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1
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
Attention in Natural Language Processing
Attention in Natural Language Processing
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Attention in Natural Language Processing

IEEE transaction on neural networks and learning systems, 2021-10, Vol.32 (10), p.4291-4308

ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.3019893 ;PMID: 32915750 ;CODEN: ITNNAL

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3
A Survey of Cross-lingual Word Embedding Models
A Survey of Cross-lingual Word Embedding Models
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A Survey of Cross-lingual Word Embedding Models

The Journal of artificial intelligence research, 2019-01, Vol.65, p.569-631 [Peer Reviewed Journal]

2019. 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.1.11640

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4
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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5
OWL2Vec: embedding of OWL ontologies
OWL2Vec: embedding of OWL ontologies
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OWL2Vec: embedding of OWL ontologies

Machine 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/s10994-021-05997-6

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6
Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification
Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification
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Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification

IEEE transaction on neural networks and learning systems, 2022-03, Vol.33 (3), p.973

EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2020.3036192 ;PMID: 33417564

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7
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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8
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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9
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
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Learning to Prompt for Vision-Language Models

International journal of computer vision, 2022-09, Vol.130 (9), p.2337-2348 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022. Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;COPYRIGHT 2022 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-022-01653-1

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10
Regularisation of neural networks by enforcing Lipschitz continuity
Regularisation of neural networks by enforcing Lipschitz continuity
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Regularisation of neural networks by enforcing Lipschitz continuity

Machine 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-w

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11
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit
Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit
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Multi-domain clinical natural language processing with MedCAT: The Medical Concept Annotation Toolkit

Artificial intelligence in medicine, 2021-07, Vol.117, p.102083 [Peer Reviewed Journal]

Copyright © 2021 Elsevier B.V. All rights reserved. ;EISSN: 1873-2860 ;DOI: 10.1016/j.artmed.2021.102083 ;PMID: 34127232

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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
Probing Classifiers: Promises, Shortcomings, and Advances
Probing Classifiers: Promises, Shortcomings, and Advances
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Probing Classifiers: Promises, Shortcomings, and Advances

Computational linguistics - Association for Computational Linguistics, 2022-04, Vol.48 (1), p.207-219 [Peer Reviewed Journal]

2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/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: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_a_00422

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14
Harmonization and Development of Resources and Tools for Italian Natural Language Processing within the PARLI Project
Harmonization and Development of Resources and Tools for Italian Natural Language Processing within the PARLI Project
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Harmonization and Development of Resources and Tools for Italian Natural Language Processing within the PARLI Project

Springer International Publishing Switzerland 2015 ;ISSN: 1860-949X ;ISBN: 9783319142067 ;ISBN: 3319142062 ;ISBN: 3319142054 ;ISBN: 9783319142050 ;EISSN: 1860-9503 ;EISBN: 9783319142067 ;EISBN: 3319142062 ;DOI: 10.1007/978-3-319-14206-7 ;OCLC: 902626732

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15
Learning from Disagreement: A Survey
Learning from Disagreement: A Survey
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Learning from Disagreement: A Survey

The Journal of artificial intelligence research, 2021-01, Vol.72, p.1385-1470 [Peer Reviewed Journal]

2021. 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.1.12752

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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
Scalable Bayesian preference learning for crowds
Scalable Bayesian preference learning for crowds
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Scalable Bayesian preference learning for crowds

Machine 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/s10994-019-05867-2

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18
VQA: Visual Question Answering
VQA: Visual Question Answering
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VQA: Visual Question Answering

International journal of computer vision, 2017-05, Vol.123 (1), p.4 [Peer Reviewed Journal]

COPYRIGHT 2017 Springer ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-016-0966-6

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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
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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