{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T20:05:03Z","timestamp":1725566703080},"reference-count":0,"publisher":"SCITEPRESS - Science and Technology Publications","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2020]]},"DOI":"10.5220\/0010109700710080","type":"proceedings-article","created":{"date-parts":[[2020,11,11]],"date-time":"2020-11-11T03:04:31Z","timestamp":1605063871000},"page":"71-80","source":"Crossref","is-referenced-by-count":1,"title":["Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes"],"prefix":"10.5220","author":[{"given":"Fabian","family":"Berns","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of M\u00fcnster, Germany, --- Select a Country ---"}]},{"given":"Christian","family":"Beecks","sequence":"first","affiliation":[{"name":"Department of Computer Science, University of M\u00fcnster, Germany, --- Select a Country ---"},{"name":"Fraunhofer Institute for Applied Information Technology FIT, Sankt Augustin, Germany, --- Select a Country ---"}]}],"member":"3171","event":{"name":"12th International Conference on Knowledge Discovery and Information Retrieval","start":{"date-parts":[[2020,11,2]]},"location":"Budapest, Hungary","end":{"date-parts":[[2020,11,4]]}},"container-title":["Proceedings of the 12th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management"],"original-title":["Large-scale Retrieval of Bayesian Machine Learning Models for Time Series Data via Gaussian Processes"],"deposited":{"date-parts":[[2020,11,12]],"date-time":"2020-11-12T04:55:26Z","timestamp":1605156926000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.scitepress.org\/DigitalLibrary\/Link.aspx?doi=10.5220\/0010109700710080"}},"subtitle":[""],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":0,"URL":"https:\/\/doi.org\/10.5220\/0010109700710080","relation":{},"subject":[],"published":{"date-parts":[[2020]]}}}