Literature DB >> 32587011

"Explaining" machine learning reveals policy challenges.

Diane Coyle1, Adrian Weller2,3.   

Abstract

Year:  2020        PMID: 32587011     DOI: 10.1126/science.aba9647

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


× No keyword cloud information.
  2 in total

1.  A global taxonomy of interpretable AI: unifying the terminology for the technical and social sciences.

Authors:  Mara Graziani; Lidia Dutkiewicz; Davide Calvaresi; José Pereira Amorim; Katerina Yordanova; Mor Vered; Rahul Nair; Pedro Henriques Abreu; Tobias Blanke; Valeria Pulignano; John O Prior; Lode Lauwaert; Wessel Reijers; Adrien Depeursinge; Vincent Andrearczyk; Henning Müller
Journal:  Artif Intell Rev       Date:  2022-09-06       Impact factor: 9.588

2.  Economic development, weather shocks and child marriage in South Asia: A machine learning approach.

Authors:  Stephan Dietrich; Aline Meysonnat; Francisco Rosales; Victor Cebotari; Franziska Gassmann
Journal:  PLoS One       Date:  2022-09-01       Impact factor: 3.752

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.