95 citations · 190 across the 5 of their papers we have counts for
5 papers
ESCAPE: Countering Systematic Errors from Machine's Blind Spots via Interactive Visual Analysis
Yongsu Ahn, Yu-Ru Lin, Panpan Xu +1
Classification models learn to generalize the associations between data samples and their target classes. However, researchers have increasingly observed that machine learning prac…
Interactive Visual Pattern Search on Graph Data via Graph Representation Learning
Huan Song, Zeng Dai, Panpan Xu +1
Graphs are a ubiquitous data structure to model processes and relations in a wide range of domains. Examples include control-flow graphs in programs and semantic scene graphs in im…
Human-in-the-loop Extraction of Interpretable Concepts in Deep Learning Models
Zhenge Zhao, Panpan Xu, Carlos Scheidegger +1
The interpretation of deep neural networks (DNNs) has become a key topic as more and more people apply them to solve various problems and making critical decisions. Concept-based e…
Interpretable and Steerable Sequence Learning via Prototypes
Yao Ming, Panpan Xu, Huamin Qu +1
One of the major challenges in machine learning nowadays is to provide predictions with not only high accuracy but also user-friendly explanations. Although in recent years we have…
An Incremental Dimensionality Reduction Method for Visualizing Streaming Multidimensional Data
Takanori Fujiwara, Jia-Kai Chou, Shilpika +3
Dimensionality reduction (DR) methods are commonly used for analyzing and visualizing multidimensional data. However, when data is a live streaming feed, conventional DR methods ca…