2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 2 cited
Predictability and Comprehensibility in Post-Hoc XAI Methods: A User-Centered Analysis
Anahid Jalali, Bernhard Haslhofer, Simone Kriglstein +1
Post-hoc explainability methods aim to clarify predictions of black-box machine learning models. However, it is still largely unclear how well users comprehend the provided explana…
cs.SD2023
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms
Lam Pham, Dat Ngo, Cam Le +2
In this technical report, a low-complexity deep learning system for acoustic scene classification (ASC) is presented. The proposed system comprises two main phases: (Phase I) Train…