{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,11]],"date-time":"2026-06-11T08:25:23Z","timestamp":1781166323371,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":31,"publisher":"ACM","funder":[{"name":"Funda\uc3a7\uc3a3o para a Ci\uc3aancia e a Tecnologia","award":["PRT\/BD\/154792\/2023, PRT\/BD\/154859\/2023, UI\/BD\/153605\/2022, UI\/BD\/153374\/2022, UIDB\/50011\/2020, UIDB\/00127"],"award-info":[{"award-number":["PRT\/BD\/154792\/2023, PRT\/BD\/154859\/2023, UI\/BD\/153605\/2022, UI\/BD\/153374\/2022, UIDB\/50011\/2020, UIDB\/00127"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,10,13]]},"DOI":"10.1145\/3747327.3764785","type":"proceedings-article","created":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:04:34Z","timestamp":1760191474000},"page":"92-99","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["When Features Matter More than Sequence: A Case for Tabular In Context Learning in Pain Classification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3806-6940","authenticated-orcid":false,"given":"Richard A. A.","family":"Jonker","sequence":"first","affiliation":[{"name":"IEETA, DETI, LASI, Universidade de Aveiro, Aveiro, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9906-9128","authenticated-orcid":false,"given":"Miguel","family":"Carvalho","sequence":"additional","affiliation":[{"name":"IEETA, DETI, LASI, Universidade de Aveiro, Aveiro, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4724-7468","authenticated-orcid":false,"given":"Teresa","family":"Pereira","sequence":"additional","affiliation":[{"name":"IEETA, DETI, LASI, Universidade de Aveiro, Aveiro, Portugal; Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Faculdade de Ci\u00eancias da Universidade de Lisboa, Campo Grande, Lisboa, Portugal and Instituto de Materiais de Aveiro (CICECO), Departamento de Engenharia de Materiais e Cer\u00e2mica, Universidade de Aveiro, Aveiro, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2600-0757","authenticated-orcid":false,"given":"Daniela","family":"Pais","sequence":"additional","affiliation":[{"name":"IEETA, DETI, LASI, Universidade de Aveiro, Aveiro, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5717-1415","authenticated-orcid":false,"given":"Raquel","family":"Sebasti\u00e3o","sequence":"additional","affiliation":[{"name":"IEETA, DETI, LASI, Universidade de Aveiro, Aveiro, Portugal and CISeD - Research Centre in Digital Services, Polytechnic University of Viseu, Campus Polit\u00e9cnico, Viseu, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8650-9219","authenticated-orcid":false,"given":"Susana","family":"Br\u00e1s","sequence":"additional","affiliation":[{"name":"IEETA, DETI, LASI, Universidade de Aveiro, Aveiro, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0025-863X","authenticated-orcid":false,"given":"Raquel","family":"Concei\u00e7\u00e3o","sequence":"additional","affiliation":[{"name":"Instituto de Biof\u00edsica e Engenharia Biom\u00e9dica, Faculdade de Ci\u00eancias da Universidade de Lisboa, Campo Grande, Lisboa, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1986-1348","authenticated-orcid":false,"given":"V\u00edtor","family":"Sencadas","sequence":"additional","affiliation":[{"name":"Instituto de Materiais de Aveiro (CICECO), Departamento de Engenharia de Materiais e Cer\u00e2mica, Universidade de Aveiro, Aveiro, Portugal"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,10,12]]},"reference":[{"key":"e_1_3_3_2_2_2","doi-asserted-by":"publisher","unstructured":"Sumair Aziz Calvin Joseph Niraj Hirachan Luke Murtagh Girija Chetty Roland Goecke and Raul Fernandez-Rojas. 2025. A two-stage architecture for identifying and locating the source of pain using novel multi-domain binary patterns of EDA. Biomedical Signal Processing and Control 104 (2025) 107454. 