{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T10:12:40Z","timestamp":1730283160463,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T00:00:00Z","timestamp":1694908800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,17]],"date-time":"2023-09-17T00:00:00Z","timestamp":1694908800000},"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":[[2023,9,17]]},"DOI":"10.1109\/mlsp55844.2023.10285973","type":"proceedings-article","created":{"date-parts":[[2023,10,23]],"date-time":"2023-10-23T17:55:41Z","timestamp":1698083741000},"page":"1-6","source":"Crossref","is-referenced-by-count":2,"title":["Raster: Representation Learning for Time Series Classification using Scatter Score and Randomized Threshold Exceedance Rate"],"prefix":"10.1109","author":[{"given":"Alireza","family":"Keshavarzian","sequence":"first","affiliation":[{"name":"University of Toronto,Department of Electrical & Computer Engineering,Toronto,ON,Canada"}]},{"given":"Shahrokh","family":"Valaee","sequence":"additional","affiliation":[{"name":"University of Toronto,Department of Electrical & Computer Engineering,Toronto,ON,Canada"}]}],"member":"263","reference":[{"journal-title":"The UCR time series classification archive","year":"2015","author":"chen","key":"ref13"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2307\/2684568"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.08.023"},{"key":"ref11","first-page":"131","article-title":"Regularized least-squares classification","volume":"190","author":"rifkin","year":"2003","journal-title":"Nato Science Series Sub Series III Computer and Systems Sciences"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1002\/rsa.20768"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2021\/324"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-016-0483-9"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3097011"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467231"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP49357.2023.10094305"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00710-y"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-020-00701-z"},{"key":"ref5","article-title":"Weighted sums of random kitchen sinks: Replacing minimization with randomization in learning","volume":"21","author":"rahimi","year":"2008","journal-title":"Advances in neural information processing systems"}],"event":{"name":"2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)","start":{"date-parts":[[2023,9,17]]},"location":"Rome, Italy","end":{"date-parts":[[2023,9,20]]}},"container-title":["2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10285838\/10285858\/10285973.pdf?arnumber=10285973","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,13]],"date-time":"2023-11-13T19:03:32Z","timestamp":1699902212000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10285973\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,17]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/mlsp55844.2023.10285973","relation":{},"subject":[],"published":{"date-parts":[[2023,9,17]]}}}