95 citations · 132 across the 3 of their papers we have counts for
4 papers
DECE: Decision Explorer with Counterfactual Explanations for Machine Learning Models
Furui Cheng, Yao Ming, Huamin Qu
With machine learning models being increasingly applied to various decision-making scenarios, people have spent growing efforts to make machine learning models more transparent and…
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…
Learning Vis Tools: Teaching Data Visualization Tutorials
Leo Yu-Ho Lo, Yao Ming, Huamin Qu
Teaching and advocating data visualization are among the most important activities in the visualization community. With growing interest in data analysis from business and science…
Understanding Hidden Memories of Recurrent Neural Networks
Yao Ming, Shaozu Cao, Ruixiang Zhang +4
Recurrent neural networks (RNNs) have been successfully applied to various natural language processing (NLP) tasks and achieved better results than conventional methods. However, t…