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Peer-reviewed Journals (7,300)

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Result Number	Material Type	Record Details and Options
1	Material Type: Article	Decision Boundary Extraction of Classifiers Journal of physics. Conference series, 2020-11, Vol.1651 (1), p.12031 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2020. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1651/1/012031 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	Fake News Detection from Online media using Machine learning Classifiers Journal of physics. Conference series, 2022-01, Vol.2161 (1), p.12027 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2161/1/012027 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Article	Brain Disorders Identification by Machine Learning Classifiers Journal of physics. Conference series, 2023-03, Vol.2466 (1), p.12036 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2466/1/012036 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Prediction of Lung Cancer using Ensemble Classifiers Journal of physics. Conference series, 2022-01, Vol.2161 (1), p.12007 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2161/1/012007 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Article	Boosting the performance of anomalous diffusion classifiers with the proper choice of features Journal of physics. A, Mathematical and theoretical, 2022-06, Vol.55 (24) [Peer Reviewed Journal] 2022 The Author(s). Published by IOP Publishing Ltd ;ISSN: 1751-8113 ;EISSN: 1751-8121 ;DOI: 10.1088/1751-8121/ac6d2a ;CODEN: JPHAC5 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	A comparison of probabilistic classifiers for sleep stage classification Physiological measurement, 2018-05, Vol.39 (5) [Peer Reviewed Journal] 2018 Institute of Physics and Engineering in Medicine ;ISSN: 0967-3334 ;EISSN: 1361-6579 ;DOI: 10.1088/1361-6579/aabbc2 ;CODEN: PMEAE3 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments The Astrophysical journal, 2023-06, Vol.950 (1), p.49 [Peer Reviewed Journal] 2023. The Author(s). Published by the American Astronomical Society. ;2023. The Author(s). Published by the American Astronomical Society. 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: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/accc88 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	GWSkyNet-Multi: A Machine-learning Multiclass Classifier for LIGO–Virgo Public Alerts The Astrophysical journal, 2022-03, Vol.927 (2), p.232 [Peer Reviewed Journal] 2022. The Author(s). Published by the American Astronomical Society. ;2022. The Author(s). Published by the American Astronomical Society. 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: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ac5019 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Multiplicity Boost of Transit Signal Classifiers: Validation of 69 New Exoplanets using the Multiplicity Boost of ExoMiner The Astronomical journal, 2023-07, Vol.166 (1), p.28 [Peer Reviewed Journal] 2023. The Author(s). Published by the American Astronomical Society. ;2023. The Author(s). Published by the American Astronomical Society. 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: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/acd344 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	Variational quantum one-class classifier Machine learning: science and technology, 2023-03, Vol.4 (1), p.15006 [Peer Reviewed Journal] 2023 The Author(s). Published by IOP Publishing Ltd ;2023 The Author(s). Published by IOP Publishing Ltd. 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: 2632-2153 ;EISSN: 2632-2153 ;DOI: 10.1088/2632-2153/acafd5 ;CODEN: MLSTCK Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New Exoplanets The Astrophysical journal, 2022-02, Vol.926 (2), p.120 [Peer Reviewed Journal] 2022. The Author(s). Published by the American Astronomical Society. ;2022. The Author(s). Published by the American Astronomical Society. 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: 0004-637X ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ac4399 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Naïve Bayes Classifier Models for Predicting the Colon Cancer IOP conference series. Materials Science and Engineering, 2019-06, Vol.546 (5), p.52068 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2019. This work is published 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. ;ISSN: 1757-8981 ;EISSN: 1757-899X ;DOI: 10.1088/1757-899X/546/5/052068 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Predicting Heart Diseases through Feature Selection and Ensemble Classifiers Journal of physics. Conference series, 2022-05, Vol.2273 (1), p.12027 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2273/1/012027 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Vehicle Type Classification using Hierarchical Classifiers Journal of physics. Conference series, 2018-08, Vol.1069 (1), p.12099 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2018. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1069/1/012099 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	The two-stage classification based on 1-SVM and RF classifiers Journal of physics. Conference series, 2021-01, Vol.1727 (1), p.12007 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2021. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1727/1/012007 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Comparison of classifiers for different data in application of classification Journal of physics. Conference series, 2021-08, Vol.1994 (1), p.12015 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2021. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1994/1/012015 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	An improved LogNNet classifier for IoT applications Journal of physics. Conference series, 2021-11, Vol.2094 (3), p.32015 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2094/3/032015 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Prediction on Cardiovascular disease using Decision tree and Naïve Bayes classifiers Journal of physics. Conference series, 2022-01, Vol.2161 (1), p.12015 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;Published under licence by IOP Publishing Ltd. This work is published 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. ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2161/1/012015 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Performance analysis of different classifiers in segmenting point cloud data Journal of physics. Conference series, 2021-11, Vol.2107 (1), p.12003 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;ISSN: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/2107/1/012003 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Universal adversarial perturbations for multiple classification tasks with quantum classifiers Machine learning: science and technology, 2023-12, Vol.4 (4), p.45009 [Peer Reviewed Journal] 2023 The Author(s). Published by IOP Publishing Ltd ;2023 The Author(s). Published by IOP Publishing Ltd. 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: 2632-2153 ;EISSN: 2632-2153 ;DOI: 10.1088/2632-2153/acffa3 ;CODEN: MLSTCK Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by