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Improving Time Series Classification Algorithms Using Octave-Convolutional Layers
Samuel Harford, Fazle Karim, Houshang Darabi
Deep learning models utilizing convolution layers have achieved state-of-the-art performance on univariate time series classification tasks. In this work, we propose improving CNN…
Process Mining Model to Predict Mortality in Paralytic Ileus Patients
Maryam Pishgar, Martha Razo, Julian Theis +1
Paralytic Ileus (PI) patients are at high risk of death when admitted to the Intensive care unit (ICU), with mortality as high as 40\%. There is minimal research concerning PI pati…
Masking Neural Networks Using Reachability Graphs to Predict Process Events
Julian Theis, Houshang Darabi
Decay Replay Mining is a deep learning method that utilizes process model notations to predict the next event. However, this method does not intertwine the neural network with the…
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization
Julian Theis, Ilia Mokhtarian, Houshang Darabi
Process mining algorithms discover a process model from an event log. The resulting process model is supposed to describe all possible event sequences of the underlying system. Gen…