activity
20172021
most citedDissonance Between Human and Machine Understanding

50 citations · 91 across the 4 of their papers we have counts for

collaborators

8 papers

cs.AI2021

Towards Benchmarking the Utility of Explanations for Model Debugging

Maximilian Idahl, Lijun Lyu, Ujwal Gadiraju +1

Post-hoc explanation methods are an important class of approaches that help understand the rationale underlying a trained model's decision. But how useful are they for an end-user…

cs.AI202150 cited

Dissonance Between Human and Machine Understanding

Zijian Zhang, Jaspreet Singh, Ujwal Gadiraju +1

Complex machine learning models are deployed in several critical domains including healthcare and autonomous vehicles nowadays, albeit as functional black boxes. Consequently, ther…

cs.IR2020

Assessing Viewpoint Diversity in Search Results Using Ranking Fairness Metrics

Tim Draws, Nava Tintarev, Ujwal Gadiraju +2

The way pages are ranked in search results influences whether the users of search engines are exposed to more homogeneous, or rather to more diverse viewpoints. However, this viewp…

cs.CY202022 cited

Bias in Data-driven AI Systems -- An Introductory Survey

Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20

AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…

cs.HC20193 cited

Revealing the Role of User Moods in Struggling Search Tasks

Luyan Xu, Xuan Zhou, Ujwal Gadiraju

User-centered approaches have been extensively studied and used in the area of struggling search. Related research has targeted key aspects of users such as user satisfaction or fr…

cs.HC2018

Detecting, Understanding and Supporting Everyday Learning in Web Search

Ran Yu, Ujwal Gadiraju, Stefan Dietze

Web search is among the most ubiquitous online activities, commonly used to acquire new knowledge and to satisfy learning-related objectives through informational search sessions.…