212 citations · 221 across the 6 of their papers we have counts for
10 papers
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…
Adversarial Attacks on Multivariate Time Series
Samuel Harford, Fazle Karim, Houshang Darabi
Classification models for the multivariate time series have gained significant importance in the research community, but not much research has been done on generating adversarial s…
Adversarial System Variant Approximation to Quantify Process Model Generalization
Julian Theis, Houshang Darabi
In process mining, process models are extracted from event logs using process discovery algorithms and are commonly assessed using multiple quality dimensions. While the metrics th…
A Computer-Aided System for Determining the Application Range of a Warfarin Clinical Dosing Algorithm Using Support Vector Machines with a Polynomial Kernel Function
Ashkan Sharabiani, Adam Bress, William Galanter +2
Determining the optimal initial dose for warfarin is a critically important task. Several factors have an impact on the therapeutic dose for individual patients, such as patients'…
Decay Replay Mining to Predict Next Process Events
Julian Theis, Houshang Darabi
In complex processes, various events can happen in different sequences. The prediction of the next event given an a-priori process state is of importance in such processes. Recent…