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2020 – today
- 2023
[i5]Ivona Krchova, Michael Platzer, Paul Tiwald:
Strong statistical parity through fair synthetic data. CoRR abs/2311.03000 (2023)- 2022
- [j3]Stefan Vamosi, Thomas Reutterer
, Michael Platzer:
A deep recurrent neural network approach to learn sequence similarities for user-identification. Decis. Support Syst. 155: 113718 (2022) - [i4]Stefan Vamosi, Michael Platzer, Thomas Reutterer:
AI-based Re-identification of Behavioral Clickstream Data. CoRR abs/2201.10351 (2022) - [i3]Michael Platzer, Ivona Krchova:
Rule-adhering synthetic data - the lingua franca of learning. CoRR abs/2209.06679 (2022) - 2021
- [j2]Michael Platzer, Thomas Reutterer:
Holdout-Based Empirical Assessment of Mixed-Type Synthetic Data. Frontiers Big Data 4: 679939 (2021) - [c8]Michael Platzer, Peter P. Puschner:
Vicuna: A Timing-Predictable RISC-V Vector Coprocessor for Scalable Parallel Computation. ECRTS 2021: 1:1-1:18 - [c7]Michael Platzer, Peter P. Puschner:
A Processor Extension for Time-Predictable Code Execution. ISORC 2021: 34-42 - [i2]Michael Platzer, Thomas Reutterer:
Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data. CoRR abs/2104.00635 (2021) - 2020
- [c6]Michael Platzer, Peter P. Puschner:
A Real-Time Application with Fully Predictable Task Timing. ISORC 2020: 43-46 - [c5]Michael Platzer, Peter P. Puschner:
An Instruction Filter for Time-Predictable Code Execution on Standard Processors. SAFECOMP Workshops 2020: 111-122
2010 – 2019
- 2019
- [c4]Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci:
Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time. SASO 2019: 23-32 - [i1]Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci:
Adaptive Fault Detection exploiting Redundancy with Uncertainties in Space and Time. CoRR abs/1903.04326 (2019) - 2018
- [c3]Haris Isakovic, Denise Ratasich, Christian Hirsch, Michael Platzer, Bernhard Wally, Thomas Rausch, Dejan Nickovic, Willibald Krenn, Gerti Kappel, Schahram Dustdar, Radu Grosu:
CPS/IoT Ecosystem: A Platform for Research and Education. CyPhy/WESE 2018: 206-213 - 2016
- [j1]Michael Platzer, Thomas Reutterer:
Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity. Mark. Sci. 35(5): 779-799 (2016) - 2013
- [c2]Nathan Baumli, Rajendra Patel, Michael Platzer, Roger Pons, Ramon Casanelles, Daniel Wappling, Xiaolong Feng:
Design and analysis of PKM robots for ultra fast blanking. ISR 2013: 1-5 - [c1]Michael Platzer, Xiaolong Feng, Daniel Wappling, Nathan Baumli, Rajendra Patel, Roger Pons, Ramon Casanelles, Jakob Westrom:
New robot concept for ultra high performance press tending robot system. ISR 2013: 1-3
Coauthor Index
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