Towards Relatable Explainable AI with the Perceptual Process

Author:

Zhang Wencan1,Lim Brian Y1

Affiliation:

1. Department of Computer Science, National University of Singapore, Singapore

Funder

Ministry of Education, Singapore

Publisher

ACM

Reference117 articles.

1. Trends and Trajectories for Explainable, Accountable and Intelligible Systems

2. COGAM: Measuring and Moderating Cognitive Load in Machine Learning Model Explanations

3. Amina Adadi and Mohammed Berrada . 2018. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI) . IEEE access 6( 2018 ), 52138–52160. Amina Adadi and Mohammed Berrada. 2018. Peeking inside the black-box: a survey on explainable artificial intelligence (XAI). IEEE access 6(2018), 52138–52160.

4. Interpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting

5. Dario Amodei , Sundaram Ananthanarayanan , Rishita Anubhai , Jingliang Bai , Eric Battenberg , Carl Case , Jared Casper , Bryan Catanzaro , Qiang Cheng , Guoliang Chen , 2016 . Deep speech 2: End-to-end speech recognition in english and mandarin . In International conference on machine learning. PMLR, 173–182 . Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Qiang Cheng, Guoliang Chen, 2016. Deep speech 2: End-to-end speech recognition in english and mandarin. In International conference on machine learning. PMLR, 173–182.

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