{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,24]],"date-time":"2026-03-24T16:07:10Z","timestamp":1774368430121,"version":"3.50.1"},"reference-count":63,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"2","license":[{"start":{"date-parts":[[2025,4,1]],"date-time":"2025-04-01T00:00:00Z","timestamp":1743465600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003725","name":"National Research Foundation of Korea","doi-asserted-by":"publisher","award":["NRF-2020K1A3A1A68093469"],"award-info":[{"award-number":["NRF-2020K1A3A1A68093469"]}],"id":[{"id":"10.13039\/501100003725","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Ministry of Science"},{"name":"Department of Biotechnology","award":["DBT\/IC-12031(22)-ICD-DBT"],"award-info":[{"award-number":["DBT\/IC-12031(22)-ICD-DBT"]}]},{"name":"Ghent University Global Campus"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Affective Comput."],"published-print":{"date-parts":[[2025,4]]},"DOI":"10.1109\/taffc.2024.3488112","type":"journal-article","created":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T17:52:57Z","timestamp":1730310777000},"page":"1031-1043","source":"Crossref","is-referenced-by-count":6,"title":["Interpreting Stress Detection Models Using SHAP and Attention for MuSe-Stress 2022"],"prefix":"10.1109","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9937-8617","authenticated-orcid":false,"given":"Ho-Min","family":"Park","sequence":"first","affiliation":[{"name":"Department of Environmental Technology, Food Technology and Molecular Biotechnology, Center for Biosystems and Biotech Data Science, Ghent University Global Campus, Incheon, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-9579-3550","authenticated-orcid":false,"given":"Ganghyun","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Environmental Technology, Food Technology and Molecular Biotechnology, Center for Biosystems and Biotech Data Science, Ghent University Global Campus, Incheon, South Korea"}]},{"given":"Jinsung","family":"Oh","sequence":"additional","affiliation":[{"name":"Department of Environmental Technology, Food Technology and Molecular Biotechnology, Center for Biosystems and Biotech Data Science, Ghent University Global Campus, Incheon, South Korea"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8545-7437","authenticated-orcid":false,"given":"Arnout","family":"Van Messem","sequence":"additional","affiliation":[{"name":"Department of Mathematics, University of Li&#x00E8;ge, Li&#x00E8;ge, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8190-3839","authenticated-orcid":false,"given":"Wesley","family":"De Neve","sequence":"additional","affiliation":[{"name":"Department of Environmental Technology, Food Technology and Molecular Biotechnology, Center for Biosystems and Biotech Data Science, Ghent University Global Campus, Incheon, South Korea"}]}],"member":"263","reference":[{"issue":"3","key":"ref1","first-page":"394","article-title":"Autonomic nervous system activity in emotion: A review","volume-title":"Biol. Psychol.","volume":"84","author":"Kreibig","year":"2010"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3389\/fnins.2022.947168"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-020-01299-4"},{"issue":"9","key":"ref4","first-page":"10745","article-title":"Dawn of the transformer era in speech emotion recognition: Closing the valence gap","volume-title":"IEEE Trans. Pattern Anal. Mach. Intell.","volume":"45","author":"Wagner","year":"2023"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3026823"},{"key":"ref6","article-title":"Deep learning based multimodal emotion recognition using model-level fusion of audio\u2013visual modalities","volume-title":"Knowl.-Based Syst.","volume":"244","author":"Middya","year":"2022"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/NER.2013.6695876"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/T-AFFC.2011.15"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2017.2688239"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2020.3003736"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10579-008-9076-6"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2017.7953216"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2016.2515617"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0196391"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3551876.3554817"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3475957.3484450"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-98131-4_9"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2983149"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027314"},{"issue":"3","key":"ref20","first-page":"50","article-title":"European union regulations on algorithmic decision-making and a \u201cright to explanation\u201d","volume-title":"AI Mag.","volume":"38","author":"Goodman","year":"2017"},{"key":"ref21","volume-title":"Interpretable Machine