17 Publications

Mark all

[17]
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
 
[16]
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
 
[15]
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
 
[14]
2022 | Conference Paper | LibreCat-ID: 49825
Lehmann I, Acar E, Hasija T, et al. Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9747662
LibreCat | DOI
 
[13]
2022 | Conference Paper | LibreCat-ID: 40669
Hasija T, Marrinan T. A GLRT for estimating the number of correlated components in sample-poor mCCA. In: Proc. 30th European Signal Processing Conference (EUSIPCO). ; 2022:2091–2095.
LibreCat
 
[12]
2022 | Conference Paper | LibreCat-ID: 40670
Lehmann I, Acar E, Hasija T, et al. Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2022:1466-1470. doi:10.1109/ICASSP43922.2022.9747662
LibreCat | DOI
 
[11]
2020 | Journal Article | LibreCat-ID: 37611
Hasija T, Marrinan T, Lameiro C, Schreier PJ. Determining the dimension and structure of the subspace correlated across multiple data sets. Signal Processing. 2020;176. doi:10.1016/j.sigpro.2020.107613
LibreCat | DOI
 
[10]
2020 | Journal Article | LibreCat-ID: 31710
Vieluf S, Scheer V, Hasija T, Schreier P, Reinsberger C. Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon. Res Sports Med. 2020;28(2):231-240.
LibreCat | PubMed | Europe PMC
 
[9]
2019 | Conference Paper | LibreCat-ID: 37612
Hasija T, Gölz M, Muma M, Schreier PJ, Zoubir AM. Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks. In: Proc. Asilomar Conf. on Signals, Systems, Computers. ; 2019.
LibreCat
 
[8]
2019 | Conference Paper | LibreCat-ID: 40681
Lameiro C, Hasija T, Marrinan T, Schreier PJ. Estimating the Number of Correlated Components Based on Random Projections. In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2019:5152–5156.
LibreCat
 
[7]
2019 | Journal Article | LibreCat-ID: 31709
Vieluf S, Hasija T, Jakobsmeyer R, Schreier P, Reinsberger C. Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous Network. Front Physiol. 2019;10:240.
LibreCat | PubMed | Europe PMC
 
[6]
2018 | Conference Paper | LibreCat-ID: 40702
Marrinan T, Hasija T, Lameiro C, Schreier PJ. Complete Model Selection in Multiset Canonical Correlation Analysis. In: Proc. European Signal Process. Conf. (EUSIPCO). ; 2018:1082–1086.
LibreCat
 
[5]
2017 | Journal Article | LibreCat-ID: 40711
Hasija T, Lameiro C, Schreier PJ. Determining the dimension of the improper signal subspace in complex-valued data. IEEE Signal Process Lett. 2017;24:1606–1610.
LibreCat
 
[4]
2016 | Journal Article | LibreCat-ID: 40720
Song Y, Schreier PJ, Ramírez D, Hasija T. Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process. 2016;128:449–458.
LibreCat
 
[3]
2016 | Conference Paper | LibreCat-ID: 40723
Hasija T, Song Y, Schreier PJ, Ramírez D. Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. In: Proc.\ IEEE Work.\ Stat.\ Signal Process. ; 2016.
LibreCat
 
[2]
2016 | Conference Paper | LibreCat-ID: 40718
Hasija T, Song Y, Schreier PJ, Ramírez D. Bootstrap-based detection of the number of signals correlated across multiple data sets. In: Proc.\ Asilomar Conf.\ Signals\ Syst. Computers. ; 2016.
LibreCat
 
[1]
2016 | Conference Paper | LibreCat-ID: 40721
Song Y, Hasija T, Schreier PJ, Ramírez D. Determining the number of signals correlated across multiple data sets for small sample support. In: Proc.\ Eur.\ Signal Process.\ Conf. ; 2016.
LibreCat
 

