research
∙
09/02/2023
Autonomous Soft Tissue Retraction Using Demonstration-Guided Reinforcement Learning
In the context of surgery, robots can provide substantial assistance by ...
share
research
∙
11/09/2022
Strategy to select most efficient RCT samples based on observational data
Randomized experiments can provide unbiased estimates of sample average ...
research
∙
10/30/2022
Nonlinear Causal Discovery via Kernel Anchor Regression
Learning causal relationships is a fundamental problem in science. Ancho...
research
∙
09/26/2022
Rerandomization and covariate adjustment in split-plot designs
The split-plot design arises from agricultural sciences with experimenta...
research
∙
06/03/2022
Multi-user Co-inference with Batch Processing Capable Edge Server
Graphics processing units (GPUs) can improve deep neural network inferen...
research
∙
12/23/2021
Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review
Despite the myriad peer-reviewed papers demonstrating novel Artificial I...
research
∙
09/23/2020
Edge Learning with Timeliness Constraints: Challenges and Solutions
Future machine learning (ML) powered applications, such as autonomous dr...
research
∙
07/14/2020
Joint Device Scheduling and Resource Allocation for Latency Constrained Wireless Federated Learning
In federated learning (FL), devices contribute to the global training by...
research
∙
11/03/2019
Device Scheduling with Fast Convergence for Wireless Federated Learning
Owing to the increasing need for massive data analysis and model trainin...
research
∙
03/08/2019
