5 Publications
2024 | Conference Paper | LibreCat-ID: 53304
Kuschel M, Hasija T, Marrinan T. Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. In: 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 S, Hasija T, Kuschel M, Reinsberger C, Loddenkemper T. Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications. 2023;234. doi:10.1016/j.eswa.2023.120986
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel M, Marrinan T, Hasija T. Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. In: 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 HG, Jentzsch FP, Kuschel M, et al. FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. In: 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 HG, Arshad R, Rautmare S, et al. DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. In: 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 M, Hasija T, Marrinan T. Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. In: 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 S, Hasija T, Kuschel M, Reinsberger C, Loddenkemper T. Developing a deep canonical correlation-based technique for seizure prediction. Expert Systems with Applications. 2023;234. doi:10.1016/j.eswa.2023.120986
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
Kuschel M, Marrinan T, Hasija T. Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. In: 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 HG, Jentzsch FP, Kuschel M, et al. FLight: FPGA Acceleration of Lightweight DNN Model Inference in Industrial Analytics. In: 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 HG, Arshad R, Rautmare S, et al. DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms. In: 2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE; 2020. doi:10.1109/etfa46521.2020.9211880
LibreCat
| DOI