Daniel Jung

26 papers A* 1B 1C 4Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Probabilistic Machine Learning for Uncertainty-Aware Diagnosis of Industrial Systems.
CoRR
Arman Mohammadi, Mattias Krysander, Daniel Jung, Erik Frisk
2025 C conf
The DX Competition 2025 and Its Benchmarks (DX Competition).
DX
Ingo Pill, Daniel Jung, Eldin Kurudzija, Anna Sztyber-Betley, Michal Syfert, Kai Dresia, Günther Waxenegger-Wilfing, Johan de Kleer
2024 C conf
A Study on Redundancy and Intrinsic Dimension for Data-Driven Fault Diagnosis.
DX
Daniel Jung, David Axelsson
2024 J jnl
Enhancing the Security of Automotive Systems Using Attackability Index.
IEEE Trans. Intell. Veh.
Vishnu Renganathan, Qadeer Ahmed, Daniel Jung
2024 A* conf
Stability-Informed Initialization of Neural Ordinary Differential Equations.
ICML
Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk
2024 J jnl
The LiU-ICE Benchmark - An Industrial Fault Diagnosis Case Study.
CoRR
Daniel Jung, Erik Frisk, Mattias Krysander
2023 J jnl
Analysis of Numerical Integration in RNN-Based Residuals for Fault Diagnosis of Dynamic Systems.
CoRR
Arman Mohammadi, Theodor Westny, Daniel Jung, Mattias Krysander
2023 J jnl
Stability-Informed Initialization of Neural Ordinary Differential Equations.
CoRR
Theodor Westny, Arman Mohammadi, Daniel Jung, Erik Frisk
2022 — conf
Automated Design of Grey-Box Recurrent Neural Networks For Fault Diagnosis using Structural Models and Causal Information.
L4DC
Daniel Jung
2021 J jnl
A forest-based algorithm for selecting informative variables using Variable Depth Distribution.
Eng. Appl. Artif. Intell.
Sergii Voronov, Daniel Jung, Erik Frisk
2021 J jnl
Distributed Feature Selection for Multi-Class Classification Using ADMM.
IEEE Control. Syst. Lett.
Daniel Jung
2021 J jnl
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle.
IEEE Trans. Veh. Technol.
Shreshta Rajakumar Deshpande, Daniel Jung, Leo Bauer, Marcello Canova
2020 B conf
Acceleration of Simulation Models Through Automatic Conversion to FPGA Hardware.
FPL
Frans Skarman, Oscar Gustafsson, Daniel Jung, Mattias Krysander
2020 J jnl
Data-Driven Open Set Fault Classification and Fault Size Estimation Using Quantitative Fault Diagnosis Analysis.
CoRR
Andreas Lundgren, Daniel Jung
2020 J jnl
Data-Driven Open-Set Fault Classification of Residual Data Using Bayesian Filtering.
IEEE Trans. Control. Syst. Technol.
Daniel Jung
2020 J jnl
Integrated Approximate Dynamic Programming and Equivalent Consumption Minimization Strategy for Eco-Driving in a Connected and Automated Vehicle.
CoRR
Shreshta Rajakumar Deshpande, Daniel Jung, Marcello Canova
2020 J jnl
Sensor selection for fault diagnosis in uncertain systems.
Int. J. Control
Daniel Jung, Yi Dong, Erik Frisk, Mattias Krysander, Gautam Biswas
2020 — conf
Structural Methods for Distributed Fault Diagnosis of Large-Scale Systems.
CDC
Daniel Jung
2019 J jnl
A Combined Data-Driven and Model-Based Residual Selection Algorithm for Fault Detection and Isolation.
IEEE Trans. Control. Syst. Technol.
Daniel Jung, Christofer Sundström
2019 J jnl
Asymptotic behavior of a fault diagnosis performance measure for linear systems.
Autom.
Jan Åslund, Erik Frisk, Daniel Jung
2019 J jnl
Isolation and Localization of Unknown Faults Using Neural Network-Based Residuals.
CoRR
Daniel Jung
2018 C conf
Design Space Exploration for Powertrain Electrification using Gaussian Processes.
ACC
Daniel Jung, Qadeer Ahmed, Giorgio Rizzoni
2018 J jnl
Residual selection for fault detection and isolation using convex optimization.
Autom.
Daniel Jung, Erik Frisk
2018 C conf
Sensor Selection for Fault Detection and Isolation in Structurally Reconfigurable Systems.
ACC
Eeshan Deosthale, Daniel Jung, Qadeer Ahmed
2016 — conf
Analysis of optimal energy management in smart homes using MPC.
ECC
Christofer Sundström, Daniel Jung, Anders Blom
2015 — —
Diagnosability performance analysis of models and fault detectors.
Daniel Jung