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Ansgar Steland
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2020 – today
- 2024
- [j10]Ansgar Steland:
Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices. J. Multivar. Anal. 199: 105245 (2024) - [c1]Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies:
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS 2024: 1333-1341 - [i7]Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies:
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR abs/2402.18260 (2024) - 2023
- [i6]Ansgar Steland:
On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks. CoRR abs/2310.08150 (2023) - 2022
- [j9]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 16(4): 823-846 (2022) - 2021
- [j8]Sergiu Deitsch, Claudia Buerhop-Lutz, Evgenii Sovetkin, Ansgar Steland, Andreas Maier, Florian Gallwitz, Christian Riess:
Segmentation of photovoltaic module cells in uncalibrated electroluminescence images. Mach. Vis. Appl. 32(4): 84 (2021) - [i5]Ansgar Steland, Bart E. Pieters:
Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors. CoRR abs/2101.01990 (2021) - 2020
- [j7]Ansgar Steland:
Testing and estimating change-points in the covariance matrix of a high-dimensional time series. J. Multivar. Anal. 177: 104582 (2020) - [i4]Ansgar Steland:
Extreme Learning and Regression for Objects Moving in Non-Stationary Spatial Environments. CoRR abs/2005.11115 (2020) - [i3]Sarah Friedrich, Gerd Antes, Sigrid Behr, Harald Binder, Werner Brannath, Florian Dumpert, Katja Ickstadt, Hans A. Kestler, Johannes Lederer, Heinz Leitgöb, Markus Pauly, Ansgar Steland, Adalbert F. X. Wilhelm, Tim Friede:
Is there a role for statistics in artificial intelligence? CoRR abs/2009.09070 (2020)
2010 – 2019
- 2019
- [j6]Evgenii Sovetkin, Ansgar Steland:
Automatic processing and solar cell detection in photovoltaic electroluminescence images. Integr. Comput. Aided Eng. 26(2): 123-137 (2019) - 2018
- [i2]Ansgar Steland:
On Convergence of Moments for Approximating Processes and Applications to Surrogate Models. CoRR abs/1804.10821 (2018) - [i1]Evgenii Sovetkin, Ansgar Steland:
Automatic Processing and Solar Cell Detection in Photovoltaic Electroluminescence Images. CoRR abs/1807.10820 (2018) - 2013
- [j5]Miroslaw Pawlak, Ansgar Steland:
Nonparametric Sequential Signal Change Detection Under Dependent Noise. IEEE Trans. Inf. Theory 59(6): 3514-3531 (2013) - 2012
- [j4]Nina Golyandina, Andrey Pepelyshev, Ansgar Steland:
New approaches to nonparametric density estimation and selection of smoothing parameters. Comput. Stat. Data Anal. 56(7): 2206-2218 (2012) - [j3]Ansgar Steland:
Sequential Data-Adaptive Bandwidth Selection by Cross-Validation for Nonparametric Prediction. Commun. Stat. Simul. Comput. 41(7): 1195-1219 (2012) - 2010
- [j2]Ewaryst Rafajlowicz, Miroslaw Pawlak, Ansgar Steland:
Nonparametric sequential change-point detection by a vertically trimmed box method. IEEE Trans. Inf. Theory 56(7): 3621-3634 (2010)
2000 – 2009
- 2008
- [j1]Ewaryst Rafajlowicz, Miroslaw Pawlak, Ansgar Steland:
Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression. Int. J. Appl. Math. Comput. Sci. 18(1): 49-61 (2008)
Coauthor Index
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last updated on 2024-08-05 21:17 CEST by the dblp team
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