Michael Platzer

According to our database, Michael Platzer authored at least 18 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Improving Predictions on Highly Unbalanced Data Using Open Source Synthetic Data Upsampling.

Ivona Krchova, Michael Platzer, Paul Tiwald

CoRR, July, 2025

Benchmarking Synthetic Tabular Data: A Multi-Dimensional Evaluation Framework.

Andrey Sidorenko, Michael Platzer, Mario Scriminaci, Paul Tiwald

CoRR, April, 2025

TabularARGN: A Flexible and Efficient Auto-Regressive Framework for Generating High-Fidelity Synthetic Data.

Paul Tiwald, Ivona Krchova, Andrey Sidorenko, Mariana Vargas Vieyra, Mario Scriminaci, Michael Platzer

CoRR, January, 2025

2023

Strong statistical parity through fair synthetic data.

Ivona Krchova, Michael Platzer, Paul Tiwald

CoRR, 2023

2022

A deep recurrent neural network approach to learn sequence similarities for user-identification.

Stefan Vamosi, Thomas Reutterer, Michael Platzer

Decis. Support Syst., 2022

Rule-adhering synthetic data - the lingua franca of learning.

Michael Platzer, Ivona Krchova

CoRR, 2022

AI-based Re-identification of Behavioral Clickstream Data.

Stefan Vamosi, Michael Platzer, Thomas Reutterer

CoRR, 2022

2021

Holdout-Based Empirical Assessment of Mixed-Type Synthetic Data.

Michael Platzer, Thomas Reutterer

Frontiers Big Data, 2021

Holdout-Based Fidelity and Privacy Assessment of Mixed-Type Synthetic Data.

Michael Platzer, Thomas Reutterer

CoRR, 2021

A Processor Extension for Time-Predictable Code Execution.

Michael Platzer, Peter P. Puschner

Proceedings of the 24th IEEE International Symposium on Real-Time Distributed Computing, 2021

Vicuna: A Timing-Predictable RISC-V Vector Coprocessor for Scalable Parallel Computation.

Michael Platzer, Peter P. Puschner

Proceedings of the 33rd Euromicro Conference on Real-Time Systems, 2021

2020

An Instruction Filter for Time-Predictable Code Execution on Standard Processors.

Michael Platzer, Peter P. Puschner

Proceedings of the Computer Safety, Reliability, and Security. SAFECOMP 2020 Workshops, 2020

A Real-Time Application with Fully Predictable Task Timing.

Michael Platzer, Peter P. Puschner

Proceedings of the 23rd IEEE International Symposium on Real-Time Distributed Computing, 2020

2019

Adaptive Fault Detection Exploiting Redundancy with Uncertainties in Space and Time.

Denise Ratasich, Michael Platzer, Radu Grosu, Ezio Bartocci

Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems, 2019

2018

CPS/IoT Ecosystem: A Platform for Research and Education.

Haris Isakovic, Denise Ratasich, Christian Hirsch, Michael Platzer, Bernhard Wally, Thomas Rausch, Dejan Nickovic, Willibald Krenn, Gerti Kappel, Schahram Dustdar, Radu Grosu

Proceedings of the Cyber Physical Systems. Model-Based Design - 8th International Workshop, 2018

2016

Ticking Away the Moments: Timing Regularity Helps to Better Predict Customer Activity.

Michael Platzer, Thomas Reutterer

Mark. Sci., 2016

2013

New robot concept for ultra high performance press tending robot system.

Michael Platzer, Xiaolong Feng, Daniel Wappling, Nathan Baumli, Rajendra Patel, Roger Pons, Ramon Casanelles, Jakob Westrom

Proceedings of the 44th Internationel Symposium on Robotics, 2013

Design and analysis of PKM robots for ultra fast blanking.

Nathan Baumli, Rajendra Patel, Michael Platzer, Roger Pons, Ramon Casanelles, Daniel Wappling, Xiaolong Feng

Proceedings of the 44th Internationel Symposium on Robotics, 2013