{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,29]],"date-time":"2026-03-29T21:05:17Z","timestamp":1774818317826,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":22,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,7,4]],"date-time":"2022-07-04T00:00:00Z","timestamp":1656892800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"Valencian Regional Government","award":["AICO\/2021\/019 and ACIF\/2021\/439"],"award-info":[{"award-number":["AICO\/2021\/019 and ACIF\/2021\/439"]}]},{"name":"MCIN\/AEI\/10.13039\/501100011033 and FEDER","award":["PGC2018-096463-B-I00"],"award-info":[{"award-number":["PGC2018-096463-B-I00"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,7,4]]},"DOI":"10.1145\/3503252.3531323","type":"proceedings-article","created":{"date-parts":[[2022,7,1]],"date-time":"2022-07-01T14:37:41Z","timestamp":1656686261000},"page":"164-169","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["On the benefits of using Hidden Markov Models to predict emotions"],"prefix":"10.1145","author":[{"given":"Yuyan","family":"Wu","sequence":"first","affiliation":[{"name":"Computer Science, Universitat de Val\u00e8ncia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Arevalillo Herr\u00e1ez","sequence":"additional","affiliation":[{"name":"Computer Science, Universitat de Val\u00e8ncia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stamos","family":"Katsigiannis","sequence":"additional","affiliation":[{"name":"Computer Science, Durham University, United Kingdom"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Naeem","family":"Ramzan","sequence":"additional","affiliation":[{"name":"Computing, Engineering and Physical Sciences, University of the West of Scotland, Scotland Uk"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,7,4]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2922037"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/BIBE.2017.00-74"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.03.027"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3061727"},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.38"},{"key":"e_1_3_2_2_6_1","first-page":"16","article-title":"The PREP pipeline: standardized preprocessing for large-scale EEG analysis","volume":"9","author":"Nima Bigdely-Shamlo Tim Mullen","year":"2015","unstructured":"Nima Bigdely-Shamlo, Tim Mullen, Christian Kothe, Kyung-Min Su, and Kay\u00a0A Robbins. 2015. The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Frontiers in Neuroinformatics 9 (2015), 16.","journal-title":"Frontiers in Neuroinformatics"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2010.2045498"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/CSE\/EUC.2019.00029"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jneumeth.2003.10.009"},{"key":"e_1_3_2_2_10_1","volume-title":"Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP \u201998 (Cat. No.98CH36181)","author":"Picard","unstructured":"J. Healey and R. Picard. 1998. Digital processing of affective signals. In Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP \u201998 (Cat. No.98CH36181), Vol.\u00a06. 3749\u20133752."},{"key":"e_1_3_2_2_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2688239"},{"key":"e_1_3_2_2_12_1","volume-title":"Uncertainty Proceedings","author":"Stephanie Sage","year":"1994","unstructured":"Pat Langley and Stephanie Sage. 1994. Induction of selective Bayesian classifiers. In Uncertainty Proceedings 1994. Elsevier, 399\u2013406."},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2018.2888998"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.23919\/BIOSIG.2017.8053521"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"crossref","unstructured":"Russell James A. 1980. A circumplex model of affect.Journal of Personality and Social Psychology 39 6(1980) 1161.","DOI":"10.1037\/h0077714"},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.3390\/s21051777"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.3390\/s18072074"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.25"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/11573548_125"},{"key":"e_1_3_2_2_20_1","doi-asserted-by":"publisher","DOI":"10.1109\/STSIVA.2014.7010181"},{"key":"e_1_3_2_2_21_1","volume-title":"Augsburg Biosignal Toolbox (AUBT)","author":"Wagner Johannes","unstructured":"Wagner, Johannes. 2005. Augsburg Biosignal Toolbox (AUBT). University of Augsburg(2005)."},{"key":"e_1_3_2_2_22_1","volume-title":"Hierarchical Feature Selection for Knowledge Discovery","author":"Cen Wan","unstructured":"Cen Wan. 2019. Feature selection paradigms. In Hierarchical Feature Selection for Knowledge Discovery. Springer, 17\u201323."}],"event":{"name":"UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization","location":"Barcelona Spain","acronym":"UMAP '22","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503252.3531323","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3503252.3531323","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:30:51Z","timestamp":1750188651000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3503252.3531323"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,4]]},"references-count":22,"alternative-id":["10.1145\/3503252.3531323","10.1145\/3503252"],"URL":"https:\/\/doi.org\/10.1145\/3503252.3531323","relation":{},"subject":[],"published":{"date-parts":[[2022,7,4]]},"assertion":[{"value":"2022-07-04","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}