Literature DB >> 33137719

XAI-Explainable artificial intelligence.

David Gunning1, Mark Stefik2, Jaesik Choi3, Timothy Miller4, Simone Stumpf5, Guang-Zhong Yang6.   

Abstract

Explainability is essential for users to effectively understand, trust, and manage powerful artificial intelligence applications.
Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.

Year:  2019        PMID： 33137719     DOI： 10.1126/scirobotics.aay7120

Source DB:  PubMed          Journal:  Sci Robot        ISSN： 2470-9476


  44 in total

1.  Physician Experience Design (PXD): More Usable Machine Learning Prediction for Clinical Decision Making.

Authors:  Lu Wang; Mark Chignell; Yilun Zhang; Andrew Pinto; Fahad Razak; Kathleen Sheehan; Amol Verma
Journal:  AMIA Annu Symp Proc       Date:  2022-05-23

2.  Scoring Functions for Protein-Ligand Binding Affinity Prediction using Structure-Based Deep Learning: A Review.

Authors:  Rocco Meli; Garrett M Morris; Philip C Biggin
Journal:  Front Bioinform       Date:  2022-06-17

Review 3.  Artificial intelligence in histopathology: enhancing cancer research and clinical oncology.

Authors:  Artem Shmatko; Narmin Ghaffari Laleh; Moritz Gerstung; Jakob Nikolas Kather
Journal:  Nat Cancer       Date:  2022-09-22

4.  EdgeSHAPer: Bond-centric Shapley value-based explanation method for graph neural networks.

Authors:  Andrea Mastropietro; Giuseppe Pasculli; Christian Feldmann; Raquel Rodríguez-Pérez; Jürgen Bajorath
Journal:  iScience       Date:  2022-08-30

5.  Rapid triage for ischemic stroke: a machine learning-driven approach in the context of predictive, preventive and personalised medicine.

Authors:  Yulu Zheng; Zheng Guo; Yanbo Zhang; Jianjing Shang; Leilei Yu; Ping Fu; Yizhi Liu; Xingang Li; Hao Wang; Ling Ren; Wei Zhang; Haifeng Hou; Xuerui Tan; Wei Wang
Journal:  EPMA J       Date:  2022-05-27       Impact factor: 8.836

Review 6.  On the road to explainable AI in drug-drug interactions prediction: A systematic review.

Authors:  Thanh Hoa Vo; Ngan Thi Kim Nguyen; Quang Hien Kha; Nguyen Quoc Khanh Le
Journal:  Comput Struct Biotechnol J       Date:  2022-04-19       Impact factor: 6.155

7.  An Explainable AI Approach for the Rapid Diagnosis of COVID-19 Using Ensemble Learning Algorithms.

Authors:  Houwu Gong; Miye Wang; Hanxue Zhang; Md Fazla Elahe; Min Jin
Journal:  Front Public Health       Date:  2022-06-21

8.  Deep learning identifies robust gender differences in functional brain organization and their dissociable links to clinical symptoms in autism.

Authors:  Kaustubh Supekar; Carlo de Los Angeles; Srikanth Ryali; Kaidi Cao; Tengyu Ma; Vinod Menon
Journal:  Br J Psychiatry       Date:  2022-02-15       Impact factor: 10.671

Review 9.  Bad machines corrupt good morals.

Authors:  Nils Köbis; Jean-François Bonnefon; Iyad Rahwan
Journal:  Nat Hum Behav       Date:  2021-06-03

10.  ExpMRC: explainability evaluation for machine reading comprehension.

Authors:  Yiming Cui; Ting Liu; Wanxiang Che; Zhigang Chen; Shijin Wang
Journal:  Heliyon       Date:  2022-04-19
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