---
_id: '53304'
author:
- first_name: Maurice
  full_name: Kuschel, Maurice
  id: '56070'
  last_name: Kuschel
- first_name: Tanuj
  full_name: Hasija, Tanuj
  id: '43497'
  last_name: Hasija
- first_name: Timothy
  full_name: Marrinan, Timothy
  last_name: Marrinan
citation:
  ama: 'Kuschel M, Hasija T, Marrinan T. Rademacher Complexity Regularization for
    Correlation-Based Multiview Representation Learning. In: <i>ICASSP 2024 - 2024
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>.
    IEEE; 2024. doi:<a href="https://doi.org/10.1109/icassp48485.2024.10446173">10.1109/icassp48485.2024.10446173</a>'
  apa: Kuschel, M., Hasija, T., &#38; Marrinan, T. (2024). Rademacher Complexity Regularization
    for Correlation-Based Multiview Representation Learning. <i>ICASSP 2024 - 2024
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</i>.
    <a href="https://doi.org/10.1109/icassp48485.2024.10446173">https://doi.org/10.1109/icassp48485.2024.10446173</a>
  bibtex: '@inproceedings{Kuschel_Hasija_Marrinan_2024, title={Rademacher Complexity
    Regularization for Correlation-Based Multiview Representation Learning}, DOI={<a
    href="https://doi.org/10.1109/icassp48485.2024.10446173">10.1109/icassp48485.2024.10446173</a>},
    booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech
    and Signal Processing (ICASSP)}, publisher={IEEE}, author={Kuschel, Maurice and
    Hasija, Tanuj and Marrinan, Timothy}, year={2024} }'
  chicago: Kuschel, Maurice, Tanuj Hasija, and Timothy Marrinan. “Rademacher Complexity
    Regularization for Correlation-Based Multiview Representation Learning.” In <i>ICASSP
    2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing
    (ICASSP)</i>. IEEE, 2024. <a href="https://doi.org/10.1109/icassp48485.2024.10446173">https://doi.org/10.1109/icassp48485.2024.10446173</a>.
  ieee: 'M. Kuschel, T. Hasija, and T. Marrinan, “Rademacher Complexity Regularization
    for Correlation-Based Multiview Representation Learning,” 2024, doi: <a href="https://doi.org/10.1109/icassp48485.2024.10446173">10.1109/icassp48485.2024.10446173</a>.'
  mla: Kuschel, Maurice, et al. “Rademacher Complexity Regularization for Correlation-Based
    Multiview Representation Learning.” <i>ICASSP 2024 - 2024 IEEE International Conference
    on Acoustics, Speech and Signal Processing (ICASSP)</i>, IEEE, 2024, doi:<a href="https://doi.org/10.1109/icassp48485.2024.10446173">10.1109/icassp48485.2024.10446173</a>.
  short: 'M. Kuschel, T. Hasija, T. Marrinan, in: ICASSP 2024 - 2024 IEEE International
    Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024.'
date_created: 2024-04-05T14:40:34Z
date_updated: 2024-04-05T14:50:14Z
department:
- _id: '263'
doi: 10.1109/icassp48485.2024.10446173
language:
- iso: eng
publication: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech
  and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
status: public
title: Rademacher Complexity Regularization for Correlation-Based Multiview Representation
  Learning
type: conference
user_id: '56070'
year: '2024'
...
---
_id: '53301'
article_number: '120986'
author:
- first_name: Solveig
  full_name: Vieluf, Solveig
  last_name: Vieluf
- first_name: Tanuj
  full_name: Hasija, Tanuj
  id: '43497'
  last_name: Hasija
- first_name: Maurice
  full_name: Kuschel, Maurice
  id: '56070'
  last_name: Kuschel
- first_name: Claus
  full_name: Reinsberger, Claus
  id: '48978'
  last_name: Reinsberger
- first_name: Tobias
  full_name: Loddenkemper, Tobias
  last_name: Loddenkemper
citation:
  ama: Vieluf S, Hasija T, Kuschel M, Reinsberger C, Loddenkemper T. Developing a
    deep canonical correlation-based technique for seizure prediction. <i>Expert Systems
    with Applications</i>. 2023;234. doi:<a href="https://doi.org/10.1016/j.eswa.2023.120986">10.1016/j.eswa.2023.120986</a>
  apa: Vieluf, S., Hasija, T., Kuschel, M., Reinsberger, C., &#38; Loddenkemper, T.
    (2023). Developing a deep canonical correlation-based technique for seizure prediction.
