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Material Type: Article
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Ensemble-based classifiersThe Artificial intelligence review, 2010-02, Vol.33 (1-2), p.1-39 [Peer Reviewed Journal]Springer Science+Business Media B.V. 2009 ;Springer Science+Business Media B.V. 2010 ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-009-9124-7Full text available |
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Material Type: Article
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Analysis of classifiers’ robustness to adversarial perturbationsMachine learning, 2018-03, Vol.107 (3), p.481-508 [Peer Reviewed Journal]The Author(s) 2017 ;Machine Learning is a copyright of Springer, (2017). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5663-3Full text available |
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3 |
Material Type: Article
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Probing Classifiers: Promises, Shortcomings, and AdvancesComputational linguistics - Association for Computational Linguistics, 2022-04, Vol.48 (1), p.207-219 [Peer Reviewed Journal]2022. This work is published under https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 0891-2017 ;EISSN: 1530-9312 ;DOI: 10.1162/coli_a_00422Full text available |
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4 |
Material Type: Article
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Combination of classifiers with optimal weight based on evidential reasoningIEEE transactions on fuzzy systems, 2018-06, Vol.26 (3) [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1063-6706 ;EISSN: 1941-0034 ;DOI: 10.1109/TFUZZ.2017.2718483Digital Resources/Online E-Resources |
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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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Comprehensive benchmarking and ensemble approaches for metagenomic classifiersGenome Biology, 2017-09, Vol.18 (1), p.182-19, Article 182 [Peer Reviewed Journal]2017. 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). 2017 ;ISSN: 1474-760X ;ISSN: 1474-7596 ;EISSN: 1474-760X ;DOI: 10.1186/s13059-017-1299-7 ;PMID: 28934964Full text available |
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Material Type: Article
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Diabetes Prediction Using Ensembling of Different Machine Learning ClassifiersIEEE access, 2020, Vol.8, p.76516-76531 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.2989857 ;CODEN: IAECCGFull text available |
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8 |
Material Type: Article
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One-class classifiersJournal 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: JOCHEUFull text available |
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9 |
Material Type: Article
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Tracking Sparse Linear ClassifiersIEEE transaction on neural networks and learning systems, 2019-07, Vol.30 (7), p.2079-2092Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2018.2877433Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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A review of epileptic seizure detection using machine learning classifiersBrain informatics, 2020-05, Vol.7 (1), p.5-5, Article 5 [Peer Reviewed Journal]The Author(s) 2020 ;COPYRIGHT 2020 Springer ;The Author(s) 2020. 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: 2198-4018 ;EISSN: 2198-4026 ;DOI: 10.1186/s40708-020-00105-1 ;PMID: 32451639Full text available |
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11 |
Material Type: Article
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Domain Adaptation for Statistical ClassifiersThe Journal of artificial intelligence research, 2006-01, Vol.26, p.101-126 [Peer Reviewed Journal]2006. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the associated terms available at https://www.jair.org/index.php/jair/about ;ISSN: 1076-9757 ;EISSN: 1943-5037 ;DOI: 10.1613/jair.1872Full text available |
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12 |
Material Type: Article
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Nearest neighbors distance ratio open-set classifierMachine learning, 2017-03, Vol.106 (3), p.359-386 [Peer Reviewed Journal]The Author(s) 2016 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-016-5610-8Full text available |
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13 |
Material Type: Article
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Galois theory for analogical classifiersAnnals 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/s10472-023-09833-6Digital Resources/Online E-Resources |
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14 |
Material Type: Article
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Explaining classifiers by constructing familiar conceptsMachine learning, 2023-11, Vol.112 (11), p.4167-4200 [Peer Reviewed Journal]The Author(s) 2022 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06157-0Digital Resources/Online E-Resources |
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15 |
Material Type: Article
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Classifier chains for multi-label classificationMachine learning, 2011-12, Vol.85 (3), p.333-359 [Peer Reviewed Journal]The Author(s) 2011 ;2015 INIST-CNRS ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-011-5256-5Full text available |
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16 |
Material Type: Article
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Learning Ordinal-Hierarchical Constraints for Deep Learning ClassifiersIEEE transaction on neural networks and learning systems, 2024-02, p.1-14ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2024.3360641 ;CODEN: ITNNALDigital Resources/Online E-Resources |
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17 |
Material Type: Article
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Classifiers Combination Techniques: A Comprehensive ReviewIEEE access, 2018-01, Vol.6, p.19626-19639 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2813079 ;CODEN: IAECCGFull text available |
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18 |
Material Type: Article
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Test Input Prioritization for Machine Learning ClassifiersIEEE transactions on software engineering, 2024-03, Vol.50 (3), p.413-442 [Peer Reviewed Journal]ISSN: 0098-5589 ;DOI: 10.1109/TSE.2024.3350019 ;CODEN: IESEDJDigital Resources/Online E-Resources |
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19 |
Material Type: Article
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Decision tree classifiers for evidential attribute values and class labelsFuzzy 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.2018.11.006Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing dataBioinformatics, 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: 22084253Full text available |