{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,6]],"date-time":"2026-06-06T15:52:50Z","timestamp":1780761170987,"version":"3.54.1"},"reference-count":45,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/access.2024.3459648","type":"journal-article","created":{"date-parts":[[2024,9,12]],"date-time":"2024-09-12T17:58:57Z","timestamp":1726163937000},"page":"130583-130601","source":"Crossref","is-referenced-by-count":8,"title":["Assessing the Performance of Remaining Time Prediction Methods for Business Processes"],"prefix":"10.1109","volume":"12","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-9397-5226","authenticated-orcid":false,"given":"Johannes","family":"Roider","sequence":"first","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU), Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8759-7641","authenticated-orcid":false,"given":"An","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU), Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5886-0597","authenticated-orcid":false,"given":"Dario","family":"Zanca","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU), Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0417-0336","authenticated-orcid":false,"given":"Bjoern M.","family":"Eskofier","sequence":"additional","affiliation":[{"name":"Friedrich-Alexander-Universit&#x00E4;t Erlangen-N&#x00FC;rnberg (FAU), Erlangen, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-08848-3_10"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-59536-8_30"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SSCI.2017.8285184"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1145\/3331449"},{"issue":"1","key":"ref5","first-page":"739","article-title":"Deep learning for predictive Bus. Process monitoring: Review and benchmark","volume":"16","author":"Rama-Maneiro","year":"2023","journal-title":"IEEE Trans. Services Comput."},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61057-8_8"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/3589883.3589897"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1002\/smr.2170"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-61057-8_5"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-98581-3_11"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3397185"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.623"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/0167-7152(87)90026-5"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jspi.2010.01.008"},{"key":"ref15","first-page":"76336","article-title":"When do neural nets outperform boosted trees on tabular data?","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"36","author":"McElfresh"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2022.109134"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3472752"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2023.106461"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/SCC.2017.10"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/s10115-022-01666-9"},{"issue":"2","key":"ref21","first-page":"153","article-title":"Investigation of the effect of concept drift on data-aware remaining time prediction of business processes","volume":"10","author":"Firouzian","year":"2019","journal-title":"Int. J. Nonlinear Anal. Appl."},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.7551\/mitpress\/9780262170055.001.0001"},{"key":"ref23","volume-title":"Credit Requirement Event Logs","author":"Djedovic","year":"2017"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1016\/j.is.2010.09.001"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-11812-3_5"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4615-7566-5"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/s10618-022-00894-5"},{"key":"ref28","volume-title":"Bpi Challenge","author":"van Dongen","year":"2012"},{"key":"ref29","volume-title":"LBpi Challenge","author":"van Dongen","year":"2015"},{"key":"ref30","volume-title":"Bpi Challenge","author":"van Dongen","year":"2020"},{"key":"ref31","volume-title":"Dataset Belonging To the Help Desk Log of an Italian Company","author":"Polato","year":"2017"},{"key":"ref32","volume-title":"Hospital Billing\u2014Event Log","author":"Mannhardt","year":"2017"},{"key":"ref33","volume-title":"Sepsis Cases\u2014Event Log","year":"2016"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-36285-9_24"},{"key":"ref35","first-page":"1","article-title":"Analyzing application process for a personal loan or overdraft of Dutch financial institute with process mining techniques","volume-title":"Proc. 8th Int. Workshop Bus. Process Intell.","author":"Kang"},{"key":"ref36","volume-title":"BPIC 2015: Diagnostics of Building Permit Application Process in Dutch Municipalities","author":"Teinemaa","year":"2015"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-94343-1_2"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-17604-3_9"},{"key":"ref39","article-title":"ProcessTransformer: Predictive business process monitoring with transformer network","author":"Bukhsh","year":"2021","journal-title":"arXiv:2104.00721"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.5555\/3454287.3455008"},{"key":"ref42","volume-title":"TensorFlow: Large-scale Machine Learning on Heterogeneous Systems","author":"Abadi et al","year":"2015"},{"key":"ref43","first-page":"14501","article-title":"Recipe for a general, powerful, scalable graph transformer","volume-title":"Proc. Adv. Neural Inf. Process. Systems","volume":"35","author":"Ramp\u00e1\u0161ek"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.5555\/1248547.1248548"},{"key":"ref45","first-page":"27","article-title":"Fig4pm: A library for calculating event log measures","volume":"1","author":"Zandkarimi","year":"2021","journal-title":"ICPM Doctoral Consortium Demo Track"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/6287639\/10380310\/10679137.pdf?arnumber=10679137","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,25]],"date-time":"2024-09-25T05:15:02Z","timestamp":1727241302000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10679137\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":45,"URL":"https:\/\/doi.org\/10.1109\/access.2024.3459648","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}