{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,29]],"date-time":"2024-10-29T20:32:55Z","timestamp":1730233975820,"version":"3.28.0"},"reference-count":28,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T00:00:00Z","timestamp":1688601600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,7,6]],"date-time":"2023-07-06T00:00:00Z","timestamp":1688601600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,7,6]]},"DOI":"10.1109\/icccnt56998.2023.10307469","type":"proceedings-article","created":{"date-parts":[[2023,11,23]],"date-time":"2023-11-23T18:54:40Z","timestamp":1700765680000},"page":"1-6","source":"Crossref","is-referenced-by-count":0,"title":["Leveraging Multimodal Information in Speech Data for the Non-Invasive Detection of Alzheimer\u2019s Disease"],"prefix":"10.1109","author":[{"given":"Siddhant Bikram","family":"Shah","sequence":"first","affiliation":[{"name":"Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India"}]},{"given":"Aashish","family":"Bhandari","sequence":"additional","affiliation":[{"name":"Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India"}]},{"given":"Prashant Giridhar","family":"Shambharkar","sequence":"additional","affiliation":[{"name":"Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India"}]}],"member":"263","reference":[{"volume-title":"World alzheimer report 2020: Design, dignity, dementia: Dementia-related design and the built environment","year":"2020","author":"Zeisel","key":"ref1"},{"volume-title":"World Health Organization Report","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0197-4580(00)00183-4"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3233\/jad-150520"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICCCIS56430.2022.10037702"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/tcbb.2022.3219032"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-022-20674-x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2022.106240"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1001\/archneur.1994.00540180063015"},{"journal-title":"Ad-bert: Using pre-trained contextualized embeddings to predict the progression from mild cognitive impairment to alzheimer\u2019s disease","year":"2022","author":"Mao","key":"ref10"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijhcs.2021.102761"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/cercor\/bhac084"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-712"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2021-1220"},{"journal-title":"Robust speech recognition via large-scale weak supervision","year":"2022","author":"Radford","key":"ref15"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.25080\/majora-7b98e3ed-003"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3115\/1118108.1118117"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1186\/s13673-019-0192-7"},{"journal-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref19"},{"journal-title":"Roberta: A robustly optimized bert pretraining approach","year":"2019","author":"Liu","key":"ref20"},{"journal-title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter","year":"2019","author":"Sanh","key":"ref21"},{"journal-title":"Albert: A lite bert for self-supervised learning of language representations","year":"2019","author":"Lan","key":"ref22"},{"journal-title":"Very deep convolutional networks for large-scale image recognition","year":"2014","author":"Simonyan","key":"ref23"},{"key":"ref24","article-title":"Deep residual learning","volume":"7","author":"He","year":"2015","journal-title":"Image Recognition"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00476"},{"key":"ref27","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International conference on machine learning","author":"Radford"},{"key":"ref28","article-title":"Vilbert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks","volume-title":"Advances in Neural Information Processing Systems","volume":"32","author":"Lu","year":"2019"}],"event":{"name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","start":{"date-parts":[[2023,7,6]]},"location":"Delhi, India","end":{"date-parts":[[2023,7,8]]}},"container-title":["2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10306338\/10306339\/10307469.pdf?arnumber=10307469","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,14]],"date-time":"2024-03-14T01:59:22Z","timestamp":1710381562000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10307469\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,6]]},"references-count":28,"URL":"https:\/\/doi.org\/10.1109\/icccnt56998.2023.10307469","relation":{},"subject":[],"published":{"date-parts":[[2023,7,6]]}}}