18 citations · 24 across the 5 of their papers we have counts for
5 papers
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals
Weina Jin, Jianyu Fan, Diane Gromala +2
Non-technical end-users are silent and invisible users of the state-of-the-art explainable artificial intelligence (XAI) technologies. Their demands and requirements for AI explain…
Transcending XAI Algorithm Boundaries through End-User-Inspired Design
Weina Jin, Jianyu Fan, Diane Gromala +3
The boundaries of existing explainable artificial intelligence (XAI) algorithms are confined to problems grounded in technical users' demand for explainability. This research parad…
EUCA: the End-User-Centered Explainable AI Framework
Weina Jin, Jianyu Fan, Diane Gromala +2
The ability to explain decisions to end-users is a necessity to deploy AI as critical decision support. Yet making AI explainable to non-technical end-users is a relatively ignored…
Multi-label Sound Event Retrieval Using a Deep Learning-based Siamese Structure with a Pairwise Presence Matrix
Jianyu Fan, Eric Nichols, Daniel Tompkins +3
Realistic recordings of soundscapes often have multiple sound events co-occurring, such as car horns, engine and human voices. Sound event retrieval is a type of content-based sear…
A Comparative Study of Western and Chinese Classical Music based on Soundscape Models
Jianyu Fan, Yi-Hsuan Yang, Kui Dong +1
Whether literally or suggestively, the concept of soundscape is alluded in both modern and ancient music. In this study, we examine whether we can analyze and compare Western and C…