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1
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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2
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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3
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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4
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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5
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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6
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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7
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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8
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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9
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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10
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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11
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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12
A Primer in BERTology: What We Know About How BERT Works
A Primer in BERTology: What We Know About How BERT Works
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A Primer in BERTology: What We Know About How BERT Works

Transactions of the Association for Computational Linguistics, 2020-01, Vol.8, p.842-866 [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_00349

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13
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods
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Aleatoric and epistemic uncertainty in machine learning: an introduction to concepts and methods

Machine 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/s10994-021-05946-3

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14
Medical Information Extraction in the Age of Deep Learning
Medical Information Extraction in the Age of Deep Learning
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Medical Information Extraction in the Age of Deep Learning

Yearbook of medical informatics, 2020-08, Vol.29 (1), p.208-220

ISSN: 0943-4747 ;EISSN: 2364-0502 ;DOI: 10.1055/s-0040-1702001 ;PMID: 32823318

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15
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge
Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge
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Show and Tell: Lessons Learned from the 2015 MSCOCO Image Captioning Challenge

IEEE transactions on pattern analysis and machine intelligence, 2017-04, Vol.39 (4), p.652-663 [Peer Reviewed Journal]

ISSN: 0162-8828 ;EISSN: 1939-3539 ;DOI: 10.1109/TPAMI.2016.2587640 ;PMID: 28055847 ;CODEN: ITPIDJ

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16
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study
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Variable generalization performance of a deep learning model to detect pneumonia in chest radiographs: A cross-sectional study

PLoS medicine, 2018-11, Vol.15 (11), p.e1002683-e1002683 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Zech 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. ;2018 Zech et al 2018 Zech et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1002683 ;PMID: 30399157

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17
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
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Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations

International journal of computer vision, 2017-05, Vol.123 (1), p.32-73 [Peer Reviewed Journal]

The Author(s) 2017 ;COPYRIGHT 2017 Springer ;International Journal of Computer Vision is a copyright of Springer, 2017. ;ISSN: 0920-5691 ;EISSN: 1573-1405 ;DOI: 10.1007/s11263-016-0981-7

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18
Conversational agents in healthcare: a systematic review
Conversational agents in healthcare: a systematic review
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Conversational agents in healthcare: a systematic review

Journal of the American Medical Informatics Association : JAMIA, 2018-09, Vol.25 (9), p.1248-1258 [Peer Reviewed Journal]

The Author(s) 2018. Published by Oxford University Press on behalf of the American Medical Informatics Association. 2018 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocy072 ;PMID: 30010941

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19
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
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Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

The Journal of artificial intelligence research, , Vol.71, p.1183-1317 [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.1.11688

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20
Deep learning in clinical natural language processing: a methodical review
Deep learning in clinical natural language processing: a methodical review
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Deep learning in clinical natural language processing: a methodical review

Journal of the American Medical Informatics Association : JAMIA, 2020-03, Vol.27 (3), p.457-470 [Peer Reviewed Journal]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz200 ;PMID: 31794016

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