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1
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
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Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media

ISBN: 3031231899 ;ISBN: 9783031231902 ;ISBN: 9783031231896 ;ISBN: 3031231902 ;DOI: 10.1007/978-3-031-23190-2

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2
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis
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Revealing Media Bias in News Articles: NLP Techniques for Automated Frame Analysis

ISBN: 9783031176937 ;ISBN: 3031176936 ;ISBN: 9783031176920 ;ISBN: 3031176928 ;EISBN: 9783031176937 ;EISBN: 3031176936 ;DOI: 10.1007/978-3-031-17693-7 ;OCLC: 1371330002

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3
Representation Learning for Natural Language Processing
Representation Learning for Natural Language Processing
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Representation Learning for Natural Language Processing

ISBN: 9811555729 ;ISBN: 9789811555725 ;EISBN: 9789811555732 ;EISBN: 9811555737 ;DOI: 10.1007/978-981-15-5573-2 ;OCLC: 1176494182

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4
A Survey of the Usages of Deep Learning for Natural Language Processing
A Survey of the Usages of Deep Learning for Natural Language Processing
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A Survey of the Usages of Deep Learning for Natural Language Processing

IEEE transaction on neural networks and learning systems, 2021-02, Vol.32 (2), p.604

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.2979670 ;PMID: 32324570

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5
Hands-On Python Natural Language Processing: Explore Tools and Techniques to Analyze and Process Text with a View to Building Real-World NLP Applications
Hands-On Python Natural Language Processing: Explore Tools and Techniques to Analyze and Process Text with a View to Building Real-World NLP Applications
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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 Applications

ISBN: 1838989595 ;ISBN: 9781838989590 ;EISBN: 1838982582 ;EISBN: 9781838982584 ;OCLC: 1163543238

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6
Can artificial intelligence help for scientific writing?
Can artificial intelligence help for scientific writing?
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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: 36841840

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7
Representation Learning for Natural Language Processing
Representation Learning for Natural Language Processing
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Representation Learning for Natural Language Processing

ISBN: 9789819916009 ;ISBN: 9819916003 ;ISBN: 9819915996 ;ISBN: 9789819915996 ;EISBN: 9789819916009 ;EISBN: 9819916003 ;DOI: 10.1007/978-981-99-1600-9 ;OCLC: 1395909338

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8
Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence
Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence
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Augmented Analytics Driven by AI: A Digital Transformation beyond Business Intelligence

Sensors (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/s22208071

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9
Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?
Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?
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Machine learning, natural language programming, and electronic health records: The next step in the artificial intelligence journey?

Journal of allergy and clinical immunology, 2018-06, Vol.141 (6), p.2019 [Peer Reviewed Journal]

EISSN: 1097-6825 ;DOI: 10.1016/j.jaci.2018.02.025 ;PMID: 29518424

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10
Sentiment analysis using deep learning architectures: a review
Sentiment analysis using deep learning architectures: a review
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Sentiment analysis using deep learning architectures: a review

The 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/s10462-019-09794-5

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11
An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
An overview and empirical comparison of natural language processing (NLP) models and an introduction to and empirical application of autoencoder models in marketing
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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 marketing

Journal 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/s11747-022-00840-3

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12
A survey on sentiment analysis methods, applications, and challenges
A survey on sentiment analysis methods, applications, and challenges
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A survey on sentiment analysis methods, applications, and challenges

The 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/s10462-022-10144-1

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13
PCT: Point cloud transformer
PCT: Point cloud transformer
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PCT: Point cloud transformer

Computational 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/s41095-021-0229-5

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14
A call for deep-learning healthcare
A call for deep-learning healthcare
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A call for deep-learning healthcare

Nature 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: 30617337

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15
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
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Review of deep learning: concepts, CNN architectures, challenges, applications, future directions

Journal 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: 33816053

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16
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria
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Neuroprosthesis for Decoding Speech in a Paralyzed Person with Anarthria

The New England journal of medicine, 2021-07, Vol.385 (3), p.217-227 [Peer Reviewed Journal]

Copyright © 2021 Massachusetts Medical Society. All rights reserved. ;Copyright © 2021 Massachusetts Medical Society. ;COPYRIGHT 2021 Massachusetts Medical Society ;ISSN: 0028-4793 ;EISSN: 1533-4406 ;DOI: 10.1056/NEJMoa2027540 ;PMID: 34260835

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17
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
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SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Mousavi 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. ;2019 Mousavi et al 2019 Mousavi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216456 ;PMID: 31063501

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18
A comprehensive survey on model compression and acceleration
A comprehensive survey on model compression and acceleration
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A comprehensive survey on model compression and acceleration

The 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/s10462-020-09816-7

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19
Generating Image Captions Using Bahdanau Attention Mechanism and Transfer Learning
Generating Image Captions Using Bahdanau Attention Mechanism and Transfer Learning
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Generating Image Captions Using Bahdanau Attention Mechanism and Transfer Learning

Symmetry (Basel), 2022-12, Vol.14 (12), p.2681 [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. ;ISSN: 2073-8994 ;EISSN: 2073-8994 ;DOI: 10.3390/sym14122681

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20
KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data
KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data
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KBot: A Knowledge Graph Based ChatBot for Natural Language Understanding Over Linked Data

IEEE access, 2020, Vol.8, p.149220-149230 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3016142 ;CODEN: IAECCG

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