10.1016\/j.bspc.2024.107454","DOI":"10.1016\/j.bspc.2024.107454"},{"key":"e_1_3_3_2_3_2","doi-asserted-by":"publisher","unstructured":"Mathias Benedek and Christian Kaernbach. 2010. A continuous measure of phasic electrodermal activity. Journal of Neuroscience Methods 190 1 (2010) 80\u201391. 10.1016\/j.jneumeth.2010.04.028","DOI":"10.1016\/j.jneumeth.2010.04.028"},{"key":"e_1_3_3_2_4_2","doi-asserted-by":"publisher","unstructured":"Katherine Brand and Andrew Al-Rais. 2019. Pain assessment in children. Anaesthesia & Intensive Care Medicine 20 6 (2019) 314\u2013317. 10.1016\/j.mpaic.2019.03.003","DOI":"10.1016\/j.mpaic.2019.03.003"},{"key":"e_1_3_3_2_5_2","doi-asserted-by":"publisher","unstructured":"H. Breivik P.\u00a0C. Borchgrevink S.\u00a0M. Allen L.\u00a0A. Rosseland L. Romundstad E.\u00a0K. Breivik\u00a0Hals G. Kvarstein and A. Stubhaug. 2008. Assessment of pain. BJA: British Journal of Anaesthesia 101 1 (05 2008) 17\u201324. arXiv:https:\/\/academic.oup.com\/bja\/article-pdf\/101\/1\/17\/1024226\/aen103.pdf10.1093\/bja\/aen103","DOI":"10.1093\/bja\/aen103"},{"key":"e_1_3_3_2_6_2","doi-asserted-by":"publisher","unstructured":"Evan Campbell Angkoon Phinyomark and Erik Scheme. 2019. Feature Extraction and Selection for Pain Recognition Using Peripheral Physiological Signals. Frontiers in Neuroscience Volume 13 - 2019 (2019). 10.3389\/fnins.2019.00437","DOI":"10.3389\/fnins.2019.00437"},{"key":"e_1_3_3_2_7_2","doi-asserted-by":"publisher","unstructured":"Rich Caruana Alexandru Niculescu-Mizil Geoff Crew and Alex Ksikes. 2004. Ensemble Selection from Libraries of Models. 10.1145\/1015330.1015432","DOI":"10.1145\/1015330.1015432"},{"key":"e_1_3_3_2_8_2","doi-asserted-by":"publisher","unstructured":"R. Cowen M.\u00a0K. Stasiowska H. Laycock and C. Bantel. 2015. Assessing pain objectively: the use of physiological markers. Anaesthesia 70 7 (2015) 828\u2013847. 10.1111\/anae.13018","DOI":"10.1111\/anae.13018"},{"key":"e_1_3_3_2_9_2","doi-asserted-by":"crossref","unstructured":"Raul Fernandez\u00a0Rojas Niraj Hirachan Nicholas Brown Gordon Waddington Luke Murtagh Ben Seymour and Roland Goecke. 2023. Multimodal physiological sensing for the assessment of acute pain. Frontiers in Pain Research 4 (2023) 1150264.","DOI":"10.3389\/fpain.2023.1150264"},{"key":"e_1_3_3_2_10_2","doi-asserted-by":"publisher","DOI":"10.1109\/ACIIW63320.2024.00012"},{"key":"e_1_3_3_2_11_2","doi-asserted-by":"publisher","DOI":"10.1145\/3747327.3764791"},{"key":"e_1_3_3_2_12_2","doi-asserted-by":"publisher","unstructured":"Roger\u00a0B. Fillingim. 2017. Individual differences in pain: understanding the mosaic that makes pain persona. PAIN 158 (2017) S11\u2013S18. 10.1097\/j.pain.0000000000000775","DOI":"10.1097\/j.pain.0000000000000775"},{"key":"e_1_3_3_2_13_2","volume-title":"IASP terminology","author":"Pain\u00a0(IASP) International\u00a0Association for the Study\u00a0of","unstructured":"International\u00a0Association for the Study\u00a0of Pain\u00a0(IASP). [n. d.]. IASP terminology. https:\/\/www.iasp-pain.org\/resources\/terminology\/#pain"},{"key":"e_1_3_3_2_14_2","volume-title":"Pain Assessment and Measurements","author":"Pain\u00a0(IASP) International\u00a0Association for the Study\u00a0of","unstructured":"International\u00a0Association for the Study\u00a0of Pain\u00a0(IASP). [n. d.]. Pain Assessment and Measurements. https:\/\/www.iasp-pain.org\/resources\/topics\/pain-assessment-and-measurements\/"},{"key":"e_1_3_3_2_15_2","doi-asserted-by":"publisher","unstructured":"Karen Giuliano Robert Bilkovski John Beard and Sakari Lamminm\u00e4ki. 2023. Comparative analysis of signal accuracy of three SpO2 monitors during motion and low perfusion conditions. Journal of Clinical Monitoring and Computing 37 (06 2023) 1\u201311. 