ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2003.11268
  4. Cited By
Predictive Business Process Monitoring via Generative Adversarial Nets:
  The Case of Next Event Prediction
v1v2 (latest)

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

International Conference on Business Process Management (BPM), 2020
25 March 2020
Farbod Taymouri
M. Rosa
S. Erfani
Z. Bozorgi
I. Verenich
    GANAAML
ArXiv (abs)PDFHTML

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

31 / 31 papers shown
How Will My Business Process Unfold? Predicting Case Suffixes With Start and End Timestamps
How Will My Business Process Unfold? Predicting Case Suffixes With Start and End Timestamps
Muhammad Awais Ali
Marlon Dumas
Fredrik P. Milani
92
0
0
10 Apr 2026
Time-Aware and Transition-Semantic Graph Neural Networks for Interpretable Predictive Business Process Monitoring
Time-Aware and Transition-Semantic Graph Neural Networks for Interpretable Predictive Business Process MonitoringExpert systems with applications (ESWA), 2025
Fang Wang
Ernesto Damiani
AI4TS
334
2
0
13 Aug 2025
Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring
Leveraging Data Augmentation and Siamese Learning for Predictive Process Monitoring
Sjoerd van Straten
Alessandro Padella
Marwan Hassani
AI4TS
389
0
0
24 Jul 2025
A Review of AI and Machine Learning Contribution in Predictive Business
  Process Management (Process Enhancement and Process Improvement Approaches)
A Review of AI and Machine Learning Contribution in Predictive Business Process Management (Process Enhancement and Process Improvement Approaches)
Oluwaseyi Ogunfowora
R. Nishat
Corey Bond
J. B. Graham-Knight
Patricia Lasserre
Yves Lucet
Homayoun Najjaran
248
4
0
07 Jul 2024
Enhancing the Accuracy of Predictors of Activity Sequences of Business
  Processes
Enhancing the Accuracy of Predictors of Activity Sequences of Business ProcessesResearch Challenges in Information Science (RCIS), 2023
Muhammad Awais Ali
Marlon Dumas
Fredrik P. Milani
172
2
0
09 Dec 2023
Tailoring Machine Learning for Process Mining
Tailoring Machine Learning for Process MiningIEEE Access (IEEE Access), 2023
Paolo Ceravolo
Sylvio Barbon Junior
Ernesto Damiani
Wil M.P. van der Aalst
AI4TS
201
13
0
17 Jun 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research AreasACM Computing Surveys (ACM Comput. Surv.), 2023
Janik-Vasily Benzin
Stefanie Rinderle-Ma
AI4TS
503
5
0
08 Feb 2023
Can recurrent neural networks learn process model structure?
Can recurrent neural networks learn process model structure?Journal of Intelligence and Information Systems (JIIS), 2022
Jari Peeperkorn
S. vanden Broucke
Jochen De Weerdt
193
16
0
13 Dec 2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring
Efrén Rama-Maneiro
Pablo Monteagudo-Lago
J. Vidal
Manuel Lama
171
2
0
29 Nov 2022
Predictive Object-Centric Process Monitoring
Predictive Object-Centric Process Monitoring
T. Rohrer
A. F. Ghahfarokhi
Mohamed H. Behery
G. Lakemeyer
Wil M.P. van der Aalst
236
2
0
20 Jul 2022
Enhancing Stochastic Petri Net-based Remaining Time Prediction using
  k-Nearest Neighbors
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors
Jarne Vandenabeele
Gilles Vermaut
Jari Peeperkorn
Jochen De Weerdt
AI4TS
137
4
0
27 Jun 2022
Goal-Oriented Next Best Activity Recommendation using Reinforcement
  Learning
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning
Prerna Agarwal
Avani Gupta
Prerna Agarwal
Sampath Dechu
146
7
0
06 May 2022
Generating Privacy-Preserving Process Data with Deep Generative Models
Generating Privacy-Preserving Process Data with Deep Generative Models
Keyi Li
Sen Yang
Travis M. Sullivan
R. Burd
I. Marsic
SyDa
250
4
0
15 Mar 2022
Can deep neural networks learn process model structure? An assessment
  framework and analysis
Can deep neural networks learn process model structure? An assessment framework and analysis
Jari Peeperkorn
S. vanden Broucke
Jochen De Weerdt
255
7
0
24 Feb 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for
  Predictive Monitoring
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive MonitoringIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
