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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
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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 methodProceedings 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: 33318130Full text available |
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The Diversity–Innovation Paradox in ScienceProceedings 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: 32291335Full text available |
| 3 |
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Reconciling modern machine-learning practice and the classical bias–variance trade-offProceedings 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: 31341078Full text available |
| 4 |
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Definitions, methods, and applications in interpretable machine learningProceedings 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: 31619572Full text available |
| 5 |
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The limits of machine intelligenceEMBO 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.201949177Full text available |
| 6 |
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Artificial intelligence versus clinicians: systematic review of design, reporting standards, and claims of deep learning studies in medical imagingBMJ (Online), 2020-03, Vol.368 [Peer Reviewed Journal]Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. BMJ This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m689Full text available |
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Communication-efficient federated learningProceedings of the National Academy of Sciences - PNAS, 2021-04, Vol.118 (17), p.1 [Peer Reviewed Journal]Copyright National Academy of Sciences Apr 27, 2021 ;2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2024789118 ;PMID: 33888586Full text available |
| 8 |
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Correction for Shi et al., Deep elastic strain engineering of bandgap through machine learningProceedings of the National Academy of Sciences - PNAS, 2020-03, Vol.117 (11), p.6274-6274 [Peer Reviewed Journal]Copyright National Academy of Sciences Mar 17, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2002727117 ;PMID: 32152115Full text available |
| 9 |
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From Bloch oscillations to many-body localization in clean interacting systemsProceedings of the National Academy of Sciences - PNAS, 2019-05, Vol.116 (19), p.9269-9274 [Peer Reviewed Journal]Copyright National Academy of Sciences May 7, 2019 ;2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1819316116 ;PMID: 31019083Full text available |
| 10 |
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Active learning machine learns to create new quantum experimentsProceedings of the National Academy of Sciences - PNAS, 2018-02, Vol.115 (6), p.1221-1226 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Feb 6, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1714936115 ;PMID: 29348200Full text available |
| 11 |
Material Type: Article
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What is Machine Learning? A Primer for the EpidemiologistAmerican journal of epidemiology, 2019-12, Vol.188 (12), p.2222-2239 [Peer Reviewed Journal]The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the Johns Hopkins Bloomberg School of Public Health. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com. ;ISSN: 0002-9262 ;EISSN: 1476-6256 ;DOI: 10.1093/aje/kwz189 ;PMID: 31509183Full text available |
| 12 |
Material Type: Article
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Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisalBMJ, 2020-04, Vol.369, p.m1328-m1328 [Peer Reviewed Journal]Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. ;2020 Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. BMJ This is an Open Access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 4.0) license, which permits others to distribute, remix, adapt and build upon this work, for commercial use, provided the original work is properly cited. See: http://creativecommons.org/licenses/by/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;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. ;Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY. No commercial re-use. See rights and permissions. Published by BMJ. 2020 BMJ ;ISSN: 1756-1833 ;ISSN: 0959-8138 ;EISSN: 1756-1833 ;DOI: 10.1136/bmj.m1328 ;PMID: 32265220Digital Resources/Online E-Resources |
| 13 |
Material Type: Article
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Metalearners for estimating heterogeneous treatment effects using machine learningProceedings of the National Academy of Sciences - PNAS, 2019-03, Vol.116 (10), p.4156-4165 [Peer Reviewed Journal]Copyright © 2019 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Mar 5, 2019 ;Copyright © 2019 the Author(s). Published by PNAS. 2019 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1804597116 ;PMID: 30770453Full text available |
| 14 |
Material Type: Article
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Racial disparities in automated speech recognitionProceedings of the National Academy of Sciences - PNAS, 2020-04, Vol.117 (14), p.7684-7689 [Peer Reviewed Journal]Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Apr 7, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1915768117 ;PMID: 32205437Full text available |
| 15 |
Material Type: Article
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A mean field view of the landscape of two-layer neural networksProceedings of the National Academy of Sciences - PNAS, 2018-08, Vol.115 (33), p.E7665-E7671 [Peer Reviewed Journal]Volumes 1–89 and 106–115, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright © 2018 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Aug 14, 2018 ;Copyright © 2018 the Author(s). Published by PNAS. 2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1806579115 ;PMID: 30054315Full text available |
| 16 |
Material Type: Article
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Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studiesProceedings of the National Academy of Sciences - PNAS, 2020-08, Vol.117 (32), p.19061-19071 [Peer Reviewed Journal]Copyright National Academy of Sciences Aug 11, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1917036117 ;PMID: 32719123Full text available |
| 17 |
Material Type: Article
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Large stocks of peatland carbon and nitrogen are vulnerable to permafrost thawProceedings of the National Academy of Sciences - PNAS, 2020-08, Vol.117 (34), p.20438-20446 [Peer Reviewed Journal]Copyright National Academy of Sciences Aug 25, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;ISSN: 1091-6490 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1916387117 ;PMID: 32778585Full text available |
| 18 |
Material Type: Article
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Word embeddings quantify 100 years of gender and ethnic stereotypesProceedings of the National Academy of Sciences - PNAS, 2018-04, Vol.115 (16), p.E3635-E3644 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright National Academy of Sciences Apr 17, 2018 ;2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1720347115 ;PMID: 29615513Full text available |
| 19 |
Material Type: Article
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Predicting cancer outcomes from histology and genomics using convolutional networksProceedings of the National Academy of Sciences - PNAS, 2018-03, Vol.115 (13), p.E2970-E2979 [Peer Reviewed Journal]Volumes 1–89 and 106–114, copyright as a collective work only; author(s) retains copyright to individual articles ;Copyright © 2018 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Mar 27, 2018 ;Copyright © 2018 the Author(s). Published by PNAS. 2018 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1717139115 ;PMID: 29531073Full text available |
| 20 |
Material Type: Article
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Sequential regulatory activity prediction across chromosomes with convolutional neural networksGenome research, 2018-05, Vol.28 (5), p.739-750 [Peer Reviewed Journal]2018 Kelley et al.; Published by Cold Spring Harbor Laboratory Press. ;Copyright Cold Spring Harbor Laboratory Press May 2018 ;2018 ;ISSN: 1088-9051 ;EISSN: 1549-5469 ;DOI: 10.1101/gr.227819.117 ;PMID: 29588361Full text available |
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