10.1007\/s10877-023-01029-x","DOI":"10.1007\/s10877-023-01029-x"},{"key":"e_1_3_3_2_16_2","doi-asserted-by":"publisher","unstructured":"Analita Gonzales Mohammad Mari Aladeen Alloubani Khetam Abusiam Thaer Momani and Laila Akhu-Zaheya. 2021. The impact of a standard pain assessment protocol on pain levels and consumption of analgesia among postoperative. International Journal of Orthopaedic and Trauma Nursing 43 (2021) 100841. 10.1016\/j.ijotn.2020.100841","DOI":"10.1016\/j.ijotn.2020.100841"},{"key":"e_1_3_3_2_17_2","doi-asserted-by":"publisher","unstructured":"Keela Herr Patrick\u00a0J. Coyne Margo McCaffery Renee Manworren and Sandra Merkel. 2011. Pain Assessment in the Patient Unable to Self-Report: Position Statement with Clinical Practice Recommendations. Pain Management Nursing 12 4 (2011) 230\u2013250. 10.1016\/j.pmn.2011.10.002","DOI":"10.1016\/j.pmn.2011.10.002"},{"key":"e_1_3_3_2_18_2","doi-asserted-by":"crossref","unstructured":"Noah Hollmann Samuel M\u00fcller Lennart Purucker Arjun Krishnakumar Max K\u00f6rfer Shi\u00a0Bin Hoo Robin\u00a0Tibor Schirrmeister and Frank Hutter. 2025. Accurate predictions on small data with a tabular foundation model. Nature 637 8045 (2025) 319\u2013326.","DOI":"10.1038\/s41586-024-08328-6"},{"key":"e_1_3_3_2_19_2","doi-asserted-by":"publisher","unstructured":"Jin\u00a0Hee Jang Won\u00a0Hee Park Hyo-In Kim and Sung\u00a0Ok Chang. 2020. Ways of Reasoning Used by Nurses in Postoperative Pain Assessment. Pain Management Nursing 21 4 (2020) 379\u2013385. 10.1016\/j.pmn.2019.09.008","DOI":"10.1016\/j.pmn.2019.09.008"},{"key":"e_1_3_3_2_20_2","doi-asserted-by":"publisher","unstructured":"Markus K\u00e4chele Mohammadreza Amirian Patrick Thiam Philipp Werner Steffen Walter G\u00fcnther Palm and Friedhelm Schwenker. 2017. Adaptive confidence learning for the personalization of pain intensity estimation systems. Evolving Systems 8 (03 2017). 10.1007\/s12530-016-9158-4","DOI":"10.1007\/s12530-016-9158-4"},{"key":"e_1_3_3_2_21_2","doi-asserted-by":"publisher","unstructured":"I-Mei Lin Sheng-Yu Fan Ye-Hsu Lu Chee-Siong Lee Kuan-Ta Wu and Hui-Jing Ji. 2015. Exploring the blood volume amplitude and pulse transit time during anger recall in patients with coronary artery disease. Journal of Cardiology 65 1 (2015) 50\u201356. 10.1016\/j.jjcc.2014.03.012","DOI":"10.1016\/j.jjcc.2014.03.012"},{"key":"e_1_3_3_2_22_2","volume-title":"Advances in Neural Information Processing Systems 32","author":"Paszke Adam","year":"2019","unstructured":"Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et\u00a0al. 2019. PyTorch: An Imperative Style, High-Performance Deep Learning Library. In Advances in Neural Information Processing Systems 32."},{"key":"e_1_3_3_2_23_2","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2016.7591347"},{"key":"e_1_3_3_2_24_2","doi-asserted-by":"publisher","unstructured":"Javier Pinzon-Arenas Youngsun Kong Ki Chon and Hugo Posada-Quintero. 2023. Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity. IEEE Journal of Biomedical and Health Informatics 27 (07 2023) 4250\u20134260. 10.1109\/JBHI.2023.3291955","DOI":"10.1109\/JBHI.2023.3291955"},{"key":"e_1_3_3_2_25_2","doi-asserted-by":"publisher","unstructured":"Esther\u00a0M. Pogatzki-Zahn Daniela Segelcke and Stephan A.2017. Postoperative pain\u2014from mechanisms to treatment. PAIN Reports 2 2 (2017) e588. 10.1097\/PR9.0000000000000588","DOI":"10.1097\/PR9.0000000000000588"},{"key":"e_1_3_3_2_26_2","doi-asserted-by":"publisher","unstructured":"Hugo Posada-Quintero Youngsun Kong and Ki Chon. 2021. Objective Pain Stimulation Intensity and Pain Sensation Assessment Using Machine Learning Classification and Regression Based on Electrodermal Activity. American Journal of Physiology-Regulatory Integrative and Comparative Physiology 321 (06 2021). 