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Julian Theis
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2020 – today
- 2023
- [j9]Julian Theis
, Houshang Darabi
:
Improving Predictive Process Monitoring Through Reachability Graph-Based Masking of Neural Networks. IEEE Trans. Comput. Soc. Syst. 10(4): 1927-1938 (2023) - 2022
- [j8]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): 117 (2022) - [j7]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:
A process mining- deep learning approach to predict survival in a cohort of hospitalized COVID-19 patients. BMC Medical Informatics Decis. Mak. 22(1): 194 (2022) - [j6]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): 388-399 (2022) - [c5]Felix Biertümpfel
, Julian Theis
, Harald Pfifer
:
Observer-Based Synthesis of Finite Horizon Linear Time-Varying Controllers. ACC 2022: 2956-2961 - 2021
- [j5]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): 224 (2021) - [c4]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: 281-293 - [i7]Julian Theis, Ilia Mokhtarian, Houshang Darabi:
On the Performance Analysis of the Adversarial System Variant Approximation Method to Quantify Process Model Generalization. CoRR abs/2107.06319 (2021) - [i6]Julian Theis, Houshang Darabi:
Masking Neural Networks Using Reachability Graphs to Predict Process Events. CoRR abs/2108.00404 (2021) - [i5]Maryam Pishgar, Martha Razo, Julian Theis, Houshang Darabi:
Process Mining Model to Predict Mortality in Paralytic Ileus Patients. CoRR abs/2108.01267 (2021) - 2020
- [j4]Julian Theis
, Houshang Darabi
:
Adversarial System Variant Approximation to Quantify Process Model Generalization. IEEE Access 8: 194410-194427 (2020) - [i4]Julian Theis, Houshang Darabi:
Adversarial System Variant Approximation to Quantify Process Model Generalization. CoRR abs/2003.12168 (2020)
2010 – 2019
- 2019
- [j3]Julian Theis
, Houshang Darabi
:
Decay Replay Mining to Predict Next Process Events. IEEE Access 7: 119787-119803 (2019) - [j2]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): 13:1-13:16 (2019) - [c3]Julian Theis
, Ilia Mokhtarian, Houshang Darabi:
Process Mining of Programmable Logic Controllers: Input/Output Event Logs. CASE 2019: 216-221 - [i3]Julian Theis, Houshang Darabi:
Behavioral Petri Net Mining and Automated Analysis for Human-Computer Interaction Recommendations in Multi-Application Environments. CoRR abs/1902.08740 (2019) - [i2]Julian Theis, Houshang Darabi:
DREAM-NAP: Decay Replay Mining to Predict Next Process Activities. CoRR abs/1903.05084 (2019) - [i1]Julian Theis, Ilia Mokhtarian, Houshang Darabi:
Process Mining of Programmable Logic Controllers: Input/Output Event Logs. CoRR abs/1903.09513 (2019) - 2018
- [j1]Julian Theis
, Peter J. Seiler
, Herbert Werner:
LPV Model Order Reduction by Parameter-Varying Oblique Projection. IEEE Trans. Control. Syst. Technol. 26(3): 773-784 (2018) - 2016
- [c2]Julian Theis
, Peter J. Seiler
, Herbert Werner:
Model order reduction by parameter-varying oblique projection. ACC 2016: 4586-4591 - 2015
- [c1]Julian Theis
, Harald Pfifer
, Gary J. Balas, Herbert Werner:
Integrated flight control design for a large flexible aircraft. ACC 2015: 3830-3835
Coauthor Index
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