Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Article
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The State of the Art in Enhancing Trust in Machine Learning Models with the Use of VisualizationsComputer graphics forum, 2020-06, Vol.39 (3), p.713-756 [Peer Reviewed Journal]Attribution ;ISSN: 0167-7055 ;EISSN: 1467-8659 ;DOI: 10.1111/cgf.14034Digital Resources/Online E-Resources |
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2 |
Material Type: Conference Proceeding
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CC2Vec: Distributed Representations of Code ChangesDistributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1145/3377811.3380361Digital Resources/Online E-Resources |
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3 |
Material Type: Article
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Scalable and Accurate Subsequence TransformPattern recognition, 2023-11, Vol.147, p.1-18 [Peer Reviewed Journal]Attribution - NonCommercial - NoDerivatives ;ISSN: 0031-3203 ;EISSN: 1873-5142 ;DOI: 10.1016/j.patcog.2023.110121Digital Resources/Online E-Resources |
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4 |
Material Type: Article
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On Tail Decay Rate Estimation of Loss Function DistributionsJournal of machine learning research, 2022-12 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928Full text available |
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5 |
Material Type: Article
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A General Framework for the Practical Disintegration of PAC-Bayesian BoundsMachine learning, 2023 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0885-6125 ;EISSN: 1573-0565Full text available |
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6 |
Material Type: Book Chapter
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SVF-Net: Learning Deformable Image Registration Using Shape MatchingDistributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.1007/978-3-319-66182-7_31Digital Resources/Online E-Resources |
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7 |
Material Type: Article
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Toolbox for Multimodal Learn (scikit-multimodallearn)Journal of machine learning research, 2021-12, Vol.23 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928Full text available |
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8 |
Material Type: Book
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Optimization with Sparsity-Inducing PenaltiesFoundations and trends in machine learning, 2012 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000015Digital Resources/Online E-Resources |
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9 |
Material Type: Article
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Estimation of extreme quantiles from heavy-tailed distributions with neural networksStatistics and computing, 2023-10, Vol.34 (12), p.1-35 [Peer Reviewed Journal]Attribution ;ISSN: 0960-3174 ;EISSN: 1573-1375Digital Resources/Online E-Resources |
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10 |
Material Type: Article
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On the Theoretical Equivalence of Several Trade-Off Curves Assessing Statistical ProximityJournal of machine learning research, 2024, Vol.24 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928Full text available |
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11 |
Material Type: Article
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Deep learning in spiking neural networksNeural networks, 2019-03, Vol.111, p.47-63 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0893-6080 ;EISSN: 1879-2782 ;DOI: 10.1016/j.neunet.2018.12.002Digital Resources/Online E-Resources |
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12 |
Material Type: Article
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MDA for random forests: inconsistency, and a practical solution via the Sobol-MDABiometrika, 2022-02, Vol.109 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0006-3444 ;EISSN: 1464-3510Digital Resources/Online E-Resources |
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13 |
Material Type: Article
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On Multi-Armed Bandit Designs for Dose-Finding TrialsJournal of machine learning research, 2021-01 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928Full text available |
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14 |
Material Type: Article
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Best practices in machine learning for chemistryNature chemistry, 2021-06, Vol.13 (6), p.505-508 [Peer Reviewed Journal]Springer Nature Limited 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1755-4330 ;EISSN: 1755-4349 ;DOI: 10.1038/s41557-021-00716-z ;PMID: 34059804Full text available |
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15 |
Material Type: Article
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Advances and Open Problems in Federated LearningFoundations and trends in machine learning, 2021-01, Vol.14 (1-2), p.1-210 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1935-8237 ;EISSN: 1935-8245 ;DOI: 10.1561/2200000083Digital Resources/Online E-Resources |
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16 |
Material Type: Article
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The effect of green energy, global environmental indexes, and stock markets in predicting oil price crashes: Evidence from explainable machine learningJournal of environmental management, 2021-11, Vol.298 [Peer Reviewed Journal]Attribution - NonCommercial ;ISSN: 0301-4797 ;EISSN: 1095-8630 ;DOI: 10.1016/j.jenvman.2021.113511Digital Resources/Online E-Resources |
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17 |
Material Type: Article
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Machine learning: New tool in the boxNature physics, 2017-05, Vol.13 (5), p.420-421 [Peer Reviewed Journal]Copyright Nature Publishing Group May 2017 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1745-2473 ;EISSN: 1745-2481 ;DOI: 10.1038/nphys4053Full text available |
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18 |
Material Type: Conference Proceeding
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The Dangers of Post-hoc Interpretability: Unjustified Counterfactual ExplanationsProceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, {IJCAI-19}, 2019, p.2801-2807 [Peer Reviewed Journal]Distributed under a Creative Commons Attribution 4.0 International License ;DOI: 10.24963/ijcai.2019/388Digital Resources/Online E-Resources |
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19 |
Material Type: Conference Proceeding
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Hybrid Recommender System based on AutoencodersCopyright ;DOI: 10.1145/2988450.2988456Digital Resources/Online E-Resources |
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20 |
Material Type: Article
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Bridging observations, theory and numerical simulation of the ocean using machine learningEnvironmental research letters, 2021-07, Vol.16 (7), p.73008 [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. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1748-9326 ;EISSN: 1748-9326 ;DOI: 10.1088/1748-9326/ac0eb0 ;CODEN: ERLNALFull text available |