Stefan Scharoba

Publication Activity (10 Years)

Years Active: 2015-2022
Publications (10 Years): 10

Top Topics

Design Space Exploration

Machine Learning

Top Venues

Publications

Safdar Mahmood, Stefan Scharoba, Jonas Schorlemer, Christian Schulz, Michael Hübner, Marc Reichenbach
Detecting Improvised Land-mines using Deep Neural Networks on GPR Image Dataset targeting FPGAs. NorCAS (2022)
Florian Fricke, Stefan Scharoba, Sebastian Rachuj, Andreas Konopik, Florian Kluge, Georg Hofstetter, Marc Reichenbach
Application Runtime Estimation for AURIX Embedded MCU Using Deep Learning. SAMOS (2022)
Stefan Scharoba, Kai-Uwe Basener, Jens Bielefeldt, Hans-Werner Wiesbrock, Michael Hübner
Towards Machine Learning Support for Embedded System Tests. DSD (2021)
Jens Bielefeldt, Kai-Uwe Basener, Siddique Reza Khan, Mozhdeh Massah, Hans-Werner Wiesbrock, Stefan Scharoba, Michael Hübner
DeepTest: How Machine Learning Can Improve the Test of Embedded Systems. MECO (2021)
Jens Bielefeldt, Kai-Uwe Basener, Siddique Reza Khan, Mozhdeh Massah, Hans-Werner Wiesbrock, Stefan Scharoba, Michael Hübner
Einsatz von Deep Learning für den Test Eingebetteter Systeme. GI-Jahrestagung (2021)
Stefan Scharoba, Heinrich Theodor Vierhaus
Fast power overhead prediction for hardware redundancy-based fault tolerance. IOLTS (2017)
Stefan Scharoba, Heinrich Theodor Vierhaus
An Interactive Design Space Exploration Tool for Dependable Integrated Circuits. DSD (2016)
Mario Schölzel, Tobias Koal, Sebastian Müller, Stefan Scharoba, Stephanie Roder, Heinrich Theodor Vierhaus
A comprehensive software-based self-test and self-repair method for statically scheduled superscalar processors. LATS (2016)
Tobias Koal, Stefan Scharoba, Heinrich Theodor Vierhaus
Combining Correction of Delay Faults and Transient Faults. DDECS (2015)
Sebastian Müller, Tobias Koal, Stefan Scharoba, Heinrich Theodor Vierhaus, Mario Schölzel
A multi-layer software-based fault-tolerance approach for heterogenous multi-core systems. LATS (2015)