Biblio
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(2016). Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen.
Die Basis der Vielfalt - 10. Tagung der DGfGG.
(2018). Automatic classification of non-small cell lung cancer histologic sub-types by deep learning.
VIRCHOWS ARCHIV. 108-108.
(2006). Comparison of Voronoi based scatterd data interpolation schemes.
(Villanueva, J.J., Ed.).Proceedings of the Internationl Conference on Visualization, Imaging and Image Processing. 
VoronoiInterp.pdf (4.63 MB)
VoronoiInterp.pdf (4.63 MB)
(2019). Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms.
ICDAR-OST: The 2nd International Workshop on Open Services and Tools for Document Analysis. Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms.pdf (776.45 KB)
Fast and Reliable Acquisition of Truth Data for Document Analysis using Cyclic Suggest Algorithms.pdf (776.45 KB)
(2009). Implicit Wiener series analysis of epileptic seizure recordings..
{Ann. Intl. Conf. of the IEEE Engineering in Medicine and Biology Society}. 5304–5307. Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
Barbero et al._2009_Implicit Wiener series analysis of epileptic seizure recordings.pdf (327.26 KB)
(2017). Learning embeddings for speaker clustering based on voice equality.
Machine Learning for Signal Processing (MLSP), 2017 IEEE 27th International Workshop on. 1–6. MLSP_2017.pdf (1.34 MB)
MLSP_2017.pdf (1.34 MB)
(1998). Navigation in real and virtual environments: judging orientation and distance in a large-scale landscape.
(Goebel, M., Lang U., Landauer J., & Walper M., Ed.).{Virtual Environment 98: Proc. of the Eurographics Workshop 1998}. 124 – 133.
(2021). Probabilistic short-term low-voltage load forecasting using bernstein-polynomial normalizing flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual.
(2021). Probabilistic Short-Term Low-Voltage Load Forecasting using Bernstein-Polynomial Normalizing Flows.
ICML 2021, Workshop Tackling Climate Change with Machine Learning, June 26, 2021, virtual. Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
Arpogaus2021_Probabilistic_Forecasting.pdf (427.35 KB)
(2016). Speaker Identification and Clustering using Convolution Neural Networks.
IEEE International workshop on Machine Learning for Signal Processing.
(2015). Design of a dual species atom interferometer for space.
Experimental Astronomy. 39, 167-206. Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
Schuldt et al._2015_Design of a dual species atom interferometer for space.pdf (2.98 MB)
(2002). Dynamic percolation theory for particle diffusion in a polymer network.
The Journal of chemical physics. 117, 441–447.
(2016). Existence of an attractor for a geometric tetrahedron transformation.
Differential Geom. Appl.. 49,
(2018). Fractal Curves from Prime Trigonometric Series.
Fractal Fract.. 2(2),
(2017). A geometric mesh smoothing algorithm related to damped oscillations.
Comput Methods Appl Mech Eng. 326C,
(2018). GETOpt mesh smoothing: Putting GETMe in the framework of global optimization-based schemes.
Finite Elem. Anal. Des.. 147,
(2023). Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows.
IEEE Transactions on Smart Grid.
(2014). STE-QUEST — Test of the universality of free fall using cold atom interferometry.
Classical and Quantum Gravity. 31, 115010. Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)
Aguilera, Ahlers_2014_STE-QUEST—test of the universality of free fall using cold atom interferometry.pdf (778.56 KB)