    <i>Expert Systems with Applications</i>, <i>234</i>, Article 120986. <a href="https://doi.org/10.1016/j.eswa.2023.120986">https://doi.org/10.1016/j.eswa.2023.120986</a>
  bibtex: '@article{Vieluf_Hasija_Kuschel_Reinsberger_Loddenkemper_2023, title={Developing
    a deep canonical correlation-based technique for seizure prediction}, volume={234},
    DOI={<a href="https://doi.org/10.1016/j.eswa.2023.120986">10.1016/j.eswa.2023.120986</a>},
    number={120986}, journal={Expert Systems with Applications}, publisher={Elsevier
    BV}, author={Vieluf, Solveig and Hasija, Tanuj and Kuschel, Maurice and Reinsberger,
    Claus and Loddenkemper, Tobias}, year={2023} }'
  chicago: Vieluf, Solveig, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, and
    Tobias Loddenkemper. “Developing a Deep Canonical Correlation-Based Technique
    for Seizure Prediction.” <i>Expert Systems with Applications</i> 234 (2023). <a
    href="https://doi.org/10.1016/j.eswa.2023.120986">https://doi.org/10.1016/j.eswa.2023.120986</a>.
  ieee: 'S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing
    a deep canonical correlation-based technique for seizure prediction,” <i>Expert
    Systems with Applications</i>, vol. 234, Art. no. 120986, 2023, doi: <a href="https://doi.org/10.1016/j.eswa.2023.120986">10.1016/j.eswa.2023.120986</a>.'
  mla: Vieluf, Solveig, et al. “Developing a Deep Canonical Correlation-Based Technique
    for Seizure Prediction.” <i>Expert Systems with Applications</i>, vol. 234, 120986,
    Elsevier BV, 2023, doi:<a href="https://doi.org/10.1016/j.eswa.2023.120986">10.1016/j.eswa.2023.120986</a>.
  short: S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert
    Systems with Applications 234 (2023).
date_created: 2024-04-05T14:37:06Z
date_updated: 2024-04-05T14:49:56Z
department:
- _id: '263'
doi: 10.1016/j.eswa.2023.120986
intvolume: '       234'
keyword:
- Artificial Intelligence
- Computer Science Applications
- General Engineering
language:
- iso: eng
publication: Expert Systems with Applications
publication_identifier:
  issn:
  - 0957-4174
publication_status: published
publisher: Elsevier BV
status: public
title: Developing a deep canonical correlation-based technique for seizure prediction
type: journal_article
user_id: '56070'
volume: 234
year: '2023'
...
---
_id: '53303'
author:
- first_name: Maurice
  full_name: Kuschel, Maurice
  id: '56070'
  last_name: Kuschel
- first_name: Timothy
  full_name: Marrinan, Timothy
  last_name: Marrinan
- first_name: Tanuj
  full_name: Hasija, Tanuj
  id: '43497'
  last_name: Hasija
citation:
  ama: 'Kuschel M, Marrinan T, Hasija T. Geodesic-Based Relaxation For Deep Canonical
    Correlation Analysis. In: <i>2023 IEEE 33rd International Workshop on Machine
    Learning for Signal Processing (MLSP)</i>. IEEE; 2023. doi:<a href="https://doi.org/10.1109/mlsp55844.2023.10285937">10.1109/mlsp55844.2023.10285937</a>'
  apa: Kuschel, M., Marrinan, T., &#38; Hasija, T. (2023). Geodesic-Based Relaxation
    For Deep Canonical Correlation Analysis. <i>2023 IEEE 33rd International Workshop
    on Machine Learning for Signal Processing (MLSP)</i>. <a href="https://doi.org/10.1109/mlsp55844.2023.10285937">https://doi.org/10.1109/mlsp55844.2023.10285937</a>
  bibtex: '@inproceedings{Kuschel_Marrinan_Hasija_2023, title={Geodesic-Based Relaxation
    For Deep Canonical Correlation Analysis}, DOI={<a href="https://doi.org/10.1109/mlsp55844.2023.10285937">10.1109/mlsp55844.2023.10285937</a>},
    booktitle={2023 IEEE 33rd International Workshop on Machine Learning for Signal
    Processing (MLSP)}, publisher={IEEE}, author={Kuschel, Maurice and Marrinan, Timothy
    and Hasija, Tanuj}, year={2023} }'
  chicago: Kuschel, Maurice, Timothy Marrinan, and Tanuj Hasija. “Geodesic-Based Relaxation
    For Deep Canonical Correlation Analysis.” In <i>2023 IEEE 33rd International Workshop
    on Machine Learning for Signal Processing (MLSP)</i>. IEEE, 2023. <a href="https://doi.org/10.1109/mlsp55844.2023.10285937">https://doi.org/10.1109/mlsp55844.2023.10285937</a>.