Efrén Rama-Maneiro
J. Vidal
Manuel Lama
GNN
244
30
0
17 Dec 2021
ProcK: Machine Learning for Knowledge-Intensive Processes
ProcK: Machine Learning for Knowledge-Intensive Processes
Tobias Jacobs
Jingyi Yu
J. Gastinger
T. Sztyler
206
1
0
10 Sep 2021
How do I update my model? On the resilience of Predictive Process
  Monitoring models to change
How do I update my model? On the resilience of Predictive Process Monitoring models to changeKnowledge and Information Systems (KAIS), 2021
Williams Rizzi1
Chiara Di Francescomarino
Chiara Ghidini
F. Maggi
244
24
0
08 Sep 2021
Masking Neural Networks Using Reachability Graphs to Predict Process
  Events
Masking Neural Networks Using Reachability Graphs to Predict Process Events
Julian Theis
H. Darabi
248
3
0
01 Aug 2021
Multivariate Business Process Representation Learning utilizing Gramian
  Angular Fields and Convolutional Neural Networks
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks
P. Pfeiffer
Johannes Lahann
Peter Fettke
SSL
229
23
0
15 Jun 2021
ProcessTransformer: Predictive Business Process Monitoring with
  Transformer Network
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network
Zaharah Bukhsh
Aaqib Saeed
R. Dijkman
AI4TS
189
80
0
01 Apr 2021
Evaluating Predictive Business Process Monitoring Approaches on Small
  Event Logs
Evaluating Predictive Business Process Monitoring Approaches on Small Event LogsQuality of Information and Communications Technology (QICT), 2021
Martin Käppel
Stefan Jablonski
Stefan Schönig
149
12
0
01 Apr 2021
Learning Accurate Business Process Simulation Models from Event Logs via
  Automated Process Discovery and Deep Learning
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep LearningInternational Conference on Advanced Information Systems Engineering (CAiSE), 2021
Manuel Camargo
Marlon Dumas
Oscar González Rojas
147
24
0
22 Mar 2021
A Deep Adversarial Model for Suffix and Remaining Time Prediction of
  Event Sequences
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event SequencesSDM (SDM), 2021
Farbod Taymouri
M. Rosa
S. Erfani
158
35
0
15 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting
  Business Processes
A Comparison of Deep-Learning Methods for Analysing and Predicting Business ProcessesIEEE International Joint Conference on Neural Network (IJCNN), 2021
Ishwar Venugopal
Jessica Töllich
Michael Fairbank
A. Scherp
226
36
0
11 Feb 2021
A systematic literature review on state-of-the-art deep learning methods
  for process prediction
A systematic literature review on state-of-the-art deep learning methods for process predictionArtificial Intelligence Review (AIR), 2021
Dominic A. Neu
Johannes Lahann
Peter Fettke
AI4CE
241
139
0
22 Jan 2021
Time Matters: Time-Aware LSTMs for Predictive Business Process
  Monitoring
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring
A. Nguyen
Srijeet Chatterjee
Sven Weinzierl
Leo Schwinn
Martin Matzner
Bjoern M. Eskofier
AI4TS
288
35
0
02 Oct 2020
Local Post-Hoc Explanations for Predictive Process Monitoring in
  Manufacturing
Local Post-Hoc Explanations for Predictive Process Monitoring in ManufacturingEuropean Conference on Information Systems (ECIS), 2020
Nijat Mehdiyev
Peter Fettke
319
14
0
22 Sep 2020
Discovering Generative Models from Event Logs: Data-driven Simulation vs
  Deep Learning
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep LearningPeerJ Computer Science (PeerJ Comput. Sci.), 2020
Manuel Camargo
Marlon Dumas
Oscar González Rojas
130
35
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
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process MonitoringStudies in Computational Intelligence (SCI), 2020
Nijat Mehdiyev
Peter Fettke
AI4TS
307
69
0
04 Sep 2020
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using
  LRP
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
Sven Weinzierl
Sandra Zilker
Jens Brunk
K. Revoredo
Martin Matzner
J. Becker
221
34
0
18 Aug 2020
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and
  Remaining Time Prediction of Business Process Models
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models
Farbod Taymouri
M. Rosa
GAN
240
8
0
30 Jul 2020
1
Page 1 of 1