5 Publications
2024 | Conference Paper | LibreCat-ID: 53304
Kuschel, Maurice, et al. “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning.” ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024, doi:10.1109/icassp48485.2024.10446173.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53301
Vieluf, Solveig, et al. “Developing a Deep Canonical Correlation-Based Technique for Seizure Prediction.” Expert Systems with Applications, vol. 234, 120986, Elsevier BV, 2023, doi:10.1016/j.eswa.2023.120986.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, Maurice, et al. “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.” 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023, doi:10.1109/mlsp55844.2023.10285937.
LibreCat
| DOI
2022 | Book Chapter | LibreCat-ID: 53306
Mohammadi, Hassan Ghasemzadeh, et al. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” Communications in Computer and Information Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-93736-2_27.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 53305
Mohammadi, Hassan Ghasemzadeh, et al. “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), IEEE, 2020, doi:10.1109/etfa46521.2020.9211880.
LibreCat
| DOI
5 Publications
2024 | Conference Paper | LibreCat-ID: 53304
Kuschel, Maurice, et al. “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning.” ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024, doi:10.1109/icassp48485.2024.10446173.
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53301
Vieluf, Solveig, et al. “Developing a Deep Canonical Correlation-Based Technique for Seizure Prediction.” Expert Systems with Applications, vol. 234, 120986, Elsevier BV, 2023, doi:10.1016/j.eswa.2023.120986.
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel, Maurice, et al. “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.” 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023, doi:10.1109/mlsp55844.2023.10285937.
LibreCat
| DOI
2022 | Book Chapter | LibreCat-ID: 53306
Mohammadi, Hassan Ghasemzadeh, et al. “FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics.” Communications in Computer and Information Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-93736-2_27.
LibreCat
| DOI
2020 | Conference Paper | LibreCat-ID: 53305
Mohammadi, Hassan Ghasemzadeh, et al. “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), IEEE, 2020, doi:10.1109/etfa46521.2020.9211880.
LibreCat
| DOI