{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T17:14:53Z","timestamp":1778778893610,"version":"3.51.4"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100004837","name":"Ministerio de Ciencia e Innovaci?n","doi-asserted-by":"publisher","award":["PID2019-105142RB-C22"],"award-info":[{"award-number":["PID2019-105142RB-C22"]}],"id":[{"id":"10.13039\/501100004837","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100011011","name":"Junta de Andaluc?a","doi-asserted-by":"publisher","award":["P20_00286"],"award-info":[{"award-number":["P20_00286"]}],"id":[{"id":"10.13039\/501100011011","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2023]]},"DOI":"10.1109\/access.2023.3237990","type":"journal-article","created":{"date-parts":[[2023,1,18]],"date-time":"2023-01-18T18:40:50Z","timestamp":1674067250000},"page":"6922-6934","source":"Crossref","is-referenced-by-count":22,"title":["Deep Gaussian Processes for Classification With Multiple Noisy Annotators. Application to Breast Cancer Tissue Classification"],"prefix":"10.1109","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2965-0624","authenticated-orcid":false,"given":"Miguel","family":"Lopez-Perez","sequence":"first","affiliation":[{"name":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Pablo","family":"Morales-Alvarez","sequence":"additional","affiliation":[{"name":"Department of Statistics and Operations Research, University of Granada, Granada, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lee A. D.","family":"Cooper","sequence":"additional","affiliation":[{"name":"Department of Pathology, Northwestern University, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4694-8588","authenticated-orcid":false,"given":"Rafael","family":"Molina","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Artificial Intelligence, University of Granada, Granada, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aggelos K.","family":"Katsaggelos","sequence":"additional","affiliation":[{"name":"Center for Computational Imaging and Signal Analytics, Northwestern University, Chicago, IL, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3021557"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3056516"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101813"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3072231"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1038\/s41551-020-00682-w"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102474"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-90821-3"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101759"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102462"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-16-4177-0_9"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2022.101632"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/gigascience\/giac037"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528120"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v32i1.11506"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2018.11.021"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.110183"},{"key":"ref17","volume-title":"Deep Learning","author":"Goodfellow","year":"2016"},{"key":"ref18","volume-title":"Gaussian Processes for Machine Learning","volume":"2","author":"Williams","year":"2006"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2020.3025390"},{"key":"ref20","first-page":"4588","article-title":"Doubly stochastic variational inference for deep Gaussian processes","volume-title":"Proc. Adv. Neural Inf. Process. Syst. (NIPS)","author":"Salimbeni"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.isprsjprs.2020.04.014"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btz083"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cell.2018.03.042"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-022-01701-9"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2021.3082496"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2022.05.066"},{"key":"ref27","first-page":"1297","article-title":"Learning from crowds","volume":"11","author":"Raykar","year":"2010","journal-title":"J. Mach. Learn. Res."},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2018.09.005"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.07.003"},{"issue":"1","key":"ref30","first-page":"1299","article-title":"GPflow: A Gaussian process library using tensorflow","volume":"18","author":"Matthews","year":"2017","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2648786"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2018.12.008"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2018.2889774"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3176091"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/38.946629"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/10005208\/10019276.pdf?arnumber=10019276","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T07:55:33Z","timestamp":1707810933000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10019276\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/access.2023.3237990","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023]]}}}