{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,8]],"date-time":"2026-07-08T16:18:36Z","timestamp":1783527516367,"version":"3.55.0"},"reference-count":34,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"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, Joint Fund for Innovative Enterprise Development","doi-asserted-by":"publisher","award":["U23B2061"],"award-info":[{"award-number":["U23B2061"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Intell. Transport. Syst."],"published-print":{"date-parts":[[2024,10]]},"DOI":"10.1109\/tits.2024.3393634","type":"journal-article","created":{"date-parts":[[2024,5,6]],"date-time":"2024-05-06T17:46:22Z","timestamp":1715017582000},"page":"14905-14916","source":"Crossref","is-referenced-by-count":13,"title":["SVCE: Shapley Value Guided Counterfactual Explanation for Machine Learning-Based Autonomous Driving"],"prefix":"10.1109","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7313-0277","authenticated-orcid":false,"given":"Meng","family":"Li","sequence":"first","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hengyang","family":"Sun","sequence":"additional","affiliation":[{"name":"Clean Energy Automotive Engineering Center, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3133-8031","authenticated-orcid":false,"given":"Yanjun","family":"Huang","sequence":"additional","affiliation":[{"name":"Clean Energy Automotive Engineering Center, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1724-8649","authenticated-orcid":false,"given":"Hong","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Control Science and Engineering, Tongji University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-021-04357-7"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-023-05732-2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2023.3266196"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TIV.2022.3167103"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2020.106685"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3063289"},{"key":"ref7","article-title":"Counterfactual explanations for machine learning: Challenges revisited","author":"Verma","year":"2021","journal-title":"arXiv:2106.07756"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.320"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3122865"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2021.06.030"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC57777.2023.10422102"},{"key":"ref12","first-page":"1","article-title":"This looks like that: Deep learning for interpretable image recognition","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"32","author":"Chen"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00920"},{"key":"ref14","article-title":"To explain or not to explain: A study on the necessity of explanations for autonomous vehicles","author":"Shen","year":"2020","journal-title":"arXiv:2006.11684"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3027314"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01657-x"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3334480.3382986"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2021.3119110"},{"key":"ref21","first-page":"4778","article-title":"Causal Shapley values: Exploiting causal knowledge to explain individual predictions of complex models","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"33","author":"Heskes"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.ast.2021.107052"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-021-87762-2"},{"key":"ref24","article-title":"Combining counterfactuals with Shapley values to explain image models","author":"Lahiri","year":"2022","journal-title":"arXiv:2206.07087"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s11634-020-00418-3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1201\/9781351241410"},{"key":"ref27","first-page":"1","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"30","author":"Lundberg"},{"key":"ref28","first-page":"1","article-title":"CARLA: An open urban driving simulator","volume-title":"Proc. 1st Annu. Conf. Robot Learn.","volume":"78","author":"Dosovitskiy"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2016.2606492"},{"issue":"268","key":"ref30","first-page":"12348","article-title":"Stable-baselines3: Reliable reinforcement learning implementations","volume":"22","author":"Raffin","year":"2021","journal-title":"J. Mach. Learn. Res."},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ITSC.2018.8569552"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/3351095.3372850"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/CVCI59596.2023.10397271"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.3141\/1999-10"}],"container-title":["IEEE Transactions on Intelligent Transportation Systems"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6979\/10705407\/10521560.pdf?arnumber=10521560","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,11]],"date-time":"2024-12-11T02:46:32Z","timestamp":1733885192000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10521560\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":34,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tits.2024.3393634","relation":{},"ISSN":["1524-9050","1558-0016"],"issn-type":[{"value":"1524-9050","type":"print"},{"value":"1558-0016","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,10]]}}}