Tanuj Hasija

Signal- und Systemtheorie (SST)
thasija@campus.uni-paderborn.de
ID
43497

17 Publications

Mark all

[17]
2024 | Conference Paper | LibreCat-ID: 53304
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.
LibreCat | DOI
 
[16]
2023 | Journal Article | LibreCat-ID: 53301
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).
LibreCat | DOI
 
[15]
2023 | Conference Paper | LibreCat-ID: 53303
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023.
LibreCat | DOI
 
[14]
2022 | Conference Paper | LibreCat-ID: 40669
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.
LibreCat
 
[13]
2022 | Conference Paper | LibreCat-ID: 40670
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2
I. Lehmann, E. Acar, T. Hasija, M.A.B.S. Akhonda, V.D. Calhoun, P.J. Schreier, T. Adali, in: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 1466–1470.
LibreCat | DOI
 
[12]
2022 | Conference Paper | LibreCat-ID: 49825
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.
LibreCat | DOI
 
[11]
2020 | Journal Article | LibreCat-ID: 37611
Determining the dimension and structure of the subspace correlated across multiple data sets
T. Hasija, T. Marrinan, C. Lameiro, P.J. Schreier, Signal Processing 176 (2020).
LibreCat | DOI
 
[10]
2020 | Journal Article | LibreCat-ID: 31710
Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon.
S. Vieluf, V. Scheer, T. Hasija, P. Schreier, C. Reinsberger, Res Sports Med 28 (2020) 231–240.
LibreCat | PubMed | Europe PMC
 
[9]
2019 | Conference Paper | LibreCat-ID: 37612
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks
T. Hasija, M. Gölz, M. Muma, P.J. Schreier, A.M. Zoubir, in: Proc. Asilomar Conf. on Signals, Systems, Computers, 2019.
LibreCat
 
[8]
2019 | Conference Paper | LibreCat-ID: 40681
Estimating the Number of Correlated Components Based on Random Projections
C. Lameiro, T. Hasija, T. Marrinan, P.J. Schreier, in: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 5152–5156.
LibreCat
 
[7]
2019 | Journal Article | LibreCat-ID: 31709
Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous Network.
S. Vieluf, T. Hasija, R. Jakobsmeyer, P. Schreier, C. Reinsberger, Front Physiol 10 (2019) 240.
LibreCat | PubMed | Europe PMC
 
[6]
2018 | Conference Paper | LibreCat-ID: 40702
Complete Model Selection in Multiset Canonical Correlation Analysis
T. Marrinan, T. Hasija, C. Lameiro, P.J. Schreier, in: Proc. European Signal Process. Conf. (EUSIPCO), 2018, pp. 1082–1086.
LibreCat
 
[5]
2017 | Journal Article | LibreCat-ID: 40711
Determining the dimension of the improper signal subspace in complex-valued data
T. Hasija, C. Lameiro, P.J. Schreier, IEEE Signal Process. Lett. 24 (2017) 1606–1610.
LibreCat
 
[4]
2016 | Journal Article | LibreCat-ID: 40720
Canonical correlation analysis of high-dimensional data with very small sample support
Y. Song, P.J. Schreier, D. Ramírez, T. Hasija, Signal Process. 128 (2016) 449–458.
LibreCat
 
[3]
2016 | Conference Paper | LibreCat-ID: 40723
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime
T. Hasija, Y. Song, P.J. Schreier, D. Ramírez, in: Proc.\ IEEE Work.\ Stat.\ Signal Process., Palma de Mallorca, Spain, 2016.
LibreCat
 
[2]
2016 | Conference Paper | LibreCat-ID: 40718
Bootstrap-based detection of the number of signals correlated across multiple data sets
T. Hasija, Y. Song, P.J. Schreier, D. Ramírez, in: Proc.\ Asilomar Conf.\ Signals\ Syst. Computers, Pacific Grove, CA, USA, 2016.
LibreCat
 
[1]
2016 | Conference Paper | LibreCat-ID: 40721
Determining the number of signals correlated across multiple data sets for small sample support
Y. Song, T. Hasija, P.J. Schreier, D. Ramírez, in: Proc.\ Eur.\ Signal Process.\ Conf., Budapest, Hungary, 2016.
LibreCat
 
