research
∙
03/16/2023
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Classification models learn to generalize the associations between data ...
share
research
∙
02/18/2022
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
Graphs are a ubiquitous data structure to model processes and relations ...
research
∙
08/08/2021
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
The interpretation of deep neural networks (DNNs) has become a key topic...
research
∙
07/23/2019
Interpretable and Steerable Sequence Learning via Prototypes
One of the major challenges in machine learning nowadays is to provide p...
research
∙
05/10/2019
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Dimensionality reduction (DR) methods are commonly used for analyzing an...
research
∙
09/07/2018