Artur Mrowca
Artur Mrowca
Verifierad e-postadress på mytum.de
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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
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2018
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
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
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
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