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1	Material Type: Article	Deep learning for time series classification: a review Data mining and knowledge discovery, 2019-07, Vol.33 (4), p.917-963 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2019 ;Data Mining and Knowledge Discovery is a copyright of Springer, (2019). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-019-00619-1 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
2	Material Type: Article	A community resource for paired genomic and metabolomic data mining Nature chemical biology, 2021-04, Vol.17 (4), p.363-368 [Peer Reviewed Journal] 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. ;Attribution ;The Author(s) 2021 ;ISSN: 1552-4450 ;EISSN: 1552-4469 ;DOI: 10.1038/s41589-020-00724-z ;PMID: 33589842 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
3	Material Type: Book	Data and Applications Security and Privacy XXXV: 35th Annual IFIP WG 11.3 Conference, DBSec 2021, Calgary, Canada, July 19–20, 2021, Proceedings Attribution ;ISBN: 9783030812416 ;ISBN: 3030812413 ;DOI: 10.1007/978-3-030-81242-3 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
4	Material Type: Article	Tslearn, A Machine Learning Toolkit for Time Series Data Journal of machine learning research, 2020-01, Vol.21, p.1-6 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
5	Material Type: Book	Data-Driven Process Discovery and Analysis: 8th IFIP WG 2.6 International Symposium, SIMPDA 2018, Seville, Spain, December 13–14, 2018, and 9th International Symposium, SIMPDA 2019, Bled, Slovenia, September 8, 2019, Revised Selected Papers Attribution ;ISBN: 9783030466329 ;ISBN: 3030466329 ;DOI: 10.1007/978-3-030-46633-6 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
6	Material Type: Article	Maximum likelihood estimation from Uncertain Data in the Belief Function Framework IEEE transactions on knowledge and data engineering, 2013, Vol.25 (1), p.119-130 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1041-4347 ;EISSN: 1558-2191 ;DOI: 10.1109/TKDE.2011.201 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
7	Material Type: Article	InceptionTime: Finding AlexNet for time series classification Data mining and knowledge discovery, 2020-11, Vol.34 (6), p.1936-1962 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00710-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
8	Material Type: Article	From genomics to metabolomics, moving toward an integrated strategy for the discovery of fungal secondary metabolites Natural product reports, 2018-01, Vol.35 (2), p.147-173 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0265-0568 ;EISSN: 1460-4752 ;DOI: 10.1039/c7np00032d ;PMID: 29384544 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
9	Material Type: Article	Optimizing dynamic time warping’s window width for time series data mining applications Data mining and knowledge discovery, 2018-07, Vol.32 (4), p.1074-1120 [Peer Reviewed Journal] The Author(s) 2018 ;Data Mining and Knowledge Discovery is a copyright of Springer, (2018). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-018-0565-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
10	Material Type: Article	iEcology: Harnessing Large Online Resources to Generate Ecological Insights Trends in ecology & evolution (Amsterdam), 2020-07, Vol.35, p.630-639 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0169-5347 ;EISSN: 1872-8383 ;DOI: 10.1016/j.tree.2020.03.003 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
11	Material Type: Article	Robots that can adapt like animals Nature (London), 2015-05, Vol.521 (7553), p.503-507 [Peer Reviewed Journal] COPYRIGHT 2015 Nature Publishing Group ;COPYRIGHT 2015 Nature Publishing Group ;Copyright Nature Publishing Group May 28, 2015 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature14422 ;PMID: 26017452 ;CODEN: NATUAS Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
12	Material Type: Article	End-to-end deep representation learning for time series clustering: a comparative study Data mining and knowledge discovery, 2022-01, Vol.36 (1), p.29-81 [Peer Reviewed Journal] The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2021. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-021-00796-y Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
13	Material Type: Article	COVID19 Disease Map, a computational knowledge repository of virus–host interaction mechanisms Molecular systems biology, 2021-10, Vol.17 (10), p.e10387-n/a [Peer Reviewed Journal] 2021 The Authors. Published under the terms of the CC BY 4.0 license ;2021 The Authors. Published under the terms of the CC BY 4.0 license. ;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. ;Attribution ;ISSN: 1744-4292 ;EISSN: 1744-4292 ;DOI: 10.15252/msb.202110387 ;PMID: 34664389 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
14	Material Type: Article	Estimating spatial and temporal variation in ocean surface pCO2 in the Gulf of Mexico using remote sensing and machine learning techniques The Science of the total environment, 2020-11, Vol.745 [Peer Reviewed Journal] Attribution ;ISSN: 0048-9697 ;EISSN: 1879-1026 ;DOI: 10.1016/j.scitotenv.2020.140965 ;PMID: 32758741 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
15	Material Type: Article	Faster and more accurate classification of time series by exploiting a novel dynamic time warping averaging algorithm Knowledge and information systems, 2016-04, Vol.47 (1), p.1-26 [Peer Reviewed Journal] Springer-Verlag London (outside the USA) 2015 ;Springer-Verlag London 2016 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0219-1377 ;EISSN: 0219-3116 ;DOI: 10.1007/s10115-015-0878-8 ;CODEN: KISNCR Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
16	Material Type: Article	An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images IEEE transactions on information forensics and security, 2018-07, Vol.13 (7), p.1670-1681 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1556-6013 ;EISSN: 1556-6021 ;DOI: 10.1109/TIFS.2018.2799381 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
17	Material Type: Article	Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey IEEE Communications surveys and tutorials, 2019-01, Vol.21 (2), p.1988-2014 [Peer Reviewed Journal] Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1553-877X ;EISSN: 1553-877X ;DOI: 10.1109/COMST.2018.2883147 Digital Resources/Online E-Resources View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
18	Material Type: Article	A novel adaptable approach for sentiment analysis on big social data International Journal of Big Data, 2018-03, Vol.5 (1), p.1-18, Article 12 [Peer Reviewed Journal] The Author(s) 2018 ;Journal of Big Data is a copyright of Springer, (2018). All Rights Reserved. © 2018. 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. ;Attribution ;ISSN: 2196-1115 ;ISSN: 2326-442X ;EISSN: 2196-1115 ;DOI: 10.1186/s40537-018-0120-0 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
19	Material Type: Article	Omnicrobe, an open-access database of microbial habitats and phenotypes using a comprehensive text mining and data fusion approach PloS one, 2023-01, Vol.18 (1), p.e0272473-e0272473 [Peer Reviewed Journal] Copyright: © 2023 Dérozier et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2023 Public Library of Science ;2023 Dérozier et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Attribution ;2023 Dérozier et al 2023 Dérozier et al ;2023 Dérozier et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0272473 ;PMID: 36662691 Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by
20	Material Type: Article	Top-k overlapping densest subgraphs Data mining and knowledge discovery, 2016-09, Vol.30 (5), p.1134-1165 [Peer Reviewed Journal] The Author(s) 2016 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-016-0464-z Full text available View Online Details Recommendations Reviews Times Cited External Links Citations Cited by

