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1 |
Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182Full text available |
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2 |
Material Type: Article
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Data augmentation approaches in natural language processing: A surveyAI open, 2022, Vol.3, p.71-90 [Peer Reviewed Journal]2022 The Authors ;ISSN: 2666-6510 ;EISSN: 2666-6510 ;DOI: 10.1016/j.aiopen.2022.03.001Full text available |
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3 |
Material Type: Article
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Attribute Embedding: Learning Hierarchical Representations of Product Attributes from Consumer ReviewsJournal of marketing, 2022-11, Vol.86 (6), p.155-175 [Peer Reviewed Journal]The Author(s) 2021 ;ISSN: 0022-2429 ;EISSN: 1547-7185 ;DOI: 10.1177/00222429211047822Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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OWL2Vec: embedding of OWL ontologiesMachine learning, 2021-07, Vol.110 (7), p.1813-1845 [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/s10994-021-05997-6Full text available |
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5 |
Material Type: Book
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating MediaISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2Digital Resources/Online E-Resources |
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6 |
Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;DOI: 10.1007/978-981-99-1600-9Digital Resources/Online E-Resources |
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7 |
Material Type: Article
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Launching into clinical space with medspaCy: a new clinical text processing toolkit in PythonAMIA ... Annual Symposium proceedings, 2021, Vol.2021, p.438-447 [Peer Reviewed Journal]2021 AMIA - All rights reserved. ;2021 AMIA - All rights reserved. 2021 ;EISSN: 1942-597X ;PMID: 35308962Full text available |
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8 |
Material Type: Article
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Improving the Applicability of AI for Psychiatric Applications through Human-in-the-loop MethodologiesSchizophrenia bulletin, 2022-09, Vol.48 (5), p.949-957 [Peer Reviewed Journal]The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. ;info:eu-repo/semantics/openAccess ;ISSN: 0586-7614 ;ISSN: 1745-1701 ;EISSN: 1745-1701 ;DOI: 10.1093/schbul/sbac038 ;PMID: 35639561Full text available |
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9 |
Material Type: Article
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Artificial Intelligence in Cardiology: Present and FutureMayo 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: 32370835Full text available |
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10 |
Material Type: Article
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A Primer on Neural Network Models for Natural Language ProcessingThe Journal of artificial intelligence research, , Vol.57, p.345-420 [Peer Reviewed Journal]2016. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.4992Full text available |
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11 |
Material Type: Article
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Natural Language Processing and Psychosis: On the Need for Comprehensive Psychometric EvaluationSchizophrenia bulletin, 2022-09, Vol.48 (5), p.939-948 [Peer Reviewed Journal]The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of the Maryland Psychiatric Research Center. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;info:eu-repo/semantics/openAccess ;ISSN: 0586-7614 ;ISSN: 1745-1701 ;EISSN: 1745-1701 ;DOI: 10.1093/schbul/sbac051 ;PMID: 35738008Full text available |
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12 |
Material Type: Article
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Neural information retrieval: at the end of the early yearsInformation retrieval (Boston), 2018-06, Vol.21 (2-3), p.111-182 [Peer Reviewed Journal]The Author(s) 2017 ;Information Retrieval Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 1386-4564 ;EISSN: 1573-7659 ;DOI: 10.1007/s10791-017-9321-yFull text available |
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13 |
Material Type: Article
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Regularisation of neural networks by enforcing Lipschitz continuityMachine learning, 2021-02, Vol.110 (2), p.393-416 [Peer Reviewed Journal]The Author(s) 2020 ;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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05929-wFull text available |
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14 |
Material Type: Article
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A survey on semi-supervised learningMachine learning, 2020-02, Vol.109 (2), p.373-440 [Peer Reviewed Journal]The Author(s) 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. 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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05855-6Full text available |
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15 |
Material Type: Article
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Artificial intelligence in radiologyNature reviews. Cancer, 2018-08, Vol.18 (8), p.500-510 [Peer Reviewed Journal]COPYRIGHT 2018 Nature Publishing Group ;COPYRIGHT 2018 Nature Publishing Group ;Copyright Nature Publishing Group Aug 2018 ;ISSN: 1474-175X ;EISSN: 1474-1768 ;DOI: 10.1038/s41568-018-0016-5 ;PMID: 29777175Full text available |
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16 |
Material Type: Article
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Scalable Bayesian preference learning for crowdsMachine learning, 2020-04, Vol.109 (4), p.689-718 [Peer Reviewed Journal]The Author(s) 2020 ;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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05867-2Full text available |
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17 |
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 |
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18 |
Material Type: Article
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High-dimensional Bayesian optimization using low-dimensional feature spacesMachine learning, 2020-09, Vol.109 (9-10), p.1925-1943 [Peer Reviewed Journal]The Author(s) 2020 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-020-05899-zFull text available |
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19 |
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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20 |
Material Type: Book
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Natural Language Processing Fundamentals for DevelopersISBN: 1683926579 ;ISBN: 9781683926573 ;EISBN: 1683926560 ;EISBN: 9781683926566 ;OCLC: 1259321029 ;LCCallNum: Q325.5 .C36 2021Full text available |