{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T18:34:11Z","timestamp":1775241251784,"version":"3.50.1"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"Region Occitanie"},{"name":"SIRIC Montpellier Cancer","award":["INCa_Inserm_DGOS_12553"],"award-info":[{"award-number":["INCa_Inserm_DGOS_12553"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Visual. Comput. Graphics"],"published-print":{"date-parts":[[2023,10,1]]},"DOI":"10.1109\/tvcg.2022.3184247","type":"journal-article","created":{"date-parts":[[2022,6,20]],"date-time":"2022-06-20T20:24:18Z","timestamp":1655756658000},"page":"4154-4171","source":"Crossref","is-referenced-by-count":13,"title":["EBBE-Text: Explaining Neural Networks by Exploring Text Classification Decision Boundaries"],"prefix":"10.1109","volume":"29","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7255-8295","authenticated-orcid":false,"given":"Alexis","family":"Delaforge","sequence":"first","affiliation":[{"name":"LIRMM, CNRS, University of Montpellier, Montpellier, France"}]},{"given":"J\u00e9r\u00f4me","family":"Az\u00e9","sequence":"additional","affiliation":[{"name":"LIRMM, CNRS, University of Montpellier, Montpellier, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2830-3666","authenticated-orcid":false,"given":"Sandra","family":"Bringay","sequence":"additional","affiliation":[{"name":"LIRMM, AMIS research group of the Paul Valéry, CNRS, University of Montpellier, Montpellier, France"}]},{"given":"Caroline","family":"Mollevi","sequence":"additional","affiliation":[{"name":"ICM, IDESP, INSERM, University of Montpellier, Montpellier, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7068-176X","authenticated-orcid":false,"given":"Arnaud","family":"Sallaberry","sequence":"additional","affiliation":[{"name":"LIRMM, AMIS research group of the Paul Valéry, CNRS, University of Montpellier, Montpellier, France"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9426-2583","authenticated-orcid":false,"given":"Maximilien","family":"Servajean","sequence":"additional","affiliation":[{"name":"LIRMM, AMIS research group of the Paul Valéry, CNRS, University of Montpellier, Montpellier, France"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/cgf.14034"},{"key":"ref2","first-page":"169","article-title":"Ebbe-text : Visualisation de la fronti\u00e8re de d\u00e9cision des r\u00e9seaux de neurones en classification automatique de textes","volume":"E-37","author":"Delaforge","year":"2021","journal-title":"Revue des Nouvelles Technol. de l\u2019Information"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2843369"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3236009"},{"key":"ref5","article-title":"Towards transparent AI systems: Interpreting visual question answering models","author":"Goyal","year":"2016"},{"key":"ref6","article-title":"Striving for simplicity: The all convolutional net","author":"Springenberg","year":"2015","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref8","article-title":"SmoothGrad: Removing noise by adding noise","author":"Smilkov","year":"2017","journal-title":"Proc. 34th Int. Conf. Mach. Learn."},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/BF02309007"},{"key":"ref10","article-title":"Visualizing and understanding recurrent networks","author":"Karpathy","year":"2016","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref11","article-title":"Understanding neural networks through representation erasure","author":"Li","year":"2016"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1146\/annurev.neuro.26.041002.131047"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W18-5431"},{"key":"ref15","article-title":"Adding interpretable attention to neural translation models improves word alignment","author":"Zenkel","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3219819.3220051"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-3007"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4828"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/W19-4808"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-demos.22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3028976"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.acl-demo.16"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1310.4546"},{"key":"ref24","article-title":"Embedding projector: Interactive visualization and interpretation of embeddings","volume":"26","author":"Smilkov","year":"2016","journal-title":"Proc. Adv. Neural Inf. Process. Syst."},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1080\/14786440109462720"},{"issue":"86","key":"ref26","first-page":"2579","article-title":"Visualizing data using T-SNE","volume":"9","author":"van der Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref27","article-title":"UMAP: Uniform manifold approximation and projection for dimension reduction","author":"McInnes","year":"2018"},{"key":"ref28","article-title":"Visualization for classification in deep neural networks","author":"Chae","year":"2017","journal-title":"Proc. Workshop Vis. Analytics Deep Learn."},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/2702123.2702509"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744718"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744358"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-013-0342-x"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/ISKE.2008.4730945"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3390\/info10090280"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1023\/A:1013968124284"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2865044"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2017.2744158"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2010.181"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2012.277"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2864499"},{"key":"ref41","first-page":"5351","article-title":"Topological data analysis of decision boundaries with application to model selection","volume-title":"Proc. 36th Int. Conf. Mach. Learn.","author":"Ramamurthy"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2020.3011155"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.3390\/make3030032"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-28954-6_10"},{"key":"ref46","first-page":"1467","article-title":"Closing the loop: Fast, interactive semi-supervised annotation with queries on features and instances","volume-title":"Proc. ACL Conf. Empir. Methods Natural Lang. Process.","author":"Settles"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3319616"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/388"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1145\/3236386.3241340"},{"key":"ref50","first-page":"1","article-title":"Explainable artificial intelligence the new frontier in legal informatics","volume":"4","author":"Waltl","year":"2018","journal-title":"Jusletter IT"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3559477"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1177\/1473871620904671"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/DSAA.2018.00018"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1080\/0022250X.2001.9990249"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1179\/000870403235002042"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1016\/0005-2795(75)90109-9"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.2307\/2333709"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1016\/j.cor.2007.03.001"},{"key":"ref59","article-title":"A new heuristic algorithm for the linear arrangement problem","author":"Mcallister","year":"1999"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/w14-3110"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1080\/14786440009463897"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1007\/BF01840357"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1109\/TVCG.2018.2865146"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/2872427.2883037"},{"key":"ref65","article-title":"A structured self-attentive sentence embedding","author":"Lin","year":"2017","journal-title":"Proc. Int. Conf. Learn. Representations"},{"key":"ref66","doi-asserted-by":"publisher","DOI":"10.1002\/spy2.9"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-69155-8_9"},{"issue":"8","key":"ref68","article-title":"Language models are unsupervised multitask learners","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI Blog"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.3390\/computers5010001"},{"key":"ref70","first-page":"1183","article-title":"Deep Bayesian active learning with image data","volume-title":"Proc. 34th Int. Conf. Mach. Learn.","author":"Gal"},{"key":"ref71","article-title":"Active learning for convolutional neural networks: A core-set approach","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Sener"},{"key":"ref72","article-title":"Active learning literature survey","author":"Settles","year":"2009"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1066"}],"container-title":["IEEE Transactions on Visualization and Computer Graphics"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/2945\/10237330\/09801527.pdf?arnumber=9801527","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T04:24:32Z","timestamp":1716870272000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9801527\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":73,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tvcg.2022.3184247","relation":{},"ISSN":["1077-2626","1941-0506","2160-9306"],"issn-type":[{"value":"1077-2626","type":"print"},{"value":"1941-0506","type":"electronic"},{"value":"2160-9306","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,10,1]]}}}