8 citations · 20 across the 5 of their papers we have counts for
3 papers · 1 filter
The Impact of Explanations on AI Competency Prediction in VQA
Kamran Alipour, Arijit Ray, Xiao Lin +3
Explainability is one of the key elements for building trust in AI systems. Among numerous attempts to make AI explainable, quantifying the effect of explanations remains a challen…
Deep Learning Improves Contrast in Low-Fluence Photoacoustic Imaging
Ali Hariri, Kamran Alipour, Yash Mantri +2
Low fluence illumination sources can facilitate clinical transition of photoacoustic imaging because they are rugged, portable, affordable, and safe. However, these sources also de…
A Study on Multimodal and Interactive Explanations for Visual Question Answering
Kamran Alipour, Jurgen P. Schulze, Yi Yao +2
Explainability and interpretability of AI models is an essential factor affecting the safety of AI. While various explainable AI (XAI) approaches aim at mitigating the lack of tran…