Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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21 |
Material Type: Article
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Temporal pattern attention for multivariate time series forecastingMachine learning, 2019-09, Vol.108 (8-9), p.1421-1441 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05815-0Full text available |
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22 |
Material Type: Article
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Optimal classification treesMachine learning, 2017-07, Vol.106 (7), p.1039-1082 [Peer Reviewed Journal]The Author(s) 2017 ;Machine Learning is a copyright of Springer, 2017. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-017-5633-9Full text available |
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23 |
Material Type: Article
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Utilising energy function and variational inference training for learning a graph neural network architectureMachine learning, 2024-03, Vol.113 (3), p.1219-1241 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-024-06513-2Digital Resources/Online E-Resources |
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24 |
Material Type: Article
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Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?Machine learning, 2024, Vol.113 (7), p.4285-4314 [Peer Reviewed Journal]The Author(s) 2024 ;The Author(s) 2024. 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06506-7Digital Resources/Online E-Resources |
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25 |
Material Type: Article
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Exposing and explaining fake news on-the-flyMachine learning, 2024, Vol.113 (7), p.4615-4637 [Peer Reviewed Journal]The Author(s) 2024 ;The Author(s) 2024. 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-024-06527-wDigital Resources/Online E-Resources |
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26 |
Material Type: Article
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An effective negative sampling approach for contrastive learning of sentence embeddingMachine learning, 2023-12, Vol.112 (12), p.4837-4861 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06408-8Digital Resources/Online E-Resources |
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27 |
Material Type: Article
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A survey on deep reinforcement learning for audio-based applicationsThe Artificial intelligence review, 2023-03, Vol.56 (3), p.2193-2240 [Peer Reviewed Journal]The Author(s) 2022 ;COPYRIGHT 2023 Springer ;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. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-022-10224-2Full text available |
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28 |
Material Type: Article
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Kappa Updated Ensemble for drifting data stream miningMachine learning, 2020, Vol.109 (1), p.175-218 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Machine Learning is a copyright of Springer, (2019). All Rights Reserved. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-019-05840-zFull text available |
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29 |
Material Type: Article
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A3T: accuracy aware adversarial trainingMachine learning, 2023-09, Vol.112 (9), p.3191-3210 [Peer Reviewed Journal]The Author(s) 2023 ;The Author(s) 2023. 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06341-wDigital Resources/Online E-Resources |
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30 |
Material Type: Article
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Attacking neural machine translations via hybrid attention learningMachine learning, 2022-11, Vol.111 (11), p.3977-4002 [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. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06249-xFull text available |
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31 |
Material Type: Article
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Loda: Lightweight on-line detector of anomaliesMachine learning, 2016-02, Vol.102 (2), p.275-304 [Peer Reviewed Journal]The Author(s) 2015 ;The Author(s) 2016 ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-015-5521-0Full text available |
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32 |
Material Type: Article
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Large language models for chemistry roboticsAutonomous robots, 2023-12, Vol.47 (8), p.1057-1086 [Peer Reviewed Journal]The Author(s) 2023 ;The Author(s) 2023. 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: 0929-5593 ;EISSN: 1573-7527 ;DOI: 10.1007/s10514-023-10136-2Digital Resources/Online E-Resources |
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33 |
Material Type: Article
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Automotive fault nowcasting with machine learning and natural language processingMachine learning, 2024-02, Vol.113 (2), p.843-861 [Peer Reviewed Journal]The Author(s) 2023 ;The Author(s) 2023. 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: 0885-6125 ;ISSN: 1573-0565 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-023-06398-7Digital Resources/Online E-Resources |
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34 |
Material Type: Article
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A deep learning approach using natural language processing and time-series forecasting towards enhanced food safetyMachine learning, 2023-04, Vol.112 (4), p.1287-1313 [Peer Reviewed Journal]The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2022 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2022. ;ISSN: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-022-06151-6Full text available |
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35 |
Material Type: Article
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HIVE-COTE 2.0: a new meta ensemble for time series classificationMachine learning, 2021-12, Vol.110 (11-12), p.3211-3243 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06057-9Full text available |
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36 |
Material Type: Article
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F: an interpretable transformation of the F-measureMachine learning, 2021-03, Vol.110 (3), p.451-456 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 2021. ;The Author(s) 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-05964-1 ;PMID: 33746357Full text available |
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37 |
Material Type: Article
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Discovering critical KPI factors from natural language in maintenance work ordersJournal of intelligent manufacturing, 2022-08, Vol.33 (6), p.1859-1877 [Peer Reviewed Journal]This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021 ;This is a U.S. government work and not under copyright protection in the U.S.; foreign copyright protection may apply 2021. ;ISSN: 0956-5515 ;EISSN: 1572-8145 ;DOI: 10.1007/s10845-021-01772-5Full text available |
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38 |
Material Type: Article
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Deep understanding of everyday activity commands for household robotsSemantic Web, 2022-01, Vol.13 (5), p.895-909 [Peer Reviewed Journal]Copyright IOS Press BV 2022 ;ISSN: 1570-0844 ;ISSN: 2210-4968 ;EISSN: 2210-4968 ;DOI: 10.3233/SW-222973Full text available |
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39 |
Material Type: Article
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Recovering from failure by asking for helpAutonomous robots, 2015-10, Vol.39 (3), p.347-362 [Peer Reviewed Journal]Springer Science+Business Media New York 2015 ;Autonomous Robots is a copyright of Springer, (2015). All Rights Reserved. ;ISSN: 0929-5593 ;EISSN: 1573-7527 ;DOI: 10.1007/s10514-015-9460-1Full text available |
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40 |
Material Type: Article
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Bayesian optimization with safety constraints: safe and automatic parameter tuning in roboticsMachine learning, 2023-10, Vol.112 (10), p.3713-3747 [Peer Reviewed Journal]The Author(s) 2021 ;The Author(s) 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: 0885-6125 ;EISSN: 1573-0565 ;DOI: 10.1007/s10994-021-06019-1Digital Resources/Online E-Resources |