{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T07:00:44Z","timestamp":1771743644237,"version":"3.50.1"},"publisher-location":"Singapore","reference-count":14,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819570805","type":"print"},{"value":"9789819570812","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-95-7081-2_12","type":"book-chapter","created":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T06:44:57Z","timestamp":1771742697000},"page":"183-193","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Industrial-Scale Autonomous eXplainable Iterative Learning"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3587-7729","authenticated-orcid":false,"given":"Nika","family":"Strem","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4331-7193","authenticated-orcid":false,"given":"Devendra Singh","family":"Dhami","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2873-9152","authenticated-orcid":false,"given":"Kristian","family":"Kersting","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,23]]},"reference":[{"key":"12_CR1","doi-asserted-by":"publisher","first-page":"138","DOI":"10.1016\/j.jprocont.2015.04.006","volume":"32","author":"V Agrawal","year":"2015","unstructured":"Agrawal, V., Panigrahi, B., Subbarao, P.: Review of control and fault diagnosis methods applied to coal mills. J. Process Control 32, 138\u2013153 (2015)","journal-title":"J. Process Control"},{"key":"12_CR2","doi-asserted-by":"crossref","unstructured":"Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785\u2013794 (2016)","DOI":"10.1145\/2939672.2939785"},{"key":"12_CR3","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1007\/978-3-031-16564-1_13","volume-title":"Foundations of Intelligent Systems - ISMIS 2022","author":"MT Hagos","year":"2022","unstructured":"Hagos, M.T., Curran, K.M., Mac Namee, B.: Impact of feedback type on explanatory interactive learning. In: Ceci, M., Flesca, S., Masciari, E., Manco, G., Ra\u015b, Z.W. (eds.) ISMIS 2022. LNCS, vol. 13515, pp. 127\u2013137. Springer, Cham (2022). https:\/\/doi.org\/10.1007\/978-3-031-16564-1_13"},{"key":"12_CR4","unstructured":"Hollender, M.: Collaborative process automation systems. ISA (2010)"},{"issue":"7","key":"12_CR5","doi-asserted-by":"publisher","first-page":"1784","DOI":"10.3390\/en13071784","volume":"13","author":"Y Hu","year":"2020","unstructured":"Hu, Y., Ping, B., Zeng, D., Niu, Y., Gao, Y.: Modeling of coal mill system used for fault simulation. Energies 13(7), 1784 (2020)","journal-title":"Energies"},{"key":"12_CR6","unstructured":"IEC 62682: Management of alarm systems for the process industries (2014)"},{"key":"12_CR7","doi-asserted-by":"publisher","DOI":"10.1016\/j.egyai.2022.100169","volume":"9","author":"R Machlev","year":"2022","unstructured":"Machlev, R., et al.: Explainable artificial intelligence (XAI) techniques for energy and power systems: review, challenges and opportunities. Energy AI 9, 100169 (2022)","journal-title":"Energy AI"},{"key":"12_CR8","doi-asserted-by":"crossref","unstructured":"Ross, A.S., Hughes, M.C., Doshi-Velez, F.: Right for the right reasons: training differentiable models by constraining their explanations. arXiv preprint arXiv:1703.03717 (2017)","DOI":"10.24963\/ijcai.2017\/371"},{"issue":"8","key":"12_CR9","doi-asserted-by":"publisher","first-page":"476","DOI":"10.1038\/s42256-020-0212-3","volume":"2","author":"P Schramowski","year":"2020","unstructured":"Schramowski, P., et al.: Making deep neural networks right for the right scientific reasons by interacting with their explanations. Nat. Mach. Intell. 2(8), 476\u2013486 (2020)","journal-title":"Nat. Mach. Intell."},{"key":"12_CR10","doi-asserted-by":"crossref","unstructured":"Shao, X., Skryagin, A., Stammer, W., Schramowski, P., Kersting, K.: Right for better reasons: training differentiable models by constraining their influence functions. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol.\u00a035, pp. 9533\u20139540 (2021)","DOI":"10.1609\/aaai.v35i11.17148"},{"key":"12_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.109643","volume":"139","author":"N Strem","year":"2025","unstructured":"Strem, N., Dhami, D.S., Schmidt, B., Kersting, K.: Multimodal transformer for early alarm prediction. Eng. Appl. Artif. Intell. 139, 109643 (2025)","journal-title":"Eng. Appl. Artif. Intell."},{"key":"12_CR12","doi-asserted-by":"crossref","unstructured":"Teso, S., Kersting, K.: Explanatory interactive machine learning. In: Proceedings of the 2019 AAAI\/ACM Conference on AI, Ethics, and Society, pp. 239\u2013245 (2019)","DOI":"10.1145\/3306618.3314293"},{"key":"12_CR13","doi-asserted-by":"publisher","first-page":"100700","DOI":"10.1109\/ACCESS.2022.3207765","volume":"10","author":"A Theissler","year":"2022","unstructured":"Theissler, A., Spinnato, F., Schlegel, U., Guidotti, R.: Explainable AI for time series classification: a review, taxonomy and research directions. IEEE Access 10, 100700\u2013100724 (2022)","journal-title":"IEEE Access"},{"key":"12_CR14","unstructured":"Vaswani, A., et al.: Attention is all you need. In: Advances in Neural Information Processing Systems, vol. 30 (2017)"}],"container-title":["Lecture Notes in Computer Science","PRICAI 2025: Trends in Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-95-7081-2_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,22]],"date-time":"2026-02-22T06:45:00Z","timestamp":1771742700000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-95-7081-2_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819570805","9789819570812"],"references-count":14,"URL":"https:\/\/doi.org\/10.1007\/978-981-95-7081-2_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"23 February 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"PRICAI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pacific Rim International Conference on Artificial Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wellington","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"New Zealand","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":"17 November 2025","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21 November 2025","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"22","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"pricai2025","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/www.pricai.org\/2025\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}