Department of Automatic Control
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- 2023
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Mark
EasyNER: A Customizable Easy-to-Use Pipeline for Deep Learning- and Dictionary-based Named Entity Recognition from Medical Text
2023)(
- Working paper/Preprint › Preprint in preprint archive
-
Mark
Testing Abstractions for Cyber-Physical Control Systems
2023) In ACM Transactions on Software Engineering and Methodology(
- Contribution to journal › Article
-
Mark
Stress Testing of Design Assumptions in Cyber-Physical Systems: A Control Theory-Based Approach
2023) In ACM Transactions on Software Engineering and Methodology(
- Contribution to journal › Article
-
Mark
Path Planning Using Wasserstein Distributionally Robust Deep Q-learning
2023) 2023 European Control Conference, ECC 2023(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Constructive Dissonance in the Cloud: Adaptive Out-of-Phase Scheduling for Periodic Tasks
2023) International Conference on Cloud Networking(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
-
Mark
Process Control in Practice
2023) In De Gruyter Textbook(
- Book/Report › Book
-
Mark
Object Detector Differences when Using Synthetic and Real Training Data
(
- Contribution to journal › Article
-
Mark
Learning to Control the Cloud
2023)(
- Thesis › Doctoral thesis (monograph)
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Mark
A practical solution to the saturation problem in feedforward control for measurable disturbances
(
- Contribution to journal › Article
-
Mark
Transcalar Design : biological principles in architecture through computational design and additive fabrication
2023) In Asplund Series(
- Thesis › Doctoral thesis (compilation)