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1
Author Correction: Automation of surgical skill assessment using a three-stage machine learning algorithm
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Author Correction: Automation of surgical skill assessment using a three-stage machine learning algorithm

Scientific reports, 2021-04, Vol.11 (1), p.8933-8933, Article 8933 [Peer Reviewed Journal]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-88175-x ;PMID: 33879815

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2
Response outcomes gate the impact of expectations on perceptual decisions
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Response outcomes gate the impact of expectations on perceptual decisions

Springer Nature Publishing AG https://doi.org/10.1038/s41467-020-14824-w This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. http://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-14824-w

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3
Author Correction: A new method to control error rates in automated species identification with deep learning algorithms
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Author Correction: A new method to control error rates in automated species identification with deep learning algorithms

Scientific reports, 2020-09, Vol.10 (1), p.14846-14846, Article 14846 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-72312-z ;PMID: 32884094

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4
Author Correction: Prediction of disulfide bond engineering sites using a machine learning method
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Author Correction: Prediction of disulfide bond engineering sites using a machine learning method

Scientific reports, 2020-07, Vol.10 (1), p.12942-12942, Article 12942 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-69841-y ;PMID: 32719348

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5
Author Correction: Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach
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Author Correction: Prediction of the Vaccine-derived Poliovirus Outbreak Incidence: A Hybrid Machine Learning Approach

Scientific reports, 2020-07, Vol.10 (1), Article 11108 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-67204-1 ;PMID: 32632118

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6
Publisher Correction: Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms
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Publisher Correction: Brain experiments imply adaptation mechanisms which outperform common AI learning algorithms

Scientific reports, 2020-06, Vol.10 (1), p.9356-9356, Article 9356 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-020-65969-z ;PMID: 32493994

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7
Correction to Supporting Information for Kim and Kim, Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method
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Correction to Supporting Information for Kim and Kim, Prediction of inherited genomic susceptibility to 20 common cancer types by a supervised machine-learning method

Proceedings of the National Academy of Sciences - PNAS, 2021-01, Vol.118 (1), p.1 [Peer Reviewed Journal]

Copyright National Academy of Sciences Jan 5, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2024687118 ;PMID: 33318130

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8
Publisher Correction: Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics
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Publisher Correction: Deep Machine Learning Techniques for the Detection and Classification of Sperm Whale Bioacoustics

Scientific reports, 2019-12, Vol.9 (1), p.18481-1, Article 18481 [Peer Reviewed Journal]

2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-019-53408-7 ;PMID: 31811158

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9
The Diversity–Innovation Paradox in Science
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The Diversity–Innovation Paradox in Science

Proceedings of the National Academy of Sciences - PNAS, 2020-04, Vol.117 (17), p.9284-9291 [Peer Reviewed Journal]

Copyright National Academy of Sciences Apr 28, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1915378117 ;PMID: 32291335

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10
Design of task-specific optical systems using broadband diffractive neural networks
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Design of task-specific optical systems using broadband diffractive neural networks

Light, science & applications, 2019-12, Vol.8 (1), p.112-14, Article 112 [Peer Reviewed Journal]

The Author(s) 2019. ;2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2019 ;ISSN: 2047-7538 ;ISSN: 2095-5545 ;EISSN: 2047-7538 ;DOI: 10.1038/s41377-019-0223-1 ;PMID: 31814969

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11
Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools
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Empirical comparison and analysis of web-based cell-penetrating peptide prediction tools

Briefings in bioinformatics, 2020-03, Vol.21 (2), p.408-420 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bby124 ;PMID: 30649170

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12
Causality matters in medical imaging
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Causality matters in medical imaging

Nature communications, 2020-07, Vol.11 (1), p.3673-3673, Article 3673 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17478-w ;PMID: 32699250

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13
Reconciling modern machine-learning practice and the classical bias–variance trade-off
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Reconciling modern machine-learning practice and the classical bias–variance trade-off

Proceedings of the National Academy of Sciences - PNAS, 2019-08, Vol.116 (32), p.15849-15854 [Peer Reviewed Journal]

Copyright National Academy of Sciences Aug 6, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1903070116 ;PMID: 31341078

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14
Definitions, methods, and applications in interpretable machine learning
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Definitions, methods, and applications in interpretable machine learning

Proceedings of the National Academy of Sciences - PNAS, 2019-10, Vol.116 (44), p.22071-22080 [Peer Reviewed Journal]

Copyright National Academy of Sciences Oct 29, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1900654116 ;PMID: 31619572

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15
Machine learning for chemical discovery
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Machine learning for chemical discovery

Nature communications, 2020-08, Vol.11 (1), p.4125-4125, Article 4125 [Peer Reviewed Journal]

The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2020 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-020-17844-8 ;PMID: 32807794

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16
Artificial Intelligence in Cardiology: Present and Future
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Artificial Intelligence in Cardiology: Present and Future

Mayo Clinic proceedings, 2020-05, Vol.95 (5), p.1015-1039 [Peer Reviewed Journal]

2020 Mayo Foundation for Medical Education and Research ;Copyright © 2020 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved. ;COPYRIGHT 2020 Frontline Medical Communications Inc. ;Copyright Mayo Foundation for Medical Education and Research May 2020 ;ISSN: 0025-6196 ;EISSN: 1942-5546 ;DOI: 10.1016/j.mayocp.2020.01.038 ;PMID: 32370835

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17
All-optical information-processing capacity of diffractive surfaces
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Article
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All-optical information-processing capacity of diffractive surfaces

Light, science & applications, 2021-01, Vol.10 (1), p.25-25, Article 25 [Peer Reviewed Journal]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2047-7538 ;ISSN: 2095-5545 ;EISSN: 2047-7538 ;DOI: 10.1038/s41377-020-00439-9 ;PMID: 33510131

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18
Mapping the NFT revolution: market trends, trade networks, and visual features
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Article
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Mapping the NFT revolution: market trends, trade networks, and visual features

Scientific reports, 2021-10, Vol.11 (1), p.20902-20902, Article 20902 [Peer Reviewed Journal]

2021. The Author(s). ;The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-021-00053-8 ;PMID: 34686678

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19
The limits of machine intelligence
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The limits of machine intelligence

EMBO reports, 2019-10, Vol.20 (10), p.n/a [Peer Reviewed Journal]

2019 The Authors ;2019 EMBO ;ISSN: 1469-221X ;EISSN: 1469-3178 ;DOI: 10.15252/embr.201949177

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20
Author Correction: Machine learning for the meta-analyses of microbial pathogens' volatile signatures
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Author Correction: Machine learning for the meta-analyses of microbial pathogens' volatile signatures

Scientific reports, 2018-04, Vol.8 (1), p.6498-3, Article 6498 [Peer Reviewed Journal]

2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2018 ;ISSN: 2045-2322 ;EISSN: 2045-2322 ;DOI: 10.1038/s41598-018-24111-w ;PMID: 29679073

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