- E-Mail:
- tanuj.hasija@sst.uni-paderborn.de
- Telefon:
- +49 5251 60-3181
- Web:
- Homepage (Extern)
- Büroanschrift:
-
Pohlweg 47-49
33098 Paderborn - Raum:
- P1.7.13.3
Publikationen
Aktuelle Publikationen
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning
M. Kuschel, T. Hasija, T. Marrinan, in: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024.
Developing a deep canonical correlation-based technique for seizure prediction
S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert Systems with Applications 234 (2023).
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International 365体育_足球比分网￥投注直播官网 on Machine Learning for Signal Processing (MLSP), IEEE, 2023.
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2
I. Lehmann, E. Acar, T. Hasija, M.A.B.S. Akhonda, V.D. Calhoun, P. Schreier, T. Adali, in: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2022.
A GLRT for estimating the number of correlated components in sample-poor mCCA
T. Hasija, T. Marrinan, in: Proc. 30th European Signal Processing Conference (EUSIPCO), 2022, pp. 2091–2095.
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