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Material Type: Article
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Implementing Machine Learning in Health Care — Addressing Ethical ChallengesThe New England journal of medicine, 2018-03, Vol.378 (11), p.981-983 [Peer Reviewed Journal]Copyright © 2018 Massachusetts Medical Society. All rights reserved. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMp1714229 ;PMID: 29539284Full text available |
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Material Type: Article
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ilastik: interactive machine learning for (bio)image analysisNature methods, 2019-12, Vol.16 (12), p.1226-1232 [Peer Reviewed Journal]COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Dec 2019 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/s41592-019-0582-9 ;PMID: 31570887Full text available |
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3 |
Material Type: Article
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Machine learning-accelerated computational fluid dynamicsProceedings of the National Academy of Sciences - PNAS, 2021-05, Vol.118 (21), p.1 [Peer Reviewed Journal]Copyright © 2021 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences May 25, 2021 ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2101784118 ;PMID: 34006645Full text available |
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Material Type: Article
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Machine Learning and Prediction in Medicine — Beyond the Peak of Inflated ExpectationsThe New England journal of medicine, 2017-06, Vol.376 (26), p.2507-2509 [Peer Reviewed Journal]Copyright © 2017 Massachusetts Medical Society. All rights reserved. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMp1702071 ;PMID: 28657867Full text available |
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Material Type: Article
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Predicting the Future — Big Data, Machine Learning, and Clinical MedicineThe New England journal of medicine, 2016-09, Vol.375 (13), p.1216-1219 [Peer Reviewed Journal]Copyright © 2016 Massachusetts Medical Society. All rights reserved. ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMp1606181 ;PMID: 27682033Full text available |
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6 |
Material Type: Article
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Machine Learning: An Applied Econometric ApproachThe Journal of economic perspectives, 2017-04, Vol.31 (2), p.87-106 [Peer Reviewed Journal]Copyright © 2017 American Economic Association ;Copyright American Economic Association Spring 2017 ;ISSN: 0895-3309 ;EISSN: 1944-7965 ;DOI: 10.1257/jep.31.2.87Full text available |
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7 |
Material Type: Article
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A Machine Learning‐Based Global Atmospheric Forecast ModelGeophysical research letters, 2020-05, Vol.47 (9), p.n/a [Peer Reviewed Journal]2020. American Geophysical Union. All Rights Reserved. ;ISSN: 0094-8276 ;EISSN: 1944-8007 ;DOI: 10.1029/2020GL087776Full text available |
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8 |
Material Type: Article
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Clinical applications of continual learning machine learningThe Lancet. Digital health, 2020-06, Vol.2 (6), p.e279-e281 [Peer Reviewed Journal]2020 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license ;ISSN: 2589-7500 ;EISSN: 2589-7500 ;DOI: 10.1016/S2589-7500(20)30102-3 ;PMID: 33328120Full text available |
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Material Type: Article
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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 |
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10 |
Material Type: Article
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How the machine ‘thinks’: Understanding opacity in machine learning algorithmsBig data & society, 2016-01, Vol.3 (1), p.205395171562251 [Peer Reviewed Journal]The Author(s) 2016 ;ISSN: 2053-9517 ;EISSN: 2053-9517 ;DOI: 10.1177/2053951715622512Full text available |
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11 |
Material Type: Article
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wACSF—Weighted atom-centered symmetry functions as descriptors in machine learning potentialsThe Journal of chemical physics, 2018-06, Vol.148 (24), p.241709-241709 [Peer Reviewed Journal]Author(s) ;ISSN: 0021-9606 ;EISSN: 1089-7690 ;DOI: 10.1063/1.5019667 ;PMID: 29960372 ;CODEN: JCPSA6Full text available |
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12 |
Material Type: Article
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methodsMachine learning, 2021-03, Vol.110 (3), p.457-506 [Peer Reviewed Journal]The Author(s) 2021 ;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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05946-3Full text available |
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13 |
Material Type: Article
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A review of vibration-based damage detection in civil structures: from traditional methods to Machine Learning and Deep Learning applicationsMechanical systems and signal processing, 2021-01, Vol.147 [Peer Reviewed Journal]ISSN: 0888-3270 ;ISSN: 1096-1216 ;EISSN: 1096-1216 ;DOI: 10.1016/j.ymssp.2020.107077Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Supervised Learning in Physical Networks: From Machine Learning to Learning MachinesPhysical review. X, 2021-05, Vol.11 (2), p.021045, Article 021045 [Peer Reviewed Journal]2021. This work is licensed 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. ;ISSN: 2160-3308 ;EISSN: 2160-3308 ;DOI: 10.1103/PhysRevX.11.021045Full text available |
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15 |
Material Type: Article
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Machine learning identifies candidates for drug repurposing in Alzheimer's diseaseNature communications, 2021-02, Vol.12 (1), p.1033-13, Article 1033 [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: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-21330-0 ;PMID: 33589615Full text available |
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Material Type: Article
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Laboratory earthquake forecasting: A machine learning competitionProceedings of the National Academy of Sciences - PNAS, 2021-02, Vol.118 (5) [Peer Reviewed Journal]Copyright © 2021 the Author(s). Published by PNAS. ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2011362118 ;PMID: 33495346Full text available |
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Material Type: Article
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The Information Content of Forward-Looking Statements in Corporate Filings-A Naïve Bayesian Machine Learning ApproachJournal of accounting research, 2010-12, Vol.48 (5), p.1049-1102 [Peer Reviewed Journal]2010 The Accounting Research Center at the University of Chicago Booth of Business ;University of Chicago on behalf of the Accounting Research Center, 2010 ;ISSN: 0021-8456 ;EISSN: 1475-679X ;DOI: 10.1111/j.1475-679X.2010.00382.x ;CODEN: JACRBRFull text available |
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Material Type: Article
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Machine learning of optical properties of materials - predicting spectra from images and images from spectraChemical science (Cambridge), 2019, Vol.10 (1), p.47-55 [Peer Reviewed Journal]Copyright Royal Society of Chemistry 2019 ;ISSN: 2041-6520 ;EISSN: 2041-6539 ;DOI: 10.1039/c8sc03077d ;PMID: 30746072Full text available |
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Material Type: Article
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From DFT to machine learning: recent approaches to materials science-a reviewJPhys materials, 2019-07, Vol.2 (3), p.32001 [Peer Reviewed Journal]2019 The Author(s). Published by IOP Publishing Ltd ;2019. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2515-7639 ;EISSN: 2515-7639 ;DOI: 10.1088/2515-7639/ab084bFull text available |
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20 |
Material Type: Article
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Machine Learning–Based Model for Prediction of Outcomes in Acute StrokeStroke (1970), 2019-05, Vol.50 (5), p.1263-1265 [Peer Reviewed Journal]2019 American Heart Association, Inc. ;ISSN: 0039-2499 ;EISSN: 1524-4628 ;DOI: 10.1161/STROKEAHA.118.024293 ;PMID: 30890116Full text available |