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed

17 Publications

Mark all

[17]
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
 
[16]
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
 
[15]
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
 
[14]
2022 | Conference Paper | LibreCat-ID: 49825
Lehmann I, Acar E, Hasija T, et al. Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE; 2022. doi:10.1109/icassp43922.2022.9747662
LibreCat | DOI
 
[13]
2022 | Conference Paper | LibreCat-ID: 40669
Hasija T, Marrinan T. A GLRT for estimating the number of correlated components in sample-poor mCCA. In: Proc. 30th European Signal Processing Conference (EUSIPCO). ; 2022:2091–2095.
LibreCat
 
[12]
2022 | Conference Paper | LibreCat-ID: 40670
Lehmann I, Acar E, Hasija T, et al. Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. In: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2022:1466-1470. doi:10.1109/ICASSP43922.2022.9747662
LibreCat | DOI
 
[11]
2020 | Journal Article | LibreCat-ID: 37611
Hasija T, Marrinan T, Lameiro C, Schreier PJ. Determining the dimension and structure of the subspace correlated across multiple data sets. Signal Processing. 2020;176. doi:10.1016/j.sigpro.2020.107613
LibreCat | DOI
 
[10]
2020 | Journal Article | LibreCat-ID: 31710
Vieluf S, Scheer V, Hasija T, Schreier P, Reinsberger C. Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon. Res Sports Med. 2020;28(2):231-240.
LibreCat | PubMed | Europe PMC
 
[9]
2019 | Conference Paper | LibreCat-ID: 37612
Hasija T, Gölz M, Muma M, Schreier PJ, Zoubir AM. Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks. In: Proc. Asilomar Conf. on Signals, Systems, Computers. ; 2019.
LibreCat
 
[8]
2019 | Conference Paper | LibreCat-ID: 40681
Lameiro C, Hasija T, Marrinan T, Schreier PJ. Estimating the Number of Correlated Components Based on Random Projections. In: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ; 2019:5152–5156.
LibreCat
 
[7]
2019 | Journal Article | LibreCat-ID: 31709
Vieluf S, Hasija T, Jakobsmeyer R, Schreier P, Reinsberger C. Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous Network. Front Physiol. 2019;10:240.
LibreCat | PubMed | Europe PMC
 
[6]
2018 | Conference Paper | LibreCat-ID: 40702
Marrinan T, Hasija T, Lameiro C, Schreier PJ. Complete Model Selection in Multiset Canonical Correlation Analysis. In: Proc. European Signal Process. Conf. (EUSIPCO). ; 2018:1082–1086.
LibreCat
 
[5]
2017 | Journal Article | LibreCat-ID: 40711
Hasija T, Lameiro C, Schreier PJ. Determining the dimension of the improper signal subspace in complex-valued data. IEEE Signal Process Lett. 2017;24:1606–1610.
LibreCat
 
[4]
2016 | Journal Article | LibreCat-ID: 40720
Song Y, Schreier PJ, Ramírez D, Hasija T. Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process. 2016;128:449–458.
LibreCat
 
[3]
2016 | Conference Paper | LibreCat-ID: 40723
Hasija T, Song Y, Schreier PJ, Ramírez D. Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. In: Proc.\ IEEE Work.\ Stat.\ Signal Process. ; 2016.
LibreCat
 
[2]
2016 | Conference Paper | LibreCat-ID: 40718
Hasija T, Song Y, Schreier PJ, Ramírez D. Bootstrap-based detection of the number of signals correlated across multiple data sets. In: Proc.\ Asilomar Conf.\ Signals\ Syst. Computers. ; 2016.
LibreCat
 
[1]
2016 | Conference Paper | LibreCat-ID: 40721
Song Y, Hasija T, Schreier PJ, Ramírez D. Determining the number of signals correlated across multiple data sets for small sample support. In: Proc.\ Eur.\ Signal Process.\ Conf. ; 2016.
LibreCat
 

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed