activity
20192021
most citedDecay Replay Mining to Predict Next Process Events

62 citations · 101 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2021

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…

cs.LG2021★ 3 cited

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…

cs.LG2021★ 1 cited

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…

cs.AI2020★ 12 cited

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…

eess.SY2019★ 14 cited

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…

cs.LG2019★ 62 cited

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…

cs.HC2019★ 9 cited

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…