1. Leveraging Shallow Machine Learning to Predict Business Process Behavior
2. Dzmitry Bahdanau , Kyunghyun Cho , and Yoshua Bengio . 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 ( 2014 ). Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014. Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473 (2014).
3. Jörg Becker , Dominic Breuker , Patrick Delfmann , and Martin Matzner . 2014. Designing and implementing a framework for event-based predictive modelling of business processes. Enterprise modelling and information systems architectures-EMISA 2014 ( 2014 ). Jörg Becker, Dominic Breuker, Patrick Delfmann, and Martin Matzner. 2014. Designing and implementing a framework for event-based predictive modelling of business processes. Enterprise modelling and information systems architectures-EMISA 2014 (2014).
4. Kristof Böhmer and Stefanie Rinderle-Ma . 2018 . Probability based heuristic for predictive business process monitoring. In On the Move to Meaningful Internet Systems . OTM 2018 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2018, Valletta, Malta, October 22-26, 2018, Proceedings, Part I. Springer, 78–96 . Kristof Böhmer and Stefanie Rinderle-Ma. 2018. Probability based heuristic for predictive business process monitoring. In On the Move to Meaningful Internet Systems. OTM 2018 Conferences: Confederated International Conferences: CoopIS, C&TC, and ODBASE 2018, Valletta, Malta, October 22-26, 2018, Proceedings, Part I. Springer, 78–96.
5. Zaharah A Bukhsh , Aaqib Saeed , and Remco M Dijkman . 2021 . Processtransformer: Predictive business process monitoring with transformer network. arXiv preprint arXiv:2104.00721 (2021). Zaharah A Bukhsh, Aaqib Saeed, and Remco M Dijkman. 2021. Processtransformer: Predictive business process monitoring with transformer network. arXiv preprint arXiv:2104.00721 (2021).