5 Publications
2024 | Conference Paper | LibreCat-ID: 53304
Kuschel, M., Hasija, T., & Marrinan, T. (2024). Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp48485.2024.10446173
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53301
Vieluf, S., Hasija, T., Kuschel, M., Reinsberger, C., & Loddenkemper, T. (2023). Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications, 234, Article 120986. https://doi.org/10.1016/j.eswa.2023.120986
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, M., Marrinan, T., & Hasija, T. (2023). Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). https://doi.org/10.1109/mlsp55844.2023.10285937
LibreCat
| DOI
2022 | Book Chapter | LibreCat-ID: 53306
Mohammadi, H. G., Jentzsch, F. P., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2022). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. In Communications in Computer and Information Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-93736-2_27
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 53305
Mohammadi, H. G., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., & Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9211880
LibreCat
| DOI
5 Publications
2024 | Conference Paper | LibreCat-ID: 53304
Kuschel, M., Hasija, T., & Marrinan, T. (2024). Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). https://doi.org/10.1109/icassp48485.2024.10446173
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53301
Vieluf, S., Hasija, T., Kuschel, M., Reinsberger, C., & Loddenkemper, T. (2023). Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications, 234, Article 120986. https://doi.org/10.1016/j.eswa.2023.120986
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, M., Marrinan, T., & Hasija, T. (2023). Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). https://doi.org/10.1109/mlsp55844.2023.10285937
LibreCat
| DOI
2022 | Book Chapter | LibreCat-ID: 53306
Mohammadi, H. G., Jentzsch, F. P., Kuschel, M., Arshad, R., Rautmare, S., Manjunatha, S., Platzner, M., Boschmann, A., & Schollbach, D. (2022). FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. In Communications in Computer and Information Science. Springer International Publishing. https://doi.org/10.1007/978-3-030-93736-2_27
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 53305
Mohammadi, H. G., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel, M., Jentzsch, F. P., Platzner, M., Boschmann, A., & Schollbach, D. (2020). DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/10.1109/etfa46521.2020.9211880
LibreCat
| DOI