  ieee: 'M. Kuschel, T. Marrinan, and T. Hasija, “Geodesic-Based Relaxation For Deep
    Canonical Correlation Analysis,” 2023, doi: <a href="https://doi.org/10.1109/mlsp55844.2023.10285937">10.1109/mlsp55844.2023.10285937</a>.'
  mla: Kuschel, Maurice, et al. “Geodesic-Based Relaxation For Deep Canonical Correlation
    Analysis.” <i>2023 IEEE 33rd International Workshop on Machine Learning for Signal
    Processing (MLSP)</i>, IEEE, 2023, doi:<a href="https://doi.org/10.1109/mlsp55844.2023.10285937">10.1109/mlsp55844.2023.10285937</a>.
  short: 'M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop
    on Machine Learning for Signal Processing (MLSP), IEEE, 2023.'
date_created: 2024-04-05T14:39:36Z
date_updated: 2024-04-05T14:50:06Z
department:
- _id: '263'
doi: 10.1109/mlsp55844.2023.10285937
language:
- iso: eng
publication: 2023 IEEE 33rd International Workshop on Machine Learning for Signal
  Processing (MLSP)
publication_status: published
publisher: IEEE
status: public
title: Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
type: conference
user_id: '56070'
year: '2023'
...
---
_id: '53306'
author:
- first_name: Hassan Ghasemzadeh
  full_name: Mohammadi, Hassan Ghasemzadeh
  last_name: Mohammadi
- first_name: Felix Paul
  full_name: Jentzsch, Felix Paul
  last_name: Jentzsch
- first_name: Maurice
  full_name: Kuschel, Maurice
  id: '56070'
  last_name: Kuschel
- first_name: Rahil
  full_name: Arshad, Rahil
  last_name: Arshad
- first_name: Sneha
  full_name: Rautmare, Sneha
  last_name: Rautmare
- first_name: Suraj
  full_name: Manjunatha, Suraj
  last_name: Manjunatha
- first_name: Marco
  full_name: Platzner, Marco
  last_name: Platzner
- first_name: Alexander
  full_name: Boschmann, Alexander
  last_name: Boschmann
- first_name: Dirk
  full_name: Schollbach, Dirk
  last_name: Schollbach
citation:
  ama: 'Mohammadi HG, Jentzsch FP, Kuschel M, et al. FLight: FPGA Acceleration of
    Lightweight DNN Model Inference in Industrial Analytics. In: <i>Communications
    in Computer and Information Science</i>. Springer International Publishing; 2022.
    doi:<a href="https://doi.org/10.1007/978-3-030-93736-2_27">10.1007/978-3-030-93736-2_27</a>'
  apa: 'Mohammadi, H. G., Jentzsch, F. P., Kuschel, M., Arshad, R., Rautmare, S.,
    Manjunatha, S., Platzner, M., Boschmann, A., &#38; Schollbach, D. (2022). FLight:
    FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.
    In <i>Communications in Computer and Information Science</i>. Springer International
    Publishing. <a href="https://doi.org/10.1007/978-3-030-93736-2_27">https://doi.org/10.1007/978-3-030-93736-2_27</a>'
  bibtex: '@inbook{Mohammadi_Jentzsch_Kuschel_Arshad_Rautmare_Manjunatha_Platzner_Boschmann_Schollbach_2022,
    place={Cham}, title={FLight: FPGA Acceleration of Lightweight DNN Model Inference
    in Industrial Analytics}, DOI={<a href="https://doi.org/10.1007/978-3-030-93736-2_27">10.1007/978-3-030-93736-2_27</a>},
    booktitle={Communications in Computer and Information Science}, publisher={Springer
    International Publishing}, 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}, year={2022}
    }'
  chicago: 'Mohammadi, Hassan Ghasemzadeh, Felix Paul Jentzsch, Maurice Kuschel, Rahil
    Arshad, Sneha Rautmare, Suraj Manjunatha, Marco Platzner, Alexander Boschmann,
    and Dirk Schollbach. “FLight: FPGA Acceleration of Lightweight DNN Model Inference
    in Industrial Analytics.” In <i>Communications in Computer and Information Science</i>.
