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Tanuj Hasija
Tanuj Hasija
Lecturer and Post Doctoral Research Associate, Paderborn University
Bestätigte E-Mail-Adresse bei sst.upb.de
Titel
Zitiert von
Zitiert von
Jahr
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
782016
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
222019
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
112016
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
92022
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
82020
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
82016
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
72020
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
62021
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
62016
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
52019
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
32018
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
32017
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
22019
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
12023
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
12023
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
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