Local Interpretable Model-Agnostic Explanations for Music Content Analysis

By Saumitra Mishra, Bob L. Sturm, Simon E. Dixon. 2017

204 citations recorded by the source corpus.

Subfields: Safety, Robustness & Interpretability, Speech & Audio

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Safety, Robustness & Interpretability

1. Adrien Bennetot
2. Francisco Herrera
3. Natalia Díaz Rodríguez
4. Raja Chatila
5. Salvador Garcia
6. Javier Del Ser

Citations in the corpus

• Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI (2019, positive): “Following the taxonomy introduced in Section 2 , model-agnostic techniques may rely on model simplification, feature relevance estimation and visualization techniques: [32] and all its variations [214,216] .”