Biblio
]
(2022). Validation study of an algorithm based on artificial intelligence for automated computation of coronal parameters on preoperative AP X-rays.
Brain and Spine. 2, 101156.
(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)
(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)
(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.
(2023). Short-term density forecasting of low-voltage load using Bernstein-polynomial normalizing flows.
IEEE Transactions on Smart Grid.
(2007). Numerische Simulation von Zwei-Phasen Strömungen mit inkompressiblen Navier-Stokes Gleichungen und freiem Kapillarrand.
Fakultät für Mathematik und Physik .
(2022). Crowd Management in der Lehre.
Seamless Learning, Grenz- und kontextübergreifendes Lehren und Lernen in der Bodenseeregion. 123-132.
(2022). Mathematik mit digitalen Bildern sichtbar machen.
Seamless Learning, Grenz- und kontextübergreifendes Lehren und Lernen in der Bodenseeregion. 133-145.
(2016). Finite Element Simulation of a Macroscopic Model for Pedestrian Flow.
Traffic and Granular Flow. 10.1007/978-3-319-33482-0_30, 233–240.
(2003). Constraints measures and reproduction of style in robot imitation learning.
(Bülthoff, H. H., Gegenfurtner K. R., Mallot H. A., Ulrich R., & Wichmann F. A., Ed.).{Proc. 6. Tübinger Wahrnehmungskonferenz (TWK 2003)}. 70.
(2004). Multivariate Regression via Stiefel Manifold Constraints.
(Rasmussen, C. E., Bülthoff H. H., Giese M. A., & Schölkopf B., Ed.).{Pattern Recognition, Proc. of the 26th DAGM Symposium (DAGM 2004)}. 262-269.
(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)
(2012). A hand-held laser scanner based on multi-camera stereo-matching.
Visualization of Large and Unstructured Data Sets - Applications in Geospatial Planning, Modeling and Engineering (IRTG 1131 Workshop. LaserScannerStereoMatching.pdf (584.47 KB)
LaserScannerStereoMatching.pdf (584.47 KB)
(2022). 140. Automated measurement technique for coronal parameters using a novel artificial intelligence algorithm: an independent validation study on 100 preoperative AP spine X-rays.
The Spine Journal. 22, S74.
(2023). Novel AI-Based Algorithm for the Automated Computation of Coronal Parameters in Adolescent Idiopathic Scoliosis Patients: A Validation Study on 100 Preoperative Full Spine X-Rays.
Global Spine Journal. 21925682231154543.
(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)
(2007). Natural neighbor concepts in scattered data interpolation and discrete function approximation.
(Hagen, H., Hering-Bertram M., & Garth C., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. NatNeighborConcepts.pdf (1.21 MB)
NatNeighborConcepts.pdf (1.21 MB)
(2007). Discrete harmonic functions from local coordinates.
(Martin, R., Sabin M., & Winkler J., Ed.).Mathematics of Surfaces XII. HarmonicFunc.pdf (835.96 KB)
HarmonicFunc.pdf (835.96 KB)
(2006). Natural neighbor interpolation and order of continuity.
(Hagen, H., Kerren A., & Dannenmann P., Ed.).GI Lecture Notes in Informatics, Visualization of Large and Unstructured Data Sets. NatNeighborInterp.pdf (1.47 MB)
NatNeighborInterp.pdf (1.47 MB)
(2006). Issues and implementation of C^1 and C^2 natural neighbor interpolation.
(G. al., B. et, Ed.).Advances in Visual Computing. Part II. C1C2NeighborInterp.pdf (3.87 MB)
C1C2NeighborInterp.pdf (3.87 MB)
(2010). Geometric properties of the adaptice Delaunay tessellation.
(Dæhlen, M., Floater M.S., Lyche T., Merrien J.-L., Morken K., & Schumaker L.L., Ed.).Mathematical Methods of Curves and Surfaces, Tondsberg 2008. ADTProperties.pdf (335.14 KB)
ADTProperties.pdf (335.14 KB)
(2009). Natural neighbor extrapolation using ghost points.
Computer Aided-Design. 41, 350-365. Extrapolation.pdf (2.22 MB)
Extrapolation.pdf (2.22 MB)
(2023). Development and application of a climate emulator.
EGU23.
(2017). A geometric mesh smoothing algorithm related to damped oscillations.
Comput Methods Appl Mech Eng. 326C,
(2016). Von der Symmetriegruppe des Dreiecks zur Glättung von industriellen Netzen.
Die Basis der Vielfalt - 10. Tagung der DGfGG.