Language:

Results 1 - 20 of 2,087 for All Library Resources

Sorted by: Sorted by: RelevanceOr hit Enter to replace sort method

Results 1 2 3 4 5

Refined by: Database: IOPscience (Open Access)

subject: Science & Technology

Result Number	Material Type	Record Details and Options
1	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
2	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
3	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
4	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
5	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
6	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
7	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
8	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
9	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
10	Material Type: Article	An end-to-end trainable hybrid classical-quantum classifier Machine learning: science and technology, 2021-12, Vol.2 (4), p.45021 [Peer Reviewed Journal] 2021 The Author(s). Published by IOP Publishing Ltd ;2021. 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/ac104d ;CODEN: MLSTCK Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Ensemble of classifiers for ontology enrichment Journal of physics. Conference series, 2018-05, Vol.1015 (3), p.32123 [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: 10.1088/1742-6596/1015/3/032123 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	Comparison of Classifiers for EMG based Speech Recognition Journal of physics. Conference series, 2020-01, Vol.1438 (1), p.12032 [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: 10.1088/1742-6596/1438/1/012032 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	Sentiment analysis on hotel reviews using Multinomial Naïve Bayes classifier Journal of physics. Conference series, 2019-03, Vol.1192 (1), p.12024 [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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1192/1/012024 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Comparisons and Selections of Features and Classifiers for Short Text Classification IOP conference series. Materials Science and Engineering, 2017-10, Vol.261 (1), p.12018 [Peer Reviewed Journal] Published under licence by IOP Publishing Ltd ;2017. 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/261/1/012018 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Key Signatures of Prominence Materials and Category of Cold Materials Identified by Random Forest Classifier The Astrophysical journal. Supplement series, 2023-09, Vol.268 (1), p.25 [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: 0067-0049 ;EISSN: 1538-4365 ;DOI: 10.3847/1538-4365/ace447 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	Feature Selection using Random Forest Classifier for Predicting Prostate Cancer IOP conference series. Materials Science and Engineering, 2019-06, Vol.546 (5), p.52031 [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/546/5/052031 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Spam Filter Based on Naive Bayesian Classifier Journal of physics. Conference series, 2020-06, Vol.1575 (1), p.12054 [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: 10.1088/1742-6596/1575/1/012054 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	Categorical representation learning and RG flow operators for algorithmic classifiers Machine learning: science and technology, 2023-03, Vol.4 (1), p.15012 [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/acb488 ;CODEN: MLSTCK Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits Journal of physics. G, Nuclear and particle physics, 2021-12, Vol.48 (12), p.125003 [Peer Reviewed Journal] 2021 IOP Publishing Ltd ;ISSN: 0954-3899 ;EISSN: 1361-6471 ;DOI: 10.1088/1361-6471/ac1391 ;CODEN: JPGPED Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Use of Naïve Bayes classifier algorithm to detect customers' interests in buying internet token Journal of physics. Conference series, 2019-12, Vol.1402 (6), p.66069 [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: 1742-6588 ;EISSN: 1742-6596 ;DOI: 10.1088/1742-6596/1402/6/066069 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by