Christopher M. A. Bonenberger

According to our database, Christopher M. A. Bonenberger authored at least 9 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Multi-label semantic segmentation of magnetic resonance images of the prostate gland.

Mark Locherer, Christopher M. A. Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan-Philipp Radtke

Discov. Artif. Intell., 2024

Instance Segmentation with a Novel Tree Log Detection Dataset.

Julian Haasis, Christopher M. A. Bonenberger, Markus Schneider

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

A Note on Linear Time Series Prediction.

Christopher M. A. Bonenberger, Markus Schneider, Wolfgang Ertel, Friedhelm Schwenker

Proceedings of the KI 2024: Advances in Artificial Intelligence, 2024

2023

A Novel Approach to Spectral Estimation and Moving Average Model Parameter Estimation.

Christopher M. A. Bonenberger, Markus Schneider, Friedhelm Schwenker, Wolfgang Ertel

IEEE Signal Process. Lett., 2023

2022

Cyclic Nonlinear Correlation Analysis for Time Series.

Christopher M. A. Bonenberger, Friedhelm Schwenker, Wolfgang Ertel, Markus Schneider

IEEE Access, 2022

Singular Spectrum Analysis and Circulant Maximum Variance Frames.

Christopher M. A. Bonenberger, Wolfgang Ertel, Friedhelm Schwenker, Markus Schneider

Adv. Data Sci. Adapt. Anal., 2022

Structured Nonlinear Discriminant Analysis.

Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider, Friedhelm Schwenker

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

2021

κ-Circulant Maximum Variance Bases.

Christopher M. A. Bonenberger, Wolfgang Ertel, Markus Schneider

Proceedings of the KI 2021: Advances in Artificial Intelligence - 44th German Conference on AI, Virtual Event, September 27, 2021

2019

Feature-Based Gait Pattern Classification for a Robotic Walking Frame.

Christopher M. A. Bonenberger, Benjamin Kathan, Wolfgang Ertel

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2019