{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T04:34:50Z","timestamp":1776141290948,"version":"3.50.1"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,5,1]],"date-time":"2020-05-01T00:00:00Z","timestamp":1588291200000},"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":[[2020,5]]},"DOI":"10.1109\/icassp40776.2020.9054608","type":"proceedings-article","created":{"date-parts":[[2020,4,9]],"date-time":"2020-04-09T20:21:13Z","timestamp":1586463673000},"page":"3262-3266","source":"Crossref","is-referenced-by-count":0,"title":["Dyna-Bolt: Domain Adaptive Binary Factorization Of Current Waveforms For Energy Disaggregation"],"prefix":"10.1109","author":[{"given":"Bingqing","family":"Chen","sequence":"first","affiliation":[]},{"given":"Jingxiao","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Henning","family":"Lange","sequence":"additional","affiliation":[]},{"given":"Mario","family":"Berges","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3208903.3208945"},{"key":"ref11","article-title":"Non-intrusive load monitoring by voltage-current trajectory enabled transfer learning","author":"liu","year":"2018","journal-title":"IEEE Transactions on Smart Grid"},{"key":"ref12","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref13","article-title":"Learning transferable features with deep adaptation networks","author":"long","year":"2015"},{"key":"ref14","first-page":"207","article-title":"Distance metric learning for large margin nearest neighbor classification","volume":"10","author":"weinberger","year":"2009","journal-title":"Journal of Machine Learning Research"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/2674061.2675032"},{"key":"ref16","first-page":"2579","article-title":"Visualizing data using t-sne","volume":"9","author":"der maaten","year":"2008","journal-title":"Journal of Machine Learning Research"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/2821650.2821672"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00285"},{"key":"ref19","first-page":"1433","article-title":"An empirical analysis of domain adaptation algorithms for genomic sequence analysis","author":"schweikert","year":"2009","journal-title":"Advances in neural information processing systems"},{"key":"ref4","article-title":"Residential electricity use feedback: A research synthesis and economic framework","volume":"3","author":"neenan","year":"2009","journal-title":"Electric Power Research Institute"},{"key":"ref3","first-page":"26","article-title":"The effectiveness of feedback on energy consumption","volume":"486","author":"darby","year":"2006","journal-title":"A review for DEFRA of the literature on metering billing and direct displays"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2019.8683552"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/2993422.2993581"},{"key":"ref8","first-page":"59","article-title":"Redd: A public data set for energy disaggregation research","volume":"25","author":"kolter","year":"2011","journal-title":"Workshop on Data Mining Applications in Sustainability (SIGKDD)"},{"key":"ref7","first-page":"2096","article-title":"Domain- adversarial training of neural networks","volume":"17","author":"ganin","year":"2016","journal-title":"The Journal of Machine Learning Research"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SmartGridComm.2015.7436411"},{"key":"ref9","first-page":"1472","article-title":"Approximate inference in additive factorial hmms with application to energy disaggregation","author":"kolter","year":"2012","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/5.192069"}],"event":{"name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Barcelona, Spain","start":{"date-parts":[[2020,5,4]]},"end":{"date-parts":[[2020,5,8]]}},"container-title":["ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9040208\/9052899\/09054608.pdf?arnumber=9054608","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:25:59Z","timestamp":1656375959000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9054608\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icassp40776.2020.9054608","relation":{},"subject":[],"published":{"date-parts":[[2020,5]]}}}