83 citations · 265 across the 27 of their papers we have counts for
9 papers · 1 filter
Forecasting User Interests Through Topic Tag Predictions in Online Health Communities
Amogh Subbakrishna Adishesha, Lily Jakielaszek, Fariha Azhar +6
The increasing reliance on online communities for healthcare information by patients and caregivers has led to the increase in the spread of misinformation, or subjective, anecdota…
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals
Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun +1
Time series data is prevalent in a wide variety of real-world applications and it calls for trustworthy and explainable models for people to understand and fully trust decisions ma…
A Causal Lens for Peeking into Black Box Predictive Models: Predictive Model Interpretation via Causal Attribution
Aria Khademi, Vasant Honavar
With the increasing adoption of predictive models trained using machine learning across a wide range of high-stakes applications, e.g., health care, security, criminal justice, fin…
Towards Robust Relational Causal Discovery
Sanghack Lee, Vasant Honavar
We consider the problem of learning causal relationships from relational data. Existing approaches rely on queries to a relational conditional independence (RCI) oracle to establis…
Node Injection Attacks on Graphs via Reinforcement Learning
Yiwei Sun, Suhang Wang, Xianfeng Tang +2
Real-world graph applications, such as advertisements and product recommendations make profits based on accurately classify the label of the nodes. However, in such scenarios, ther…
Fairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality
Aria Khademi, Sanghack Lee, David Foley +1
As virtually all aspects of our lives are increasingly impacted by algorithmic decision making systems, it is incumbent upon us as a society to ensure such systems do not become in…