Markus Schneider

23 papers A 4B 1Misc 5Journal 8Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	Misc	`conf`	Towards Systematic Evaluation of Computer Vision Models Under Data Anonymization. KI Sarah Weiß, Christopher Bonenberger, Tobias Niedermaier, Maik Knof, Benjamin Stähle, Markus Schneider
2024	Misc	`conf`	A Note on Linear Time Series Prediction. KI Christopher M. A. Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker
2024	Misc	`conf`	Instance Segmentation with a Novel Tree Log Detection Dataset. KI Julian Haasis, Christopher M. A. Bonenberger, Markus Schneider
2024	J	`jnl`	Multi-label semantic segmentation of magnetic resonance images of the prostate gland. Discov. Artif. Intell. Mark Locherer, Christopher M. A. Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan-Philipp Radtke
2023	J	`jnl`	A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation. IEEE Signal Process. Lett. Christopher M. A. Bonenberger, Markus Schneider, Friedhelm Schwenker, Wolfgang Ertel
2022	J	`jnl`	Cyclic Nonlinear Correlation Analysis for Time Series. IEEE Access Christopher M. A. Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider
2022	J	`jnl`	Singular Spectrum Analysis and Circulant Maximum Variance Frames. Adv. Data Sci. Adapt. Anal. Christopher M. A. Bonenberger, Wolfgang Ertel, Friedhelm Schwenker, Markus Schneider
2022	—	`conf`	Structured Nonlinear Discriminant Analysis. ECML/PKDD (1) Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider, Friedhelm Schwenker
2021	—	`conf`	Comparison of Anomaly Detection and Solution Strategies for Household Service Robotics using Knowledge Graphs. IICAIET Daniel Hofer, Pranav Krishna Prasad, Markus Schneider
2021	Misc	`conf`	κ-Circulant Maximum Variance Bases. KI Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider
2017	—	`—`	Expected similarity estimation for large-scale anomaly detection. Markus Schneider
2016	A	`conf`	Constant Time EXPected Similarity Estimation for Large-Scale Anomaly Detection. ECAI Markus Schneider, Wolfgang Ertel, Günther Palm
2016	J	`jnl`	Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection. CoRR Markus Schneider, Wolfgang Ertel, Fabio T. Ramos
2016	J	`jnl`	Expected similarity estimation for large-scale batch and streaming anomaly detection. Mach. Learn. Markus Schneider, Wolfgang Ertel, Fabio Ramos
2015	J	`jnl`	Constant Time EXPected Similarity Estimation using Stochastic Optimization. CoRR Markus Schneider, Wolfgang Ertel, Günther Palm
2015	B	`conf`	Expected similarity estimation for large scale anomaly detection. IJCNN Markus Schneider, Wolfgang Ertel, Günther Palm
2015	Misc	`conf`	Kernel Feature Maps from Arbitrary Distance Metrics. KI Markus Schneider, Wolfgang Ertel, Günther Palm
2014	A	`conf`	LAT: A simple Learning from Demonstration method. IROS Benjamin Reiner, Wolfgang Ertel, Heiko Posenauer, Markus Schneider
2014	A	`conf`	Transductive Learning for Multi-Task Copula Processes. ECAI Markus Schneider, Fabio Ramos
2014	J	`jnl`	Transductive Learning for Multi-Task Copula Processes. CoRR Markus Schneider, Fabio Ramos
2010	—	`conf`	Combining Gaussian Processes and Conventional Path Planning in a Learning from Demonstration Framework. Eurobot Conference Markus Schneider, Richard Cubek, Tobias Fromm, Wolfgang Ertel
2010	A	`conf`	Robot Learning by Demonstration with local Gaussian process regression. IROS Markus Schneider, Wolfgang Ertel
2009	—	`conf`	The Teaching-Box: A universal robot learning framework. ICAR Wolfgang Ertel, Markus Schneider, Richard Cubek, Michel Tokic