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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

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"

24 / 24 papers shown
Title
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)
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
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
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas
Janik-Vasily Benzin
Stefanie Rinderle-Ma
AI4TS
115
2
0
08 Feb 2023
Can recurrent neural networks learn process model structure?
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
1