Maurice Kuschel

Signal- und Systemtheorie (SST)
maurice.kuschel@sst.uni-paderborn.de
ID
56070

5 Publications

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[5]
2024 | Conference Paper | LibreCat-ID: 53304
M. Kuschel, T. Hasija, and T. Marrinan, “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning,” 2024, doi: 10.1109/icassp48485.2024.10446173.
LibreCat | DOI
 
[4]
2023 | Journal Article | LibreCat-ID: 53301
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing a deep canonical correlation-based technique for seizure prediction,” Expert Systems with Applications, vol. 234, Art. no. 120986, 2023, doi: 10.1016/j.eswa.2023.120986.
LibreCat | DOI
 
[3]
2023 | Conference Paper | LibreCat-ID: 53303
M. Kuschel, T. Marrinan, and T. Hasija, “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis,” 2023, doi: 10.1109/mlsp55844.2023.10285937.
LibreCat | DOI
 
[2]
2022 | Book Chapter | LibreCat-ID: 53306
H. G. Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,” in Communications in Computer and Information Science, Cham: Springer International Publishing, 2022.
LibreCat | DOI
 
[1]
2020 | Conference Paper | LibreCat-ID: 53305
H. G. Mohammadi et al., “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020, doi: 10.1109/etfa46521.2020.9211880.
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5 Publications

Mark all

[5]
2024 | Conference Paper | LibreCat-ID: 53304
M. Kuschel, T. Hasija, and T. Marrinan, “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning,” 2024, doi: 10.1109/icassp48485.2024.10446173.
LibreCat | DOI
 
[4]
2023 | Journal Article | LibreCat-ID: 53301
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing a deep canonical correlation-based technique for seizure prediction,” Expert Systems with Applications, vol. 234, Art. no. 120986, 2023, doi: 10.1016/j.eswa.2023.120986.
LibreCat | DOI
 
[3]
2023 | Conference Paper | LibreCat-ID: 53303
M. Kuschel, T. Marrinan, and T. Hasija, “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis,” 2023, doi: 10.1109/mlsp55844.2023.10285937.
LibreCat | DOI
 
[2]
2022 | Book Chapter | LibreCat-ID: 53306
H. G. Mohammadi et al., “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics,” in Communications in Computer and Information Science, Cham: Springer International Publishing, 2022.
LibreCat | DOI
 
[1]
2020 | Conference Paper | LibreCat-ID: 53305
H. G. Mohammadi et al., “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020, doi: 10.1109/etfa46521.2020.9211880.
LibreCat | DOI
 
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Citation Style: IEEE

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