Predictive Business Process Monitoring via Generative Adversarial Nets:
The Case of Next Event Prediction

Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction

25 March 2020

Farbod Taymouri

Papers citing "Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction"

14 / 14 papers shown

Title
Tailoring Machine Learning for Process Mining Paolo Ceravolo Sylvio Barbon Junior Ernesto Damiani Wil M.P. van der Aalst AI4TS 24 6 0 17 Jun 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 51 2 0 08 Feb 2023
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring Efrén Rama-Maneiro Pablo Monteagudo-Lago J. Vidal Manuel Lama 37 1 0 29 Nov 2022
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning Prerna Agarwal Avani Gupta Renuka Sindhgatta Sampath Dechu 19 5 0 06 May 2022
Can deep neural networks learn process model structure? An assessment framework and analysis Jari Peeperkorn S. vanden Broucke Jochen De Weerdt 32 7 0 24 Feb 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring Efrén Rama-Maneiro J. Vidal Manuel Lama GNN 27 16 0 17 Dec 2021
How do I update my model? On the resilience of Predictive Process Monitoring models to change Williams Rizzi1 Chiara Di Francescomarino Chiara Ghidini F. Maggi 32 18 0 08 Sep 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Zaharah Bukhsh Aaqib Saeed R. Dijkman AI4TS 4 45 0 01 Apr 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
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 27 25 0 15 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes Ishwar Venugopal Jessica Töllich Michael Fairbank A. Scherp 31 30 0 11 Feb 2021
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing Nijat Mehdiyev Peter Fettke 21 11 0 22 Sep 2020
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring Nijat Mehdiyev Peter Fettke AI4TS 25 55 0 04 Sep 2020
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP Sven Weinzierl Sandra Zilker Jens Brunk K. Revoredo Martin Matzner J. Becker 28 26 0 18 Aug 2020