@inproceedings{53304,
  author       = {{Kuschel, Maurice and Hasija, Tanuj and Marrinan, Timothy}},
  booktitle    = {{ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}},
  publisher    = {{IEEE}},
  title        = {{{Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning}}},
  doi          = {{10.1109/icassp48485.2024.10446173}},
  year         = {{2024}},
}

@article{53301,
  author       = {{Vieluf, Solveig and Hasija, Tanuj and Kuschel, Maurice and Reinsberger, Claus and Loddenkemper, Tobias}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  keywords     = {{Artificial Intelligence, Computer Science Applications, General Engineering}},
  publisher    = {{Elsevier BV}},
  title        = {{{Developing a deep canonical correlation-based technique for seizure prediction}}},
  doi          = {{10.1016/j.eswa.2023.120986}},
  volume       = {{234}},
  year         = {{2023}},
}

@inproceedings{53303,
  author       = {{Kuschel, Maurice and Marrinan, Timothy and Hasija, Tanuj}},
  booktitle    = {{2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)}},
  publisher    = {{IEEE}},
  title        = {{{Geodesic-Based Relaxation For Deep Canonical Correlation Analysis}}},
  doi          = {{10.1109/mlsp55844.2023.10285937}},
  year         = {{2023}},
}

@inbook{53306,
  author       = {{Mohammadi, Hassan Ghasemzadeh and Jentzsch, Felix Paul and Kuschel, Maurice and Arshad, Rahil and Rautmare, Sneha and Manjunatha, Suraj and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk}},
  booktitle    = {{Communications in Computer and Information Science}},
  isbn         = {{9783030937355}},
  issn         = {{1865-0929}},
  publisher    = {{Springer International Publishing}},
  title        = {{{FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics}}},
  doi          = {{10.1007/978-3-030-93736-2_27}},
  year         = {{2022}},
}

@inproceedings{53305,
  author       = {{Mohammadi, Hassan Ghasemzadeh and Arshad, Rahil and Rautmare, Sneha and Manjunatha, Suraj and Kuschel, Maurice and Jentzsch, Felix Paul and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk}},
  booktitle    = {{2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  publisher    = {{IEEE}},
  title        = {{{DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms}}},
  doi          = {{10.1109/etfa46521.2020.9211880}},
  year         = {{2020}},
}