9 citations · 27 across the 7 of their papers we have counts for
7 papers
Analyzing Societal Impact of COVID-19: A Study During the Early Days of the Pandemic
Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
In this paper, we collect and study Twitter communications to understand the societal impact of COVID-19 in the United States during the early days of the pandemic. With infections…
Characterizing Human Mobility Patterns During COVID-19 using Cellular Network Data
Necati A. Ayan, Nilson L. Damasceno, Sushil Chaskar +4
In this paper, our goal is to analyze and compare cellular network usage data from pre-lockdown, during lockdown, and post-lockdown phases surrounding the COVID-19 pandemic to unde…
RelEx: A Model-Agnostic Relational Model Explainer
Yue Zhang, David Defazio, Arti Ramesh
In recent years, considerable progress has been made on improving the interpretability of machine learning models. This is essential, as complex deep learning models with millions…
Understanding the Socio-Economic Disruption in the United States during COVID-19's Early Days
Swaroop Gowdra Shanthakumar, Anand Seetharam, Arti Ramesh
In this paper, we collect and study Twitter communications to understand the socio-economic impact of COVID-19 in the United States during the early days of the pandemic. Our analy…
Struct-MMSB: Mixed Membership Stochastic Blockmodels with Interpretable Structured Priors
Yue Zhang, Arti Ramesh
The mixed membership stochastic blockmodel (MMSB) is a popular framework for community detection and network generation. It learns a low-rank mixed membership representation for ea…
Learning Fairness-aware Relational Structures
Yue Zhang, Arti Ramesh
The development of fair machine learning models that effectively avert bias and discrimination is an important problem that has garnered attention in recent years. The necessity of…