{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:54:33Z","timestamp":1763060073481,"version":"3.45.0"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"3","license":[{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,3,1]],"date-time":"2025-03-01T00:00:00Z","timestamp":1740787200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62172295"],"award-info":[{"award-number":["62172295"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2025,3]]},"DOI":"10.1109\/tvcg.2024.3370654","type":"journal-article","created":{"date-parts":[[2024,2,28]],"date-time":"2024-02-28T13:53:29Z","timestamp":1709128409000},"page":"1802-1817","source":"Crossref","is-referenced-by-count":3,"title":["EvoVis: A Visual Analytics Method to Understand the Labeling Iterations in Data Programming"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-7678-4094","authenticated-orcid":false,"given":"Sisi","family":"Li","sequence":"first","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3466-4576","authenticated-orcid":false,"given":"Guanzhong","family":"Liu","sequence":"additional","affiliation":[{"name":"Netflix Inc, Los Gatos, USA"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6399-176X","authenticated-orcid":false,"given":"Tianxiang","family":"Wei","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6876-9180","authenticated-orcid":false,"given":"Shichao","family":"Jia","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0667-6744","authenticated-orcid":false,"given":"Jiawan","family":"Zhang","sequence":"additional","affiliation":[{"name":"College of Intelligence and Computing, Tianjin University, Tianjin, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE43902.2021.00046"},{"key":"ref2","first-page":"3574","article-title":"Data programming: Creating large training sets, quickly","volume-title":"Proc. Int. Conf. Neural Inf. Process. Syst.","author":"Ratner"},{"article-title":"A survey on programmatic weak supervision","year":"2022","author":"Zhang","key":"ref3"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1186\/s12911-018-0723-6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3209384"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2023.3326586"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2347736.2347755"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2021.3070863"},{"key":"ref9","first-page":"273","article-title":"Learning the structure of generative models without labeled data","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Bach"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33014763"},{"key":"ref11","first-page":"6418","article-title":"Learning dependency structures for weak supervision models","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Varma"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.14778\/3291264.3291268"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1175"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.181"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3442442.3458602"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3012063"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2816223"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/s00371-022-02648-2"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3290605.3300460"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2021.3114793"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864843"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445165"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.14778\/3157794.3157797"},{"key":"ref24","first-page":"4","article-title":"Interactive programmatic labeling for weak supervision","volume-title":"Proc. ACM SIGKDD Conf. Knowl. Discov. Data Mining Workshop Data Collection Curation Labeling Workshop","author":"Cohen-Wang"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2022.3209466"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3313831.3376177"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/VIS47514.2020.00065"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/PacificVis52677.2021.00032"},{"key":"ref29","first-page":"1659","article-title":"Universal dependencies v1: A multilingual treebank collection","volume-title":"Proc. 10th Int. Conf. Lang. Resour. Eval.","author":"Nivre"},{"volume-title":"Fundamentals of Machine Learning for Predictive Data Analytics: Algorithms Worked Examples, and Case Studies","year":"2015","author":"Kelleher","key":"ref30"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.580"},{"key":"ref32","first-page":"77","article-title":"Gender shades: Intersectional accuracy disparities in commercial gender classification","volume-title":"Proc. Conf. Fairness Accountability Transparency","author":"Buolamwini"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1111\/j.1530-9290.2008.00015.x"},{"article-title":"CodeMirror: A versatile text editor implemented in JavaScript for the browser","year":"2023","author":"Haverbeke","key":"ref34"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744184"},{"key":"ref36","first-page":"4171","article-title":"BERT: Pre-training of deep bidirectional transformers for language understanding","volume-title":"Proc. Conf. North Amer. Chapter Assoc. Comput. Linguistics: Hum. Lang. Technol.","author":"Devlin"},{"key":"ref37","first-page":"1094","volume-title":"Principal Component Analysis","author":"Jolliffe","year":"2011"},{"key":"ref38","first-page":"2579","article-title":"Visualizing data using t-SNE","volume-title":"J. Mach. Learn. Res.","volume":"9","author":"van der Maaten","year":"2008"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/INFVIS.2002.1173151"},{"key":"ref40","first-page":"649","article-title":"Character-level convolutional networks for text classification","volume-title":"Proc. 28th Int. Conf. Neural Inf. Process. Syst.","author":"Zhang"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10858457\/10452847.pdf?arnumber=10452847","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T18:43:47Z","timestamp":1763059427000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10452847\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,3]]},"references-count":40,"journal-issue":{"issue":"3"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2024.3370654","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"type":"print","value":"1077-2626"},{"type":"electronic","value":"1941-0506"},{"type":"electronic","value":"2160-9306"}],"subject":[],"published":{"date-parts":[[2025,3]]}}}