Sebastian Raubitzek

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Interpolation Method

Machine Learning

Top Venues

ESORICS Workshops (2)

Publications

Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture. CoRR (2024)
Sebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, Kevin Mallinger
Scaling Exponents of Time Series Data: A Machine Learning Approach. Entropy 25 (12) (2023)
Sebastian Schrittwieser, Elisabeth Wimmer, Kevin Mallinger, Patrick Kochberger, Caroline Lawitschka, Sebastian Raubitzek, Edgar R. Weippl
Modeling Obfuscation Stealth Through Code Complexity. ESORICS Workshops (2) (2023)
Sebastian Raubitzek, Kevin Mallinger
On the Applicability of Quantum Machine Learning. Entropy 25 (7) (2023)
Sebastian Raubitzek, Kevin Mallinger, Thomas Neubauer
Combining Fractional Derivatives and Machine Learning: A Review. Entropy 25 (1) (2023)
Sebastian Raubitzek, Thomas Neubauer
An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data. Entropy 24 (3) (2022)
Sebastian Raubitzek, Thomas Neubauer, Jan Friedrich, Andreas Rauber
Interpolating Strange Attractors via Fractional Brownian Bridges. Entropy 24 (5) (2022)
Sebastian Raubitzek, Thomas Neubauer
Taming the Chaos in Neural Network Time Series Predictions. Entropy 23 (11) (2021)
Sebastian Raubitzek, Thomas Neubauer
Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review. Entropy 23 (12) (2021)
Sebastian Raubitzek, Thomas Neubauer
A fractal interpolation approach to improve neural network predictions for difficult time series data. Expert Syst. Appl. 169 (2021)
Sebastian Raubitzek, Thomas Neubauer
Machine Learning and Chaos Theory in Agriculture. ERCIM News 2020 (122) (2020)