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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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| 1 |
Material Type: Book
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Machine Learning: ECML-95: 8th European Conference on Machine Learning Heraclion, Crete, Greece, April 25–27, 1995 ProceedingsSpringer-Verlag Berlin Heidelberg 1995 ;ISSN: 0302-9743 ;ISBN: 9783540592860 ;ISBN: 3662202034 ;ISBN: 9783662202036 ;ISBN: 3540592865 ;EISSN: 1611-3349 ;EISBN: 3540492321 ;EISBN: 9783540492320 ;DOI: 10.1007/3-540-59286-5Full text available |
| 2 |
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 |
| 3 |
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 |
| 4 |
Material Type: Book
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Machine Learning: ECML 2000: 11th European Conference on Machine Learning Barcelona, Catalonia, Spain, May 31 – June 2, 2000 ProceedingsSpringer-Verlag Berlin Heidelberg 2000 ;ISSN: 0302-9743 ;ISBN: 9783540676027 ;ISBN: 3540676023 ;ISBN: 9783662208434 ;ISBN: 3662208431 ;EISSN: 1611-3349 ;EISBN: 9783540451648 ;EISBN: 3540451641 ;DOI: 10.1007/3-540-45164-1Full text available |
| 5 |
Material Type: Article
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Machine Learning and the Future of Cardiovascular Care: JACC State-of-the-Art ReviewJournal of the American College of Cardiology, 2021-01, Vol.77 (3), p.300-313 [Peer Reviewed Journal]Copyright © 2021 The Authors. Published by Elsevier Inc. All rights reserved. ;COPYRIGHT 2021 Elsevier B.V. ;ISSN: 0735-1097 ;EISSN: 1558-3597 ;DOI: 10.1016/j.jacc.2020.11.030 ;PMID: 33478654Full text available |
| 6 |
Material Type: Article
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Points of Significance: Statistics versus machine learningNature methods, 2018-04, Vol.15 (4), p.233 [Peer Reviewed Journal]COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Apr 2018 ;ISSN: 1548-7091 ;EISSN: 1548-7105 ;DOI: 10.1038/nmeth.4642Full text available |
| 7 |
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 |
| 8 |
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 |
| 9 |
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 |
| 10 |
Material Type: Article
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SoilGrids250m: Global gridded soil information based on machine learningPloS one, 2017-02, Vol.12 (2), p.e0169748-e0169748 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Hengl et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2017 Hengl et al 2017 Hengl et al ;Wageningen University & Research ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0169748 ;PMID: 28207752Full text available |
| 11 |
Material Type: Book
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Machine Learning: ECML 2001: 12th European Conference on Machine Learning Freiburg, Germany, September 5–7, 2001 ProceedingsSpringer-Verlag Berlin Heidelberg 2001 ;ISSN: 0302-9743 ;ISBN: 9783662205983 ;ISBN: 3540425365 ;ISBN: 9783540425366 ;ISBN: 366220598X ;EISSN: 1611-3349 ;EISBN: 3540447954 ;EISBN: 9783540447955 ;DOI: 10.1007/3-540-44795-4Full text available |
| 12 |
Material Type: Article
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Using Machine Learning Algorithms to Predict People's Intention to Use Mobile Learning Platforms During the COVID-19 Pandemic: Machine Learning ApproachJMIR medical education, 2021-02, Vol.7 (1), p.e24032-e24032 [Peer Reviewed Journal]Iman Akour, Muhammad Alshurideh, Barween Al Kurdi, Amel Al Ali, Said Salloum. Originally published in JMIR Medical Education (http://mededu.jmir.org), 04.02.2021. ;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. ;Iman Akour, Muhammad Alshurideh, Barween Al Kurdi, Amel Al Ali, Said Salloum. Originally published in JMIR Medical Education (http://mededu.jmir.org), 04.02.2021. 2021 ;ISSN: 2369-3762 ;EISSN: 2369-3762 ;DOI: 10.2196/24032 ;PMID: 33444154Full text available |
| 13 |
Material Type: Article
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Time‐Variability of Flow Recession Dynamics: Application of Machine Learning and Learning From the MachineWater resources research, 2023-05, Vol.59 (5), p.n/a [Peer Reviewed Journal]2023. American Geophysical Union. All Rights Reserved. ;ISSN: 0043-1397 ;EISSN: 1944-7973 ;DOI: 10.1029/2022WR032690Full text available |
| 14 |
Material Type: Article
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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s NextJournal of scientific computing, 2022-09, Vol.92 (3), p.88, Article 88 [Peer Reviewed Journal]The Author(s) 2022 ;The Author(s) 2022. 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: 0885-7474 ;EISSN: 1573-7691 ;DOI: 10.1007/s10915-022-01939-zFull text available |
| 15 |
Material Type: Book
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Machine Learning: ECML-97: 9th European Conference on Machine Learning Prague, Czech Republic, April 23–25, 1997 ProceedingsSpringer-Verlag Berlin Heidelberg 1997 ;ISSN: 0302-9743 ;ISBN: 3662203626 ;ISBN: 9783662203620 ;ISBN: 3540628584 ;ISBN: 9783540628583 ;EISSN: 1611-3349 ;EISBN: 3540687084 ;EISBN: 9783540687085 ;DOI: 10.1007/3-540-62858-4Full text available |
| 16 |
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 |
| 17 |
Material Type: Article
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Personalized surveillance for hepatocellular carcinoma in cirrhosis – using machine learning adapted to HCV statusJournal of hepatology, 2020-12, Vol.73 (6), p.1434-1445 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0168-8278 ;EISSN: 1600-0641 ;DOI: 10.1016/j.jhep.2020.05.052 ;PMID: 32615276Digital Resources/Online E-Resources |
| 18 |
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 |
| 19 |
Material Type: Article
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Cognitive Machine-Learning Algorithm for Cardiac Imaging: A Pilot Study for Differentiating Constrictive Pericarditis From Restrictive CardiomyopathyCirculation. Cardiovascular imaging, 2016-06, Vol.9 (6) [Peer Reviewed Journal]2016 American Heart Association, Inc. ;ISSN: 1941-9651 ;EISSN: 1942-0080 ;DOI: 10.1161/CIRCIMAGING.115.004330 ;PMID: 27266599Full text available |
| 20 |
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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