{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T17:38:11Z","timestamp":1782409091420,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":14,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T00:00:00Z","timestamp":1632182400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"The Academy of Finland 6Genesis Flagship"},{"name":"The Vision-based 3D perception for mixed reality applications project by the Infotech institute of the University of Oulu"},{"name":"TrustedMaaS project by the Infotech institute of the University of Oulu"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,9,21]]},"DOI":"10.1145\/3460418.3479320","type":"proceedings-article","created":{"date-parts":[[2021,9,24]],"date-time":"2021-09-24T17:56:03Z","timestamp":1632506163000},"page":"121-125","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["StressNAS: Affect State and Stress Detection Using Neural Architecture Search"],"prefix":"10.1145","author":[{"given":"Lam","family":"Huynh","sequence":"first","affiliation":[{"name":"Center for Machine Vision and Signal Analysis, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tri","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Oulu, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thu","family":"Nguyen","sequence":"additional","affiliation":[{"name":"University of Oulu, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Susanna","family":"Pirttikangas","sequence":"additional","affiliation":[{"name":"University of Oulu, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pekka","family":"Siirtola","sequence":"additional","affiliation":[{"name":"University of Oulu, Finland"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2021,9,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"International conference on learning representatoins.","author":"Barret Zoph","year":"2017","unstructured":"Zoph Barret and V\u00a0Le Quoc . 2017 . Neural architecture search with reinforcement learning . In International conference on learning representatoins. Zoph Barret and V\u00a0Le Quoc. 2017. Neural architecture search with reinforcement learning. In International conference on learning representatoins."},{"key":"e_1_3_2_1_2_1","volume-title":"International Conference on Learning Representations.","author":"Dong Xuanyi","year":"2019","unstructured":"Xuanyi Dong and Yi Yang . 2019 . NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search . In International Conference on Learning Representations. Xuanyi Dong and Yi Yang. 2019. NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search. In International Conference on Learning Representations."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.3390\/s20226535"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2986810"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/2968219.2968306"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1108\/17410401011052869"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_8_1","volume-title":"Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861(2017).","author":"Howard G","year":"2017","unstructured":"Andrew\u00a0 G Howard , Menglong Zhu , Bo Chen , Dmitry Kalenichenko , Weijun Wang , Tobias Weyand , Marco Andreetto , and Hartwig Adam . 2017 . Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861(2017). Andrew\u00a0G Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, Weijun Wang, Tobias Weyand, Marco Andreetto, and Hartwig Adam. 2017. Mobilenets: Efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861(2017)."},{"key":"e_1_3_2_1_9_1","unstructured":"Forrest\u00a0N Iandola Song Han Matthew\u00a0W Moskewicz Khalid Ashraf William\u00a0J Dally and Kurt Keutzer. 2016. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size. arXiv preprint arXiv:1602.07360(2016).  Forrest\u00a0N Iandola Song Han Matthew\u00a0W Moskewicz Khalid Ashraf William\u00a0J Dally and Kurt Keutzer. 2016. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and < 0.5 MB model size. arXiv preprint arXiv:1602.07360(2016)."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"e_1_3_2_1_11_1","unstructured":"Joseph Mellor Jack Turner Amos Storkey and Elliot\u00a0J. Crowley. 2020. Neural Architecture Search without Training. arxiv:2006.04647\u00a0[cs.LG]  Joseph Mellor Jack Turner Amos Storkey and Elliot\u00a0J. Crowley. 2020. Neural Architecture Search without Training. arxiv:2006.04647\u00a0[cs.LG]"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"e_1_3_2_1_13_1","unstructured":"Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014).  Karen Simonyan and Andrew Zisserman. 2014. Very deep convolutional networks for large-scale image recognition. arXiv preprint arXiv:1409.1556(2014)."},{"key":"e_1_3_2_1_14_1","volume-title":"Attention is all you need. Advances in neural information processing systems","author":"Vaswani A","year":"2017","unstructured":"A Vaswani , N Shazeer , N Parmar , J Uszkoreit , L Jones , and AN Gomez . 2017. & Polosukhin, I.(2017). Attention is all you need. Advances in neural information processing systems ( 2017 ), 5998\u20136008. A Vaswani, N Shazeer, N Parmar, J Uszkoreit, L Jones, and AN Gomez. 2017. & Polosukhin, I.(2017). Attention is all you need. Advances in neural information processing systems (2017), 5998\u20136008."}],"event":{"name":"UbiComp '21: The 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing","location":"Virtual USA","acronym":"UbiComp '21","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction","SIGSPATIAL ACM Special Interest Group on Spatial Information"]},"container-title":["Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460418.3479320","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3460418.3479320","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:55Z","timestamp":1750191535000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3460418.3479320"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,21]]},"references-count":14,"alternative-id":["10.1145\/3460418.3479320","10.1145\/3460418"],"URL":"https:\/\/doi.org\/10.1145\/3460418.3479320","relation":{},"subject":[],"published":{"date-parts":[[2021,9,21]]},"assertion":[{"value":"2021-09-24","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}