{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T23:20:40Z","timestamp":1777936840933,"version":"3.51.4"},"publisher-location":"Cham","reference-count":19,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783031965586","type":"print"},{"value":"9783031965593","type":"electronic"}],"license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025]]},"DOI":"10.1007\/978-3-031-96559-3_13","type":"book-chapter","created":{"date-parts":[[2025,6,29]],"date-time":"2025-06-29T07:14:03Z","timestamp":1751181243000},"page":"189-203","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Evaluating Objective Metrics for\u00a0Time Series Model Explainability"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2173-1422","authenticated-orcid":false,"given":"Jesus M.","family":"Darias","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2818-027X","authenticated-orcid":false,"given":"Bel\u00e9n","family":"D\u00edaz-Agudo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8731-6195","authenticated-orcid":false,"given":"Juan A.","family":"Recio-Garcia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,6,23]]},"reference":[{"key":"13_CR1","doi-asserted-by":"crossref","unstructured":"Bhatt, U., Weller, A., Moura, J.M.F.: Evaluating and Aggregating Feature-based Model Explanations (2020)","DOI":"10.24963\/ijcai.2020\/417"},{"key":"13_CR2","doi-asserted-by":"publisher","unstructured":"Caro-Mart\u00ednez, M., Darias, J.M., D\u00edaz-Agudo, B., Recio-Garc\u00eda, J.A.: Use case-specific reuse of XAI strategies: design and analysis through an evaluation metrics library. In: Recio-Garc\u00eda, J.A., Orozco-del-Castillo, M.G., Bridge, D. (eds.) Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, 1\u20134 July 2024, Proceedings. Lecture Notes in Computer Science, vol. 14775, pp. 81\u201395. Springer (2024). https:\/\/doi.org\/10.1007\/978-3-031-63646-2_6","DOI":"10.1007\/978-3-031-63646-2_6"},{"key":"13_CR3","doi-asserted-by":"publisher","unstructured":"Darias, J.M., Bayrak, B., Caro-Mart\u00ednez, M., D\u00edaz-Agudo, B., Recio-Garc\u00eda, J.A.: An empirical analysis of user preferences regarding XAI metrics. In: Recio-Garc\u00eda, J., Orozco-del-Castillo, M., Bridge, D. (eds.) Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, 1\u20134 July 2024, Proceedings. Lecture Notes in Computer Science, vol. 14775, pp. 96\u2013110. Springer (2024). https:\/\/doi.org\/10.1007\/978-3-031-63646-2_7","DOI":"10.1007\/978-3-031-63646-2_7"},{"key":"13_CR4","unstructured":"Darias, J.M., D\u00edaz-Agudo, B., Recio-Garc\u00eda, J.A.: A systematic review on model-agnostic XAI libraries. In: Borck, H., Eisenstadt, V., S\u00e1nchez-Ruiz, A., Floyd, M. (eds.) Workshops Proceedings for the (ICCBR 2021), Salamanca (Spain)\/Online, 13\u201316 September 2021. CEUR Workshop Proceedings, vol.\u00a03017, pp. 28\u201339. CEUR-WS.org (2021). https:\/\/ceur-ws.org\/Vol-3017\/96.pdf"},{"key":"13_CR5","doi-asserted-by":"crossref","unstructured":"Donoso-Guzm\u00e1n, I., Ooge, J., Parra, D., Verbert, K.: Towards a Comprehensive Human-Centred Evaluation Framework for Explainable AI (2023). https:\/\/arxiv.org\/abs\/2308.06274","DOI":"10.1007\/978-3-031-44070-0_10"},{"key":"13_CR6","unstructured":"Enguehard, J.: Time Interpret: a Unified Model Interpretability Library for Time Series (2023). https:\/\/arxiv.org\/abs\/2306.02968"},{"key":"13_CR7","unstructured":"Fel, T., et al.: Xplique: a deep learning explainability toolbox. In: Workshop on Explainable Artificial Intelligence for Computer Vision (CVPR) (2022)"},{"key":"13_CR8","doi-asserted-by":"publisher","unstructured":"Guillem\u00e9, M., Masson, V., Roz\u00e9, L., Termier, A.: Agnostic local explanation for time series classification. In: 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), pp. 432\u2013439 (2019). https:\/\/doi.org\/10.1109\/ICTAI.2019.00067","DOI":"10.1109\/ICTAI.2019.00067"},{"key":"13_CR9","doi-asserted-by":"publisher","unstructured":"H\u00f6llig, J., Kulbach, C., Thoma, S.: Tsinterpret: a python package for the interpretability of time series classification. J. Open Source Softw. 