{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T12:27:45Z","timestamp":1777984065411,"version":"3.51.4"},"reference-count":40,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"name":"Technological University Dublin as part of a Ph.D. Research Project"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/access.2025.3625442","type":"journal-article","created":{"date-parts":[[2025,10,27]],"date-time":"2025-10-27T18:05:43Z","timestamp":1761588343000},"page":"185218-185232","source":"Crossref","is-referenced-by-count":0,"title":["LOMATCE: LOcal Model-Agnostic Time Series Classification Explanations"],"prefix":"10.1109","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0009-3035-3441","authenticated-orcid":false,"given":"Ephrem Tibebe","family":"Mekonnen","sequence":"first","affiliation":[{"name":"School of Computer Science, Technological University Dublin, Dublin 7, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2718-5426","authenticated-orcid":false,"given":"Luca","family":"Longo","sequence":"additional","affiliation":[{"name":"School of Computer Science, Technological University Dublin, Dublin 7, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7874-8762","authenticated-orcid":false,"given":"Pierpaolo","family":"Dondio","sequence":"additional","affiliation":[{"name":"School of Computer Science, Technological University Dublin, Dublin 7, Ireland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1088\/1757-899X\/569\/5\/052037"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2021.103228"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2020.3022989"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/s21051636"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2019.2911295"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2021.717899"},{"key":"ref7","first-page":"85","article-title":"A comparative analysis of rule-based, model-agnostic methods for explainable artificial intelligence","volume-title":"Proc. 28th Irish Conf. Artif. Intell. Cognit. Sci.","author":"Vilone"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2024.102301"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3207765"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-022-10304-3"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TAI.2023.3266418"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N16-3020"},{"key":"ref13","first-page":"3418","article-title":"Limesegment: Meaningful, realistic time series explanations","volume-title":"Proc. Int. Conf. Artif. Intell. Statist.","author":"Sivill"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2021.104393"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ICTAI.2019.00067"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-93736-2_1"},{"key":"ref17","article-title":"Explainable artificial intelligence (XAI) on timeseries data: A survey","author":"Rojat","year":"2021","journal-title":"arXiv:2104.00950"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-019-01228-7"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICCVW.2019.00516"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0130140"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2024.110309"},{"key":"ref23","first-page":"4765","article-title":"A unified approach to interpreting model predictions","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","author":"Lundberg"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CogMI50398.2020.00029"},{"key":"ref25","volume-title":"Temporal Classification: Extending the Classification Paradigm To Multivariate Time Series","author":"Kadous","year":"2002"},{"key":"ref26","first-page":"65","article-title":"Interpreting black-box time series classifiers using parameterised event primitives","volume":"3793","author":"Mekonnen","year":"2024","journal-title":"XAI-2024 Late-breaking Work, Demos & Doctoral Consortium Joint Proc., CEUR Workshop"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3233\/IDA-2007-11508"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.1959.1104847"},{"key":"ref29","first-page":"211","article-title":"Lime and neighbourhood","volume-title":"Limitations of Interpretable Machine Learning Methods","author":"Kopper","year":"2020"},{"key":"ref30","first-page":"454","article-title":"Learning comprehensible descriptions of multivariate time series","volume-title":"Proc. ICML","author":"Kadous"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.3389\/frai.2024.1381921"},{"key":"ref32","first-page":"71","article-title":"Explaining deep learning time series classification models using a decision tree-based post-hoc xai method","volume-title":"Proc. XAI (Late-Breaking Work, Demos, Doctoral Consortium)","author":"Mekonnen"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/JAS.2019.1911747"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2017.7966039"},{"key":"ref35","volume-title":"TSAI\u2014A State-of-the-art Deep Learning Library for Time Series and Sequential Data","author":"Oguiza","year":"2022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-86957-1_3"},{"key":"ref37","first-page":"3319","article-title":"Axiomatic attribution for deep networks","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Sundararajan"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-44070-0_9"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1145\/3511808.3557418"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.foodchem.2010.11.132"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10820123\/11216415.pdf?arnumber=11216415","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,11,4]],"date-time":"2025-11-04T05:58:39Z","timestamp":1762235919000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11216415\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":40,"URL":"https:\/\/doi.org\/10.1109\/access.2025.3625442","relation":{"has-preprint":[{"id-type":"doi","id":"10.36227\/techrxiv.174181870.03954850\/v2","asserted-by":"object"},{"id-type":"doi","id":"10.36227\/techrxiv.174181870.03954850\/v1","asserted-by":"object"}]},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}