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Classifying Process Instances Using Recurrent Neural Networks

Classifying Process Instances Using Recurrent Neural Networks

Markku Hinkka
Teemu Lehto
Keijo Heljanko
Alexander Jung
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Papers citing "Classifying Process Instances Using Recurrent Neural Networks"

7 / 7 papers shown
Title
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
55
91
0
10 Nov 2017
Structural Feature Selection for Event Logs
Structural Feature Selection for Event Logs
Markku Hinkka
Teemu Lehto
Keijo Heljanko
Alexander Jung
37
12
0
08 Oct 2017
Predicting Process Behaviour using Deep Learning
Predicting Process Behaviour using Deep Learning
Joerg Evermann
Jana-Rebecca Rehse
Peter Fettke
73
359
0
14 Dec 2016
Predictive Business Process Monitoring with LSTM Neural Networks
Predictive Business Process Monitoring with LSTM Neural Networks
Niek Tax
I. Verenich
M. Rosa
Marlon Dumas
65
450
0
07 Dec 2016
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,433
0
22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Kyunghyun Cho
Yoshua Bengio
610
12,760
0
11 Dec 2014
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
270
6,793
0
03 Sep 2014