{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T20:10:10Z","timestamp":1778703010132,"version":"3.51.4"},"reference-count":32,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["ADIAN"],"award-info":[{"award-number":["ADIAN"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["IT1437-22"],"award-info":[{"award-number":["IT1437-22"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["BIKAINTEK"],"award-info":[{"award-number":["BIKAINTEK"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["027-B2\/2023"],"award-info":[{"award-number":["027-B2\/2023"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["HAZITEK"],"award-info":[{"award-number":["HAZITEK"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["ZE-2023\/00029"],"award-info":[{"award-number":["ZE-2023\/00029"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"DOI":"10.13039\/501100003086","name":"Basque Government","doi-asserted-by":"crossref","award":["PID2021-123087OB-I00"],"award-info":[{"award-number":["PID2021-123087OB-I00"]}],"id":[{"id":"10.13039\/501100003086","id-type":"DOI","asserted-by":"crossref"}]},{"name":"ERDF A way of making Europe"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2026]]},"DOI":"10.1109\/lsp.2026.3682985","type":"journal-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T19:39:49Z","timestamp":1776109189000},"page":"1796-1800","source":"Crossref","is-referenced-by-count":0,"title":["Data-Centric Pruning and Region-Weighted Loss for Robust Gaze Vector Estimation"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1357-6135","authenticated-orcid":false,"given":"Alejandro Garc\u00eda","family":"de la Santa","sequence":"first","affiliation":[{"name":"University of the Basque Country, Donostia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-1214-8546","authenticated-orcid":false,"given":"Adri\u00e1n","family":"Carrizo-P\u00e9rez","sequence":"additional","affiliation":[{"name":"Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Donostia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-3277-8033","authenticated-orcid":false,"given":"Ane","family":"Zulaika","sequence":"additional","affiliation":[{"name":"Mondragon Unibertsitatea, Mondragon, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1303-6526","authenticated-orcid":false,"given":"Francisco J.","family":"Iriarte","sequence":"additional","affiliation":[{"name":"Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Donostia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5648-0910","authenticated-orcid":false,"given":"Luis","family":"Unzueta","sequence":"additional","affiliation":[{"name":"Fundación Vicomtech, Basque Research and Technology Alliance (BRTA), Donostia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9246-3736","authenticated-orcid":false,"given":"I\u00f1igo","family":"Perona","sequence":"additional","affiliation":[{"name":"University of the Basque Country, Donostia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2453-9521","authenticated-orcid":false,"given":"Jose Luis","family":"Jodra","sequence":"additional","affiliation":[{"name":"University of the Basque Country, Donostia, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9822-2530","authenticated-orcid":false,"given":"Arantxa","family":"Villanueva","sequence":"additional","affiliation":[{"name":"Public University of Navarre, Pamplona, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/tcsvt.2026.3651198"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00859"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1080\/10447318.2024.2399873"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-024-73643-x"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.239"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0480"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01249-6_21"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58558-7_22"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58610-2_44"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00701"},{"key":"ref11","first-page":"20596","article-title":"Deep learning on a data diet: Finding important examples early in training","volume-title":"Proc. 35th Int. Conf. Neural Inf. Process. Syst.","author":"Paul","year":"2021"},{"key":"ref12","first-page":"20331","article-title":"Early-learning regularization prevents memorization of noisy labels","volume-title":"Proc. 34th Int. Conf. Neural Inf. Process. Syst.","volume":"33","author":"Liu","year":"2020"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1613\/jair.1.12125"},{"key":"ref14","first-page":"19523","article-title":"Beyond neural scaling laws: Beating power law scaling via data pruning","volume-title":"Proc. 36th Int. Conf. Neural Inf. Process. Syst.","author":"Sorscher","year":"2022"},{"key":"ref15","article-title":"Active learning for convolutional neural networks: A core-set approach","volume-title":"Proc. 6th Int. Conf. Learn. Representations","author":"Sener","year":"2018"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01100"},{"key":"ref17","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"Proc. 38th Int. Conf. Mach. Learn.","volume":"139","author":"Radford","year":"2021"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i6.20610"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.acl-long.1595"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i6.28368"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00985"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52734.2025.01261"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICFSP59764.2023.10372944"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2023.3332569"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.00140"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00095"},{"key":"ref27","article-title":"Data-centric pruning pipeline for robust gaze vector estimation: Relabelled GazeCapture subset","author":"de la Santa","year":"2025","journal-title":"IEEE Dataport"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/3649902.3656367"},{"key":"ref29","article-title":"FiftyOne: A tool for rapid data and model experimentation","author":"Moore","year":"2020"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00474"},{"key":"ref31","article-title":"DINOv3","author":"Simoni","year":"2025"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3390\/s21155109"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/11304147\/11479804.pdf?arnumber=11479804","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,13]],"date-time":"2026-05-13T19:53:34Z","timestamp":1778702014000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11479804\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/lsp.2026.3682985","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]}}}