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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text
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2010 i2b2/VA challenge on concepts, assertions, and relations in clinical text

Journal of the American Medical Informatics Association : JAMIA, 2011-09, Vol.18 (5), p.552-556 [Peer Reviewed Journal]

2011, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. 2011 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1136/amiajnl-2011-000203 ;PMID: 21685143

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2
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records
2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records
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2018 n2c2 shared task on adverse drug events and medication extraction in electronic health records

Journal of the American Medical Informatics Association : JAMIA, 2020-01, Vol.27 (1), p.3-12 [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 2019 ;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. ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz166 ;PMID: 31584655

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3
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence
A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence
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A 30-Year Review on Nanocomposites: Comprehensive Bibliometric Insights into Microstructural, Electrical, and Mechanical Properties Assisted by Artificial Intelligence

Materials, 2024-02, Vol.17 (5), p.1088 [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. ;2024 by the authors. 2024 ;ISSN: 1996-1944 ;EISSN: 1996-1944 ;DOI: 10.3390/ma17051088 ;PMID: 38473560

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4
A la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge
A la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge
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A la Recherche du Temps Perdu: extracting temporal relations from medical text in the 2012 i2b2 NLP challenge

Journal of the American Medical Informatics Association : JAMIA, 2013-09, Vol.20 (5), p.843-848 [Peer Reviewed Journal]

Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions 2013 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1136/amiajnl-2013-001624 ;PMID: 23523875

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5
ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text
ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text
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ABNER: an open source tool for automatically tagging genes, proteins and other entity names in text

Bioinformatics, 2005-07, Vol.21 (14), p.3191-3192 [Peer Reviewed Journal]

2005 INIST-CNRS ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/bti475 ;PMID: 15860559 ;CODEN: BOINFP

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6
Abstractive text summarization of low-resourced languages using deep learning
Abstractive text summarization of low-resourced languages using deep learning
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Abstractive text summarization of low-resourced languages using deep learning

PeerJ. Computer science, 2023-01, Vol.9, p.e1176-e1176, Article e1176 [Peer Reviewed Journal]

2023 Shafiq et al. ;COPYRIGHT 2023 PeerJ. Ltd. ;2023 Shafiq et al. 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. ;2023 Shafiq et al. 2023 Shafiq et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1176 ;PMID: 37346684

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7
Abusive language detection in youtube comments leveraging replies as conversational context
Abusive language detection in youtube comments leveraging replies as conversational context
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Abusive language detection in youtube comments leveraging replies as conversational context

PeerJ. Computer science, 2021-10, Vol.7, p.e742-e742, Article e742 [Peer Reviewed Journal]

COPYRIGHT 2021 PeerJ. Ltd. ;2021 Ashraf et al. 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 Ashraf et al. 2021 Ashraf et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.742 ;PMID: 34712802

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8
Accessing bioscience images from abstract sentences
Accessing bioscience images from abstract sentences
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Accessing bioscience images from abstract sentences

Bioinformatics, 2006-07, Vol.22 (14), p.e547-e556 [Peer Reviewed Journal]

The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org 2006 ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btl261 ;PMID: 16873519 ;CODEN: BOINFP

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9
Accomplishments and challenges in literature data mining for biology
Accomplishments and challenges in literature data mining for biology
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Accomplishments and challenges in literature data mining for biology

Bioinformatics, 2002-12, Vol.18 (12), p.1553-1561 [Peer Reviewed Journal]

ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/18.12.1553 ;PMID: 12490438

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10
Accurate Stride-Length Estimation Based on LT-StrideNet for Pedestrian Dead Reckoning Using a Shank-Mounted Sensor
Accurate Stride-Length Estimation Based on LT-StrideNet for Pedestrian Dead Reckoning Using a Shank-Mounted Sensor
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Accurate Stride-Length Estimation Based on LT-StrideNet for Pedestrian Dead Reckoning Using a Shank-Mounted Sensor

Micromachines (Basel), 2023-05, Vol.14 (6), p.1170 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 2072-666X ;EISSN: 2072-666X ;DOI: 10.3390/mi14061170 ;PMID: 37374755

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11
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis
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ACR-SA: attention-based deep model through two-channel CNN and Bi-RNN for sentiment analysis

PeerJ. Computer science, 2022-03, Vol.8, p.e877-e877, Article e877 [Peer Reviewed Journal]

2022 Kamyab et al. ;COPYRIGHT 2022 PeerJ. Ltd. ;2022 Kamyab et al. 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. ;2022 Kamyab et al. 2022 Kamyab et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.877 ;PMID: 35494855