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Results 1 - 20 of 1,569 for All Library Resources

Attribution ;ISBN: 9783030812416 ;ISBN: 3030812413 ;DOI: 10.1007/978-3-030-81242-3

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1532-4435 ;EISSN: 1533-7928

Attribution ;ISBN: 9783030466329 ;ISBN: 3030466329 ;DOI: 10.1007/978-3-030-46633-6

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1041-4347 ;EISSN: 1558-2191 ;DOI: 10.1109/TKDE.2011.201

The Author(s), under exclusive licence to Springer Science+Business Media LLC, part of Springer Nature 2020 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-020-00710-y

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0265-0568 ;EISSN: 1460-4752 ;DOI: 10.1039/c7np00032d ;PMID: 29384544

The Author(s) 2018 ;Data Mining and Knowledge Discovery is a copyright of Springer, (2018). All Rights Reserved. ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-018-0565-y

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0169-5347 ;EISSN: 1872-8383 ;DOI: 10.1016/j.tree.2020.03.003

COPYRIGHT 2015 Nature Publishing Group ;COPYRIGHT 2015 Nature Publishing Group ;Copyright Nature Publishing Group May 28, 2015 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0028-0836 ;EISSN: 1476-4687 ;DOI: 10.1038/nature14422 ;PMID: 26017452 ;CODEN: NATUAS

Attribution ;ISSN: 0048-9697 ;EISSN: 1879-1026 ;DOI: 10.1016/j.scitotenv.2020.140965 ;PMID: 32758741

Springer-Verlag London (outside the USA) 2015 ;Springer-Verlag London 2016 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 0219-1377 ;EISSN: 0219-3116 ;DOI: 10.1007/s10115-015-0878-8 ;CODEN: KISNCR

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1556-6013 ;EISSN: 1556-6021 ;DOI: 10.1109/TIFS.2018.2799381

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1553-877X ;EISSN: 1553-877X ;DOI: 10.1109/COMST.2018.2883147

The Author(s) 2016 ;Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1384-5810 ;EISSN: 1573-756X ;DOI: 10.1007/s10618-016-0464-z

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