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1	Material Type: Article	Hierarchical quantum classifiers npj quantum information, 2018-12, Vol.4 (1), p.1-8, Article 65 [Peer Reviewed Journal] 2018. This work is published 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. ;ISSN: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-018-0116-9 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Land-Use Land-Cover Classification by Machine Learning Classifiers for Satellite Observations—A Review Remote sensing (Basel, Switzerland), 2020-04, Vol.12 (7), p.1135 [Peer Reviewed Journal] ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071135 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	A systematic comparison of supervised classifiers PloS 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: 24763312 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Tag N’ Train: a technique to train improved classifiers on unlabeled data The journal of high energy physics, 2021-01, Vol.2021 (1), p.1-21, Article 153 [Peer Reviewed Journal] The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-BY 4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP01(2021)153 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	One-class classifiers Journal of chemometrics, 2011-05, Vol.25 (5), p.225-246 [Peer Reviewed Journal] Copyright © 2011 John Wiley & Sons, Ltd. ;2015 INIST-CNRS ;ISSN: 0886-9383 ;ISSN: 1099-128X ;EISSN: 1099-128X ;DOI: 10.1002/cem.1397 ;CODEN: JOCHEU Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Gender imbalance in medical imaging datasets produces biased classifiers for computer-aided diagnosis Proceedings of the National Academy of Sciences - PNAS, 2020-06, Vol.117 (23), p.12592-12594 [Peer Reviewed Journal] Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 9, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1919012117 ;PMID: 32457147 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Stable reliability diagrams for probabilistic classifiers Proceedings of the National Academy of Sciences - PNAS, 2021-02, Vol.118 (8) [Peer Reviewed Journal] Copyright © 2021 the Author(s). Published by PNAS. ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2016191118 ;PMID: 33597296 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	Parametrized classifiers for optimal EFT sensitivity The journal of high energy physics, 2021-05, Vol.2021 (5), p.1-39, Article 247 [Peer Reviewed Journal] The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-BY 4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP05(2021)247 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric PloS one, 2017-06, Vol.12 (6), p.e0177678-e0177678 [Peer Reviewed Journal] COPYRIGHT 2017 Public Library of Science ;COPYRIGHT 2017 Public Library of Science ;2017 Boughorbel 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 Boughorbel et al 2017 Boughorbel et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0177678 ;PMID: 28574989 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Galois theory for analogical classifiers Annals of mathematics and artificial intelligence, 2024-01 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1012-2443 ;EISSN: 1573-7470 ;DOI: 10.1007/s10472-023-09833-6 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Comparison of Random Forest, k-Nearest Neighbor, and Support Vector Machine Classifiers for Land Cover Classification Using Sentinel-2 Imagery Sensors (Basel, Switzerland), 2017-12, Vol.18 (1), p.18 [Peer Reviewed Journal] 2018. This work is licensed under https://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. ;2017 by the authors. 2017 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s18010018 ;PMID: 29271909 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning Classifiers Sensors (Basel, Switzerland), 2021-03, Vol.21 (6), p.2222 [Peer Reviewed Journal] 2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21062222 ;PMID: 33810176 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data Bioinformatics, 2012-01, Vol.28 (2), p.167-175 [Peer Reviewed Journal] The Author(s) 2011. Published by Oxford University Press. 2011 ;2015 INIST-CNRS ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btr629 ;PMID: 22084253 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Learning likelihood ratios with neural network classifiers The journal of high energy physics, 2024-02, Vol.2024 (2), p.1-41 [Peer Reviewed Journal] The Author(s) 2024 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP02(2024)136 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Decision tree classifiers for evidential attribute values and class labels Fuzzy sets and systems, 2019-07, Vol.366, p.46-62 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0165-0114 ;EISSN: 1872-6801 ;DOI: 10.1016/j.fss.2018.11.006 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers Sensors (Basel, Switzerland), 2020-03, Vol.20 (7), p.1884 [Peer Reviewed Journal] 2020. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2020 by the authors. 2020 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s20071884 ;PMID: 32231167 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Quantum noise protects quantum classifiers against adversaries Physical review research, 2021-05, Vol.3 (2), p.023153, Article 023153 [Peer Reviewed Journal] ISSN: 2643-1564 ;EISSN: 2643-1564 ;DOI: 10.1103/PhysRevResearch.3.023153 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Deconstructing Cross-Entropy for Probabilistic Binary Classifiers Entropy (Basel, Switzerland), 2018-03, Vol.20 (3), p.208 [Peer Reviewed Journal] Copyright MDPI AG 2018 ;2018 by the authors. 2018 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e20030208 ;PMID: 33265299 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Comparing Thresholding with Machine Learning Classifiers for Mapping Complex Water Remote sensing (Basel, Switzerland), 2019-06, Vol.11 (11), p.1351 [Peer Reviewed Journal] 2019. This work is licensed under https://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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111351 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Ensemble of a subset of kNN classifiers Advances in data analysis and classification, 2018, Vol.12 (4), p.827-840 [Peer Reviewed Journal] The Author(s) 2016 ;Advances in Data Analysis and Classification is a copyright of Springer, (2016). All Rights Reserved. © 2016. This work is published 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. ;ISSN: 1862-5347 ;EISSN: 1862-5355 ;DOI: 10.1007/s11634-015-0227-5 ;PMID: 30931011 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 53,862 for All Library Resources

2018. This work is published 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. ;ISSN: 2056-6387 ;EISSN: 2056-6387 ;DOI: 10.1038/s41534-018-0116-9

ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs12071135

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-BY 4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP01(2021)153

Copyright © 2011 John Wiley & Sons, Ltd. ;2015 INIST-CNRS ;ISSN: 0886-9383 ;ISSN: 1099-128X ;EISSN: 1099-128X ;DOI: 10.1002/cem.1397 ;CODEN: JOCHEU

Copyright © 2020 the Author(s). Published by PNAS. ;Copyright National Academy of Sciences Jun 9, 2020 ;Copyright © 2020 the Author(s). Published by PNAS. 2020 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.1919012117 ;PMID: 32457147

Copyright © 2021 the Author(s). Published by PNAS. ;Copyright © 2021 the Author(s). Published by PNAS. 2021 ;ISSN: 0027-8424 ;EISSN: 1091-6490 ;DOI: 10.1073/pnas.2016191118 ;PMID: 33597296

The Author(s) 2021 ;The Author(s) 2021. This work is published under CC-BY 4.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1029-8479 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP05(2021)247

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1012-2443 ;EISSN: 1573-7470 ;DOI: 10.1007/s10472-023-09833-6

2021 by the authors. 2021 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s21062222 ;PMID: 33810176

The Author(s) 2011. Published by Oxford University Press. 2011 ;2015 INIST-CNRS ;ISSN: 1367-4803 ;EISSN: 1460-2059 ;EISSN: 1367-4811 ;DOI: 10.1093/bioinformatics/btr629 ;PMID: 22084253

The Author(s) 2024 ;EISSN: 1029-8479 ;DOI: 10.1007/JHEP02(2024)136

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0165-0114 ;EISSN: 1872-6801 ;DOI: 10.1016/j.fss.2018.11.006

ISSN: 2643-1564 ;EISSN: 2643-1564 ;DOI: 10.1103/PhysRevResearch.3.023153

Copyright MDPI AG 2018 ;2018 by the authors. 2018 ;ISSN: 1099-4300 ;EISSN: 1099-4300 ;DOI: 10.3390/e20030208 ;PMID: 33265299

2019. This work is licensed under https://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. ;ISSN: 2072-4292 ;EISSN: 2072-4292 ;DOI: 10.3390/rs11111351

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