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1
100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradox
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100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradox

PloS one, 2014-01, Vol.9 (1), p.e84217-e84217 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Valverde-Albacete, Peláez-Moreno. 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. ;2014 Valverde-Albacete, Peláez-Moreno 2014 Valverde-Albacete, Peláez-Moreno ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0084217 ;PMID: 24427282

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2
16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets
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16S classifier: a tool for fast and accurate taxonomic classification of 16S rRNA hypervariable regions in metagenomic datasets

PloS one, 2015-02, Vol.10 (2), p.e0116106-e0116106 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Chaudhary 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 Chaudhary et al 2015 Chaudhary et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0116106 ;PMID: 25646627

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3
Accurate and reliable cancer classification based on probabilistic inference of pathway activity
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Accurate and reliable cancer classification based on probabilistic inference of pathway activity

PloS one, 2009-12, Vol.4 (12), p.e8161-e8161 [Peer Reviewed Journal]

COPYRIGHT 2009 Public Library of Science ;2009 Su et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License (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. ;Su et al. 2009 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0008161 ;PMID: 19997592

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4
Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier
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Acoustic emission corrosion feature extraction and severity prediction using hybrid wavelet packet transform and linear support vector classifier

PloS one, 2021-12, Vol.16 (12), p.e0261040-e0261040 [Peer Reviewed Journal]

COPYRIGHT 2021 Public Library of Science ;2021 May 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 May et al 2021 May et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0261040 ;PMID: 34914761

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5
Active semi-supervised learning for biological data classification
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Active semi-supervised learning for biological data classification

PloS one, 2020-08, Vol.15 (8), p.e0237428-e0237428 [Peer Reviewed Journal]

COPYRIGHT 2020 Public Library of Science ;COPYRIGHT 2020 Public Library of Science ;2020 Camargo 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 Camargo et al 2020 Camargo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0237428 ;PMID: 32813738

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6
Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI
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Adaptive multi-degree of freedom Brain Computer Interface using online feedback: Towards novel methods and metrics of mutual adaptation between humans and machines for BCI

PloS one, 2019-03, Vol.14 (3), p.e0212620-e0212620 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Nguyen 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 Nguyen et al 2019 Nguyen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0212620 ;PMID: 30840712

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7
Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks
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Age grading An. gambiae and An. arabiensis using near infrared spectra and artificial neural networks

PloS one, 2019-08, Vol.14 (8), p.e0209451 [Peer Reviewed Journal]

COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 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.0209451 ;PMID: 31412028

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8
Alzheimer's disease risk assessment using large-scale machine learning methods
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Alzheimer's disease risk assessment using large-scale machine learning methods

PloS one, 2013-11, Vol.8 (11), p.e77949-e77949 [Peer Reviewed Journal]

COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013. 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. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2013 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0077949 ;PMID: 24250789

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9
Amino acid sequence assignment from single molecule peptide sequencing data using a two-stage classifier
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Amino acid sequence assignment from single molecule peptide sequencing data using a two-stage classifier

PLoS computational biology, 2023-05, Vol.19 (5), p.e1011157-e1011157 [Peer Reviewed Journal]

Copyright: © 2023 Smith 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 Smith 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 Smith et al 2023 Smith et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/journal.pcbi.1011157 ;PMID: 37253025

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10
An accurate prostate cancer prognosticator using a seven-gene signature plus Gleason score and taking cell type heterogeneity into account
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An accurate prostate cancer prognosticator using a seven-gene signature plus Gleason score and taking cell type heterogeneity into account

PloS one, 2012-09, Vol.7 (9), p.e45178-e45178 [Peer Reviewed Journal]

COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;Chen 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. ;2012 Chen et al 2012 Chen et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0045178 ;PMID: 23028830

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11
An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2
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Article
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An active learning-based approach for screening scholarly articles about the origins of SARS-CoV-2

PloS one, 2022-09, Vol.17 (9), p.e0273725-e0273725 [Peer Reviewed Journal]

COPYRIGHT 2022 Public Library of Science ;2022 An 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 An et al 2022 An et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0273725 ;PMID: 36112646

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12
An Alzheimer's Disease-Derived Biomarker Signature Identifies Parkinson's Disease Patients with Dementia
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An Alzheimer's Disease-Derived Biomarker Signature Identifies Parkinson's Disease Patients with Dementia

PloS one, 2016-01, Vol.11 (1), p.e0147319-e0147319 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Berlyand 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. ;2016 Berlyand et al 2016 Berlyand et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0147319 ;PMID: 26812251

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13
An automated system for the objective evaluation of human gustatory sensitivity using tongue biopotential recordings
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An automated system for the objective evaluation of human gustatory sensitivity using tongue biopotential recordings

PloS one, 2017-08, Vol.12 (8), p.e0177246-e0177246 [Peer Reviewed Journal]

COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Pani 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 Pani et al 2017 Pani et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0177246 ;PMID: 28767651

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14
Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers
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Analysis of Web Spam for Non-English Content: Toward More Effective Language-Based Classifiers

PloS one, 2016-11, Vol.11 (11), p.e0164383-e0164383 [Peer Reviewed Journal]

COPYRIGHT 2016 Public Library of Science ;COPYRIGHT 2016 Public Library of Science ;2016 Alsaleh, Alarifi. 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. ;2016 Alsaleh, Alarifi 2016 Alsaleh, Alarifi ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0164383 ;PMID: 27855179

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15
Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining
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Analyzing large gene expression and methylation data profiles using StatBicRM: statistical biclustering-based rule mining

PloS one, 2015-04, Vol.10 (4), p.e0119448-e0119448 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Maulik 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 Maulik et al 2015 Maulik et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0119448 ;PMID: 25830807

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16
Ant colony optimization algorithm for interpretable Bayesian classifiers combination: application to medical predictions
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Ant colony optimization algorithm for interpretable Bayesian classifiers combination: application to medical predictions

PloS one, 2014-02, Vol.9 (2), p.e86456-e86456 [Peer Reviewed Journal]

COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Bouktif 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/legalcode (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. ;2014 Bouktif et al 2014 Bouktif et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0086456 ;PMID: 24498276

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17
Ant genera identification using an ensemble of convolutional neural networks
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Ant genera identification using an ensemble of convolutional neural networks

PloS one, 2018-01, Vol.13 (1), p.e0192011-e0192011 [Peer Reviewed Journal]

COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Marques 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 Marques et al 2018 Marques et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0192011 ;PMID: 29385214

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18
Application of LogitBoost Classifier for Traceability Using SNP Chip Data
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Application of LogitBoost Classifier for Traceability Using SNP Chip Data

PloS one, 2015-10, Vol.10 (10), p.e0139685-e0139685 [Peer Reviewed Journal]

COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Kim 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 Kim et al 2015 Kim et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0139685 ;PMID: 26436917

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19
Application of random forests methods to diabetic retinopathy classification analyses
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Application of random forests methods to diabetic retinopathy classification analyses

PloS one, 2014-06, Vol.9 (6), p.e98587-e98587 [Peer Reviewed Journal]

2014. 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. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2014 ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0098587 ;PMID: 24940623

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20
Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer
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Applying a GAN-based classifier to improve transcriptome-based prognostication in breast cancer

PLoS computational biology, 2023-04, Vol.19 (4), p.e1011035-e1011035 [Peer Reviewed Journal]

Copyright: © 2023 Guttà 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 Guttà 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 Guttà et al 2023 Guttà et al ;ISSN: 1553-7358 ;ISSN: 1553-734X ;EISSN: 1553-7358 ;DOI: 10.1371/JOURNAL.PCBI.1011035 ;PMID: 37011102

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