{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,7,15]],"date-time":"2025-07-15T03:47:01Z","timestamp":1752551221295,"version":"3.28.0"},"reference-count":24,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016,10]]},"DOI":"10.1109\/uemcon.2016.7777912","type":"proceedings-article","created":{"date-parts":[[2016,12,13]],"date-time":"2016-12-13T01:35:39Z","timestamp":1481592939000},"page":"1-7","source":"Crossref","is-referenced-by-count":5,"title":["Online process phase detection using multimodal deep learning"],"prefix":"10.1109","author":[{"given":"Xinyu","family":"Li","sequence":"first","affiliation":[]},{"given":"Yanyi","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Mengzhu","family":"Li","sequence":"additional","affiliation":[]},{"given":"Shuhong","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Farneth R.","family":"Austin","sequence":"additional","affiliation":[]},{"given":"Ivan","family":"Marsic","sequence":"additional","affiliation":[]},{"given":"Randall S.","family":"Burd","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2010.10.001"},{"key":"ref11","first-page":"796","author":"brezmes","year":"2009","journal-title":"Activity Recognition from Accelerometer Data on a Mobile Phone"},{"key":"ref12","first-page":"689","article-title":"Multimodal deep learning","author":"ngiam","year":"0","journal-title":"Proceedings of the 28th International Conference on Machine Learning (ICML-11)"},{"key":"ref13","first-page":"61","author":"li","year":"2016","journal-title":"Privacy Preserving Dynamic Room Layout Mapping"},{"key":"ref14","article-title":"Understanding Neural Networks Through Deep Visualization","author":"yosinski","year":"2015","journal-title":"ArXiv org"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TASLP.2014.2339736"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2015.2389830"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/2750858.2804262"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.specom.2011.11.004"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/WIAMIS.2007.12"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/PERCOM.2011.5767594"},{"key":"ref6","article-title":"ImageNet Classification with Deep Convolutional Neural Networks","author":"krizhevsky","year":"2012","journal-title":"Papers nips cc"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/34.868685"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.223"},{"key":"ref7","article-title":"On the pairing of the softmax activation and cross-entropy penalty functions and the derivation of the softmax activation function","volume":"181","author":"ra","year":"1997","journal-title":"Proc 8th Aust Conf on the Neural Networks"},{"key":"ref2","first-page":"627","author":"blum","year":"2008","journal-title":"Modeling and Online Recognition of Surgical Phases Using Hidden Markov Models"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s11548-015-1195-0"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/IROS.2015.7353446"},{"key":"ref20","article-title":"Deep Neural Network Acoustic Models for ASR","author":"mohamed","year":"2014","journal-title":"Tspace library utoronto ca"},{"journal-title":"Adam A method for stochastic optimization","year":"2014","author":"kingma","key":"ref22"},{"journal-title":"TensorFlow Large-Scale Machine Learning on Heterogeneous Systems","year":"2016","author":"abadi","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/RFID.2016.7488002"},{"key":"ref23","first-page":"1929","article-title":"Dropout: a simple way to prevent neural networks from overfitting","author":"srivastava","year":"0","journal-title":"Journal of Machine Learning Research"}],"event":{"name":"2016 IEEE 7th Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON)","start":{"date-parts":[[2016,10,20]]},"location":"New York City, NY, USA","end":{"date-parts":[[2016,10,22]]}},"container-title":["2016 IEEE 7th Annual Ubiquitous Computing, Electronics &amp; Mobile Communication Conference (UEMCON)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/7763653\/7777798\/07777912.pdf?arnumber=7777912","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2017,1,5]],"date-time":"2017-01-05T13:12:28Z","timestamp":1483621948000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7777912\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/uemcon.2016.7777912","relation":{},"subject":[],"published":{"date-parts":[[2016,10]]}}}