{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T16:13:25Z","timestamp":1776442405650,"version":"3.51.2"},"publisher-location":"New York, NY, USA","reference-count":30,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,9,11]],"date-time":"2022-09-11T00:00:00Z","timestamp":1662854400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,9,11]]},"DOI":"10.1145\/3544793.3563404","type":"proceedings-article","created":{"date-parts":[[2023,4,24]],"date-time":"2023-04-24T16:03:23Z","timestamp":1682352203000},"page":"202-206","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Multi-task Learning for Stress Recognition"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6650-3784","authenticated-orcid":false,"given":"Alessandro","family":"Pogliaghi","sequence":"first","affiliation":[{"name":"Universit\u00e0 della Svizzera italiana (USI), Switzerland"}]},{"given":"Elena","family":"Di Lascio","sequence":"additional","affiliation":[{"name":"Universit\u00e0 della Svizzera italiana (USI), Switzerland"}]},{"given":"Shkurta","family":"Gashi","sequence":"additional","affiliation":[{"name":"Universit\u00e0 della Svizzera italiana (USI), Switzerland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1220-7418","authenticated-orcid":false,"given":"Emanuela","family":"Piciucco","sequence":"additional","affiliation":[{"name":"Keyless technologies std, Italy"}]},{"given":"Silvia","family":"Santini","sequence":"additional","affiliation":[{"name":"Universit\u00e0 della Svizzera italiana (USI), Switzerland"}]},{"given":"Martin","family":"Gjoreski","sequence":"additional","affiliation":[{"name":"Universit\u00e0 della Svizzera italiana (USI), Switzerland"}]}],"member":"320","published-online":{"date-parts":[[2023,4,24]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"EDA Explorer - A tool for the analysis of Electrodermal Activity (EDA) data. https:\/\/eda-explorer.media.mit.edu\/. [Online","year":"2021","unstructured":"2021. EDA Explorer - A tool for the analysis of Electrodermal Activity (EDA) data. https:\/\/eda-explorer.media.mit.edu\/. [Online; accessed 19-July-2021]."},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/s140406474"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Wolfram Boucsein. 2012. Electrodermal Activity. Springer Science & Business Media.","DOI":"10.1007\/978-1-4614-1126-0"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1071-5819(03)00018-1"},{"key":"e_1_3_2_1_5_1","unstructured":"Andriy Burkov. 2019. The Hundred-page Machine Learning Book. Vol.\u00a01. Andriy Burkov Canada."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-015-0323-2"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1023\/A:1007379606734"},{"key":"e_1_3_2_1_8_1","volume-title":"Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR abs\/1905.05928","author":"Chen Guangyong","year":"2019","unstructured":"Guangyong Chen, Pengfei Chen, Yujun Shi, Chang-Yu Hsieh, Benben Liao, and Shengyu Zhang. 2019. Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks. CoRR abs\/1905.05928 (2019). http:\/\/arxiv.org\/abs\/1905.05928"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3381012","article-title":"Metier: A deep multi-task learning based activity and user recognition model using wearable sensors","volume":"4","author":"Chen Ling","year":"2020","unstructured":"Ling Chen, Yi Zhang, and Liangying Peng. 2020. Metier: A deep multi-task learning based activity and user recognition model using wearable sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 1 (2020), 1\u201318.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2982852"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1161\/01.CIR.93.5.1043"},{"key":"e_1_3_2_1_12_1","volume-title":"Empatica E4 wristband - Real-time physiological data streaming and visualization. https:\/\/www.empatica.com\/research\/e4\/. [Online","year":"2021","unstructured":"Empatica. 2021. Empatica E4 wristband - Real-time physiological data streaming and visualization. https:\/\/www.empatica.com\/research\/e4\/. [Online; accessed 7-July-2021]."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2017.08.006"},{"key":"e_1_3_2_1_14_1","volume-title":"Emotional Intelligence: Why It Can Matter More Than IQ","author":"Goleman Daniel","year":"1995","unstructured":"Daniel Goleman. 1995. Emotional Intelligence: Why It Can Matter More Than IQ. Random House Publishing Group."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2474131"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511542435"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-73831-9_16"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1159\/000119004"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.biopsycho.2010.03.010"},{"key":"e_1_3_2_1_20_1","volume-title":"The deep learning \u2013 applied math connection. https:\/\/bytes.usc.edu\/cs585\/m20_dBdSmLdM\/extras\/docs\/LeCun_MDS20.pdf. [Online","author":"LeCun Y.","year":"2021","unstructured":"Y. LeCun. 2020. The deep learning \u2013 applied math connection. https:\/\/bytes.usc.edu\/cs585\/m20_dBdSmLdM\/extras\/docs\/LeCun_MDS20.pdf. [Online; accessed 21-June-2021]."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/DCIS201949030.2019.8959852"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.03.020"},{"key":"e_1_3_2_1_23_1","unstructured":"Alessandro Pogliaghi. 2021. Multi-task Learning for the Joint Recognition of User Identity and A\ufb00ective States Using Physiological Signals. https:\/\/www.gitlab.com\/tatoalo\/mtl_affect_recognition_user_identity. [Online]."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3328932"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","unstructured":"Stanis\u0142aw Saganowski Anna Dutkowiak Adam Dziadek Maciej Dzie\u017cyc Joanna Komoszy\u0144ska Weronika Michalska Adam Polak Micha\u0142 Ujma and Przemys\u0142aw Kazienko. 2020. Emotion Recognition Using Wearables: A Systematic Literature Review - Work-in-progress. https:\/\/doi.org\/10.1109\/PerComWorkshops48775.2020.9156096","DOI":"10.1109\/PerComWorkshops48775.2020.9156096"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1805.11604"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/3242969.3242985"},{"key":"e_1_3_2_1_28_1","volume-title":"Scikit-learn metrics - F1 Score. https:\/\/scikit-learn.org\/ stable\/modules\/generated\/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score. [Online","year":"2022","unstructured":"Scikit-learn. 2022. Scikit-learn metrics - F1 Score. https:\/\/scikit-learn.org\/ stable\/modules\/generated\/sklearn.metrics.f1_score.html#sklearn.metrics.f1_score. [Online; accessed 12-March-2022]."},{"key":"e_1_3_2_1_29_1","volume-title":"HeartPy: A Novel Heart Rate Algorithm for the Analysis of Noisy Signals. Transportation research part F: traffic psychology and behaviour 66","author":"van Gent Paul","year":"2019","unstructured":"Paul van Gent, Haneen Farah, Nicole van Nes, and Bart van Arem. 2019. HeartPy: A Novel Heart Rate Algorithm for the Analysis of Noisy Signals. Transportation research part F: traffic psychology and behaviour 66 (2019), 368\u2013378."},{"key":"e_1_3_2_1_30_1","unstructured":"Yu Zhang and Qiang Yang. 2021. A Survey on Multi-Task Learning. arxiv:1707.08114\u00a0[cs.LG]"}],"event":{"name":"UbiComp\/ISWC '22: The 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","location":"Cambridge United Kingdom","acronym":"UbiComp\/ISWC '22","sponsor":["SIGSPATIAL ACM Special Interest Group on Spatial Information","SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544793.3563404","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3544793.3563404","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T20:29:11Z","timestamp":1775852951000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3544793.3563404"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,11]]},"references-count":30,"alternative-id":["10.1145\/3544793.3563404","10.1145\/3544793"],"URL":"https:\/\/doi.org\/10.1145\/3544793.3563404","relation":{},"subject":[],"published":{"date-parts":[[2022,9,11]]},"assertion":[{"value":"2023-04-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}