Xinsight: explainable data analysis through the lens of causality

P Ma, R Ding, S Wang, S Han, D Zhang - … of the ACM on Management of …, 2023 - dl.acm.org
In light of the growing popularity of Exploratory Data Analysis (EDA), understanding the
underlying causes of the knowledge acquired by EDA is crucial. However, it remains under …

Across Images and Graphs for Question Answering

Z Wen, J Qian, B Qian, Q Yuan, J Qin… - 2024 IEEE 40th …, 2024 - ieeexplore.ieee.org
Cross-source query serves as a proxy for scene understanding to support many web
applications such as rec-ommendation systems, e-commerce, and e-learning applications …

Algorithms, Applications, and Verification of Causal Structure Learning

P Ma - 2024 - search.proquest.com
Understanding causal relations is one of the most fundamental challenges in scientific
discovery, with applications in areas such as clinical trials and economic analysis. The gold …

Simplifying Human-in-the-loop Data Science Pipeline: Explanations, Debugging, and Data Preparation

Z Miao - 2022 - search.proquest.com
Data science has been reshaping almost every single field in the past decade. The
emerging data science pipeline is empowering a broad range of users of various …

Enhancing Explanation Generation in the CaJaDe System Using Interactive User Feedback

J Lee - 2022 - search.proquest.com
In today's data-driven world, it is becoming increasingly difficult to interpret and understand
query results after going through several manipulation steps, especially on a large …