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Material Type: Article
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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 |
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Material Type: Article
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KNN-SVM Classifiers in Complex DiagnosisJournal of physics. Conference series, 2024-01, Vol.2694 (1), p.12081 [Peer Reviewed Journal]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: 10.1088/1742-6596/2694/1/012081Full text available |
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Material Type: Article
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Machine-learning Classifiers for Intermediate Redshift Emission-line GalaxiesThe Astrophysical journal, 2019-09, Vol.883 (1), p.63 [Peer Reviewed Journal]2019. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Sep 20, 2019 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0004-637X ;ISSN: 1538-4357 ;EISSN: 1538-4357 ;DOI: 10.3847/1538-4357/ab397eFull text available |
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Material Type: Article
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Decision Boundary Extraction of ClassifiersJournal 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: 10.1088/1742-6596/1651/1/012031Full text available |
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5 |
Material Type: Article
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Fake News Detection from Online media using Machine learning ClassifiersJournal 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: 10.1088/1742-6596/2161/1/012027Full text available |
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Material Type: Article
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Brain Disorders Identification by Machine Learning ClassifiersJournal 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: 10.1088/1742-6596/2466/1/012036Full text available |
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Material Type: Article
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Prediction of Lung Cancer using Ensemble ClassifiersJournal 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: 10.1088/1742-6596/2161/1/012007Full text available |
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8 |
Material Type: Article
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An Analytical Appraisal for Supervised Classifiers’ Performance on Facial Expression Recognition Based on Relief-F Feature SelectionJournal of physics. Conference series, 2021-02, Vol.1804 (1), p.12055 [Peer Reviewed Journal]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: 10.1088/1742-6596/1804/1/012055Full text available |
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9 |
Material Type: Article
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Boosting the performance of anomalous diffusion classifiers with the proper choice of featuresJournal 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: JPHAC5Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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A comparison of probabilistic classifiers for sleep stage classificationPhysiological 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: PMEAE3Digital Resources/Online E-Resources |
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11 |
Material Type: Article
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Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin AssignmentsThe 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/accc88Full text available |
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12 |
Material Type: Article
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GWSkyNet-Multi: A Machine-learning Multiclass Classifier for LIGO–Virgo Public AlertsThe 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/ac5019Full text available |
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13 |
Material Type: Article
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Short-term Classification of Strong Solar Energetic Particle Events Using Multivariate Time-series ClassifiersThe Astrophysical journal, 2024-05, Vol.966 (2), p.165 [Peer Reviewed Journal]2024. 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/ad374eFull text available |
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14 |
Material Type: Article
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Alert Classification for the ALeRCE Broker System: The Real-time Stamp ClassifierThe Astronomical journal, 2021-12, Vol.162 (6), p.231 [Peer Reviewed Journal]2021. The American Astronomical Society. All rights reserved. ;Copyright IOP Publishing Dec 2021 ;ISSN: 0004-6256 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/ac0ef1Full text available |
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15 |
Material Type: Article
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Alert Classification for the ALeRCE Broker System: The Light Curve ClassifierThe Astronomical journal, 2021-03, Vol.161 (3), p.141 [Peer Reviewed Journal]Copyright IOP Publishing Mar 2021 ;ISSN: 0004-6256 ;ISSN: 1538-3881 ;EISSN: 1538-3881 ;DOI: 10.3847/1538-3881/abd5c1Full text available |
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16 |
Material Type: Article
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tdescore: An Accurate Photometric Classifier for Tidal Disruption EventsAstrophysical journal. Letters, 2024-04, Vol.965 (2), p.L14 [Peer Reviewed Journal]2024. 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: 2041-8213 ;ISSN: 2041-8205 ;EISSN: 2041-8213 ;DOI: 10.3847/2041-8213/ad3337Full text available |
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17 |
Material Type: Article
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Multiplicity Boost of Transit Signal Classifiers: Validation of 69 New Exoplanets using the Multiplicity Boost of ExoMinerThe 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/acd344Full text available |
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18 |
Material Type: Article
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Variational quantum one-class classifierMachine 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: MLSTCKFull text available |
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19 |
Material Type: Article
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ExoMiner: A Highly Accurate and Explainable Deep Learning Classifier That Validates 301 New ExoplanetsThe 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/ac4399Full text available |
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Material Type: Article
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Naïve Bayes Classifier Models for Predicting the Colon CancerIOP 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/546/5/052068Full text available |