10.1152\/ajpregu.00094.2021","DOI":"10.1152\/ajpregu.00094.2021"},{"key":"e_1_3_3_2_27_2","doi-asserted-by":"publisher","unstructured":"Agnese Sbrollini Micaela Morettini Ennio Gambi and Laura Burattini. 2023. Identification of Respiration Types Through Respiratory Signal Derived From Clinical and Wearable Electrocardiograms. IEEE Open Journal of Engineering in Medicine and Biology 4 (2023) 268\u2013274. 10.1109\/OJEMB.2023.3343557","DOI":"10.1109\/OJEMB.2023.3343557"},{"key":"e_1_3_3_2_28_2","doi-asserted-by":"publisher","unstructured":"Patrick Thiam Hans Kestler and Friedhelm Schwenker. 2020. Multimodal Deep Denoising Convolutional Autoencoders for Pain Intensity Classification based on Physiological Signals. 289\u2013296. 10.5220\/0008896102890296","DOI":"10.5220\/0008896102890296"},{"key":"e_1_3_3_2_29_2","doi-asserted-by":"publisher","unstructured":"Dennis\u00a0C. Turk Roger\u00a0B. Fillingim Richard Ohrbach and Kushang\u00a0V. Patel. 2016. Assessment of Psychosocial and Functional Impact of Chronic Pain. The Journal of Pain 17 9 Supplement (2016) T21\u2013T49. 10.1016\/j.jpain.2016.02.006The ACTTION-American Pain Society Pain Taxonomy (AAPT) Multidimensional Framework for the Classification and Diagnosis of Chronic Pain.","DOI":"10.1016\/j.jpain.2016.02.006"},{"key":"e_1_3_3_2_30_2","volume-title":"Advances in Neural Information Processing Systems","author":"Vaswani Ashish","year":"2017","unstructured":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan\u00a0N Gomez, \u0141\u00a0ukasz Kaiser, and Illia Polosukhin. 2017. Attention is All you Need. In Advances in Neural Information Processing Systems , I.\u00a0Guyon, U.\u00a0Von Luxburg, S.\u00a0Bengio, H.\u00a0Wallach, R.\u00a0Fergus, S.\u00a0Vishwanathan, and R.\u00a0Garnett (Eds.), Vol.\u00a030. Curran Associates, Inc.https:\/\/proceedings.neurips.cc\/paper_files\/paper\/2017\/file\/3f5ee243547dee91fbd053c1c4a845aa-Paper.pdf"},{"key":"e_1_3_3_2_31_2","doi-asserted-by":"publisher","unstructured":"David\u00a0H. Wolpert. 1992. Stacked generalization. Neural Networks 5 2 (1992) 241\u2013259. 10.1016\/S0893-6080(05)80023-1","DOI":"10.1016\/S0893-6080(05)80023-1"},{"key":"e_1_3_3_2_32_2","doi-asserted-by":"publisher","unstructured":"Mingxin Yu Yichen Sun Bofei Zhu Lianqing Zhu Yingzi Lin Xiaoying Tang Yikang Guo Guangkai Sun and Mingli Dong. 2020. Diverse frequency band-based convolutional neural networks for tonic cold pain assessment using EEG. Neurocomputing 378 (2020) 270\u2013282. 10.1016\/j.neucom.2019.10.023","DOI":"10.1016\/j.neucom.2019.10.023"}],"event":{"name":"ICMI Companion '25: Companion Proceedings of the 27th International Conference on Multimodal Interaction","location":"Canberra Australia","acronym":"ICMI Companion '25","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Companion Proceedings of the 27th International Conference on Multimodal Interaction"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3747327.3764785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,16]],"date-time":"2025-12-16T21:08:40Z","timestamp":1765919320000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3747327.3764785"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10,12]]},"references-count":31,"alternative-id":["10.1145\/3747327.3764785","10.1145\/3747327"],"URL":"https:\/\/doi.org\/10.1145\/3747327.3764785","relation":{},"subject":[],"published":{"date-parts":[[2025,10,12]]},"assertion":[{"value":"2025-10-12","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}