{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:55:39Z","timestamp":1761396939601,"version":"3.28.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T00:00:00Z","timestamp":1725408000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000266","name":"EPSRC Centre for Doctoral Training in Distributed Algorithms","doi-asserted-by":"publisher","award":["EP\/S023445\/1"],"award-info":[{"award-number":["EP\/S023445\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,4]]},"DOI":"10.1109\/mfi62651.2024.10705758","type":"proceedings-article","created":{"date-parts":[[2024,10,9]],"date-time":"2024-10-09T17:45:44Z","timestamp":1728495944000},"page":"1-8","source":"Crossref","is-referenced-by-count":1,"title":["A Comparison Between Kalman-MLE and KalmanNet for State Estimation with Unknown Noise Parameters"],"prefix":"10.1109","author":[{"given":"Bettina","family":"Hanlon","sequence":"first","affiliation":[{"name":"University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,U.K,L69 3GJ"}]},{"given":"\u00c1ngel F.","family":"Garc\u00eda-Fern\u00e1ndez","sequence":"additional","affiliation":[{"name":"University of Liverpool,Department of Electrical Engineering and Electronics,Liverpool,U.K,L69 3GJ"}]},{"given":"Bei","family":"Peng","sequence":"additional","affiliation":[{"name":"University of Liverpool,Department of Computer Science,Liverpool,U.K,L69 3GJ"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/9781108917407"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.23919\/ICIF.2018.8455687"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.23919\/FUSION52260.2023.10224154"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1002\/0471221279"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.80600"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7952985"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2003.823141"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/9.250476"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2454485"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.automatica.2022.110374"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2008.2008348"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CCPIS59145.2023.10291733"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2301756"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2730480"},{"issue":"1","key":"ref16","first-page":"15","volume":"11","author":"Kokkala","journal-title":"Sigma-point filtering and smoothing based parameter estimation in nonlinear dynamic systems"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3158588"},{"volume-title":"Fundamentals of Statistical Signal Processing: Estimation Theory","year":"1993","author":"Kay","key":"ref18"},{"volume-title":"Probabilistic Machine Learning: An introduction","year":"2022","author":"Murphy","key":"ref19"},{"volume-title":"Deep learning using rectified linear units (relu)","year":"2019","author":"Agarap","key":"ref20"},{"volume-title":"Empirical evaluation of gated recurrent neural networks on sequence modeling","year":"2014","author":"Chung","key":"ref21"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/5.58337"},{"volume-title":"Automatic differentiation in pytorch","year":"2017","author":"Paszke","key":"ref23"},{"key":"ref24","article-title":"Adam: A method for stochastic optimization","volume-title":"3rd International Conference for Learning Representations, San Diego","author":"Kingma","year":"2015"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.23919\/EUSIPCO55093.2022.9909801"}],"event":{"name":"2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)","start":{"date-parts":[[2024,9,4]]},"location":"Pilsen, Czech Republic","end":{"date-parts":[[2024,9,6]]}},"container-title":["2024 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10705756\/10705757\/10705758.pdf?arnumber=10705758","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,10]],"date-time":"2024-10-10T15:20:52Z","timestamp":1728573652000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10705758\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,4]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/mfi62651.2024.10705758","relation":{},"subject":[],"published":{"date-parts":[[2024,9,4]]}}}