Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasetsPloS one, 2015-03, Vol.10 (3), p.e0118432-e0118432 [Peer Reviewed Journal]COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Saito, Rehmsmeier. 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 Saito, Rehmsmeier 2015 Saito, Rehmsmeier ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0118432 ;PMID: 25738806Full text available |
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Material Type: Article
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A performance comparison of supervised machine learning models for Covid-19 tweets sentiment analysisPloS 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: 33630869Full text available |
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Material Type: Article
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Hate speech detection and racial bias mitigation in social media based on BERT modelPloS one, 2020-08, Vol.15 (8), p.e0237861-e0237861 [Peer Reviewed Journal]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: 32853205Full text available |
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Material Type: Article
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A convolutional neural network for steady state visual evoked potential classification under ambulatory environmentPloS one, 2017-02, Vol.12 (2), p.e0172578-e0172578 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Kwak 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 Kwak et al 2017 Kwak et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0172578 ;PMID: 28225827Full text available |
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Material Type: Article
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SVM and SVM Ensembles in Breast Cancer PredictionPloS one, 2017-01, Vol.12 (1), p.e0161501-e0161501 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Huang 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 Huang et al 2017 Huang et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0161501 ;PMID: 28060807Full text available |
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Material Type: Article
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Discovery and validation of a prostate cancer genomic classifier that predicts early metastasis following radical prostatectomyPloS one, 2013-06, Vol.8 (6), p.e66855-e66855 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;2013 Erho 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 Erho et al 2013 Erho et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0066855 ;PMID: 23826159Full text available |
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Material Type: Article
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Upper limb movements can be decoded from the time-domain of low-frequency EEGPloS one, 2017-08, Vol.12 (8), p.e0182578-e0182578 [Peer Reviewed Journal]COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Ofner 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 Ofner et al 2017 Ofner et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0182578 ;PMID: 28797109Full text available |
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Material Type: Article
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A systematic comparison of supervised classifiersPloS one, 2014-04, Vol.9 (4), p.e94137-e94137 [Peer Reviewed Journal]COPYRIGHT 2014 Public Library of Science ;COPYRIGHT 2014 Public Library of Science ;2014 Amancio 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. ;2014 Amancio et al 2014 Amancio et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0094137 ;PMID: 24763312Full text available |
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Material Type: Article
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The role of balanced training and testing data sets for binary classifiers in bioinformaticsPloS one, 2013-07, Vol.8 (7), p.e67863-e67863 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Wei, Dunbrack. 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 Wei, Dunbrack 2013 Wei, Dunbrack ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0067863 ;PMID: 23874456Full text available |
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Material Type: Article
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A new quantum approach to binary classificationPloS one, 2019-05, Vol.14 (5), p.e0216224-e0216224 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Sergioli 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 Sergioli et al 2019 Sergioli et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0216224 ;PMID: 31071129Full text available |
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Material Type: Article
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100% classification accuracy considered harmful: the normalized information transfer factor explains the accuracy paradoxPloS 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: 24427282Full text available |
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Material Type: Article
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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measuresPloS one, 2019-08, Vol.14 (8), p.e0219796 [Peer Reviewed Journal]COPYRIGHT 2019 Public Library of Science ;COPYRIGHT 2019 Public Library of Science ;2019 Shtar 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 Shtar et al 2019 Shtar et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0219796 ;PMID: 31369568Full text available |
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Material Type: Article
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Automatic prediction of cardiovascular and cerebrovascular events using heart rate variability analysisPloS one, 2015-03, Vol.10 (3), p.e0118504-e0118504 [Peer Reviewed Journal]COPYRIGHT 2015 Public Library of Science ;2015 Melillo 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 Melillo et al 2015 Melillo et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0118504 ;PMID: 25793605Full text available |
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Material Type: Article
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CREST--classification resources for environmental sequence tagsPloS one, 2012-11, Vol.7 (11), p.e49334-e49334 [Peer Reviewed Journal]COPYRIGHT 2012 Public Library of Science ;COPYRIGHT 2012 Public Library of Science ;2012 Lanzén 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 Lanzén et al 2012 Lanzén et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0049334 ;PMID: 23145153Full text available |
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Material Type: Article
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A soft voting ensemble classifier for early prediction and diagnosis of occurrences of major adverse cardiovascular events for STEMI and NSTEMI during 2-year follow-up in patients with acute coronary syndromePloS one, 2021-06, Vol.16 (6), p.e0249338-e0249338 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;2021 Sherazi 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 Sherazi et al 2021 Sherazi et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0249338 ;PMID: 34115750Full text available |
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Material Type: Article
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MetaWorks: A flexible, scalable bioinformatic pipeline for high-throughput multi-marker biodiversity assessmentsPloS one, 2022-09, Vol.17 (9), p.e0274260-e0274260 [Peer Reviewed Journal]COPYRIGHT 2022 Public Library of Science ;2022 Porter, Hajibabaei. 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 Porter, Hajibabaei 2022 Porter, Hajibabaei ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0274260Full text available |
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Material Type: Article
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Pain assessment in horses using automatic facial expression recognition through deep learning-based modelingPloS one, 2021-10, Vol.16 (10), p.e0258672-e0258672 [Peer Reviewed Journal]COPYRIGHT 2021 Public Library of Science ;2021 Lencioni 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 Lencioni et al 2021 Lencioni et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0258672 ;PMID: 34665834Full text available |
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Material Type: Article
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GPSuc: Global Prediction of Generic and Species-specific Succinylation Sites by aggregating multiple sequence featuresPloS one, 2018-10, Vol.13 (10), p.e0200283-e0200283 [Peer Reviewed Journal]COPYRIGHT 2018 Public Library of Science ;COPYRIGHT 2018 Public Library of Science ;2018 Hasan, Kurata. 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 Hasan, Kurata 2018 Hasan, Kurata ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0200283 ;PMID: 30312302Full text available |
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Material Type: Article
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Deep sequencing identifies ethnicity-specific bacterial signatures in the oral microbiomePloS one, 2013-10, Vol.8 (10), p.e77287-e77287 [Peer Reviewed Journal]COPYRIGHT 2013 Public Library of Science ;COPYRIGHT 2013 Public Library of Science ;2013 Mason 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 Mason et al 2013 Mason et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0077287 ;PMID: 24194878Full text available |
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Material Type: Article
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Fast, Simple and Accurate Handwritten Digit Classification by Training Shallow Neural Network Classifiers with the 'Extreme Learning Machine' AlgorithmPloS one, 2015-08, Vol.10 (8), p.e0134254-e0134254 [Peer Reviewed Journal]COPYRIGHT 2015 Public Library of Science ;2015 McDonnell 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 McDonnell et al 2015 McDonnell et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0134254 ;PMID: 26262687Full text available |