark for Machine Learning in Decarbonized Energy Grids

1 code implementation12 Oct 2021 Xiangtian Zheng, Nan Xu, Loc Trinh, Dongqi Wu, Tong Huang, S. Sivaranjani, Yan Liu, Le Xie

The electric grid is a key enabling infrastructure for the ambitious transition towards carbon neutrality as we grapple with climate change.

Time Series Analysis

An Examination of Fairness of AI Models for Deepfake Detection

no code implementations2 May 2021 Loc Trinh, Yan Liu

Recent studies have demonstrated that deep learning models can discriminate based on protected classes like race and gender.

DeepFake Detection Face Swapping +1

MIMIC-IF: Interpretability and Fairness Evaluation of Deep Learning Models on MIMIC-IV Dataset

no code implementations12 Feb 2021 Chuizheng Meng, Loc Trinh, Nan Xu, Yan Liu

The recent release of large-scale healthcare datasets has greatly propelled the research of data-driven deep learning models for healthcare applications.

Fairness Feature Importance +1

Interpretable and Trustworthy Deepfake Detection via Dynamic Prototypes

no code implementations28 Jun 2020 Loc Trinh, Michael Tsang, Sirisha Rambhatla, Yan Liu

In this paper we propose a novel human-centered approach for detecting forgery in face images, using dynamic prototypes as a form of visual explanations.

DeepFake Detection Face Swapping

Cannot find the paper you are looking for? You can Submit a new open access paper.