{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T19:23:05Z","timestamp":1775071385627,"version":"3.50.1"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T00:00:00Z","timestamp":1617235200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4]]},"DOI":"10.1109\/vtc2021-spring51267.2021.9448812","type":"proceedings-article","created":{"date-parts":[[2021,6,15]],"date-time":"2021-06-15T20:27:03Z","timestamp":1623788823000},"page":"1-7","source":"Crossref","is-referenced-by-count":8,"title":["Propagation-aware Gaussian Process Regression for Signal-Strength Interpolation along Street Canyons"],"prefix":"10.1109","author":[{"given":"Lukas","family":"Eller","sequence":"first","affiliation":[{"name":"TU-Wien,Institute of Telecommunications,Vienna,Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philipp","family":"Svoboda","sequence":"additional","affiliation":[{"name":"TU-Wien,Institute of Telecommunications,Vienna,Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Markus","family":"Rupp","sequence":"additional","affiliation":[{"name":"TU-Wien,Institute of Telecommunications,Vienna,Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/MCI.2017.2773824"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3308558.3313726"},{"key":"ref12","doi-asserted-by":"crossref","DOI":"10.1109\/GLOBECOM42002.2020.9322089","article-title":"Deep learning-based signal strength prediction using geographical images and expert knowledge","author":"thrane","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/WCNC.2018.8377405"},{"key":"ref14","volume":"2","author":"williams","year":"2006","journal-title":"Gaussian Processes for Machine Learning"},{"key":"ref15","author":"bishop","year":"2006","journal-title":"Pattern Recognition and Machine Learning"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM.2015.7218450"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1142\/SMPAI"},{"key":"ref18","first-page":"1723","article-title":"Kernels and learning curves for gaussian process regression on random graphs","author":"sollich","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref19","first-page":"2825","article-title":"Scikit-learn: Machine learning in Python","volume":"12","author":"pedregosa","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2949051"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/VTCFall.2019.8891111"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2014.2328154"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/EuCAP.2016.7481421"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ITST.2013.6685545"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2749570"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2017.2694140"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2956211"},{"key":"ref9","first-page":"315","article-title":"Diffusion kernels on graphs and other discrete structures","volume":"2002","author":"kondor","year":"2002","journal-title":"Proceedings of the 19th International Conference on Machine Learning"},{"key":"ref20","first-page":"115","article-title":"Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures","author":"bergstra","year":"2013","journal-title":"International Conference on Machine Learning"}],"event":{"name":"2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)","location":"Helsinki, Finland","start":{"date-parts":[[2021,4,25]]},"end":{"date-parts":[[2021,4,28]]}},"container-title":["2021 IEEE 93rd Vehicular Technology Conference (VTC2021-Spring)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9448628\/9448629\/09448812.pdf?arnumber=9448812","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,31]],"date-time":"2022-12-31T07:01:10Z","timestamp":1672470070000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9448812\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/vtc2021-spring51267.2021.9448812","relation":{},"subject":[],"published":{"date-parts":[[2021,4]]}}}