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1
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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2
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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3
Sentiment of Emojis
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Sentiment of Emojis

PloS one, 2015-12, Vol.10 (12), p.e0144296-e0144296 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Kralj Novak 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. ;2015 Kralj Novak et al 2015 Kralj Novak et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0144296 ;PMID: 26641093

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4
A comparative study of pretrained language models for long clinical text
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A comparative study of pretrained language models for long clinical text

Journal of the American Medical Informatics Association : JAMIA, 2023-01, Vol.30 (2), p.340-347 [Peer Reviewed Journal]

The Author(s) 2022. 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) 2022. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2022 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocac225 ;PMID: 36451266

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5
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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6
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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7
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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8
Ethical implications of conversational agents in global public health
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Ethical implications of conversational agents in global public health

Bulletin of the World Health Organization, 2020-04, Vol.98 (4), p.285-287 [Peer Reviewed Journal]

COPYRIGHT 2020 World Health Organization ;COPYRIGHT 2020 World Health Organization ;Copyright World Health Organization Apr 2020 ;(c) 2020 The authors; licensee World Health Organization. 2020 ;ISSN: 0042-9686 ;EISSN: 1564-0604 ;DOI: 10.2471/BLT.19.237636 ;PMID: 32284654

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9
Forecasting stock prices with long-short term memory neural network based on attention mechanism
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Forecasting stock prices with long-short term memory neural network based on attention mechanism

PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Qiu 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. ;2020 Qiu et al 2020 Qiu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0227222 ;PMID: 31899770

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10
Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification
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Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification

PloS one, 2023-06, Vol.18 (6), p.e0286915-e0286915 [Peer Reviewed Journal]

Copyright: © 2023 Liu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Liu 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. ;2023 Liu et al 2023 Liu et al ;2023 Liu 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0286915 ;PMID: 37289767

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11
Natural language inference for Malayalam language using language agnostic sentence representation
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Natural language inference for Malayalam language using language agnostic sentence representation

PeerJ. Computer science, 2021-05, Vol.7, p.e508-e508, Article e508 [Peer Reviewed Journal]

2021 Renjit and Idicula. ;COPYRIGHT 2021 PeerJ. Ltd. ;2021 Renjit and Idicula. This is an open access article distributed under the terms of the Creative Commons Attribution License: https://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2021 Renjit and Idicula 2021 Renjit and Idicula ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/PEERJ-CS.508 ;PMID: 34013034

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12
Drivers of the decrease of patent similarities from 1976 to 2021
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Article
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Drivers of the decrease of patent similarities from 1976 to 2021

PloS one, 2023-03, Vol.18 (3), p.e0283247-e0283247 [Peer Reviewed Journal]

Copyright: © 2023 Filippi-Mazzola et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Filippi-Mazzola 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. ;2023 Filippi-Mazzola et al 2023 Filippi-Mazzola et al ;2023 Filippi-Mazzola 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0283247 ;PMID: 36940211

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13
Hate speech detection and racial bias mitigation in social media based on BERT model
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Article
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Hate speech detection and racial bias mitigation in social media based on BERT model

PloS one, 2020-08, Vol.15 (8), p.e0237861-e0237861 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Mozafari 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. ;Attribution ;2020 Mozafari et al 2020 Mozafari et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0237861 ;PMID: 32853205

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14
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
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Design considerations for a hierarchical semantic compositional framework for medical natural language understanding

PloS one, 2023-03, Vol.18 (3), p.e0282882-e0282882 [Peer Reviewed Journal]

Copyright: © 2023 Taira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Taira 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. ;2023 Taira et al 2023 Taira et al ;2023 Taira 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. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0282882 ;PMID: 36928721

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15
Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation
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Automating Fault Test Cases Generation and Execution for Automotive Safety Validation via NLP and HIL Simulation

Sensors (Basel, Switzerland), 2024-05, Vol.24 (10), p.3145 [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;2024 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: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24103145 ;PMID: 38793999

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16
Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models
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Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

Proceedings of the National Academy of Sciences - PNAS, 2020-10, Vol.117 (42), p.25966-25974 [Peer Reviewed Journal]

Copyright National Academy of Sciences Oct 20, 2020 ;2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1910416117 ;PMID: 32989131

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17
"What is relevant in a text document?": An interpretable machine learning approach
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Article
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"What is relevant in a text document?": An interpretable machine learning approach

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Arras 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. ;2017 Arras et al 2017 Arras et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0181142 ;PMID: 28800619

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18
Large-scale transportation network congestion evolution prediction using deep learning theory
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Large-scale transportation network congestion evolution prediction using deep learning theory

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Ma 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. ;2015 Ma et al 2015 Ma et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119044 ;PMID: 25780910

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19
Learning the language of viral evolution and escape
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Article
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Learning the language of viral evolution and escape

Science (American Association for the Advancement of Science), 2021-01, Vol.371 (6526), p.284-288 [Peer Reviewed Journal]

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. ;Copyright © 2021 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.abd7331 ;PMID: 33446556

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20
Artificial intelligence in clinical and genomic diagnostics
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Artificial intelligence in clinical and genomic diagnostics

Genome medicine, 2019-11, Vol.11 (1), p.70-70, Article 70 [Peer Reviewed Journal]

COPYRIGHT 2019 BioMed Central Ltd. ;COPYRIGHT 2019 BioMed Central Ltd. ;The Author(s). 2019 ;ISSN: 1756-994X ;EISSN: 1756-994X ;DOI: 10.1186/s13073-019-0689-8 ;PMID: 31744524

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