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Process Mining of Programmable Logic Controllers: Input/Output Event Logs
Julian Theis, Ilia Mokhtarian, Houshang Darabi
This paper presents an approach to model an unknown Ladder Logic based Programmable Logic Controller (PLC) program consisting of Boolean logic and counters using Process Mining tec…
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…
Adversarial Attacks on Time Series
Fazle Karim, Somshubra Majumdar, Houshang Darabi
Time series classification models have been garnering significant importance in the research community. However, not much research has been done on generating adversarial samples f…
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments
Julian Theis, Houshang Darabi
Process Mining is a famous technique which is frequently applied to Software Development Processes, while being neglected in Human-Computer Interaction (HCI) recommendation applica…
Insights into LSTM Fully Convolutional Networks for Time Series Classification
Fazle Karim, Somshubra Majumdar, Houshang Darabi
Long Short Term Memory Fully Convolutional Neural Networks (LSTM-FCN) and Attention LSTM-FCN (ALSTM-FCN) have shown to achieve state-of-the-art performance on the task of classifyi…