{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,2]],"date-time":"2026-04-02T15:33:06Z","timestamp":1775143986715,"version":"3.50.1"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,7,1]],"date-time":"2019-07-01T00:00:00Z","timestamp":1561939200000},"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":[[2019,7]]},"DOI":"10.1109\/indin41052.2019.8972135","type":"proceedings-article","created":{"date-parts":[[2020,1,31]],"date-time":"2020-01-31T00:16:43Z","timestamp":1580429803000},"page":"1387-1394","source":"Crossref","is-referenced-by-count":22,"title":["Improving CNN-based activity recognition by data augmentation and transfer learning"],"prefix":"10.1109","author":[{"given":"Gerasimos","family":"Kalouris","sequence":"first","affiliation":[{"name":"University of Patras,MDKAM Lab,Patras,Greece"}]},{"given":"Evangelia I.","family":"Zacharaki","sequence":"additional","affiliation":[{"name":"University of Patras,VVR Group,Patras,Greece"}]},{"given":"Vasileios","family":"Megalooikonomou","sequence":"additional","affiliation":[{"name":"University of Patras,MDKAM Lab,Patras,Greece"}]}],"member":"263","reference":[{"key":"ref39","article-title":"Tensorflow: a system for large-scale machine learning","author":"abadi","year":"2016","journal-title":"OSDI"},{"key":"ref38","article-title":"A Stratified Analysis of Bayesian Optimization Methods","author":"dewancker","year":"2016"},{"key":"ref33","article-title":"Smartex","year":"0"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s19040880"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/EMS.2013.7"},{"key":"ref30","article-title":"Personalizing EEG-based affective models with transfer learning","author":"zheng","year":"2016","journal-title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence"},{"key":"ref37","article-title":"Practical bayesian optimization of machine learning algorithms","author":"snoek","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/INISTA.2018.8466269"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-019-0745-8"},{"key":"ref34","article-title":"FrailSafe project","year":"0"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s40708-016-0044-4"},{"key":"ref40","author":"chollet","year":"2015","journal-title":"Keras"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/8651930"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICEEI.2011.6021605"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/978-0-85729-130-1_26"},{"key":"ref14","author":"goodfellow","year":"2016","journal-title":"Deep Learning"},{"key":"ref15","article-title":"Deep Convolutional Neural Networks on Multichannel Time Series for Human Activity Recognition","author":"yang","year":"2015","journal-title":"IJCAI"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.4108\/icst.mobicase.2014.257786"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"115","DOI":"10.3390\/s16010115","article-title":"Deep convolutional and LSTM recurrent neural networks for multimodal wearable activity recognition","volume":"16","author":"ord\u00f3\u00f1ez","year":"2016","journal-title":"SENSORS"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2733373.2806333"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/INSS.2010.5573462"},{"key":"ref28","doi-asserted-by":"crossref","DOI":"10.1145\/3136755.3136817","article-title":"Data Augmentation of Wearable Sensor Data for Parkinson&#x2019;s Disease Monitoring using Convolutional Neural Networks","author":"um","year":"2017","journal-title":"Proceedings of the 19th ACM International Conference on Multimodal Interaction"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IWASI.2013.6576067"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178831"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.5220\/0005912200880095"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISWC.2012.13"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2018.2789890"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCP.2016.7737171"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2015.06.071"},{"key":"ref7","article-title":"A Public Domain Dataset for Human Activity Recognition Using Smartphones","author":"anguita","year":"2013","journal-title":"21th European Symposium on Artificial Neural Networks Computational Intelligence and Machine Learning (ESANN)"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-18374-9_27"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/2674396.2674412"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.pmcj.2012.07.003"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2012.09.004"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICSMC.2011.6083628"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1016\/j.gaitpost.2015.10.016"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/2003653.2003656"},{"key":"ref47","article-title":"Dynamic Weight Alignment for Temporal Convolutional Neural Networks","author":"iwana","year":"2017"},{"key":"ref21","article-title":"Deep Convolutional Neural Network Learning for Activity Recognition using real-life sensor&#x2019;s data in smart devices","author":"fekri","year":"2018","journal-title":"International Conference on E-Health Networking Applications and Services (Healthcom) 2009"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/HealthCom.2018.8531105"},{"key":"ref24","article-title":"Deep, convolutional, and recurrent models for human activity recognition using wearables","author":"hammerla","year":"2016"},{"key":"ref41","article-title":"How transferable are features in deep neural networks?","author":"yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BigData.2017.8257960"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/8934816"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00947"},{"key":"ref43","article-title":"Feature learning for activity recognition in ubiquitous computing","author":"pl\u00f6tz","year":"2011","journal-title":"IJCAI Proceedings-International Joint Conference on Artificial Intelligence"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2018.03.056"}],"event":{"name":"2019 IEEE 17th International Conference on Industrial Informatics (INDIN)","location":"Helsinki, Finland","start":{"date-parts":[[2019,7,22]]},"end":{"date-parts":[[2019,7,25]]}},"container-title":["2019 IEEE 17th International Conference on Industrial Informatics (INDIN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8961950\/8972012\/08972135.pdf?arnumber=8972135","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,8,23]],"date-time":"2025-08-23T00:44:54Z","timestamp":1755909894000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8972135\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,7]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/indin41052.2019.8972135","relation":{},"subject":[],"published":{"date-parts":[[2019,7]]}}}