103 citations · 246 across the 18 of their papers we have counts for
5 papers · 1 filter
Combating Fake News with Interpretable News Feed Algorithms
Sina Mohseni, Eric Ragan
Nowadays, artificial intelligence algorithms are used for targeted and personalized content distribution in the large scale as part of the intense competition for attention in the…
A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems
Sina Mohseni, Niloofar Zarei, Eric D. Ragan
The need for interpretable and accountable intelligent systems grows along with the prevalence of artificial intelligence applications used in everyday life. Explainable intelligen…
ProvThreads: Analytic Provenance Visualization and Segmentation
Sina Mohseni, Alyssa Pena, Eric D. Ragan
Our work aims to generate visualizations to enable meta-analysis of analytic provenance and aid better understanding of analysts' strategies during exploratory text analysis. We in…
Analytic Provenance Datasets: A Data Repository of Human Analysis Activity and Interaction Logs
Sina Mohseni, Andrew Pachuilo, Ehsanul Haque Nirjhar +3
We present an analytic provenance data repository that can be used to study human analysis activity, thought processes, and software interaction with visual analysis tools during e…
A Human-Grounded Evaluation Benchmark for Local Explanations of Machine Learning
Sina Mohseni, Jeremy E. Block, Eric D. Ragan
Research in interpretable machine learning proposes different computational and human subject approaches to evaluate model saliency explanations. These approaches measure different…