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Kết quả 1 - 10 của 1.242  trong Tất cả tài nguyên

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Lọc theo: Cơ sở dữ liệu: ProQuest Central xóa Nhan đề tạp chí: Plos One xóa
Result Number Material Type Add to My Shelf Action Record Details and Options
1
Sentiment of Emojis
Sentiment of Emojis
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Sentiment of Emojis

PloS one, 2015-12, Vol.10 (12), p.e0144296-e0144296 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
2
Personality, gender, and age in the language of social media: the open-vocabulary approach
Personality, gender, and age in the language of social media: the open-vocabulary approach
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Personality, gender, and age in the language of social media: the open-vocabulary approach

PloS one, 2013-09, Vol.8 (9), p.e73791-e73791 [Tạp chí có phản biện]

COPYRIGHT 2013 Public Library of Science ;2013 Schwartz 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, 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. ;2013 Schwartz et al 2013 Schwartz et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0073791 ;PMID: 24086296

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
3
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach

PloS one, 2019-05, Vol.14 (5), p.e0216456-e0216456 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
4
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Forecasting stock prices with long-short term memory neural network based on attention mechanism
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

PloS one, 2020-01, Vol.15 (1), p.e0227222-e0227222 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
5
Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification
Knowledge-enhanced prototypical network with class cluster loss for few-shot relation classification
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

PloS one, 2023-06, Vol.18 (6), p.e0286915-e0286915 [Tạp chí có phản biện]

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 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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
6
Drivers of the decrease of patent similarities from 1976 to 2021
Drivers of the decrease of patent similarities from 1976 to 2021
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Drivers of the decrease of patent similarities from 1976 to 2021

PloS one, 2023-03, Vol.18 (3), p.e0283247-e0283247 [Tạp chí có phản biện]

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 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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
7
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
Design considerations for a hierarchical semantic compositional framework for medical natural language understanding
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

PloS one, 2023-03, Vol.18 (3), p.e0282882-e0282882 [Tạp chí có phản biện]

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 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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
8
Hate speech detection and racial bias mitigation in social media based on BERT model
Hate speech detection and racial bias mitigation in social media based on BERT model
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

PloS one, 2020-08, Vol.15 (8), p.e0237861-e0237861 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
9
"What is relevant in a text document?": An interpretable machine learning approach
"What is relevant in a text document?": An interpretable machine learning approach
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

PloS one, 2017-08, Vol.12 (8), p.e0181142-e0181142 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
10
Large-scale transportation network congestion evolution prediction using deep learning theory
Large-scale transportation network congestion evolution prediction using deep learning theory
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

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

PloS one, 2015-03, Vol.10 (3), p.e0119044-e0119044 [Tạp chí có phản biện]

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

Tài liệu số/Tài liệu điện tử

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