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| Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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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 |
| 2 |
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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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 |
| 4 |
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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 |
| 5 |
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 |
| 6 |
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 |
| 7 |
Material Type: Article
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Evidential calibration of binary SVM classifiersInternational journal of approximate reasoning, 2016-05, Vol.72, p.55-70 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0888-613X ;EISSN: 1873-4731 ;DOI: 10.1016/j.ijar.2015.05.002Digital Resources/Online E-Resources |
| 8 |
Material Type: Article
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A geometric framework for multiclass ensemble classifiersMachine learning, 2023-12, Vol.112 (12), p.4929-4958 [Peer Reviewed Journal]The Author(s) 2023 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06406-wDigital Resources/Online E-Resources |
| 9 |
Material Type: Article
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Novel deep genetic ensemble of classifiers for arrhythmia detection using ECG signalsNeural computing & applications, 2020-08, Vol.32 (15), p.11137-11161 [Peer Reviewed Journal]The Author(s) 2019 ;The Author(s) 2019. 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: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-018-03980-2Full text available |
| 10 |
Material Type: Conference Proceeding
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Towards Ontologically Explainable ClassifiersArtificial Neural Networks and Machine Learning - ICANN 2021 : 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14-17, 2021, Proceedings, Part II, 2021, Vol.12892, p.472-484 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISBN: 9783030863395 ;ISBN: 3030863395 ;DOI: 10.1007/978-3-030-86340-1_38Digital Resources/Online E-Resources |
| 11 |
Material Type: Article
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Tractability of explaining classifier decisionsArtificial intelligence, 2023-03, Vol.316 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0004-3702 ;EISSN: 1872-7921 ;DOI: 10.1016/j.artint.2022.103841Digital Resources/Online E-Resources |
| 12 |
Material Type: Article
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Software defect prediction: do different classifiers find the same defects?Software quality journal, 2018-06, Vol.26 (2), p.525-552 [Peer Reviewed Journal]The Author(s) 2017 ;Software Quality Journal is a copyright of Springer, (2017). All Rights Reserved. ;ISSN: 0963-9314 ;EISSN: 1573-1367 ;DOI: 10.1007/s11219-016-9353-3Full text available |
| 13 |
Material Type: Article
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Copying Machine Learning ClassifiersIEEE access, 2020, Vol.8, p.160268-160284 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2020.3020638 ;CODEN: IAECCGFull text available |
| 14 |
Material Type: Article
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Semi-supervised self-training for decision tree classifiersInternational journal of machine learning and cybernetics, 2017-02, Vol.8 (1), p.355-370 [Peer Reviewed Journal]The Author(s) 2015 ;ISSN: 1868-8071 ;EISSN: 1868-808X ;DOI: 10.1007/s13042-015-0328-7Digital Resources/Online E-Resources |
| 15 |
Material Type: Article
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Optimization of sentiment analysis using machine learning classifiersHuman-centric computing and information sciences, 2017-12, Vol.7 (1), p.1-12, Article 32 [Peer Reviewed Journal]The Author(s) 2017 ;Human-centric Computing and Information Sciences is a copyright of Springer, (2017). All Rights Reserved. © 2017. 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: 2192-1962 ;EISSN: 2192-1962 ;DOI: 10.1186/s13673-017-0116-3Full text available |
| 16 |
Material Type: Book
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Advances in Learning Classifier Systems: 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001. Revised PapersSpringer-Verlag Berlin Heidelberg 2002 ;ISSN: 0302-9743 ;ISBN: 3540437932 ;ISBN: 9783540437932 ;ISBN: 9783540830078 ;ISBN: 3540830073 ;EISSN: 1611-3349 ;EISBN: 3540481044 ;EISBN: 9783540481041 ;DOI: 10.1007/3-540-48104-4 ;OCLC: 50473165Full text available |
| 17 |
Material Type: Article
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Tree-based dynamic classifier chainsMachine learning, 2023-11, Vol.112 (11), p.4129-4165 [Peer Reviewed Journal]The Author(s) 2022 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06162-3Digital Resources/Online E-Resources |
| 18 |
Material Type: Article
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Ensemble of a subset of kNN classifiersAdvances 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: 30931011Full text available |
| 19 |
Material Type: Article
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Improving tRNAscan-SE Annotation Results via Ensemble ClassifiersMolecular informatics, 2015-11, Vol.34 (11-12), p.761-770 [Peer Reviewed Journal]2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim ;2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. ;ISSN: 1868-1743 ;EISSN: 1868-1751 ;DOI: 10.1002/minf.201500031 ;PMID: 27491037Full text available |
| 20 |
Material Type: Article
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Multi-dimensional Bayesian network classifiers: A surveyThe Artificial intelligence review, 2021, Vol.54 (1), p.519-559 [Peer Reviewed Journal]Springer Nature B.V. 2020 ;COPYRIGHT 2021 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09858-xFull text available |
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