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1
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
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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
A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example
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A Machine Learning Model Based on GRU and LSTM to Predict the Environmental Parameters in a Layer House, Taking CO[sub.2] Concentration as an Example

Sensors (Basel, Switzerland), 2023-12, Vol.24 (1) [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s24010244

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4
Correction: A hybrid machine learning framework to improve prediction of all-cause rehospitalization among eldely patients in Hong Kong
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Correction: A hybrid machine learning framework to improve prediction of all-cause rehospitalization among eldely patients in Hong Kong

BMC medical research methodology, 2023-02, Vol.23 (1), p.38-38, Article 38 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. 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) 2023 ;ISSN: 1471-2288 ;EISSN: 1471-2288 ;DOI: 10.1186/s12874-023-01851-6 ;PMID: 36782144

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5
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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6
How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM[sub.2.5] Using Machine Learning?
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How Important Is Satellite-Retrieved Aerosol Optical Depth in Deriving Surface PM[sub.2.5] Using Machine Learning?

Remote sensing (Basel, Switzerland), 2023-07, Vol.15 (15) [Peer Reviewed Journal]

COPYRIGHT 2023 MDPI AG ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs15153780

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7
Machine Learning in Psychometrics and Psychological Research
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Machine Learning in Psychometrics and Psychological Research

Frontiers in psychology, 2020-01, Vol.10, p.2970-2970 [Peer Reviewed Journal]

Copyright © 2020 Orrù, Monaro, Conversano, Gemignani and Sartori. ;Copyright © 2020 Orrù, Monaro, Conversano, Gemignani and Sartori. 2020 Orrù, Monaro, Conversano, Gemignani and Sartori ;ISSN: 1664-1078 ;EISSN: 1664-1078 ;DOI: 10.3389/fpsyg.2019.02970 ;PMID: 31998200

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8
Retracted: Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing
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Retracted: Implementing Machine Learning for Supply-Demand Shifts and Price Impacts in Farmer Market for Tool and Equipment Sharing

Journal of food quality, 2024-01, Vol.2024, p.1-1 [Peer Reviewed Journal]

Copyright © 2024 Journal of Food Quality. ;COPYRIGHT 2024 Hindawi Limited ;Copyright © 2024 Journal of Food Quality. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 0146-9428 ;EISSN: 1745-4557 ;DOI: 10.1155/2024/9826861

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9
Featured Cover
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Featured Cover

Wind energy (Chichester, England), 2022-06, Vol.25 (6), p.i-i [Peer Reviewed Journal]

2022 John Wiley & Sons, Ltd. ;ISSN: 1095-4244 ;EISSN: 1099-1824 ;DOI: 10.1002/we.2754

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10
Error Prediction of Air Quality at Monitoring Stations Using Random Forest in a Total Error Framework
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Error Prediction of Air Quality at Monitoring Stations Using Random Forest in a Total Error Framework

Navngivelse 4.0 Internasjonal Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21062160

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11
Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients
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Correction: Use machine learning to help identify possible sarcopenia cases in maintenance hemodialysis patients

BMC nephrology, 2023-04, Vol.24 (1), p.110-110, Article 110 [Peer Reviewed Journal]

COPYRIGHT 2023 BioMed Central Ltd. ;2023. 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) 2023 ;ISSN: 1471-2369 ;EISSN: 1471-2369 ;DOI: 10.1186/s12882-023-03139-9 ;PMID: 37101122

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12
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
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Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

IEEE access, 2018-01, Vol.6, p.52138-52160 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2870052 ;CODEN: IAECCG

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13
Explainable Machine Learning for Scientific Insights and Discoveries
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Explainable Machine Learning for Scientific Insights and Discoveries

IEEE access, 2020, Vol.8, p.42200-42216 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2976199 ;CODEN: IAECCG

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14
Correction to: DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software
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Correction to: DeepBeam: a machine learning framework for tuning the primary electron beam of the PRIMO Monte Carlo software

Radiation oncology (London, England), 2022-02, Vol.17 (1), p.44-44, Article 44 [Peer Reviewed Journal]

COPYRIGHT 2022 BioMed Central Ltd. ;The Author(s) 2022 ;ISSN: 1748-717X ;EISSN: 1748-717X ;DOI: 10.1186/s13014-022-01983-x ;PMID: 35227309

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15
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning
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Methodology for biomarker discovery with reproducibility in microbiome data using machine learning

ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05639-3

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16
Methodology for biomarker discovery with reproducibility in microbiome data using machine learning
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Methodology for biomarker discovery with reproducibility in microbiome data using machine learning

ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-024-05639-3

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17
Advances and Practical Applications of Deep and Shallow Machine Learning
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Advances and Practical Applications of Deep and Shallow Machine Learning

J.UCS (Annual print and CD-ROM archive ed.), 2022-03, Vol.28 (3), p.225-226 [Peer Reviewed Journal]

COPYRIGHT 2022 Pensoft Publishers ;2022. This work is licensed under https://creativecommons.org/licenses/by-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: 0948-695X ;EISSN: 0948-6968 ;DOI: 10.3897/jucs.80697

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18
Retracted: The Application of Machine Learning Models in Network Protocol Vulnerability Mining
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Retracted: The Application of Machine Learning Models in Network Protocol Vulnerability Mining

Security and communication networks, 2023-08, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Security and Communication Networks. ;Copyright © 2023 Security and Communication Networks. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1939-0114 ;EISSN: 1939-0122 ;DOI: 10.1155/2023/9765054

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19
Retracted: A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information
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Retracted: A New Approach to Model Machine Learning by Using Complex Bipolar Intuitionistic Fuzzy Information

Journal of function spaces, 2024-01, Vol.2024, p.1-1 [Peer Reviewed Journal]

Copyright © 2024 Journal of Function Spaces. ;Copyright © 2024 Journal of Function Spaces. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 2314-8896 ;EISSN: 2314-8888 ;DOI: 10.1155/2024/9829210

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20
Retracted: Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems
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Retracted: Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems

Security and communication networks, 2023-07, Vol.2023, p.1-1 [Peer Reviewed Journal]

Copyright © 2023 Security and Communication Networks. ;Copyright © 2023 Security and Communication Networks. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 ;ISSN: 1939-0114 ;EISSN: 1939-0122 ;DOI: 10.1155/2023/9847245

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