Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

24 September 2020

Papers citing "Deep Learning for Predictive Business Process Monitoring: Review and Benchmark"

23 / 23 papers shown

Title
Self-Explaining Neural Networks for Business Process Monitoring Shahaf Bassan Shlomit Gur Sergey Zeltyn Konstantinos Mavrogiorgos Ron Eliav Dimosthenis Kyriazis 49 0 0 23 Mar 2025
Recent Advances in Data-Driven Business Process Management Lars Ackermann Martin Käppel Laura Marcus Linda Moder Sebastian Dunzer ... Martin Matzner Stefanie Rinderle-Ma Maximilian Röglinger Stefan Schönig Axel Winkelmann AI4CE 27 3 0 03 Jun 2024
Machine learning in business process management: A systematic literature review Sven Weinzierl Sandra Zilker Sebastian Dunzer Martin Matzner 42 11 0 26 May 2024
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances Keyvan Amiri Elyasi Han van der Aa Heiner Stuckenschmidt AI4TS 43 3 0 09 Apr 2024
SNAP: Semantic Stories for Next Activity Prediction Alon Oved Segev Shlomov Sergey Zeltyn Nir Mashkif Avi Yaeli VLM 30 2 0 28 Jan 2024
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes Muhammad Awais Ali Marlon Dumas Fredrik P. Milani 16 0 0 09 Dec 2023
A Discussion on Generalization in Next-Activity Prediction Luka Abb P. Pfeiffer Peter Fettke Jana-Rebecca Rehse AI4TS 15 2 0 18 Sep 2023
Inter-case Predictive Process Monitoring: A candidate for Quantum Machine Learning? Stefan Hill David Fitzek Patrick Delfmann Carl Corea 19 0 0 30 Jun 2023
Tailoring Machine Learning for Process Mining Paolo Ceravolo Sylvio Barbon Junior Ernesto Damiani Wil M.P. van der Aalst AI4TS 21 6 0 17 Jun 2023
CoSMo: a Framework to Instantiate Conditioned Process Simulation Models R. Oyamada G. Tavares Sylvio Barbon Junior Paolo Ceravolo AI4CE 28 0 0 31 Mar 2023
Analysis of business process automation as linear time-invariant system network Mauricio Jacobo-Romero Danilo S. Carvalho André Freitas 14 0 0 09 Feb 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 46 2 0 08 Feb 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 31 20 0 05 Jan 2023
Explainable Artificial Intelligence for Improved Modeling of Processes Riza Velioglu Jan Philip Göpfert André Artelt Barbara Hammer AI4TS 22 4 0 01 Dec 2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring Efrén Rama-Maneiro Pablo Monteagudo-Lago J. Vidal Manuel Lama 35 1 0 29 Nov 2022
Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions Stefanie Rinderle-Ma Karolin Winter Janik-Vasily Benzin 20 10 0 10 May 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring Efrén Rama-Maneiro J. Vidal Manuel Lama GNN 22 15 0 17 Dec 2021
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms B. Wickramanayake Zhipeng He Chun Ouyang Catarina Moreira Yue Xu Renuka Sindhgatta 16 25 0 03 Sep 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Z. Bukhsh Aaqib Saeed R. Dijkman AI4TS 4 45 0 01 Apr 2021
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs Martin Käppel Stefan Jablonski Stefan Schönig 16 10 0 01 Apr 2021
A Systematic Literature Review on Process-Aware Recommender Systems Mansoureh Yari Eili J. Rezaeenour M. Sani 14 7 0 30 Mar 2021
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning Manuel Camargo Marlon Dumas Oscar González Rojas 11 18 0 22 Mar 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 220 7,930 0 17 Aug 2015