Ansgar Steland

19 papers A 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Online Detection of Changes in Moment-Based Projections: When to Retrain Deep Learners or Update Portfolios? J. Mach. Learn. Res. Ansgar Steland
2024	A	`conf`	Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. AISTATS Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
2024	J	`jnl`	Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning. CoRR Jörn Tebbe, Christoph Zimmer, Ansgar Steland, Markus Lange-Hegermann, Fabian Mies
2024	J	`jnl`	Flexible nonlinear inference and change-point testing of high-dimensional spectral density matrices. J. Multivar. Anal. Ansgar Steland
2023	J	`jnl`	On Extreme Value Asymptotics of Projected Sample Covariances in High Dimensions with Applications in Finance and Convolutional Networks. CoRR Ansgar Steland
2022	J	`jnl`	Is there a role for statistics in artificial intelligence? Adv. Data Anal. Classif. 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
2021	J	`jnl`	Cross-Validation and Uncertainty Determination for Randomized Neural Networks with Applications to Mobile Sensors. CoRR Ansgar Steland, Bart E. Pieters
2021	J	`jnl`	Segmentation of photovoltaic module cells in uncalibrated electroluminescence images. Mach. Vis. Appl. Sergiu Deitsch, Claudia Buerhop-Lutz, Evgenii Sovetkin, Ansgar Steland, Andreas Maier, Florian Gallwitz, Christian Riess
2020	J	`jnl`	Extreme Learning and Regression for Objects Moving in Non-Stationary Spatial Environments. CoRR Ansgar Steland
2020	J	`jnl`	Is there a role for statistics in artificial intelligence? CoRR 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
2020	J	`jnl`	Testing and estimating change-points in the covariance matrix of a high-dimensional time series. J. Multivar. Anal. Ansgar Steland
2019	J	`jnl`	Automatic processing and solar cell detection in photovoltaic electroluminescence images. Integr. Comput. Aided Eng. Evgenii Sovetkin, Ansgar Steland
2018	J	`jnl`	Automatic Processing and Solar Cell Detection in Photovoltaic Electroluminescence Images. CoRR Evgenii Sovetkin, Ansgar Steland
2018	J	`jnl`	On Convergence of Moments for Approximating Processes and Applications to Surrogate Models. CoRR Ansgar Steland
2013	J	`jnl`	Nonparametric Sequential Signal Change Detection Under Dependent Noise. IEEE Trans. Inf. Theory Miroslaw Pawlak, Ansgar Steland
2012	J	`jnl`	New approaches to nonparametric density estimation and selection of smoothing parameters. Comput. Stat. Data Anal. Nina Golyandina, Andrey Pepelyshev, Ansgar Steland
2012	J	`jnl`	Sequential Data-Adaptive Bandwidth Selection by Cross-Validation for Nonparametric Prediction. Commun. Stat. Simul. Comput. Ansgar Steland
2010	J	`jnl`	Nonparametric sequential change-point detection by a vertically trimmed box method. IEEE Trans. Inf. Theory Ewaryst Rafajlowicz, Miroslaw Pawlak, Ansgar Steland
2008	J	`jnl`	Nonlinear Image Processing and Filtering: A Unified Approach Based on Vertically Weighted Regression. Int. J. Appl. Math. Comput. Sci. Ewaryst Rafajlowicz, Miroslaw Pawlak, Ansgar Steland