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ORCIDSebastian Raubitzek
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2020 – today
- 2024
[j10]Sebastian Raubitzek
, Alexander Schatten, Philip König, Edina Marica, Sebastian Eresheim, Kevin Mallinger:
Autocatalytic Sets and Assembly Theory: A Toy Model Perspective. Entropy 26(9): 808 (2024)- [j9]Sebastian Raubitzek, Sebastian Schrittwieser, Elisabeth Wimmer, Kevin Mallinger:
Obfuscation undercover: Unraveling the impact of obfuscation layering on structural code patterns. J. Inf. Secur. Appl. 85: 103850 (2024) - [c2]Sebastian Raubitzek, Sebastian Schrittwieser, Caroline Lawitschka, Kevin Mallinger, Andreas Ekelhart, Edgar R. Weippl:
Code Obfuscation Classification Using Singular Value Decomposition on Grayscale Image Representations. SECRYPT 2024: 323-333 - [i2]Georg Goldenits, Kevin Mallinger, Sebastian Raubitzek, Thomas Neubauer:
Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture. CoRR abs/2406.08854 (2024) - 2023
- [j8]Sebastian Raubitzek, Kevin Mallinger, Thomas Neubauer:
Combining Fractional Derivatives and Machine Learning: A Review. Entropy 25(1): 35 (2023) - [j7]Sebastian Raubitzek, Kevin Mallinger:
On the Applicability of Quantum Machine Learning. Entropy 25(7): 992 (2023) - [j6]Sebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, Kevin Mallinger:
Scaling Exponents of Time Series Data: A Machine Learning Approach. Entropy 25(12): 1671 (2023) - [c1]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: 392-408 - 2022
- [j5]Sebastian Raubitzek, Thomas Neubauer:
An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data. Entropy 24(3): 332 (2022) - [j4]Sebastian Raubitzek, Thomas Neubauer, Jan Friedrich, Andreas Rauber:
Interpolating Strange Attractors via Fractional Brownian Bridges. Entropy 24(5): 718 (2022) - 2021
- [j3]Sebastian Raubitzek, Thomas Neubauer:
Taming the Chaos in Neural Network Time Series Predictions. Entropy 23(11): 1424 (2021) - [j2]Sebastian Raubitzek, Thomas Neubauer:
Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review. Entropy 23(12): 1672 (2021) - [j1]Sebastian Raubitzek, Thomas Neubauer:
A fractal interpolation approach to improve neural network predictions for difficult time series data. Expert Syst. Appl. 169: 114474 (2021) - 2020
- [i1]Sebastian Raubitzek, Thomas Neubauer:
Machine Learning and Chaos Theory in Agriculture. ERCIM News 2020(122) (2020)
Coauthor Index
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