8(85), 5220 (2023). https:\/\/doi.org\/10.21105\/joss.05220","DOI":"10.21105\/joss.05220"},{"key":"13_CR10","unstructured":"Lundberg, S.M., Lee, S.: A unified approach to interpreting model predictions. CoRR abs\/1705.07874 (2017). http:\/\/arxiv.org\/abs\/1705.07874"},{"key":"13_CR11","doi-asserted-by":"crossref","unstructured":"Nayebi, A., Tipirneni, S., Reddy, C.K., Foreman, B., Subbian, V.: WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values (2023). https:\/\/arxiv.org\/abs\/2211.06507","DOI":"10.1016\/j.jbi.2023.104438"},{"key":"13_CR12","doi-asserted-by":"publisher","unstructured":"Neves, I., et al.: Interpretable heartbeat classification using local model-agnostic explanations on ECGs. Comput. Biol. Med. 133, 104393 (2021). https:\/\/doi.org\/10.1016\/j.compbiomed.2021.104393. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0010482521001876","DOI":"10.1016\/j.compbiomed.2021.104393"},{"key":"13_CR13","unstructured":"Petsiuk, V., Das, A., Saenko, K.: RISE: Randomized Input Sampling for Explanation of Black-box Models (2018)"},{"key":"13_CR14","doi-asserted-by":"publisher","unstructured":"Pradeep, P., Caro-Mart\u00ednez, M., Wijekoon, A.: A practical exploration of the convergence of case-based reasoning and explainable artificial intelligence. Expert Syst. Appl. 255, 124733 (2024). https:\/\/doi.org\/10.1016\/j.eswa.2024.124733. https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0957417424016002","DOI":"10.1016\/j.eswa.2024.124733"},{"key":"13_CR15","doi-asserted-by":"crossref","unstructured":"Ribeiro, M.T., Singh, S., Guestrin, C.: \u201cWhy should i trust you?\u201d Explaining the predictions of any classifier. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1135\u20131144 (2016)","DOI":"10.1145\/2939672.2939778"},{"key":"13_CR16","unstructured":"Rojat, T., Puget, R., Filliat, D., Ser, J.D., Gelin, R., Rodr\u00edguez, N.D.: Explainable Artificial Intelligence (XAI) on TimeSeries Data: A Survey. CoRR abs\/2104.00950 (2021). https:\/\/arxiv.org\/abs\/2104.00950"},{"key":"13_CR17","unstructured":"Sivill, T., Flach, P.: LIMESegment: meaningful, realistic time series explanations. In: Camps-Valls, G., Ruiz, F.J.R., Valera, I. (eds.) Proceedings of The 25th International Conference on Artificial Intelligence and Statistics. Proceedings of Machine Learning Research, vol.\u00a0151, pp. 3418\u20133433. PMLR (2022). https:\/\/proceedings.mlr.press\/v151\/sivill22a.html"},{"key":"13_CR18","doi-asserted-by":"publisher","unstructured":"Valdez-\u00c1vila, M.F., Bermejo-Sabbagh, C., D\u00edaz-Agudo, B., Orozco-del-Castillo, M.G., Recio-Garc\u00eda, J.A.: CBR-fox: a case-based explanation method for time series forecasting models. In: Massie, S., Chakraborti, S. (eds.) Case-Based Reasoning Research and Development - 31st International Conference, ICCBR 2023, Aberdeen, UK, 17\u201320 July 2023, Proceedings. Lecture Notes in Computer Science, vol. 14141, pp. 200\u2013214. Springer (2023). https:\/\/doi.org\/10.1007\/978-3-031-40177-0_13","DOI":"10.1007\/978-3-031-40177-0_13"},{"key":"13_CR19","doi-asserted-by":"publisher","unstructured":"Wijekoon, A., et al.: iSee: advancing multi-shot explainable AI using case-based recommendations. In: Endriss, U., et al. (eds.) ECAI 2024 - 27th European Conference on Artificial Intelligence, 19\u201324 October 2024, Santiago de Compostela, Spain - Including 13th Conference on Prestigious Applications of Intelligent Systems (PAIS 2024). Frontiers in Artificial Intelligence and Applications, vol.\u00a0392, pp. 4626\u20134633. IOS Press (2024). https:\/\/doi.org\/10.3233\/FAIA241057","DOI":"10.3233\/FAIA241057"}],"container-title":["Lecture Notes in Computer Science","Case-Based Reasoning Research and Development"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-96559-3_13","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T03:44:58Z","timestamp":1777693498000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-96559-3_13"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"ISBN":["9783031965586","9783031965593"],"references-count":19,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-96559-3_13","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]},"assertion":[{"value":"23 June 2025","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCBR","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Case-Based Reasoning","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Biarritz","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"France","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2025","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 June 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"3 July 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"33","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccbr2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}