{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,9]],"date-time":"2026-03-09T11:54:48Z","timestamp":1773057288741,"version":"3.50.1"},"reference-count":36,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T00:00:00Z","timestamp":1666051200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100002322","name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior - Brazil (CAPES)","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002322","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,18]]},"DOI":"10.1109\/acii55700.2022.9953811","type":"proceedings-article","created":{"date-parts":[[2022,11,25]],"date-time":"2022-11-25T22:41:10Z","timestamp":1669416070000},"page":"1-8","source":"Crossref","is-referenced-by-count":7,"title":["Detecting Depression from Social Media Data as a Multiple-Instance Learning Task"],"prefix":"10.1109","author":[{"given":"Paulo","family":"Mann","sequence":"first","affiliation":[{"name":"Institute of Computing Universidade Federal Fluminense,Niter&#x00F3;i,Brazil"}]},{"given":"Elton H.","family":"Matsushima","sequence":"additional","affiliation":[{"name":"Universidade Federal Fluminense,Department of Psychology,Niter&#x00F3;i,Brazil"}]},{"given":"Aline","family":"Paes","sequence":"additional","affiliation":[{"name":"Institute of Computing Universidade Federal Fluminense,Niter&#x00F3;i,Brazil"}]}],"member":"263","reference":[{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.08.026"},{"key":"ref32","first-page":"5998","article-title":"Attention is all you need","author":"vaswani","year":"2017","journal-title":"Advances in Neural Information Processing Systems 30 Annual Conference on Neural Information Processing Systems 2017"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/IC4ME247184.2019.9036528"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702280"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1322"},{"key":"ref35","article-title":"Multi-graph transformer for free-hand sketch recognition","author":"xu","year":"2019","journal-title":"ArXiv Preprint"},{"key":"ref34","year":"2017","journal-title":"Depression and other common mental disorders global health estimates"},{"key":"ref10","article-title":"Manual do invent&#x00E1;rio de depress&#x00E3;o de beck-bdi-ii, s&#x00E3;o Paulo","author":"gorenstein","year":"2011","journal-title":"Editora Casa do Psic&#x00F3;logo"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86383-8_35"},{"key":"ref12","article-title":"Gaussian error linear units (gelus)","author":"hendrycks","year":"2016","journal-title":"ArXiv Preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref14","first-page":"4475","article-title":"Improving transformer optimization through better initialization","author":"shi huang","year":"2020","journal-title":"ICML"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.298"},{"key":"ref16","first-page":"2132","article-title":"Attention-based deep multiple instance learning","volume":"80","author":"ilse","year":"2018","journal-title":"Proceedings of the 35th International Conference on Machine Learning ICML 2018"},{"key":"ref17","article-title":"Decoupled weight decay regular-ization","author":"loshchilov","year":"2019","journal-title":"7th International Conference on Learning Representations ICLR 2019"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICAIS50930.2021.9395943"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v14i1.7313"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-2074"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2013.50"},{"key":"ref27","first-page":"6111","article-title":"Searching brazilian twitter for signs of mental health issues","author":"santos","year":"2020","journal-title":"LREC"},{"key":"ref3","article-title":"Beck depression inventory-ii","author":"beck","year":"1996","journal-title":"Psychological Assessment"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/icwsm.v7i1.14432"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-61377-8_28"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2017.10.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/S0004-3702(96)00034-3"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1590\/S0047-20852006000400001"},{"key":"ref2","year":"2013","journal-title":"Diagnostic and statistical manual of mental disorders (DSM-IVTR)"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1038\/nbt.4089"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N19-1151"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(09)60879-5"},{"key":"ref22","first-page":"8024","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"Advances in NIPS 32"},{"key":"ref21","first-page":"88","article-title":"Deep learning for depression detection of twitter users","author":"orabi","year":"0","journal-title":"Proc of the 5th CLPsych"},{"key":"ref24","first-page":"1","article-title":"Instagram photos reveal predictive markers of depression","volume":"6","author":"reece","year":"2017","journal-title":"EPJ Data Science"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1177\/014662167700100306"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1080\/02699930441000030"},{"key":"ref25","first-page":"7","article-title":"Predicting de-pression in screening interviews from latent categorization of interview prompts","author":"rinaldi","year":"0","journal-title":"Proc of the 58th ACL"}],"event":{"name":"2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)","location":"Nara, Japan","start":{"date-parts":[[2022,10,18]]},"end":{"date-parts":[[2022,10,21]]}},"container-title":["2022 10th International Conference on Affective Computing and Intelligent Interaction (ACII)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9953736\/9953807\/09953811.pdf?arnumber=9953811","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,12,19]],"date-time":"2022-12-19T20:03:52Z","timestamp":1671480232000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9953811\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,18]]},"references-count":36,"URL":"https:\/\/doi.org\/10.1109\/acii55700.2022.9953811","relation":{},"subject":[],"published":{"date-parts":[[2022,10,18]]}}}