Artur Mrowca
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Security in automotive networks: Lightweight authentication and authorization
P Mundhenk, A Paverd, A Mrowca, S Steinhorst, M Lukasiewycz, ...
ACM Transactions on Design Automation of Electronic Systems (TODAES) 22 (2 …, 2017
Pre-ignition detection using deep neural networks: A step towards data-driven automotive diagnostics
P Wolf, A Mrowca, TT Nguyen, B Bäker, S Günnemann
2018 21st International conference on intelligent transportation systems …, 2018
Open source model and simulator for real-time performance analysis of automotive network security
P Mundhenk, A Mrowca, S Steinhorst, M Lukasiewycz, SA Fahmy, ...
Acm Sigbed Review 13 (3), 8-13, 2016
Learning temporal specifications from imperfect traces using bayesian inference
A Mrowca, M Nocker, S Steinhorst, S Günnemann
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
Discovering groups of signals in in-vehicle network traces for redundancy detection and functional grouping
A Mrowca, B Moser, S Günnemann
Machine Learning and Knowledge Discovery in Databases: European Conference …, 2019
Context by proxy: Identifying contextual anomalies using an output proxy
JP Schulze, A Mrowca, E Ren, HA Loeliger, K Böttinger
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
Automated interpretation and reduction of in-vehicle network traces at a large scale
A Mrowca, T Pramsohler, S Steinhorst, U Baumgarten
Proceedings of the 55th Annual Design Automation Conference, 1-6, 2018
Analysing the driving load on electric vehicles using unsupervised segmentation models as enabler to determine the time of battery replacement and assess driving mileage
TT Nguyen, A Mrowca, B Moser, A Jossen
2018 Thirteenth International Conference on Ecological Vehicles and …, 2018
Generalizing application agnostic remaining useful life estimation using data-driven open source algorithms
B Schlegel, A Mrowca, P Wolf, B Sick, S Steinhorst
2018 IEEE 3rd International Conference on Big Data Analysis (ICBDA), 102-111, 2018
Temporal state change Bayesian networks for modeling of evolving multivariate state sequences: model, structure discovery and parameter estimation
A Mrowca, F Gyrock, S Günnemann
Data Mining and Knowledge Discovery 36 (1), 240-294, 2022
Specification Mining in High dimensional Heterogeneous Data Sets of Large-Scale Distributed Systems
A Mrowca
Technische Universität München, 2021
Context by Proxy
JP Schulze, A Mrowca, E Ren, HA Loeliger, K Böttinger
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019
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