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An empirical comparison of deep-neural-network architectures for next
  activity prediction using context-enriched process event logs

An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs

3 May 2020
Sven Weinzierl
Sandra Zilker
Jens Brunk
Kate Revoredo
A. Nguyen
Martin Matzner
Jörg Becker
Björn Eskofier
ArXivPDFHTML

Papers citing "An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs"

2 / 2 papers shown
Title
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
16
6
0
24 Feb 2022
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
273
2,696
0
15 Sep 2016
1