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Entropy (Basel, Switzerland)|December 23, 2023
Scaling Exponents of Time Series Data: A Machine Learning ApproachSebastian Raubitzek, Luiza Corpaci, Rebecca Hofer, et al.Entropy (Basel, Switzerland)|July 29, 2023
On the Applicability of Quantum Machine LearningSebastian Raubitzek, Kevin MallingerEntropy (Basel, Switzerland)|January 21, 2023
Combining Fractional Derivatives and Machine Learning: A ReviewSebastian Raubitzek, Kevin Mallinger, Thomas NeubauerSensors (Basel, Switzerland)|February 27, 2026
Mean Reversion and Heavy Tails: Characterizing Time-Series Data Using Ornstein-Uhlenbeck Processes and Machine LearningSebastian Raubitzek, Sebastian Schrittwieser, Georg Goldenits, et al.Entropy (Basel, Switzerland)|September 27, 2024
Autocatalytic Sets and Assembly Theory: A Toy Model PerspectiveSebastian Raubitzek, Alexander Schatten, Philip König, et al.Entropy (Basel, Switzerland)|December 24, 2021
Combining Measures of Signal Complexity and Machine Learning for Time Series Analyis: A ReviewSebastian Raubitzek, Thomas NeubauerEntropy (Basel, Switzerland)|March 25, 2022
An Exploratory Study on the Complexity and Machine Learning Predictability of Stock Market DataSebastian Raubitzek, Thomas NeubauerEntropy (Basel, Switzerland)|November 27, 2021
Taming the Chaos in Neural Network Time Series PredictionsSebastian Raubitzek, Thomas NeubauerEntropy (Basel, Switzerland)|May 28, 2022
Interpolating Strange Attractors via Fractional Brownian BridgesSebastian Raubitzek, Thomas Neubauer, Jan Friedrich, et al.Preventing Chronic Disease|January 4, 2024
Evaluation of a Distribution Model to Increase Access to Affordable Fruits and VegetablesKerri L Vasold, Karah Mantinan, Rebecca Hofer, et al.Pageof 2