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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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2
Predicting COVID-19 in China Using Hybrid AI Model
Predicting COVID-19 in China Using Hybrid AI Model
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Predicting COVID-19 in China Using Hybrid AI Model

IEEE transactions on cybernetics, 2020-07, Vol.50 (7), p.2891 [Peer Reviewed Journal]

EISSN: 2168-2275 ;DOI: 10.1109/tcyb.2020.2990162 ;PMID: 32396126

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3
Uniting the Tribes: Using Text for Marketing Insight
Uniting the Tribes: Using Text for Marketing Insight
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Uniting the Tribes: Using Text for Marketing Insight

Journal of marketing, 2020-01, Vol.84 (1), p.1-25 [Peer Reviewed Journal]

American Marketing Association 2019 ;ISSN: 0022-2429 ;EISSN: 1547-7185 ;DOI: 10.1177/0022242919873106

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4
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
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A Primer on Neural Network Models for Natural Language Processing

The 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.4992

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5
Automated identification of media bias in news articles: an interdisciplinary literature review
Automated identification of media bias in news articles: an interdisciplinary literature review
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Automated identification of media bias in news articles: an interdisciplinary literature review

International journal on digital libraries, 2019-12, Vol.20 (4), p.391-415 [Peer Reviewed Journal]

The Author(s) 2018 ;International Journal on Digital Libraries is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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: 1432-5012 ;EISSN: 1432-1300 ;DOI: 10.1007/s00799-018-0261-y

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6
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects
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A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects

IEEE transaction on neural networks and learning systems, 2022-12, Vol.33 (12), p.6999

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2021.3084827 ;PMID: 34111009

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7
A study of active learning methods for named entity recognition in clinical text
A study of active learning methods for named entity recognition in clinical text
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A study of active learning methods for named entity recognition in clinical text

Journal of biomedical informatics, 2015-12, Vol.58, p.11 [Peer Reviewed Journal]

Copyright © 2015 Elsevier Inc. All rights reserved. ;EISSN: 1532-0480 ;DOI: 10.1016/j.jbi.2015.09.010 ;PMID: 26385377

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8
Artificial Intelligence in Surgery: Promises and Perils
Artificial Intelligence in Surgery: Promises and Perils
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Artificial Intelligence in Surgery: Promises and Perils

Annals of surgery, 2018-07, Vol.268 (1), p.70-76 [Peer Reviewed Journal]

Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved. ;ISSN: 0003-4932 ;EISSN: 1528-1140 ;DOI: 10.1097/SLA.0000000000002693 ;PMID: 29389679

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9
Neural information retrieval: at the end of the early years
Neural information retrieval: at the end of the early years
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Neural information retrieval: at the end of the early years

Information 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-y

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10
Nonhuman "Authors" and Implications for the Integrity of Scientific Publication and Medical Knowledge
Nonhuman "Authors" and Implications for the Integrity of Scientific Publication and Medical Knowledge
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Nonhuman "Authors" and Implications for the Integrity of Scientific Publication and Medical Knowledge

JAMA : the journal of the American Medical Association, 2023-02, Vol.329 (8), p.637 [Peer Reviewed Journal]

EISSN: 1538-3598 ;DOI: 10.1001/jama.2023.1344 ;PMID: 36719674

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11
Community challenges in biomedical text mining over 10 years: success, failure and the future
Community challenges in biomedical text mining over 10 years: success, failure and the future
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Community challenges in biomedical text mining over 10 years: success, failure and the future

Briefings in bioinformatics, 2016-01, Vol.17 (1), p.132-144 [Peer Reviewed Journal]

Published by Oxford University Press 2015. This work is written by US Government employees and is in the public domain in the US. ;Published by Oxford University Press 2015. This work is written by US Government employees and is in the public domain in the US. 2015 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbv024 ;PMID: 25935162

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12
A survey on semi-supervised learning
A survey on semi-supervised learning
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A survey on semi-supervised learning

Machine 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/s10994-019-05855-6

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13
Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank
Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank
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Performance of ChatGPT, GPT-4, and Google Bard on a Neurosurgery Oral Boards Preparation Question Bank

Neurosurgery, 2023-11, Vol.93 (5), p.1090-1098 [Peer Reviewed Journal]

Copyright © Congress of Neurological Surgeons 2023. All rights reserved. ;ISSN: 0148-396X ;EISSN: 1524-4040 ;DOI: 10.1227/neu.0000000000002551 ;PMID: 37306460

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14
ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations
ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations
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ChatGPT in medicine: an overview of its applications, advantages, limitations, future prospects, and ethical considerations

Frontiers in artificial intelligence, 2023-05, Vol.6, p.1169595-1169595 [Peer Reviewed Journal]

Copyright © 2023 Dave, Athaluri and Singh. ;Copyright © 2023 Dave, Athaluri and Singh. 2023 Dave, Athaluri and Singh ;ISSN: 2624-8212 ;EISSN: 2624-8212 ;DOI: 10.3389/frai.2023.1169595 ;PMID: 37215063

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15
Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related Text
Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related Text
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Capturing the Patient’s Perspective: a Review of Advances in Natural Language Processing of Health-Related Text

Yearbook of medical informatics, 2017-08, Vol.26 (1), p.214-227

Georg Thieme Verlag KG Stuttgart. ;Thieme Medical Publishers ;ISSN: 0943-4747 ;EISSN: 2364-0502 ;DOI: 10.15265/IY-2017-029 ;PMID: 29063568

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16
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
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Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures

The Journal of artificial intelligence research, 2016-02, Vol.55, p.409-442 [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.4900

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17
A Survey on Contrastive Self-Supervised Learning
A Survey on Contrastive Self-Supervised Learning
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A Survey on Contrastive Self-Supervised Learning

Technologies (Basel), 2021-03, Vol.9 (1), p.2 [Peer Reviewed Journal]

2021. This work is licensed 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: 2227-7080 ;EISSN: 2227-7080 ;DOI: 10.3390/technologies9010002

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18
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
Leveraging Pre-trained Checkpoints for Sequence Generation Tasks
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Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.264-280 [Peer Reviewed Journal]

2020. This work is published under https://creativecommons.org/licenses/by/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2307-387X ;EISSN: 2307-387X ;DOI: 10.1162/tacl_a_00313

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19
High-dimensional Bayesian optimization using low-dimensional feature spaces
High-dimensional Bayesian optimization using low-dimensional feature spaces
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High-dimensional Bayesian optimization using low-dimensional feature spaces

Machine 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-z

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20
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
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Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing

Science (American Association for the Advancement of Science), 2019-05, Vol.364 (6440), p.570-574 [Peer Reviewed Journal]

Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. ;Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works ;ISSN: 0036-8075 ;EISSN: 1095-9203 ;DOI: 10.1126/science.aaw5581 ;PMID: 31023890

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