Maurice Kuschel

According to our database, Maurice Kuschel authored at least 5 papers between 2020 and 2024.

Collaborative distances:

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

2024

Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning.

Maurice Kuschel, Tanuj Hasija, Timothy Marrinan

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Developing a deep canonical correlation-based technique for seizure prediction.

Solveig Vieluf, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, Tobias Loddenkemper

Expert Syst. Appl., December, 2023

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.

Maurice Kuschel, Timothy Marrinan, Tanuj Hasija

Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

2021

FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.

Hassan Ghasemzadeh Mohammadi, Felix Paul Jentzsch, Maurice Kuschel, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann, Dirk Schollbach

Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2021

2020

DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.

Hassan Ghasemzadeh Mohammadi, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha, Maurice Kuschel, Felix Paul Jentzsch, Marco Platzner, Alexander Boschmann, Dirk Schollbach

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020