Explainable Deep Learning Approach for Multilabel Classification of Antimicrobial Resistance With Missing Labels-Reference-Cited by-同舟云学术

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Explainable Deep Learning Approach for Multilabel Classification of Antimicrobial Resistance With Missing Labels

Published:2022 Issue: Volume:10 Page:113073-113085
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Tharmakulasingam Mukunthan¹^ORCID,Gardner Brian²^ORCID,Ragione Roberto La²^ORCID,Fernando Anil³

Affiliation:

1. Centre for Vision, Speech and Signal Processing, University of Surrey, Guildford, U.K

2. School of Veterinary Medicine, University of Surrey, Guildford, U.K

3. Department of Computer and Information Sciences, University of Strathclyde, Glasgow, U.K

Funder

University of Surrey through its Library Open Access funds and Zoetis through the vHive Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09928273.pdf?arnumber=9928273

Reference48 articles.

1. A Multidisciplinary Survey and Framework for Design and Evaluation of Explainable AI Systems

2. Binary cross entropy with deep learning technique for image classification;ruby;Int J Adv Trends Comput Sci Eng,2020

3. Antimicrobial Resistance Prediction in PATRIC and RAST

4. An explainable machine learning platform for pyrazinamide resistance prediction and genetic feature identification of Mycobacterium tuberculosis

5. A biochemically-interpretable machine learning classifier for microbial GWAS

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Explainable Artificial Intelligence for Protein Function Prediction: A Perspective View;Current Bioinformatics;2023-03

2. TransAMR: An Interpretable Transformer Model for Accurate Prediction of Antimicrobial Resistance Using Antibiotic Administration Data;IEEE Access;2023

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