Julian Theis

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 20

Top Topics

Programmable Logic

Top Venues

BMC Medical Informatics Decis. Mak.

Publications

Julian Theis, Houshang Darabi
Improving Predictive Process Monitoring Through Reachability Graph-Based Masking of Neural Networks. IEEE Trans. Comput. Soc. Syst. 10 (4) (2023)
Maryam Pishgar, Julian Theis, Marina Del Rios, A. Ardati, H. Anahideh, Houshang Darabi
Prediction of unplanned 30-day readmission for ICU patients with heart failure. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
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, H. Darabi
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients. BMC Medical Informatics Decis. Mak. 22 (1) (2022)
Julian Theis, William L. Galanter, Andrew D. Boyd, Houshang Darabi
Improving the In-Hospital Mortality Prediction of Diabetes ICU Patients Using a Process Mining/Deep Learning Architecture. IEEE J. Biomed. Health Informatics 26 (1) (2022)
Felix Biertümpfel, Julian Theis, Harald Pfifer
Observer-Based Synthesis of Finite Horizon Linear Time-Varying Controllers. ACC (2022)
Julian Theis, Ilia Mokhtarian, Houshang Darabi
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization. CoRR (2021)
Julian Theis, Houshang Darabi
Masking Neural Networks Using Reachability Graphs to Predict Process Events. CoRR (2021)
Julian Theis, Ilia Mokhtarian, Houshang Darabi
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization. ICPM Workshops (2021)
Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi
Process Mining Model to Predict Mortality in Paralytic Ileus Patients. CoRR (2021)
William L. Galanter, Jorge Mario Rodríguez-Fernández, Kevin Chow, Samuel Harford, Karl M. Kochendorfer, Maryam Pishgar, Julian Theis, John Zulueta, Houshang Darabi
Predicting clinical outcomes among hospitalized COVID-19 patients using both local and published models. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Julian Theis, Houshang Darabi
Adversarial System Variant Approximation to Quantify Process Model Generalization. IEEE Access 8 (2020)
Julian Theis, Houshang Darabi
Adversarial System Variant Approximation to Quantify Process Model Generalization. CoRR (2020)
Julian Theis, Houshang Darabi
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. Proc. ACM Hum. Comput. Interact. 3 (EICS) (2019)
Julian Theis, Houshang Darabi
DREAM-NAP: Decay Replay Mining to Predict Next Process Activities. CoRR (2019)
Julian Theis, Houshang Darabi
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. CoRR (2019)
Julian Theis, Ilia Mokhtarian, Houshang Darabi
Process Mining of Programmable Logic Controllers: Input/Output Event Logs. CoRR (2019)
Julian Theis, Houshang Darabi
Decay Replay Mining to Predict Next Process Events. IEEE Access 7 (2019)
Julian Theis, Ilia Mokhtarian, Houshang Darabi
Process Mining of Programmable Logic Controllers: Input/Output Event Logs. CASE (2019)
Julian Theis, Peter J. Seiler, Herbert Werner
LPV Model Order Reduction by Parameter-Varying Oblique Projection. IEEE Trans. Control. Syst. Technol. 26 (3) (2018)
Julian Theis, Peter J. Seiler, Herbert Werner
Model order reduction by parameter-varying oblique projection. ACC (2016)
Julian Theis, Harald Pfifer, Gary J. Balas, Herbert Werner
Integrated flight control design for a large flexible aircraft. ACC (2015)