{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T06:11:22Z","timestamp":1769062282880,"version":"3.49.0"},"reference-count":47,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,8,21]],"date-time":"2022-08-21T00:00:00Z","timestamp":1661040000000},"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":[[2022,8,21]]},"DOI":"10.1109\/icpr56361.2022.9956230","type":"proceedings-article","created":{"date-parts":[[2022,11,29]],"date-time":"2022-11-29T19:34:13Z","timestamp":1669750453000},"page":"2597-2604","source":"Crossref","is-referenced-by-count":3,"title":["Face Value: On the Impact of Annotation (In-)Consistencies and Label Ambiguity in Facial Data on Emotion Recognition"],"prefix":"10.1109","author":[{"given":"Jens","family":"Gebele","sequence":"first","affiliation":[{"name":"Neu-Ulm University of Applied Sciences,Technology-Transfer-Centre Günzburg,Neu-Ulm,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Philipp","family":"Brune","sequence":"additional","affiliation":[{"name":"Neu-Ulm University of Applied Sciences,Technology-Transfer-Centre Günzburg,Neu-Ulm,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stefan","family":"Fauser","sequence":"additional","affiliation":[{"name":"Neu-Ulm University of Applied Sciences,Technology-Transfer-Centre Günzburg,Neu-Ulm,Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref39","volume":"10","author":"ekman","year":"2003","journal-title":"Unmasking the Face A Guide to Recognizing Emotions From Facial Clues"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.277"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.195"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref31","article-title":"Very Deep Convolutional Networks for Large-Scale Image Recognition","author":"simonyan","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.1998.670949"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2010.5543262"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"7132","DOI":"10.1109\/CVPR.2018.00745","article-title":"Squeeze-and-Excitation Networks","author":"hu","year":"2018","journal-title":"2018 IEEE\/CVF Conference on Computer Vision and Pattern Recognition"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-32063-4"},{"key":"ref40","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-642-42051-1_16","article-title":"Challenges in Representation Learning: A report on three machine learning contests","author":"goodfellow","year":"2013"},{"key":"ref11","first-page":"301","article-title":"Basic emotions. Handbook of cognition and emotion","author":"ekman","year":"1999"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.neuron.2020.09.030"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2019.102447"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/ICCE-Berlin.2018.8576169"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.05.005"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1037\/10001-000"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/34.908962"},{"key":"ref18","article-title":"Deep learning for human affect recognition: Insights and new developments","author":"rouast","year":"2019","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3113464"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref4","article-title":"Replika","year":"2021"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00231"},{"key":"ref3","article-title":"Affectiva - Humanizing Technology","year":"2021"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3390\/safety6040055"},{"key":"ref29","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","volume":"25","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/s11747-019-00696-0"},{"key":"ref8","article-title":"Your new best friend: AI chatbot","author":"french","year":"2018"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1177\/1094670517752459"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2020.07.101"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11747-020-00749-9"},{"key":"ref1","article-title":"Deep facial expression recognition: A survey","author":"li","year":"2020","journal-title":"IEEE Transactions on Affective Computing"},{"key":"ref46","article-title":"The averaged Karolinska directed emotional faces-AKDEF","author":"lundqvist","year":"1998","journal-title":"AKDEF CD ROM Psychology section Karolin-ska Institutet Stockholm"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1037\/h0030377"},{"key":"ref45","article-title":"The Karolinska Directed Emotional Faces (KDEF), 1998","author":"lundqvist","year":"1998","journal-title":"Department of Neurosciences Karolinska Hospital Stockholm Sweden"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.21786\/bbrc\/14.5\/29"},{"key":"ref47","article-title":"Convolutional neural networks pretrained on large face recognition datasets for emotion classification from video","author":"knyazev","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CICN.2017.8319353"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/AFGR.2000.840611"},{"key":"ref24","article-title":"Facial Emotion Recognition: State of the Art Performance on FER2013","author":"khaireddin","year":"2021"},{"key":"ref41","article-title":"NVIDIA Data Science Stack","year":"2021","journal-title":"NVIDIA Corporation"},{"key":"ref23","first-page":"5","article-title":"Facial action coding system: A technique for the measurement of facial movement","volume":"3","author":"friesen","year":"1978","journal-title":"Palo Alto"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2011.6130508"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2017.79"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1145\/2663204.2666275"},{"key":"ref25","article-title":"Real-time emotion recognition from facial expressions","author":"quinn","year":"2017","journal-title":"Standford University"}],"event":{"name":"2022 26th International Conference on Pattern Recognition (ICPR)","location":"Montreal, QC, Canada","start":{"date-parts":[[2022,8,21]]},"end":{"date-parts":[[2022,8,25]]}},"container-title":["2022 26th International Conference on Pattern Recognition (ICPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9956007\/9955631\/09956230.pdf?arnumber=9956230","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:06:53Z","timestamp":1671480413000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9956230\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,8,21]]},"references-count":47,"URL":"https:\/\/doi.org\/10.1109\/icpr56361.2022.9956230","relation":{},"subject":[],"published":{"date-parts":[[2022,8,21]]}}}