Items where Author is "Raubitzek, Sebastian"

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Number of items: 12.

  • Boost-Classifier-Driven Fault Prediction Across Heterogeneous Open-Source Repositories
    König, Philip and Raubitzek, Sebastian and Schatten, Alexander and Toth, Dennis and Obermann, Fabian and König, Caroline and Mallinger, Kevin Big Data and Cognitive Computing, 9 (7). ISSN 2504-2289 (2025)

  • Tabular reinforcement learning for reward robust, explainable crop rotation policies matching deep reinforcement learning performance
    Goldenits, Georg and Neubauer, Thomas and Raubitzek, Sebastian and Mallinger, Kevin and Weippl, Edgar R. Computers and Electronics in Agriculture, 237, P. ISSN 0168-1699 (2025)

  • Quantum Inspired Kernel Matrices: Exploring Symmetry in Machine Learning
    Raubitzek, Sebastian and Schrittwieser, Sebastian and Schatten, Alexander and Mallinger, Kevin Physics Letters A, 525. ISSN 1793-6632 (2024)

  • Autocatalytic Sets and Assembly Theory: A Toy Model Perspective
    Raubitzek, Sebastian and Schatten, Alexander and König, Philip and Marica, Edina and Eresheim, Sebastian and Mallinger, Kevin Entropy, 26 (9). ISSN 1099-4300 (2024)

  • Obfuscation undercover: Unraveling the impact of obfuscation layering on structural code patterns
    Raubitzek, Sebastian and Schrittwieser, Sebastian and Wimmer, Elisabeth and Mallinger, Kevin Journal of Information Security and Applications, 85. ISSN 2214-2126 (2024)

  • Current applications and potential future directions of reinforcement learning-based Digital Twins in agriculture
    Goldenits, Georg and Mallinger, Kevin and Raubitzek, Sebastian and Neubauer, Thomas Smart Agriculture Technology, 8. ISSN 2772-3755 (2024)

  • Code Obfuscation Classification using Singular Value Decomposition on Grayscale Image Representations
    Raubitzek, Sebastian and Schrittwieser, Sebastian and Lawitschka, Caroline and Mallinger, Kevin and Ekelhart, Andreas and Weippl, Edgar R. In: SECRYPT , 8th - 10th July, 2024 , campus of ESEO Dijon, France (2024)

  • Potentials and limitations of complexity research for environmental sciences and modern farming applications
    Mallinger, Kevin and Raubitzek, Sebastian and Neubauer, Thomas and Lade, Steven Current Opinion in Environmental Sustainability, 101429 (67). ISSN 1877-3435 (2024)

  • Scaling Exponents of Time Series Data: A Machine Learning Approach
    Raubitzek, Sebastian and Corpaci, Luiza and Hofer, Rebecca and Mallinger, Kevin Entropy, 25 (12). ISSN 1099-4300 (2023)

  • Explainable AI in Predicting Anthropogenic Forest Fire Risk in Austria: A multi-criteria approach.
    Wimmer, Elisabeth and Mallinger, Kevin and Raubitzek, Sebastian and Lawitschka, Caroline and Neubauer, Thomas and Schrittwieser, Sebastian In: International Conference on Digitalization and Artificial Intelligence in Agricultural Management 2023 , 15-17th november 2023 , Digital Futures hub, Osquars Backe 5, floor 2 at KTH main campus Stockholm, Sweden (2023)

  • On the Applicability of Quantum Machine Learning
    Raubitzek, Sebastian and Mallinger, Kevin ISSN 1099-4300 (2023)

  • Information theory approach for enhancing time series analysis and predictability of soil environments
    Corpaci, Luiza and Raubitzek, Sebastian and Mallinger, Kevin In: EGU General Assembly 2022 , 23-27 May , Vienna (2022)

    • This list was generated on Tue Nov 4 07:08:26 2025 CET.
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