Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
---|---|---|---|
1 |
Material Type: Article
|
Prediction of heart disease and classifiers’ sensitivity analysisBMC bioinformatics, 2020-07, Vol.21 (1), p.1-278, Article 278 [Peer Reviewed Journal]COPYRIGHT 2020 BioMed Central Ltd. ;2020. 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) 2020 ;ISSN: 1471-2105 ;EISSN: 1471-2105 ;DOI: 10.1186/s12859-020-03626-y ;PMID: 32615980Full text available |
|
2 |
Material Type: Article
|
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 |
|
3 |
Material Type: Article
|
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 |
|
4 |
Material Type: Article
|
Tag N’ Train: a technique to train improved classifiers on unlabeled dataThe 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)153Full text available |
|
5 |
Material Type: Article
|
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 |
|
6 |
Material Type: Article
|
Parametrized classifiers for optimal EFT sensitivityThe 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)247Full text available |
|
7 |
Material Type: Article
|
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 |
|
8 |
Material Type: Article
|
Differentiation of supratentorial single brain metastasis and glioblastoma by using peri-enhancing oedema region–derived radiomic features and multiple classifiersEuropean radiology, 2020-05, Vol.30 (5), p.3015-3022 [Peer Reviewed Journal]European Society of Radiology 2019 ;European Society of Radiology 2019. ;ISSN: 0938-7994 ;EISSN: 1432-1084 ;DOI: 10.1007/s00330-019-06460-w ;PMID: 32006166Full text available |
|
9 |
Material Type: Article
|
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 |
|
10 |
Material Type: Article
|
MRI-Based Brain Tumor Classification Using Ensemble of Deep Features and Machine Learning ClassifiersSensors (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: 33810176Full text available |
|
11 |
Material Type: Article
|
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiersMedical physics (Lancaster), 2018-07, Vol.45 (7), p.3449-3459 [Peer Reviewed Journal]2018 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. ;ISSN: 0094-2405 ;EISSN: 2473-4209 ;DOI: 10.1002/mp.12967 ;PMID: 29763967Full text available |
|
12 |
Material Type: Article
|
Galaxy Merger Rates up to z ∼ 3 Using a Bayesian Deep Learning Model: A Major-merger Classifier Using IllustrisTNG Simulation DataThe Astrophysical journal, 2020-06, Vol.895 (2), p.115 [Peer Reviewed Journal]2020. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Jun 01, 2020 ;ISSN: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ab8f9bFull text available |
|
13 |
Material Type: Article
|
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 |
|
14 |
Material Type: Article
|
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 |
|
15 |
Material Type: Article
|
Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison StudyPloS one, 2015-12, Vol.10 (12), p.e0145118-e0145118 [Peer Reviewed Journal]COPYRIGHT 2015 Public Library of Science ;COPYRIGHT 2015 Public Library of Science ;2015 Maier 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 Maier et al 2015 Maier et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0145118 ;PMID: 26672989Full text available |
|
16 |
Material Type: Article
|
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning ClassifiersSensors (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: 32231167Full text available |
|
17 |
Material Type: Article
|
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 |
|
18 |
Material Type: Conference Proceeding
|
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 |
|
19 |
Material Type: Article
|
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 |
|
20 |
Material Type: Article
|
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 |