{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T01:55:32Z","timestamp":1772934932516,"version":"3.50.1"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T00:00:00Z","timestamp":1765152000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,12,8]]},"DOI":"10.1109\/bigdata66926.2025.11402392","type":"proceedings-article","created":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T20:57:57Z","timestamp":1772830677000},"page":"1675-1684","source":"Crossref","is-referenced-by-count":0,"title":["Improving Causal Feasibility in Counterfactual Explanations for Multivariate Time Series Classification"],"prefix":"10.1109","author":[{"given":"Omar","family":"Bahri","sequence":"first","affiliation":[{"name":"Utah State University,Department of Computer Science,Logan,UT,84322"}]},{"given":"Peiyu","family":"Li","sequence":"additional","affiliation":[{"name":"Utah State University,Department of Computer Science,Logan,UT,84322"}]},{"given":"Pouya","family":"Hosseinzadeh","sequence":"additional","affiliation":[{"name":"Utah State University,Department of Computer Science,Logan,UT,84322"}]},{"given":"Souka\u00efna Filali","family":"Boubrahimi","sequence":"additional","affiliation":[{"name":"Utah State University,Department of Computer Science,Logan,UT,84322"}]},{"given":"Shah Muhammad","family":"Hamdi","sequence":"additional","affiliation":[{"name":"Utah State University,Department of Computer Science,Logan,UT,84322"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3063289"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511803161"},{"key":"ref3","article-title":"Preserving causal constraints in counterfactual explanations for machine learning classifiers","volume":"abs\/1912.03277","author":"Mahajan","year":"2019","journal-title":"CoRR"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2024.112200"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3447548.3467333"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20828"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i9.21192"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5220\/0010761500003116"},{"key":"ref9","article-title":"Algorithmic recourse under imperfect causal knowledge: a probabilistic approach","volume-title":"Proceedings of the 34th International Conference on Neural Information Processing Systems, ser. NIPS \u201920","author":"Karimi","year":"2020"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3442188.3445899"},{"key":"ref11","first-page":"10","article-title":"Neural relational inference for interacting systems","volume-title":"Proceedings of the 35th International Conference on Machine Learning, ser. Proceedings of Machine Learning Research","volume":"80","author":"Kipf","year":"2018"},{"key":"ref12","article-title":"Amortized causal discovery: Learning to infer causal graphs from time-series data","author":"L\u00f6we","year":"2022","journal-title":"Causal Learning and Reasoning (CLeaR)"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/bfb0013365"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-019-00619-1"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1137\/080716542"},{"key":"ref17","first-page":"650","article-title":"Interpretable Counterfactual Explanations Guided by Prototypes","volume":"12976 LNAI","author":"Van Looveren","year":"2019","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"key":"ref18","first-page":"32","article-title":"Instance-based Counterfactual Explanations for Time Series Classification","volume":"12877 LNAI","author":"Delaney","year":"2020","journal-title":"Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557663"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA55696.2022.00200"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-024-01028-9"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/BigData59044.2023.10386229"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/BigData62323.2024.10825642"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2008.17"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1162\/089976601750264965"}],"event":{"name":"2025 IEEE International Conference on Big Data (BigData)","location":"Macau, China","start":{"date-parts":[[2025,12,8]]},"end":{"date-parts":[[2025,12,11]]}},"container-title":["2025 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11400704\/11400712\/11402392.pdf?arnumber=11402392","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,7]],"date-time":"2026-03-07T07:20:40Z","timestamp":1772868040000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11402392\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,8]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/bigdata66926.2025.11402392","relation":{},"subject":[],"published":{"date-parts":[[2025,12,8]]}}}