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Machine Learning
| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
|---|---|---|---|
| 1 |
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 ;ISBN: 9783030000 ;ISBN: 9789783030008 ;EISBN: 9783031231902 ;EISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2 ;OCLC: 1380847755 ;LCCallNum: HD58.7 .P33 2023Digital Resources/Online E-Resources |
| 2 |
Material Type: Book
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Revealing Media Bias in News Articles: NLP Techniques for Automated Frame AnalysisISBN: 9783031176937 ;ISBN: 3031176936 ;ISBN: 9783031176920 ;ISBN: 3031176928 ;EISBN: 9783031176937 ;EISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7 ;OCLC: 1371330002Digital Resources/Online E-Resources |
| 3 |
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 |
| 4 |
Material Type: Book
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The Development of Natural Language Processing: Research on the Development of Electronic Information Engineering Technology in ChinaChina Science Publishing & Media Ltd(Science Press) 2021. Jointly published with Science Press, Beijing, China ;ISBN: 9789811619854 ;ISBN: 9811619859 ;EISBN: 9789811619861 ;EISBN: 9811619867 ;DOI: 10.1007/978-981-16-1986-1 ;OCLC: 1256542564Digital Resources/Online E-Resources |
| 5 |
Material Type: Article
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A Survey of the Usages of Deep Learning for Natural Language ProcessingIEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570Digital Resources/Online E-Resources |
| 6 |
Material Type: Book
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Hands-On Python Natural Language Processing: Explore Tools and Techniques to Analyze and Process Text with a View to Building Real-World NLP ApplicationsISBN: 1838989595 ;ISBN: 9781838989590 ;EISBN: 1838982582 ;EISBN: 9781838982584 ;OCLC: 1163543238Full text available |
| 7 |
Material Type: Book
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Representation Learning for Natural Language ProcessingISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338Digital Resources/Online E-Resources |
| 8 |
Material Type: Article
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Can artificial intelligence help for scientific writing?Critical care (London, England), 2023-02, Vol.27 (1), p.75-75, Article 75 [Peer Reviewed Journal]2023. The Author(s). ;COPYRIGHT 2023 BioMed Central Ltd. ;2023. This work is licensed 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) 2023 ;ISSN: 1364-8535 ;EISSN: 1466-609X ;DOI: 10.1186/s13054-023-04380-2 ;PMID: 36841840Full text available |
| 9 |
Material Type: Article
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Augmented Analytics Driven by AI: A Digital Transformation beyond Business IntelligenceSensors (Basel, Switzerland), 2022-10, Vol.22 (20), p.8071 [Peer Reviewed Journal]COPYRIGHT 2022 MDPI AG ;2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://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. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22208071Full text available |
| 10 |
Material Type: Book
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Probabilistic Topic Models: Foundation and ApplicationThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023 ;ISBN: 9789819924301 ;ISBN: 9819924308 ;EISBN: 9819924316 ;EISBN: 9789819924318 ;DOI: 10.1007/978-981-99-2431-8 ;OCLC: 1381705540Digital Resources/Online E-Resources |
| 11 |
Material Type: Article
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Neural Natural Language Generation: A Survey on Multilinguality, Multimodality, Controllability and LearningThe Journal of artificial intelligence research, 2022-01, Vol.73, p.1131-1207 [Peer Reviewed Journal]2022. 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.1.12918Full text available |
| 12 |
Material Type: Article
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Sentiment analysis using deep learning architectures: a reviewThe Artificial intelligence review, 2020-08, Vol.53 (6), p.4335-4385 [Peer Reviewed Journal]Springer Nature B.V. 2019 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2019. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-019-09794-5Full text available |
| 13 |
Material Type: Book
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Building and Using Comparable Corpora for Multilingual Natural Language ProcessingThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1947-4040 ;ISBN: 3031313836 ;ISBN: 9783031313837 ;EISSN: 1947-4059 ;EISBN: 9783031313844 ;EISBN: 3031313844 ;DOI: 10.1007/978-3-031-31384-4 ;OCLC: 1396064039Digital Resources/Online E-Resources |
| 14 |
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 |
| 15 |
Material Type: Article
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An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketingJournal of the Academy of Marketing Science, 2022-11, Vol.50 (6), p.1324-1350 [Peer Reviewed Journal]Academy of Marketing Science 2022 ;COPYRIGHT 2022 Springer ;Academy of Marketing Science 2022. ;ISSN: 0092-0703 ;EISSN: 1552-7824 ;DOI: 10.1007/s11747-022-00840-3Full text available |
| 16 |
Material Type: Article
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A survey on sentiment analysis methods, applications, and challengesThe Artificial intelligence review, 2022-10, Vol.55 (7), p.5731-5780 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Nature B.V. 2022 ;COPYRIGHT 2022 Springer ;The Author(s), under exclusive licence to Springer Nature B.V. 2022. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10144-1Full text available |
| 17 |
Material Type: Article
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PCT: Point cloud transformerComputational visual media (Beijing), 2021-06, Vol.7 (2), p.187-199 [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: 2096-0433 ;EISSN: 2096-0662 ;DOI: 10.1007/s41095-021-0229-5Full text available |
| 18 |
Material Type: Article
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A call for deep-learning healthcareNature medicine, 2019-01, Vol.25 (1), p.14-15 [Peer Reviewed Journal]COPYRIGHT 2019 Nature Publishing Group ;Copyright Nature Publishing Group Jan 2019 ;ISSN: 1078-8956 ;EISSN: 1546-170X ;DOI: 10.1038/s41591-018-0320-3 ;PMID: 30617337Full text available |
| 19 |
Material Type: Article
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directionsJournal of big data, 2021-03, Vol.8 (1), p.53-53, Article 53 [Peer Reviewed Journal]The Author(s) 2021 ;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: 2196-1115 ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-021-00444-8 ;PMID: 33816053Full text available |
| 20 |
Material Type: Article
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A comprehensive survey on model compression and accelerationThe Artificial intelligence review, 2020-10, Vol.53 (7), p.5113-5155 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09816-7Full text available |
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