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

25 March 2020

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

24 / 24 papers shown

Title
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches) Mostafa Abbasi R. Nishat Corey Bond J. B. Graham-Knight Patricia Lasserre Yves Lucet Homayoun Najjaran 57 0 0 07 Jul 2024
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes Muhammad Awais Ali Marlon Dumas Fredrik P. Milani 28 0 0 09 Dec 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 112 2 0 08 Feb 2023
Can recurrent neural networks learn process model structure? Jari Peeperkorn S. vanden Broucke Jochen De Weerdt 41 13 0 13 Dec 2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring Efrén Rama-Maneiro Pablo Monteagudo-Lago J. Vidal Manuel Lama 54 1 0 29 Nov 2022
Predictive Object-Centric Process Monitoring T. Rohrer A. F. Ghahfarokhi Mohamed H. Behery G. Lakemeyer Wil M.P. van der Aalst 39 2 0 20 Jul 2022
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning Prerna Agarwal Avani Gupta Renuka Sindhgatta Sampath Dechu 35 5 0 06 May 2022
Generating Privacy-Preserving Process Data with Deep Generative Models Keyi Li Sen Yang Travis M. Sullivan R. Burd I. Marsic SyDa 58 4 0 15 Mar 2022
Can deep neural networks learn process model structure? An assessment framework and analysis Jari Peeperkorn S. vanden Broucke Jochen De Weerdt 45 7 0 24 Feb 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring Efrén Rama-Maneiro J. Vidal Manuel Lama GNN 53 18 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 50 20 0 08 Sep 2021
Masking Neural Networks Using Reachability Graphs to Predict Process Events Julian Theis H. Darabi 123 1 0 01 Aug 2021
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks P. Pfeiffer Johannes Lahann Peter Fettke SSL 51 17 0 15 Jun 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Zaharah Bukhsh Aaqib Saeed R. Dijkman AI4TS 26 50 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 24 20 0 22 Mar 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 51 26 0 15 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes Ishwar Venugopal Jessica Töllich Michael Fairbank A. Scherp 65 31 0 11 Feb 2021
A systematic literature review on state-of-the-art deep learning methods for process prediction Dominic A. Neu Johannes Lahann Peter Fettke AI4CE 70 133 0 22 Jan 2021
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring A. Nguyen Srijeet Chatterjee Sven Weinzierl Leo Schwinn Martin Matzner Bjoern M. Eskofier AI4TS 69 24 0 02 Oct 2020
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing Nijat Mehdiyev Peter Fettke 75 11 0 22 Sep 2020
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning Manuel Camargo Marlon Dumas Oscar González Rojas 24 27 0 08 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 67 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 62 27 0 18 Aug 2020
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models Farbod Taymouri M. Rosa GAN 60 8 0 30 Jul 2020