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Material Type: Article
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Combination of classifiers with optimal weight based on evidential reasoningIEEE transactions on fuzzy systems, 2018-06, Vol.26 (3) [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1063-6706 ;EISSN: 1941-0034 ;DOI: 10.1109/TFUZZ.2017.2718483Digital Resources/Online E-Resources |
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2 |
Material Type: Article
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Tracking Sparse Linear ClassifiersIEEE transaction on neural networks and learning systems, 2019-07, Vol.30 (7), p.2079-2092Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2162-237X ;EISSN: 2162-2388 ;DOI: 10.1109/TNNLS.2018.2877433Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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Galois theory for analogical classifiersAnnals of mathematics and artificial intelligence, 2024-01 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1012-2443 ;EISSN: 1573-7470 ;DOI: 10.1007/s10472-023-09833-6Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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Decision tree classifiers for evidential attribute values and class labelsFuzzy sets and systems, 2019-07, Vol.366, p.46-62 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0165-0114 ;EISSN: 1872-6801 ;DOI: 10.1016/j.fss.2018.11.006Digital Resources/Online E-Resources |
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5 |
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 |
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6 |
Material Type: Article
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SPOCC: Scalable POssibilistic Classifier Combination - toward robust aggregation of classifiersExpert systems with applications, 2020-07, Vol.150 [Peer Reviewed Journal]Attribution - NonCommercial ;ISSN: 0957-4174 ;EISSN: 1873-6793 ;DOI: 10.1016/j.eswa.2020.113332Digital Resources/Online E-Resources |
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7 |
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 |
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8 |
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 |
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9 |
Material Type: Conference Proceeding
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Rectifying Binary ClassifiersAttribution - NonCommercial - NoDerivatives ;DOI: 10.3233/FAIA230307Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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Quaternion softmax classifierElectronics letters, 2014-12, Vol.50 (25), p.1929-1930 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0013-5194 ;EISSN: 1350-911X ;DOI: 10.1049/el.2014.2526Digital Resources/Online E-Resources |
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11 |
Material Type: Article
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Explaining black-box classifiers: Properties and functionsInternational journal of approximate reasoning, 2023-04, Vol.155 : special issue SI: Extended papers from the Sixteenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2021), p.40-65 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0888-613X ;EISSN: 1873-4731 ;DOI: 10.1016/j.ijar.2023.01.004Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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Graph-Assisted Bayesian Node ClassifiersIEEE access, 2023-01, Vol.11, p.23989-24002 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3242866 ;CODEN: IAECCGFull text available |
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13 |
Material Type: Article
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On the robustness of randomized classifiers to adversarial examplesMachine learning, 2022-09, Vol.111 (9), p.3425-3457 [Peer Reviewed Journal]The Author(s) 2022 ;The Author(s) 2022. 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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06216-6Full text available |
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14 |
Material Type: Article
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THE ROLE OF MUTUAL INFORMATION IN VARIATIONAL CLASSIFIERSMachine learning, 2023-09 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06337-6Digital Resources/Online E-Resources |
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15 |
Material Type: Article
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Sentinel-1 InSAR Coherence for Land Cover Mapping: A Comparison of Multiple Feature-Based ClassifiersIEEE journal of selected topics in applied earth observations and remote sensing, 2020, Vol.13, p.535-552 [Peer Reviewed Journal]Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1939-1404 ;ISSN: 2151-1535 ;EISSN: 2151-1535 ;DOI: 10.1109/JSTARS.2019.2958847 ;CODEN: IJSTHZFull text available |
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16 |
Material Type: Article
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Probing machine-learning classifiers using noise, bubbles, and reverse correlationJournal of neuroscience methods, 2021-10, Vol.362 (109297) [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0165-0270 ;EISSN: 1872-678X ;DOI: 10.1016/j.jneumeth.2021.109297Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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Spline-rule ensemble classifiers with structured sparsity regularization for interpretable customer churn modelingDecision Support Systems, 2021-11, Vol.150 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0167-9236 ;DOI: 10.1016/j.dss.2021.113523Digital Resources/Online E-Resources |
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18 |
Material Type: Article
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VirSorter2: a multi-classifier, expert-guided approach to detect diverse DNA and RNA virusesMicrobiome, 2021-02, Vol.9 (1), p.37-37, Article 37 [Peer Reviewed Journal]2021. 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. ;Distributed under a Creative Commons Attribution 4.0 International License ;The Author(s) 2021 ;ISSN: 2049-2618 ;EISSN: 2049-2618 ;DOI: 10.1186/s40168-020-00990-y ;PMID: 33522966Full text available |
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19 |
Material Type: Article
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CASCARO: Cascade of classifiers for minimizing the cost of predictionPattern recognition letters, 2021-09, Vol.149, p.37-43 [Peer Reviewed Journal]Attribution - NonCommercial ;ISSN: 0167-8655 ;EISSN: 1872-7344 ;DOI: 10.1016/j.patrec.2021.06.010Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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Defining numeral classifiers and identifying classifier languages of the worldLinguistics vanguard : multimodal online journal, 2022-12, Vol.8 (1), p.151 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 2199-174X ;EISSN: 2199-174X ;DOI: 10.1515/lingvan-2022-0006Digital Resources/Online E-Resources |