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12
Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study
Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study
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Active Computerized Pharmacovigilance Using Natural Language Processing, Statistics, and Electronic Health Records: A Feasibility Study

Journal of the American Medical Informatics Association : JAMIA, 2009-05, Vol.16 (3), p.328-337 [Peer Reviewed Journal]

2009 J Am Med Inform Assoc. ;Copyright © 2009, American Medical Informatics Association 2009 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1197/jamia.M3028 ;PMID: 19261932

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13
Active learning for clinical text classification: is it better than random sampling?
Active learning for clinical text classification: is it better than random sampling?
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Active learning for clinical text classification: is it better than random sampling?

Journal of the American Medical Informatics Association : JAMIA, 2012-09, Vol.19 (5), p.809-816 [Peer Reviewed Journal]

2012, Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions. 2012 ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1136/amiajnl-2011-000648 ;PMID: 22707743

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14
ADAM: another database of abbreviations in MEDLINE
ADAM: another database of abbreviations in MEDLINE
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ADAM: another database of abbreviations in MEDLINE

Bioinformatics, 2006-11, Vol.22 (22), p.2813-2818 [Peer Reviewed Journal]

2007 INIST-CNRS ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btl480 ;PMID: 16982707 ;CODEN: BOINFP

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15
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning
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Adaptation of Autoencoder for Sparsity Reduction From Clinical Notes Representation Learning

IEEE journal of translational engineering in health and medicine, 2023-01, Vol.11, p.1-1 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;2023 The Authors 2023 Authors ;ISSN: 2168-2372 ;EISSN: 2168-2372 ;DOI: 10.1109/JTEHM.2023.3241635 ;CODEN: IJTEBN

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16
Adapting Static and Contextual Representations for Policy Gradient-Based Summarization
Adapting Static and Contextual Representations for Policy Gradient-Based Summarization
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Adapting Static and Contextual Representations for Policy Gradient-Based Summarization

Sensors (Basel, Switzerland), 2023-05, Vol.23 (9), p.4513 [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;2023 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. ;2023 by the authors. 2023 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s23094513 ;PMID: 37177717

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17
Addressing religious hate online: from taxonomy creation to automated detection
Addressing religious hate online: from taxonomy creation to automated detection
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Addressing religious hate online: from taxonomy creation to automated detection

PeerJ. Computer science, 2022-12, Vol.8, p.e1128-e1128 [Peer Reviewed Journal]

2022 Ramponi et al. ;COPYRIGHT 2022 PeerJ. Ltd. ;2022 Ramponi et al. 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. ;2022 Ramponi et al. 2022 Ramponi et al. ;ISSN: 2376-5992 ;EISSN: 2376-5992 ;DOI: 10.7717/peerj-cs.1128 ;PMID: 37346317

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18
Advancements in Microprocessor Architecture for Ubiquitous AI—An Overview on History, Evolution, and Upcoming Challenges in AI Implementation
Advancements in Microprocessor Architecture for Ubiquitous AI—An Overview on History, Evolution, and Upcoming Challenges in AI Implementation
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Advancements in Microprocessor Architecture for Ubiquitous AI—An Overview on History, Evolution, and Upcoming Challenges in AI Implementation

Micromachines (Basel), 2021-06, Vol.12 (6), p.665 [Peer Reviewed Journal]

2021 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. ;2021 by the authors. 2021 ;ISSN: 2072-666X ;EISSN: 2072-666X ;DOI: 10.3390/mi12060665 ;PMID: 34204065

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19
Advancing entity recognition in biomedicine via instruction tuning of large language models
Advancing entity recognition in biomedicine via instruction tuning of large language models
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Advancing entity recognition in biomedicine via instruction tuning of large language models

Bioinformatics (Oxford, England), 2024-03, Vol.40 (4) [Peer Reviewed Journal]

The Author(s) 2024. Published by Oxford University Press. ;The Author(s) 2024. Published by Oxford University Press. 2024 ;ISSN: 1367-4803 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btae163 ;PMID: 38514400

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20
Advancing the state of the art in automatic extraction of adverse drug events from narratives
Advancing the state of the art in automatic extraction of adverse drug events from narratives
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Advancing the state of the art in automatic extraction of adverse drug events from narratives

Journal of the American Medical Informatics Association : JAMIA, 2020-01, Vol.27 (1), p.1-2 [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 2019 ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz206 ;PMID: 31841150

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