Canonical correlation analysis of high-dimensional data with very small sample support Y Song, PJ Schreier, D Ramírez, T Hasija Signal Processing 128, 449-458, 2016 | 78 | 2016 |
Exercise-induced changes of multimodal interactions within the autonomic nervous network S Vieluf, T Hasija, R Jakobsmeyer, PJ Schreier, C Reinsberger Frontiers in physiology 10, 240, 2019 | 22 | 2019 |
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime T Hasija, Y Song, PJ Schreier, D Ramírez 2016 IEEE Statistical Signal Processing Workshop (SSP), 1-5, 2016 | 11 | 2016 |
Multi-task fMRI data fusion using IVA and PARAFAC2 I Lehmann, E Acar, T Hasija, MABS Akhonda, VD Calhoun, PJ Schreier, ... ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 9 | 2022 |
Determining the dimension and structure of the subspace correlated across multiple data sets T Hasija, T Marrinan, C Lameiro, PJ Schreier Signal Processing 176, 107613, 2020 | 8 | 2020 |
Determining the number of signals correlated across multiple data sets for small sample support Y Song, T Hasija, PJ Schreier, D Ramírez 2016 24th European Signal Processing Conference (EUSIPCO), 1528-1532, 2016 | 8 | 2016 |
Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon S Vieluf, V Scheer, T Hasija, PJ Schreier, C Reinsberger Research in Sports Medicine 28 (2), 231-240, 2020 | 7 | 2020 |
Generalized tonic-clonic seizures are accompanied by changes of interrelations within the autonomic nervous system S Vieluf, T Hasija, PJ Schreier, R El Atrache, S Hammond, FM Touserkani, ... Epilepsy & Behavior 124, 108321, 2021 | 6 | 2021 |
Bootstrap-based detection of the number of signals correlated across multiple data sets T Hasija, Y Song, PJ Schreier, D Ramírez 2016 50th Asilomar Conference on Signals, Systems and Computers, 610-614, 2016 | 6 | 2016 |
Source enumeration and robust voice activity detection in wireless acoustic sensor networks T Hasija, M Gölz, M Muma, PJ Schreier, AM Zoubir 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 1257-1261, 2019 | 5 | 2019 |
Complete model selection in multiset canonical correlation analysis T Marrinan, T Hasija, C Lameiro, PJ Schreier 2018 26th European Signal Processing Conference (EUSIPCO), 1082-1086, 2018 | 3 | 2018 |
Determining the dimension of the improper signal subspace in complex-valued data T Hasija, C Lameiro, PJ Schreier IEEE Signal Processing Letters 24 (11), 1606-1610, 2017 | 3 | 2017 |
Estimating the number of correlated components based on random projections C Lameiro, T Hasija, T Marrinan, PJ Schreier ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 2 | 2019 |
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, 120986, 2023 | 1 | 2023 |
Geodesic-based relaxation for deep canonical correlation analysis M Kuschel, T Marrinan, T Hasija 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023 | 1 | 2023 |
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning M Kuschel, T Hasija, T Marrinan ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
Identifying the Complete Correlation Structure in Large-Scale High-Dimensional Data Sets with Local False Discovery Rates M Gölz, T Hasija, M Muma, AM Zoubir arXiv preprint arXiv:2305.19121, 2023 | | 2023 |
A GLRT for estimating the number of correlated components in sample-poor mCCA T Hasija, T Marrinan 2022 30th European Signal Processing Conference (EUSIPCO), 2091-2095, 2022 | | 2022 |
Determining Multivariate Association between Multiple Data Sets with Applications to Neuroscience and Acoustic Networks MST Hasija, PJ Schreier, T Adalı | | |