39 citations · 143 across the 29 of their papers we have counts for
5 papers · 1 filter
Fairness Violations and Mitigation under Covariate Shift
Harvineet Singh, Rina Singh, Vishwali Mhasawade +1
We study the problem of learning fair prediction models for unseen test sets distributed differently from the train set. Stability against changes in data distribution is an import…
Using Contextual Information to Improve Blood Glucose Prediction
Mohammad Akbari, Rumi Chunara
Blood glucose value prediction is an important task in diabetes management. While it is reported that glucose concentration is sensitive to social context such as mood, physical ac…
Population-aware Hierarchical Bayesian Domain Adaptation via Multiple-component Invariant Learning
Vishwali Mhasawade, Nabeel Abdur Rehman, Rumi Chunara
While machine learning is rapidly being developed and deployed in health settings such as influenza prediction, there are critical challenges in using data from one environment in…
Deep Landscape Features for Improving Vector-borne Disease Prediction
Nabeel Abdur Rehman, Umar Saif, Rumi Chunara
The global population at risk of mosquito-borne diseases such as dengue, yellow fever, chikungunya and Zika is expanding. Infectious disease models commonly incorporate environment…
Race, Ethnicity and National Origin-based Discrimination in Social Media and Hate Crimes Across 100 U.S. Cities
Kunal Relia, Zhengyi Li, Stephanie H. Cook +1
We study malicious online content via a specific type of hate speech: race, ethnicity and national-origin based discrimination in social media, alongside hate crimes motivated by t…