Julian Theis

According to our database, Julian Theis authored at least 17 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Improving Predictive Process Monitoring Through Reachability Graph-Based Masking of Neural Networks.

Julian Theis, Houshang Darabi

IEEE Trans. Comput. Soc. Syst., August, 2023

2022

Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture.

Julian Theis, William L. Galanter, Andrew D. Boyd, Houshang Darabi

IEEE J. Biomed. Health Informatics, 2022

Prediction of unplanned 30-day readmission for ICU patients with heart failure.

Maryam Pishgar, Julian Theis, Marina Del Rios, Amer Ardati, H. Anahideh, Houshang Darabi

BMC Medical Informatics Decis. Mak., 2022

A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients.

Maryam Pishgar, Samuel Harford, Julian Theis, William L. Galanter, Jorge Mario Rodríguez-Fernández, L. H. Chaisson, Y. Zhang, A. Trotter, Karl M. Kochendorfer, A. Boppana, Houshang Darabi

BMC Medical Informatics Decis. Mak., 2022

Observer-Based Synthesis of Finite Horizon Linear Time-Varying Controllers.

Felix Biertümpfel, Julian Theis, Harald Pfifer

Proceedings of the American Control Conference, 2022

2021

Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models.

William L. Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi

BMC Medical Informatics Decis. Mak., 2021

Process Mining Model to Predict Mortality in Paralytic Ileus Patients.

Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi

CoRR, 2021

Masking Neural Networks Using Reachability Graphs to Predict Process Events.

Julian Theis, Houshang Darabi

CoRR, 2021

On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization.

Julian Theis, Ilia Mokhtarian, Houshang Darabi

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

2020

Adversarial System Variant Approximation to Quantify Process Model Generalization.

Julian Theis, Houshang Darabi

IEEE Access, 2020

2019

Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments.

Julian Theis, Houshang Darabi

Proc. ACM Hum. Comput. Interact., 2019

DREAM-NAP: Decay Replay Mining to Predict Next Process Activities.

Julian Theis, Houshang Darabi

CoRR, 2019

Decay Replay Mining to Predict Next Process Events.

Julian Theis, Houshang Darabi

IEEE Access, 2019

Process Mining of Programmable Logic Controllers: Input/Output Event Logs.

Julian Theis, Ilia Mokhtarian, Houshang Darabi

Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018

LPV Model Order Reduction by Parameter-Varying Oblique Projection.

Julian Theis, Peter J. Seiler, Herbert Werner

IEEE Trans. Control. Syst. Technol., 2018

2016

Model order reduction by parameter-varying oblique projection.

Julian Theis, Peter J. Seiler, Herbert Werner

Proceedings of the 2016 American Control Conference, 2016

2015

Integrated flight control design for a large flexible aircraft.

Julian Theis, Harald Pfifer, Gary J. Balas, Herbert Werner

Proceedings of the American Control Conference, 2015