Sebastian Raubitzek

According to our database, Sebastian Raubitzek authored at least 10 papers between 2020 and 2023.

Collaborative distances:

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

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