Machine Learning and Chaos Theory in Agriculture. - Sebastian Raubitzek; Thomas Neubauer (ERCIM News, 2020)

Taming the Chaos in Neural Network Time Series Predictions. - Sebastian Raubitzek; Thomas Neubauer (Entropy, 2021)

Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A Review. - Sebastian Raubitzek; Thomas Neubauer (Entropy, 2021)

A fractal interpolation approach to improve neural network predictions for difficult time series data. - Sebastian Raubitzek; Thomas Neubauer (Expert Syst. Appl., 2021)

An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market Data. - Sebastian Raubitzek; Thomas Neubauer (Entropy, 2022)

Interpolating Strange Attractors via Fractional Brownian Bridges. - Sebastian Raubitzek; Thomas Neubauer; Jan Friedrich; Andreas Rauber (Entropy, 2022)

Modeling Obfuscation Stealth Through Code Complexity. - Sebastian Schrittwieser; Elisabeth Wimmer; Kevin Mallinger; Patrick Kochberger; Caroline Lawitschka; Sebastian Raubitzek; Edgar R. Weippl (ESORICS Workshops (2), 2023)

Combining Fractional Derivatives and Machine Learning: A Review. - Sebastian Raubitzek; Kevin Mallinger; Thomas Neubauer (Entropy, 2023)

On the Applicability of Quantum Machine Learning. - Sebastian Raubitzek; Kevin Mallinger (Entropy, 2023)

Scaling Exponents of Time Series Data: A Machine Learning Approach. - Sebastian Raubitzek; Luiza Corpaci; Rebecca Hofer; Kevin Mallinger (Entropy, 2023)

Estimating Combinatorial t-Way Coverage Based on Matrix Complexity Metrics. - Luiza Corpaci; Michael Wagner 026; Sebastian Raubitzek; Ludwig Kampel; Kevin Mallinger; Dimitris E. Simos (ICTSS, 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 (SECRYPT, 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)

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)

Autocatalytic Sets and Assembly Theory: A Toy Model Perspective. - Sebastian Raubitzek; Alexander Schatten; Philip König; Edina Marica; Sebastian Eresheim; Kevin Mallinger (Entropy, 2024)

Tabular reinforcement learning for reward robust, explainable crop rotation policies matching deep reinforcement learning performance. - Georg Goldenits; Thomas Neubauer; Sebastian Raubitzek; Kevin Mallinger; Edgar R. Weippl (Comput. Electron. Agric., 2025)