2 citations · 7 across the 7 of their papers we have counts for
7 papers
Interpreting Time Series Transformer Models and Sensitivity Analysis of Population Age Groups to COVID-19 Infections
Md Khairul Islam, Tyler Valentine, Timothy Joowon Sue +5
Interpreting deep learning time series models is crucial in understanding the model's behavior and learning patterns from raw data for real-time decision-making. However, the compl…
Fairness and Privacy in Federated Learning and Their Implications in Healthcare
Navya Annapareddy, Jade Preston, Judy Fox
Currently, many contexts exist where distributed learning is difficult or otherwise constrained by security and communication limitations. One common domain where this is a conside…
Towards Fair and Privacy Preserving Federated Learning for the Healthcare Domain
Navya Annapareddy, Yingzheng Liu, Judy Fox
Federated learning enables data sharing in healthcare contexts where it might otherwise be difficult due to data-use-ordinances or security and communication constraints. Distribut…
Population Age Group Sensitivity for COVID-19 Infections with Deep Learning
Md Khairul Islam, Tyler Valentine, Royal Wang +3
The COVID-19 pandemic has created unprecedented challenges for governments and healthcare systems worldwide, highlighting the critical importance of understanding the factors that…
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Md Khairul Islam, Di Zhu, Yingzheng Liu +3
Interpretable machine learning plays a key role in healthcare because it is challenging in understanding feature importance in deep learning model predictions. We propose a novel f…
Intel Optane DCPMM and Serverless Computing
Ahmet Uyar, Selahattin Akkas, Jiayu Li +1
This report describes 1) how we use Intel's Optane DCPMM in the memory Mode. We investigate the the scalability of applications on a single Optane machine, using Subgraph counting…
HySec-Flow: Privacy-Preserving Genomic Computing with SGX-based Big-Data Analytics Framework
Chathura Widanage, Weijie Liu, Jiayu Li +4
Trusted execution environments (TEE) such as Intel's Software Guard Extension (SGX) have been widely studied to boost security and privacy protection for the computation of sensiti…