Federated distributed deep reinforcement learning for recommendation-enabled edge caching
Recently, in response to the low efficiency and high transmission latency of traditional
centralized content delivery networks, especially in congested scenarios, edge caching has …
centralized content delivery networks, especially in congested scenarios, edge caching has …
[HTML][HTML] AVA: An automated and ai-driven intelligent visual analytics framework
J Wang, X Li, C Li, D Peng, AZ Wang, Y Gu, X Lai… - Visual Informatics, 2024 - Elsevier
With the incredible growth of the scale and complexity of datasets, creating proper
visualizations for users becomes more and more challenging in large datasets. Though …
visualizations for users becomes more and more challenging in large datasets. Though …
The State of the Art in User‐Adaptive Visualizations
Research shows that user traits can modulate the use of visualization systems and have a
measurable influence on users' accuracy, speed, and attention when performing visual …
measurable influence on users' accuracy, speed, and attention when performing visual …
A framework to improve causal inferences from visualizations using counterfactual operators
Exploratory data analysis of high-dimensional datasets is a crucial task for which visual
analytics can be especially useful. However, the ad hoc nature of exploratory analysis can …
analytics can be especially useful. However, the ad hoc nature of exploratory analysis can …
Beyond Correlation: Incorporating Counterfactual Guidance to Better Support Exploratory Visual Analysis
Providing effective guidance for users has long been an important and challenging task for
efficient exploratory visual analytics, especially when selecting variables for visualization in …
efficient exploratory visual analytics, especially when selecting variables for visualization in …