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Lọc theo: Cơ sở dữ liệu: GFMER Free Medical Journals xóa Chủ đề: Datasets xóa
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1
SleepEEGNet: Automated sleep stage scoring with sequence to sequence deep learning approach
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 [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

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2
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
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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 [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

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3
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
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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 [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

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4
Natural language inference for Malayalam language using language agnostic sentence representation
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 [Tạp chí có phản biện]

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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5
Drivers of the decrease of patent similarities from 1976 to 2021
Drivers of the decrease of patent similarities from 1976 to 2021
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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 [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

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6
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
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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 [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

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7
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice
CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice
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CoQUAD: a COVID-19 question answering dataset system, facilitating research, benchmarking, and practice

BMC bioinformatics, 2022-06, Vol.23 (1), p.210-210, Article 210 [Tạp chí có phản biện]

2022. The Author(s). ;COPYRIGHT 2022 BioMed Central Ltd. ;2022. 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) 2022 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-022-04751-6 ;PMID: 35655148

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8
Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning
Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning
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Towards sentiment aided dialogue policy learning for multi-intent conversations using hierarchical reinforcement learning

PloS one, 2020-07, Vol.15 (7), p.e0235367-e0235367 [Tạp chí có phản biện]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Saha 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 Saha et al 2020 Saha et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0235367 ;PMID: 32614929

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9
A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora
A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora
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A comparative study of pre-trained language models for named entity recognition in clinical trial eligibility criteria from multiple corpora

BMC medical informatics and decision making, 2022-09, Vol.22 (1), p.1-235, Article 235 [Tạp chí có phản biện]

COPYRIGHT 2022 BioMed Central Ltd. ;2022. 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) 2022 ;ISSN: 1472-6947 ;EISSN: 1472-6947 ;DOI: 10.1186/s12911-022-01967-7 ;PMID: 36068551

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10
A method for rapid machine learning development for data mining with doctor-in-the-loop
A method for rapid machine learning development for data mining with doctor-in-the-loop
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A method for rapid machine learning development for data mining with doctor-in-the-loop

PloS one, 2023-05, Vol.18 (5), p.e0284965-e0284965 [Tạp chí có phản biện]

Copyright: © 2023 Bull 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 Bull et al 2023 Bull et al ;2023 Bull 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.0284965 ;PMID: 37163511

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