5 Publications

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[5]
2024 | Conference Paper | LibreCat-ID: 53304
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning
M. Kuschel, T. Hasija, T. Marrinan, in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024.
LibreCat | DOI
 
[4]
2023 | Journal Article | LibreCat-ID: 53301
Developing a deep canonical correlation-based technique for seizure prediction
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert Systems with Applications 234 (2023).
LibreCat | DOI
 
[3]
2023 | Conference Paper | LibreCat-ID: 53303
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023.
LibreCat | DOI
 
[2]
2022 | Book Chapter | LibreCat-ID: 53306
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H.G. Mohammadi, F.P. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Communications in Computer and Information Science, Springer International Publishing, Cham, 2022.
LibreCat | DOI
 
[1]
2020 | Conference Paper | LibreCat-ID: 53305
DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms
H.G. Mohammadi, R. Arshad, S. Rautmare, S. Manjunatha, M. Kuschel, F.P. Jentzsch, M. Platzner, A. Boschmann, D. Schollbach, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020.
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5 Publications

Mark all

[5]
2024 | Conference Paper | LibreCat-ID: 53304
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning
M. Kuschel, T. Hasija, T. Marrinan, in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024.
LibreCat | DOI
 
[4]
2023 | Journal Article | LibreCat-ID: 53301
Developing a deep canonical correlation-based technique for seizure prediction
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert Systems with Applications 234 (2023).
LibreCat | DOI
 
[3]
2023 | Conference Paper | LibreCat-ID: 53303
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023.
LibreCat | DOI
 
[2]
2022 | Book Chapter | LibreCat-ID: 53306
FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics
H.G. Mohammadi, F.P. Jentzsch, M. Kuschel, R. Arshad, S. Rautmare, S. Manjunatha, M. Platzner, A. Boschmann, D. Schollbach, in: Communications in Computer and Information Science, Springer International Publishing, Cham, 2022.
LibreCat | DOI
 
[1]
2020 | Conference Paper | LibreCat-ID: 53305
DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms
H.G. Mohammadi, R. Arshad, S. Rautmare, S. Manjunatha, M. Kuschel, F.P. Jentzsch, M. Platzner, A. Boschmann, D. Schollbach, in: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2020.
LibreCat | DOI
 

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