activity
20112023
most citedFairness in Algorithmic Decision Making: An Excursion Through the Lens of Causality

83 citations · 265 across the 27 of their papers we have counts for

collaborators

27 papers

cs.AI2023

Representing and Reasoning with Multi-Stakeholder Qualitative Preference Queries

Samik Basu, Vasant Honavar, Ganesh Ram Santhanam +1

Many decision-making scenarios, e.g., public policy, healthcare, business, and disaster response, require accommodating the preferences of multiple stakeholders. We offer the first…

cs.LG2022

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…

cs.CR2021★ 7 cited

Zooming Into the Darknet: Characterizing Internet Background Radiation and its Structural Changes

Michalis Kallitsis, Vasant Honavar, Rupesh Prajapati +2

Network telescopes or "Darknets" provide a unique window into Internet-wide malicious activities associated with malware propagation, denial of service attacks, scanning performed…

cs.LG2020★ 5 cited

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…

stat.AP2020★ 16 cited

Commuting Network Spillovers and COVID-19 Deaths Across US Counties

Christopher Seto, Aria Khademi, Corina Graif +1

This study explored how population mobility flows form commuting networks across US counties and influence the spread of COVID-19. We utilized 3-level mixed effects negative binomi…

cs.LG2020★ 3 cited

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…