    Cham: Springer International Publishing, 2022. <a href="https://doi.org/10.1007/978-3-030-93736-2_27">https://doi.org/10.1007/978-3-030-93736-2_27</a>.'
  ieee: 'H. G. Mohammadi <i>et al.</i>, “FLight: FPGA Acceleration of Lightweight
    DNN Model Inference in Industrial Analytics,” in <i>Communications in Computer
    and Information Science</i>, Cham: Springer International Publishing, 2022.'
  mla: 'Mohammadi, Hassan Ghasemzadeh, et al. “FLight: FPGA Acceleration of Lightweight
    DNN Model Inference in Industrial Analytics.” <i>Communications in Computer and
    Information Science</i>, Springer International Publishing, 2022, doi:<a href="https://doi.org/10.1007/978-3-030-93736-2_27">10.1007/978-3-030-93736-2_27</a>.'
  short: '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.'
date_created: 2024-04-05T14:43:07Z
date_updated: 2024-04-05T14:50:26Z
doi: 10.1007/978-3-030-93736-2_27
language:
- iso: eng
place: Cham
publication: Communications in Computer and Information Science
publication_identifier:
  isbn:
  - '9783030937355'
  - '9783030937362'
  issn:
  - 1865-0929
  - 1865-0937
publication_status: published
publisher: Springer International Publishing
status: public
title: 'FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial
  Analytics'
type: book_chapter
user_id: '56070'
year: '2022'
...
---
_id: '53305'
author:
- first_name: Hassan Ghasemzadeh
  full_name: Mohammadi, Hassan Ghasemzadeh
  last_name: Mohammadi
- first_name: Rahil
  full_name: Arshad, Rahil
  last_name: Arshad
- first_name: Sneha
  full_name: Rautmare, Sneha
  last_name: Rautmare
- first_name: Suraj
  full_name: Manjunatha, Suraj
  last_name: Manjunatha
- first_name: Maurice
  full_name: Kuschel, Maurice
  id: '56070'
  last_name: Kuschel
- first_name: Felix Paul
  full_name: Jentzsch, Felix Paul
  last_name: Jentzsch
- first_name: Marco
  full_name: Platzner, Marco
  last_name: Platzner
- first_name: Alexander
  full_name: Boschmann, Alexander
  last_name: Boschmann
- first_name: Dirk
  full_name: Schollbach, Dirk
  last_name: Schollbach
citation:
  ama: 'Mohammadi HG, Arshad R, Rautmare S, et al. DeepWind: An Accurate Wind Turbine
    Condition Monitoring Framework via Deep Learning on Embedded Platforms. In: <i>2020
    25th IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA)</i>. IEEE; 2020. doi:<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>'
  apa: 'Mohammadi, H. G., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch,
    F. P., Platzner, M., Boschmann, A., &#38; Schollbach, D. (2020). DeepWind: An
    Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded
    Platforms. <i>2020 25th IEEE International Conference on Emerging Technologies
    and Factory Automation (ETFA)</i>. <a href="https://doi.org/10.1109/etfa46521.2020.9211880">https://doi.org/10.1109/etfa46521.2020.9211880</a>'
  bibtex: '@inproceedings{Mohammadi_Arshad_Rautmare_Manjunatha_Kuschel_Jentzsch_Platzner_Boschmann_Schollbach_2020,
    title={DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep
    Learning on Embedded Platforms}, DOI={<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>},
    booktitle={2020 25th IEEE International Conference on Emerging Technologies and
    Factory Automation (ETFA)}, publisher={IEEE}, 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}, year={2020} }'
  chicago: 'Mohammadi, Hassan Ghasemzadeh, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha,
    Maurice Kuschel, Felix Paul Jentzsch, Marco Platzner, Alexander Boschmann, and
    Dirk Schollbach. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework
    via Deep Learning on Embedded Platforms.” In <i>2020 25th IEEE International Conference
    on Emerging Technologies and Factory Automation (ETFA)</i>. IEEE, 2020. <a href="https://doi.org/10.1109/etfa46521.2020.9211880">https://doi.org/10.1109/etfa46521.2020.9211880</a>.'
  ieee: 'H. G. Mohammadi <i>et al.</i>, “DeepWind: An Accurate Wind Turbine Condition
    Monitoring Framework via Deep Learning on Embedded Platforms,” 2020, doi: <a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>.'
  mla: 'Mohammadi, Hassan Ghasemzadeh, et al. “DeepWind: An Accurate Wind Turbine
    Condition Monitoring Framework via Deep Learning on Embedded Platforms.” <i>2020
    25th IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA)</i>, IEEE, 2020, doi:<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>.'
  short: '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.'
date_created: 2024-04-05T14:41:44Z
date_updated: 2024-04-05T14:50:35Z
doi: 10.1109/etfa46521.2020.9211880
language:
- iso: eng
publication: 2020 25th IEEE International Conference on Emerging Technologies and
  Factory Automation (ETFA)
publication_status: published
publisher: IEEE
status: public
title: 'DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep
  Learning on Embedded Platforms'
type: conference
user_id: '56070'
year: '2020'
...