Beise, Hans-Peter; Albared, Mohammed; Stüber, Manfred
How confident and reliable are deep learning models for streamflow prediction under flood conditionsNatural Hazards. Bd. accepted for publication. Springer 2025
Vieira, Cândido; Lücken, Volker; Diewald, Andreas Richard et al.
Steering-Layer : A Hybrid DSP-Machine Learning Layer for Sensor DoA Estimation2024 15th German Microwave Conference (GeMiC) : March 11-13, 2024, Duisburg, Germany. NN: IEEE 2024 S. 245 - 248
Beise, Hans-Peter; Dias Da Cruz, Steve
Topological properties of basins of attraction of width bounded autoencodersAnalysis and Applications. Bd. 22. H. 6. 2024 S. 965 - 980
Schuler, Nicolas; Hoffmann, Maximilian; Beise, Hans-Peter et al.
Semi-supervised similarity learning in process-oriented case-based reasoningBramer, Max; Stahl, Frederic (Hrsg). Artificial Intelligence XL : SGAI International Conference on Artificial Intelligence (AI-2023). Cham: Springer Nature Switzerland 2023 S. 159 - 173
Schuler, Nicolas; Hoffmann, Maximilian; Beise, Hans-Peter et al.
Semi-supervised Similarity Learning in Process-Oriented Case-Based Reasoning.SGAI Conf. 2023 S. 159 - 173
Sokolowski, Jan; Schulz, Volker; Beise, Hans-Peter et al.
A hybrid objective function for robustness of artificial neural networks - estimation of parameters in a mechanical systemETNA - Electronic Transactions on Numerical Analysis. Bd. 56. 2022 S. 209 - 234
Gasperini, David; Biese, Hans-Peter; Schröder, Udo et al.
A multi-harmonic finite element method for scattering problems with small-amplitude boundary deformationsSIAM Journal on Scientific Computing. Bd. 44. H. 2. Society for Industrial & Applied Mathematics (SIAM) 2022 B197-B223
Gasperini, David; Beise, Hans-Peter; Schröder, Udo et al.
An analysis of the steepest descent method to efficiently compute the 3D acoustic single-layer operator in the high-frequency regimeIMA Journal of Numerical Analysis. Bd. 43. H. 3. Oxford University Press (OUP) 2022 S. 1831 - 1854
Beise, Hans-Peter; Frerick, Leonhard; Müller, Jürgen
Mixing operators with prescribed unimodular eigenvaluesErgodic Theory and Dynamical Systems. Bd. 42. H. 1. Cambridge University Press (CUP) 2022 S. 1 - 8
Gasperini, David; Beise, Hans-Peter; Schröder, Udo et al.
A frequency domain method for scattering problems with moving boundariesWave Motion. Bd. 102. Elsevier BV 2021 102717