Sebastian Raubitzek

According to our database, Sebastian Raubitzek authored at least 14 papers between 2020 and 2024.

Collaborative distances:

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

2024

Autocatalytic Sets and Assembly Theory: A Toy Model Perspective.

Sebastian Raubitzek, Alexander Schatten, Philip König, Edina Marica, Sebastian Eresheim, Kevin Mallinger

Entropy, September, 2024

Obfuscation undercover: Unraveling the impact of obfuscation layering on structural code patterns.

Sebastian Raubitzek, Sebastian Schrittwieser, Elisabeth Wimmer, Kevin Mallinger

J. Inf. Secur. Appl., 2024

Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture.

Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer

CoRR, 2024

Code Obfuscation Classification Using Singular Value Decomposition on Grayscale Image Representations.

Sebastian Raubitzek, Sebastian Schrittwieser, Caroline Lawitschka, Kevin Mallinger, Andreas Ekelhart, Edgar R. Weippl

Proceedings of the 21st International Conference on Security and Cryptography, 2024

2023

Scaling Exponents of Time Series Data: A Machine Learning Approach.

Sebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, Kevin Mallinger

Entropy, December, 2023

On the Applicability of Quantum Machine Learning.

Sebastian Raubitzek, Kevin Mallinger

Entropy, July, 2023

Combining Fractional Derivatives and Machine Learning: A Review.

Sebastian Raubitzek, Kevin Mallinger, Thomas Neubauer

Entropy, January, 2023

Modeling Obfuscation Stealth Through Code Complexity.

Sebastian Schrittwieser, Elisabeth Wimmer, Kevin Mallinger, Patrick Kochberger, Caroline Lawitschka, Sebastian Raubitzek, Edgar R. Weippl

Proceedings of the Computer Security. ESORICS 2023 International Workshops, 2023

2022

Interpolating Strange Attractors via Fractional Brownian Bridges.

Sebastian Raubitzek, Thomas Neubauer, Jan Friedrich, Andreas Rauber

Entropy, 2022

An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data.

Sebastian Raubitzek, Thomas Neubauer

Entropy, 2022

2021

A fractal interpolation approach to improve neural network predictions for difficult time series data.

Sebastian Raubitzek, Thomas Neubauer

Expert Syst. Appl., 2021

Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review.

Sebastian Raubitzek, Thomas Neubauer

Entropy, 2021

Taming the Chaos in Neural Network Time Series Predictions.

Sebastian Raubitzek, Thomas Neubauer

Entropy, 2021

2020

Machine Learning and Chaos Theory in Agriculture.

Sebastian Raubitzek, Thomas Neubauer

ERCIM News, 2020