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1	Material Type: Article	Best practices in machine learning for chemistry Nature chemistry, 2021-06, Vol.13 (6), p.505-508 [Peer Reviewed Journal] Springer Nature Limited 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1755-4330 ;EISSN: 1755-4349 ;DOI: 10.1038/s41557-021-00716-z ;PMID: 34059804 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Author Correction: Do no harm: a roadmap for responsible machine learning for health care Nature medicine, 2019-10, Vol.25 (10), p.1627-1627 [Peer Reviewed Journal] COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Oct 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0609-x Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Correction to: Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning Modern pathology, 2020-05, Vol.33 (5), p.981-981 [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. This work is published under https://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: 0893-3952 ;ISSN: 1530-0285 ;EISSN: 1530-0285 ;DOI: 10.1038/s41379-019-0450-2 ;PMID: 31900432 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Author Correction: Machine learning, practically speaking Nature methods, 2019-06, Vol.16 (6), p.561-561 [Peer Reviewed Journal] COPYRIGHT 2019 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0452-5 ;PMID: 31101907 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	$Design of task-specific optical systems using broadband diffractive neural networks$ $Design of task-specific optical systems using broadband diffractive neural networks$ Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Meta-Learning in Neural Networks: A Survey IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5149-5169 [Peer Reviewed Journal] ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2021.3079209 ;PMID: 33974543 ;CODEN: ITPIDJ Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	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 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Publisher Correction: Efficiently measuring a quantum device using machine learning npj quantum information, 2019-11, Vol.5 (1), p.1-1, Article 96 [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. ;ISSN: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-019-0214-3 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	A guide to machine learning for biologists Nature reviews. Molecular cell biology, 2022-01, Vol.23 (1), p.40-55 [Peer Reviewed Journal] 2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Advancing mathematics by guiding human intuition with AI Nature (London), 2021-12, Vol.600 (7887), p.70-74 [Peer Reviewed Journal] 2021. The Author(s). ;Copyright Nature Publishing Group Dec 2, 2021 ;The Author(s) 2021 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-021-04086-x ;PMID: 34853458 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 29,935 for All Library Resources

Springer Nature Limited 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1755-4330 ;EISSN: 1755-4349 ;DOI: 10.1038/s41557-021-00716-z ;PMID: 34059804

COPYRIGHT 2019 Nature Publishing Group ;COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Oct 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-019-0609-x

COPYRIGHT 2019 Nature Publishing Group ;The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0452-5 ;PMID: 31101907

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

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

ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2021.3079209 ;PMID: 33974543 ;CODEN: ITPIDJ

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. ;ISSN: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-019-0214-3

2021. Springer Nature Limited. ;Springer Nature Limited 2021. ;ISSN: 1471-0072 ;EISSN: 1471-0080 ;DOI: 10.1038/s41580-021-00407-0 ;PMID: 34518686

2021. The Author(s). ;Copyright Nature Publishing Group Dec 2, 2021 ;The Author(s) 2021 ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/s41586-021-04086-x ;PMID: 34853458

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