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1
Multi-Input data ASsembly for joint Analysis
Multi-Input data ASsembly for joint Analysis
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Multi-Input data ASsembly for joint Analysis

PloS one, 2024-05, Vol.19 (5), p.e0302425 [Peer Reviewed Journal]

COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0302425

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2
Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training
Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training
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Correction: Impacts of multicollinearity on CAPT modalities: An heterogeneous machine learning framework for computer-assisted French phoneme pronunciation training

PloS one, 2023-10, Vol.18 (10), p.e0292513-e0292513 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;2023 Bi 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 Bi et al 2023 Bi et al ;2023 Bi 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.0292513

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3
Correction: The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice
Correction: The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice
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Correction: The path to international medals: A supervised machine learning approach to explore the impact of coach-led sport-specific and non-specific practice

PloS one, 2020-12, Vol.15 (12), p.e0244509-e0244509 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Barth 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 Barth et al 2020 Barth et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0244509 ;PMID: 33338055

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4
Correction: Multilocus marker-based delimitation of Salicornia persica and its population discrimination assisted by supervised machine learning approach
Correction: Multilocus marker-based delimitation of Salicornia persica and its population discrimination assisted by supervised machine learning approach
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Correction: Multilocus marker-based delimitation of Salicornia persica and its population discrimination assisted by supervised machine learning approach

PloS one, 2023-03, Vol.18 (3), p.e0283034-e0283034 [Peer Reviewed Journal]

Copyright: © 2023 The PLOS ONE Staff. 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 The PLOS ONE Staff. 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 The PLOS ONE Staff 2023 The PLOS ONE Staff ;2023 The PLOS ONE Staff. 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.0283034 ;PMID: 36893117

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5
Correction: Designing transformer oil immersion cooling servers for machine learning and first principle calculations
Correction: Designing transformer oil immersion cooling servers for machine learning and first principle calculations
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Correction: Designing transformer oil immersion cooling servers for machine learning and first principle calculations

PloS one, 2022-09, Vol.17 (9), p.e0275189-e0275189 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 PLOS ONE Staff. 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. ;2022 PLOS ONE Staff 2022 PLOS ONE Staff ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0275189

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6
Correction: Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling
Correction: Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling
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Correction: Determining soil particle-size distribution from infrared spectra using machine learning predictions: Methodology and modeling

PloS one, 2022-08, Vol.17 (8), p.e0273277-e0273277 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 Jeanne Parent 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. ;2022 Jeanne Parent et al 2022 Jeanne Parent et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0273277 ;PMID: 35972950

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7
Correction: Applicability of machine learning technique in the screening of patients with mild traumatic brain injury
Correction: Applicability of machine learning technique in the screening of patients with mild traumatic brain injury
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Correction: Applicability of machine learning technique in the screening of patients with mild traumatic brain injury

PloS one, 2023-12, Vol.18 (12), p.e0295717-e0295717 [Peer Reviewed Journal]

Copyright: © 2023 Terabe 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 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0295717 ;PMID: 38055758

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8
Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome
Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome
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Correction: Expert-augmented automated machine learning optimizes hemodynamic predictors of spinal cord injury outcome

PloS one, 2023-11, Vol.18 (11), p.e0294081-e0294081 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;2023 Chou et al 2023 Chou et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0294081

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9
Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine
Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine
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Improving the workflow to crack Small, Unbalanced, Noisy, but Genuine

PLoS computational biology, 2023-04, Vol.19 (4), p.e1010325 [Peer Reviewed Journal]

COPYRIGHT 2023 Public Library of Science ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1010325

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10
Garlic
Garlic
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Garlic

PloS one, 2022-05, Vol.17 (5), p.e0268516 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0268516

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11
Correction: KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services
Correction: KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services
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Correction: KETOS: Clinical decision support and machine learning as a service - A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

PloS one, 2019-11, Vol.14 (11), p.e0225442-e0225442 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Gruendner 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 Gruendner et al 2019 Gruendner et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0225442 ;PMID: 31721815

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12
Clustering algorithms: A comparative approach
Clustering algorithms: A comparative approach
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Clustering algorithms: A comparative approach

PloS one, 2019-01, Vol.14 (1), p.e0210236-e0210236 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Rodriguez 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 Rodriguez et al 2019 Rodriguez et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0210236 ;PMID: 30645617

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13
Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2
Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2
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Machine learning approach for the development of a crucial tool in suicide prevention: The Suicide Crisis Inventory-2

PloS one, 2024-05, Vol.19 (5), p.e0299048 [Peer Reviewed Journal]

COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0299048

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14
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
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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 [Peer Reviewed Journal]

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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15
A pre-training and self-training approach for biomedical named entity recognition
A pre-training and self-training approach for biomedical named entity recognition
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A pre-training and self-training approach for biomedical named entity recognition

PloS one, 2021-02, Vol.16 (2), p.e0246310-e0246310 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;COPYRIGHT 2021 Public Library of Science ;This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication: https://creativecommons.org/publicdomain/zero/1.0/ (the “License”). 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.0246310 ;PMID: 33561139

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16
Better medicine through machine learning: What's real, and what's artificial?
Better medicine through machine learning: What's real, and what's artificial?
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Better medicine through machine learning: What's real, and what's artificial?

PLoS medicine, 2018-12, Vol.15 (12), p.e1002721-e1002721 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Saria 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. ;2018 Saria et al 2018 Saria et al ;ISSN: 1549-1676 ;ISSN: 1549-1277 ;EISSN: 1549-1676 ;DOI: 10.1371/journal.pmed.1002721 ;PMID: 30596635

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17
Boys don't cry
Boys don't cry
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Boys don't cry

PloS one, 2022-12, Vol.17 (12), p.e0278604 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0278604

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18
Webcrawling and machine learning as a new approach for the spatial distribution of atmospheric emissions
Webcrawling and machine learning as a new approach for the spatial distribution of atmospheric emissions
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Webcrawling and machine learning as a new approach for the spatial distribution of atmospheric emissions

Navngivelse 4.0 Internasjonal © 2018 Lopez-Aparicio et al. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0200650

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19
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System
A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System
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A reservoir bubble point pressure prediction model using the Adaptive Neuro-Fuzzy Inference System

PloS one, 2022-08, Vol.17 (8), p.e0272790 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0272790

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20
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires
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Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires

PLoS computational biology, 2020-10, Vol.16 (10), p.e1008228-e1008228 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Sainburg 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 Sainburg et al 2020 Sainburg et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1008228 ;PMID: 33057332

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