{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T16:30:53Z","timestamp":1775579453617,"version":"3.50.1"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,6,1]],"date-time":"2023-06-01T00:00:00Z","timestamp":1685577600000},"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":[[2023,6]]},"DOI":"10.1109\/ie57519.2023.10179111","type":"proceedings-article","created":{"date-parts":[[2023,7,14]],"date-time":"2023-07-14T13:21:26Z","timestamp":1689340886000},"page":"1-8","source":"Crossref","is-referenced-by-count":3,"title":["Sensor Event Sequence Prediction for Proactive Smart Home Support Using Autoregressive Language Model"],"prefix":"10.1109","author":[{"given":"Naoto","family":"Takeda","sequence":"first","affiliation":[{"name":"KDDI Research, Inc,Fujimino,Japan"}]},{"given":"Roberto","family":"Legaspi","sequence":"additional","affiliation":[{"name":"KDDI Research, Inc,Fujimino,Japan"}]},{"given":"Yasutaka","family":"Nishimura","sequence":"additional","affiliation":[{"name":"KDDI Research, Inc,Fujimino,Japan"}]},{"given":"Kazushi","family":"Ikeda","sequence":"additional","affiliation":[{"name":"KDDI Research, Inc,Fujimino,Japan"}]},{"given":"Atsunori","family":"Minamikawa","sequence":"additional","affiliation":[{"name":"KDDI Research, Inc,Fujimino,Japan"}]},{"given":"Thomas","family":"Pl\u00f6tz","sequence":"additional","affiliation":[{"name":"School of Interactive Computing, College of Computing Georgia Institute of Technology,Atlanta,USA"}]},{"given":"Sonia","family":"Chernova","sequence":"additional","affiliation":[{"name":"School of Interactive Computing, College of Computing Georgia Institute of Technology,Atlanta,USA"}]}],"member":"263","reference":[{"key":"ref13","first-page":"1","article-title":"Mining Longest Repeating Subsequences to Predict World Wide Web Surfing","author":"pitkow","year":"1999","journal-title":"Proc of the 2nd Conf on USENIX Symp on Internet Technologies and Systems - Volume 2"},{"key":"ref12","article-title":"XLNet: Generalized Autoregressive Pretraining for Language Understanding","author":"yang","year":"2019","journal-title":"Advances in neural information processing systems"},{"key":"ref15","first-page":"6000","article-title":"Attention is All You Need","author":"vaswani","year":"2017","journal-title":"Proc of the 31st Int&#x2019;l Conf on Neural Information Processing Systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18178\/ijmlc.2020.10.2.935"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s42835-019-00278-8"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/IS.2018.8710467"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/s20154227"},{"key":"ref17","article-title":"Language Models are Unsupervised Multitask Learners","author":"radford","year":"2019"},{"key":"ref16","article-title":"Improving Language Understanding by Generative Pre-Training","author":"radford","year":"2018"},{"key":"ref19","first-page":"3149","article-title":"LightGBM: A Highly Efficient Gradient Boosting Decision Tree","author":"ke","year":"2017","journal-title":"Proc of the 31st Int&#x2019;l Conf on Neural Information Processing Systems"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCC.2012.2198883"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.158"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-53917-6_16"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/461"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1126\/science.1199644"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/GCWkshps50303.2020.9367452"},{"key":"ref22","first-page":"1","article-title":"CTRL - A Conditional Transformer Language Model for Controllable Generation","author":"keskar","year":"2019","journal-title":"arXiv preprint arXiv 1909 05952"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.630"},{"key":"ref8","first-page":"1","article-title":"Deep Learning for Sensor-Based Human Activity Recognition: Overview, Challenges, and Opportunities","volume":"54","author":"chen","year":"2021","journal-title":"ACM Computing Surveys"},{"key":"ref7","first-page":"1","article-title":"Unsupervised Human Activity Recognition Using the Clustering Approach: A Review","volume":"20","author":"colpas","year":"2020","journal-title":"SENSORS"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.105569"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-67585-5_43"},{"key":"ref3","first-page":"1","article-title":"On Predicting Sensor Readings with Sequence Modeling and Reinforcement Learning for Energy-Efficient IoT Applications","author":"laidi","year":"2021","journal-title":"IEEE Trans Systems Man Cybernet"},{"key":"ref6","first-page":"1","article-title":"Assessing the Quality of Activities in a Smart Environment","volume":"48","author":"cook","year":"2009","journal-title":"Methods of Information in Medicine"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSMCB.2012.2216873"}],"event":{"name":"2023 19th International Conference on Intelligent Environments (IE)","location":"Uniciti, Mauritius","start":{"date-parts":[[2023,6,29]]},"end":{"date-parts":[[2023,6,30]]}},"container-title":["2023 19th International Conference on Intelligent Environments (IE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10179020\/10179089\/10179111.pdf?arnumber=10179111","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,8,1]],"date-time":"2023-08-01T14:01:44Z","timestamp":1690898504000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10179111\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,6]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/ie57519.2023.10179111","relation":{},"subject":[],"published":{"date-parts":[[2023,6]]}}}