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1
Protein design and variant prediction using autoregressive generative models
Protein design and variant prediction using autoregressive generative models
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Bài báo 		Thêm vào Góc nghiên cứu

Protein design and variant prediction using autoregressive generative models

Nature communications, 2021-04, Vol.12 (1), p.2403-2403, Article 2403 [Tạp chí có phản biện]

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. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-22732-w ;PMID: 33893299

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2
Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics
Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics
Material Type:
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Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics

International journal of health geographics, 2020-03, Vol.19 (1), p.8-12, Article 8 [Tạp chí có phản biện]

COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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) 2020 ;ISSN: 1476-072X ;EISSN: 1476-072X ;DOI: 10.1186/s12942-020-00202-8 ;PMID: 32160889

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3
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis
Material Type:
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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysis

PloS one, 2021-02, Vol.16 (2), p.e0245909-e0245909 [Tạp chí có phản biện]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;2021 Rustam 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. ;2021 Rustam et al 2021 Rustam et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0245909 ;PMID: 33630869

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4
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Public discourse and sentiment during the COVID 19 pandemic: Using Latent Dirichlet Allocation for topic modeling on Twitter

PloS one, 2020-09, Vol.15 (9), p.e0239441-e0239441 [Tạp chí có phản biện]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Xue 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 Xue et al 2020 Xue et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0239441 ;PMID: 32976519

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5
Recent advances in biomedical literature mining
Recent advances in biomedical literature mining
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Recent advances in biomedical literature mining

Briefings in Bioinformatics, 2021-05, Vol.22 (3) [Tạp chí có phản biện]

The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com. ;2020. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://academic.oup.com/journals/pages/coronavirus . ;The Author(s) 2020. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com 2020 ;ISSN: 1467-5463 ;EISSN: 1477-4054 ;DOI: 10.1093/bib/bbaa057 ;PMID: 32422651

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6
Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study
Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study
Material Type:
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Artificial Intelligence-Enabled Analysis of Public Attitudes on Facebook and Twitter Toward COVID-19 Vaccines in the United Kingdom and the United States: Observational Study

Journal of medical Internet research, 2021-04, Vol.23 (4), p.e26627-e26627 [Tạp chí có phản biện]

Amir Hussain, Ahsen Tahir, Zain Hussain, Zakariya Sheikh, Mandar Gogate, Kia Dashtipour, Azhar Ali, Aziz Sheikh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.04.2021. ;2021. This work is licensed 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. ;Amir Hussain, Ahsen Tahir, Zain Hussain, Zakariya Sheikh, Mandar Gogate, Kia Dashtipour, Azhar Ali, Aziz Sheikh. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.04.2021. 2021 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/26627 ;PMID: 33724919

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7
Roman Urdu Hate Speech Detection Using Transformer-Based Model for Cyber Security Applications
Roman Urdu Hate Speech Detection Using Transformer-Based Model for Cyber Security Applications
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Roman Urdu Hate Speech Detection Using Transformer-Based Model for Cyber Security Applications

Sensors (Basel, Switzerland), 2023-04, Vol.23 (8), p.3909 [Tạp chí có phản biện]

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/s23083909 ;PMID: 37112249

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8
Ontology-driven weak supervision for clinical entity classification in electronic health records
Ontology-driven weak supervision for clinical entity classification in electronic health records
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Ontology-driven weak supervision for clinical entity classification in electronic health records

Nature communications, 2021-04, Vol.12 (1), p.2017-2017, Article 2017 [Tạp chí có phản biện]

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. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-22328-4 ;PMID: 33795682

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9
An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web
An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web
Material Type:
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An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web

PloS one, 2020-06, Vol.15 (6), p.e0233879-e0233879 [Tạp chí có phản biện]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Tangherlini 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 Tangherlini et al 2020 Tangherlini et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0233879 ;PMID: 32544200

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10
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource
Material Type:
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Self-reported COVID-19 symptoms on Twitter: an analysis and a research resource

Journal of the American Medical Informatics Association, 2020-08, Vol.27 (8), p.1310-1315 [Tạp chí có phản biện]

The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. 2020 ;The Author(s) 2020. Published by Oxford University Press on behalf of the American Medical Informatics Association. ;2020. This work is licensed under http://creativecommons.org/licenses/by-nc-nd/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocaa116 ;PMID: 32620975

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Kết quả 1 - 10 của 336  trong Tất cả tài nguyên

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