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17 Publications

Mark all

[17]
2024 | Conference Paper | LibreCat-ID: 53304
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.
LibreCat | DOI
 
[16]
2023 | Journal Article | LibreCat-ID: 53301
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).
LibreCat | DOI
 
[15]
2023 | Conference Paper | LibreCat-ID: 53303
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), IEEE, 2023.
LibreCat | DOI
 
[14]
2022 | Conference Paper | LibreCat-ID: 40669
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.
LibreCat
 
[13]
2022 | Conference Paper | LibreCat-ID: 40670
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2
I. Lehmann, E. Acar, T. Hasija, M.A.B.S. Akhonda, V.D. Calhoun, P.J. Schreier, T. Adali, in: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022, pp. 1466–1470.
LibreCat | DOI
 
[12]
2022 | Conference Paper | LibreCat-ID: 49825
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.
LibreCat | DOI
 
[11]
2020 | Journal Article | LibreCat-ID: 37611
Determining the dimension and structure of the subspace correlated across multiple data sets
T. Hasija, T. Marrinan, C. Lameiro, P.J. Schreier, Signal Processing 176 (2020).
LibreCat | DOI
 
[10]
2020 | Journal Article | LibreCat-ID: 31710
Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon.
S. Vieluf, V. Scheer, T. Hasija, P. Schreier, C. Reinsberger, Res Sports Med 28 (2020) 231–240.
LibreCat | PubMed | Europe PMC
 
[9]
2019 | Conference Paper | LibreCat-ID: 37612
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks
T. Hasija, M. Gölz, M. Muma, P.J. Schreier, A.M. Zoubir, in: Proc. Asilomar Conf. on Signals, Systems, Computers, 2019.
LibreCat
 
[8]
2019 | Conference Paper | LibreCat-ID: 40681
Estimating the Number of Correlated Components Based on Random Projections
C. Lameiro, T. Hasija, T. Marrinan, P.J. Schreier, in: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 5152–5156.
LibreCat
 
[7]
2019 | Journal Article | LibreCat-ID: 31709
Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous Network.
S. Vieluf, T. Hasija, R. Jakobsmeyer, P. Schreier, C. Reinsberger, Front Physiol 10 (2019) 240.
LibreCat | PubMed | Europe PMC
 
[6]
2018 | Conference Paper | LibreCat-ID: 40702
Complete Model Selection in Multiset Canonical Correlation Analysis
T. Marrinan, T. Hasija, C. Lameiro, P.J. Schreier, in: Proc. European Signal Process. Conf. (EUSIPCO), 2018, pp. 1082–1086.
LibreCat
 
[5]
2017 | Journal Article | LibreCat-ID: 40711
Determining the dimension of the improper signal subspace in complex-valued data
T. Hasija, C. Lameiro, P.J. Schreier, IEEE Signal Process. Lett. 24 (2017) 1606–1610.
LibreCat
 
[4]
2016 | Journal Article | LibreCat-ID: 40720
Canonical correlation analysis of high-dimensional data with very small sample support
Y. Song, P.J. Schreier, D. Ramírez, T. Hasija, Signal Process. 128 (2016) 449–458.
LibreCat
 
[3]
2016 | Conference Paper | LibreCat-ID: 40723
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime
T. Hasija, Y. Song, P.J. Schreier, D. Ramírez, in: Proc.\ IEEE Work.\ Stat.\ Signal Process., Palma de Mallorca, Spain, 2016.
LibreCat
 
[2]
2016 | Conference Paper | LibreCat-ID: 40718
Bootstrap-based detection of the number of signals correlated across multiple data sets
T. Hasija, Y. Song, P.J. Schreier, D. Ramírez, in: Proc.\ Asilomar Conf.\ Signals\ Syst. Computers, Pacific Grove, CA, USA, 2016.
LibreCat
 
[1]
2016 | Conference Paper | LibreCat-ID: 40721
Determining the number of signals correlated across multiple data sets for small sample support
Y. Song, T. Hasija, P.J. Schreier, D. Ramírez, in: Proc.\ Eur.\ Signal Process.\ Conf., Budapest, Hungary, 2016.
LibreCat
 
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