{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,19]],"date-time":"2025-05-19T11:29:17Z","timestamp":1747654157234,"version":"3.28.0"},"reference-count":17,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"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":[[2021,7,1]]},"DOI":"10.1109\/ecai52376.2021.9515097","type":"proceedings-article","created":{"date-parts":[[2021,8,23]],"date-time":"2021-08-23T18:03:11Z","timestamp":1629741791000},"page":"1-4","source":"Crossref","is-referenced-by-count":2,"title":["Facial Thermal Image Analysis with Deep Convolutional Neural Network Architectures for Subject Dependent Drunkenness Diagnosis"],"prefix":"10.1109","author":[{"given":"Alexandru-Ionel","family":"Soltuz","sequence":"first","affiliation":[]},{"given":"Victor-Emil","family":"Neagoe","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","first-page":"147","article-title":"An ensemble of deep convolutional neural networks for drunkenness detection using thermal infrared facial imagery","author":"neagoe","year":"2020","journal-title":"Proc 13th International Conference on Communications"},{"key":"ref11","first-page":"121","article-title":"Neural networks for data mining","author":"neagoe","year":"2018","journal-title":"Re?ele neurale pentru explorarea datelor"},{"journal-title":"Learn about convolutional neural networks","year":"2021","key":"ref12"},{"key":"ref13","article-title":"Spring research presentation: a theoretical foundation for inductive transfer","author":"west","year":"2007","journal-title":"Brigham Young University College of Physical and Mahematical Sciences"},{"journal-title":"Train Deep Learning Network to Classify New Images","year":"2021","key":"ref14"},{"journal-title":"CNN Architectures LeNet AlexNet VGG GoogleNet ResNet and more","year":"2021","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"journal-title":"Sober drunk data base","year":"2013","key":"ref17"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/IWBF.2013.6547311"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1504\/IJESDF.2012.049747"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.forsciint.2015.04.022"},{"key":"ref5","first-page":"233","article-title":"Eye temperature distribution in drunk persons using thermal imagery","author":"koukiou","year":"2013","journal-title":"Biometrics Special Interest Group (BIOSIG) 2013 International Conference of The IEEE"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2007.1007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/S1077-3142(03)00075-4"},{"key":"ref2","first-page":"53","article-title":"Abnormal driver behavior detection using parallel CPU and GPU algorithm through facial expression, thermal imaging and heart rate data fusion","volume":"2","author":"isa","year":"2012","journal-title":"International Journal of Engineering and Innovative Technology (IJEIT)"},{"journal-title":"Road Safety Report","year":"2013","key":"ref1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/EHB.2017.7995387"}],"event":{"name":"2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)","start":{"date-parts":[[2021,7,1]]},"location":"Pitesti, Romania","end":{"date-parts":[[2021,7,3]]}},"container-title":["2021 13th International Conference on Electronics, Computers and Artificial Intelligence (ECAI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9514927\/9515011\/09515097.pdf?arnumber=9515097","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T11:45:02Z","timestamp":1652183102000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9515097\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,1]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1109\/ecai52376.2021.9515097","relation":{},"subject":[],"published":{"date-parts":[[2021,7,1]]}}}