Learning","author":"Molnar","year":"2020"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3551876.3554807"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3551876.3554811"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1145\/3551876.3554804"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1145\/3551876.3554809"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/1873951.1874246"},{"key":"ref27","article-title":"Py-Feat: Python facial expression analysis toolbox","author":"Jolly","year":"2021"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW.2017.8272618"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/FG.2018.00020"},{"key":"ref30","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","author":"Devlin","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.3037496"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2017.2740923"},{"key":"ref34","first-page":"5998","article-title":"Attention is all you need","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Vaswani"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1038\/s42256-019-0048-x"},{"key":"ref36","article-title":"Towards a rigorous science of interpretable machine learning","author":"Doshi-Velez","year":"2017"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.7249\/rm0656"},{"key":"ref38","first-page":"721","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg"},{"key":"ref39","article-title":"Consistent individualized feature attribution for tree ensembles","author":"Lundberg","year":"2018"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref41","first-page":"3145","article-title":"Learning important features through propagating activation differences","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Shrikumar"},{"key":"ref42","first-page":"3889","article-title":"Is attention explanation? An introduction to the debate","volume-title":"Proc. 60th Annu. Meeting Assoc. Comput. Linguistics","author":"Bibal"},{"key":"ref43","first-page":"3543","article-title":"Attention is not explanation","volume-title":"Proc. 2019 Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Jain"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467307"},{"key":"ref45","first-page":"11","article-title":"Attention is not not explanation","volume-title":"Proc. 2019 Conf. Empirical Methods Natural Lang. Process. 9th Int. Joint Conf. Natural Lang. Process.","author":"Wiegreffe"},{"key":"ref46","first-page":"4206","article-title":"Towards transparent and explainable attention models","volume-title":"Proc. 58th Annu. Meeting Assoc. Comput. Linguistics","author":"Mohankumar"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00084"},{"key":"ref48","first-page":"37","article-title":"A multiscale visualization of attention in the transformer model","volume-title":"Proc. 57th Annu. Meeting Assoc. Comput. Linguistics: Syst. Demonstrations","author":"Vig"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3534678.3539432"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1145\/3475957.3484451"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2929257"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TAFFC.2015.2457417"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-019-01707-5"},{"issue":"2","key":"ref56","first-page":"841","article-title":"Counterfactual explanations without opening the black box: Automated decisions and the GDPR","volume-title":"Harvard J. Law Technol.","volume":"31","author":"Wachter","year":"2018"},{"key":"ref57","article-title":"Acoustic correlates of the voice qualifiers: A survey","author":"Memon","year":"2020"},{"issue":"1","key":"ref58","first-page":"49","article-title":"Formant frequency changes of female voice \/a\/, \/i\/, \/u\/ in real ear","volume-title":"Phonetics Speech Sci.","volume":"9","author":"Heo","year":"2017"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1121\/1.4806554"},{"key":"ref60","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/S0065-2458(10)78003-7","article-title":"Features for content-based audio retrieval","volume-title":"Advances in Computers: Improving the Web","volume":"78","author":"Mitrovi\u0107","year":"2010"},{"issue":"86","key":"ref61","first-page":"2579","article-title":"Visualizing data using t-SNE","volume-title":"J. Mach. Learn. Res.","volume":"9","author":"van der Maaten","year":"2008"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.1982.1056489"},{"key":"ref63","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Sundararajan"}],"container-title":["IEEE Transactions on Affective Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/5165369\/11018643\/10738428.pdf?arnumber=10738428","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,2]],"date-time":"2025-06-02T18:01:48Z","timestamp":1748887308000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10738428\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,4]]},"references-count":63,"journal-issue":{"issue":"2"},"URL":"https:\/\/doi.org\/10.1109\/taffc.2024.3488112","relation":{},"ISSN":["1949-3045","2371-9850"],"issn-type":[{"value":"1949-3045","type":"electronic"},{"value":"2371-9850","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,4]]}}}