5 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 1 cited
Explaining a machine learning decision to physicians via counterfactuals
Supriya Nagesh, Nina Mishra, Yonatan Naamad +3
Machine learning models perform well on several healthcare tasks and can help reduce the burden on the healthcare system. However, the lack of explainability is a major roadblock t…
cs.LG2012★ 5 cited
Predicting Preference Flips in Commerce Search
Or Sheffet, Nina Mishra, Samuel Ieong
Traditional approaches to ranking in web search follow the paradigm of rank-by-score: a learned function gives each query-URL combination an absolute score and URLs are ranked acco…
cs.LG2010★ 3 cited
Adapting to the Shifting Intent of Search Queries
Umar Syed, Aleksandrs Slivkins, Nina Mishra
Search engines today present results that are often oblivious to abrupt shifts in intent. For example, the query `independence day' usually refers to a US holiday, but the intent o…