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Survey and cross-benchmark comparison of remaining time prediction
  methods in business process monitoring

Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring

8 May 2018
I. Verenich
Marlon Dumas
M. Rosa
F. Maggi
Irene Teinemaa
    AI4TS
ArXivPDFHTML

Papers citing "Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring"

5 / 5 papers shown
Title
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
An Uncertainty-Aware ED-LSTM for Probabilistic Suffix Prediction
Henryk Mustroph
Michel Kunkler
Stefanie Rinderle-Ma
107
0
0
27 May 2025
LSTM Networks for Data-Aware Remaining Time Prediction of Business
  Process Instances
LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances
Nicoló Navarin
B. Vincenzi
Mirko Polato
A. Sperduti
AI4TS
31
91
0
10 Nov 2017
Predictive Business Process Monitoring with LSTM Neural Networks
Predictive Business Process Monitoring with LSTM Neural Networks
Niek Tax
I. Verenich
M. Rosa
Marlon Dumas
52
448
0
07 Dec 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
548
7,985
0
13 Jun 2015
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
250
12,431
0
24 Jun 2012
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