Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information-Reference-Cited by-同舟云学术

Transparency and accountability in AI decision support: Explaining and visualizing convolutional neural networks for text information

Published:2020-07 Issue: Volume:134 Page:113302
ISSN:0167-9236
Container-title:Decision Support Systems
language:en
Short-container-title:Decision Support Systems

Author:

Kim Buomsoo,Park Jinsoo,Suh Jihae^ORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Arts and Humanities (miscellaneous),Developmental and Educational Psychology,Information Systems,Management Information Systems

Reference56 articles.

1. Beyond the hype: big data concepts, methods, and analytics;Gandomi;Int. J. Inf. Manag.,2015

2. H. Chen, R.H.L. Chiang, V.C. Storey, Business intelligence and analytics: from big data to big impact, MIS Q. 36 (2012) 1165–1188.

3. Recent trends in deep learning based natural language processing;Young;IEEE Comput. Intell. Mag.,2018

4. Deep learning;LeCun;Nature,2015

5. Computational linguistics and deep learning;Manning;Computational Linguistics,2015

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