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Predicting Process Behaviour using Deep Learning

Predicting Process Behaviour using Deep Learning

14 December 2016
Joerg Evermann
Jana-Rebecca Rehse
Peter Fettke
ArXivPDFHTML

Papers citing "Predicting Process Behaviour using Deep Learning"

17 / 17 papers shown
Title
Performance-Preserving Event Log Sampling for Predictive Monitoring
Performance-Preserving Event Log Sampling for Predictive Monitoring
M. Sani
Mozhgan Vazifehdoostirani
Gyunam Park
Marco Pegoraro
S. V. Zelst
Wil M.P. van der Aalst
36
7
0
18 Jan 2023
Explainable Artificial Intelligence for Improved Modeling of Processes
Explainable Artificial Intelligence for Improved Modeling of Processes
Riza Velioglu
Jan Philip Göpfert
André Artelt
Barbara Hammer
AI4TS
14
4
0
01 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
35
1
0
29 Nov 2022
Event Log Sampling for Predictive Monitoring
Event Log Sampling for Predictive Monitoring
M. Sani
Mozhgan Vazifehdoostirani
Gyunam Park
Marco Pegoraro
S. V. Zelst
Wil M.P. van der Aalst
40
7
0
04 Apr 2022
Counterfactual Explanations for Predictive Business Process Monitoring
Counterfactual Explanations for Predictive Business Process Monitoring
Tsung-Hao Huang
Andreas Metzger
Klaus Pohl
19
19
0
24 Feb 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
24
7
0
24 Feb 2022
Explainable Predictive Process Monitoring: A User Evaluation
Explainable Predictive Process Monitoring: A User Evaluation
Williams Rizzi
M. Comuzzi
Chiara Di Francescomarino
Chiara Ghidini
Suhwan Lee
F. Maggi
Alexander Nolte
FaML
XAI
16
8
0
15 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
14
15
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
24
18
0
08 Sep 2021
Process Outcome Prediction: CNN vs. LSTM (with Attention)
Process Outcome Prediction: CNN vs. LSTM (with Attention)
Hans Weytjens
Jochen De Weerdt
AI4TS
27
43
0
14 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
11
18
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
19
25
0
15 Feb 2021
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
25
55
0
04 Sep 2020
From Robotic Process Automation to Intelligent Process Automation:
  Emerging Trends
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends
Tathagata Chakraborti
Vatche Isahagian
Rania Y. Khalaf
Y. Khazaeni
Vinod Muthusamy
Yara Rizk
Merve Unuvar
AI4CE
22
43
0
27 Jul 2020
Exploring Interpretability for Predictive Process Analytics
Exploring Interpretability for Predictive Process Analytics
Renuka Sindhgatta
Chun Ouyang
Catarina Moreira
8
2
0
22 Dec 2019
Classifying Process Instances Using Recurrent Neural Networks
Classifying Process Instances Using Recurrent Neural Networks
Markku Hinkka
Teemu Lehto
Keijo Heljanko
Alexander Jung
16
35
0
16 Sep 2018
Decision support from financial disclosures with deep neural networks
  and transfer learning
Decision support from financial disclosures with deep neural networks and transfer learning
Mathias Kraus
Stefan Feuerriegel
AIFin
14
261
0
11 Oct 2017
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