---
_id: '53304'
author:
- first_name: Maurice
full_name: Kuschel, Maurice
id: '56070'
last_name: Kuschel
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Timothy
full_name: Marrinan, Timothy
last_name: Marrinan
citation:
ama: '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'
apa: Kuschel, M., Hasija, T., & Marrinan, T. (2024). Rademacher Complexity Regularization
for Correlation-Based Multiview Representation Learning. ICASSP 2024 - 2024
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
https://doi.org/10.1109/icassp48485.2024.10446173
bibtex: '@inproceedings{Kuschel_Hasija_Marrinan_2024, title={Rademacher Complexity
Regularization for Correlation-Based Multiview Representation Learning}, DOI={10.1109/icassp48485.2024.10446173},
booktitle={ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Kuschel, Maurice and
Hasija, Tanuj and Marrinan, Timothy}, year={2024} }'
chicago: Kuschel, Maurice, Tanuj Hasija, and Timothy Marrinan. “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. https://doi.org/10.1109/icassp48485.2024.10446173.
ieee: 'M. Kuschel, T. Hasija, and T. Marrinan, “Rademacher Complexity Regularization
for Correlation-Based Multiview Representation Learning,” 2024, doi: 10.1109/icassp48485.2024.10446173.'
mla: Kuschel, Maurice, et al. “Rademacher Complexity Regularization for Correlation-Based
Multiview Representation Learning.” ICASSP 2024 - 2024 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024, doi:10.1109/icassp48485.2024.10446173.
short: 'M. Kuschel, T. Hasija, T. Marrinan, in: ICASSP 2024 - 2024 IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 2024.'
date_created: 2024-04-05T14:40:34Z
date_updated: 2024-04-05T14:50:14Z
department:
- _id: '263'
doi: 10.1109/icassp48485.2024.10446173
language:
- iso: eng
publication: ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
status: public
title: Rademacher Complexity Regularization for Correlation-Based Multiview Representation
Learning
type: conference
user_id: '56070'
year: '2024'
...
---
_id: '53301'
article_number: '120986'
author:
- first_name: Solveig
full_name: Vieluf, Solveig
last_name: Vieluf
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Maurice
full_name: Kuschel, Maurice
id: '56070'
last_name: Kuschel
- first_name: Claus
full_name: Reinsberger, Claus
id: '48978'
last_name: Reinsberger
- first_name: Tobias
full_name: Loddenkemper, Tobias
last_name: Loddenkemper
citation:
ama: 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
apa: Vieluf, S., Hasija, T., Kuschel, M., Reinsberger, C., & Loddenkemper, T.
(2023). Developing a deep canonical correlation-based technique for seizure prediction.
Expert Systems with Applications, 234, Article 120986. https://doi.org/10.1016/j.eswa.2023.120986
bibtex: '@article{Vieluf_Hasija_Kuschel_Reinsberger_Loddenkemper_2023, title={Developing
a deep canonical correlation-based technique for seizure prediction}, volume={234},
DOI={10.1016/j.eswa.2023.120986},
number={120986}, journal={Expert Systems with Applications}, publisher={Elsevier
BV}, author={Vieluf, Solveig and Hasija, Tanuj and Kuschel, Maurice and Reinsberger,
Claus and Loddenkemper, Tobias}, year={2023} }'
chicago: Vieluf, Solveig, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, and
Tobias Loddenkemper. “Developing a Deep Canonical Correlation-Based Technique
for Seizure Prediction.” Expert Systems with Applications 234 (2023). https://doi.org/10.1016/j.eswa.2023.120986.
ieee: 'S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, and T. Loddenkemper, “Developing
a deep canonical correlation-based technique for seizure prediction,” Expert
Systems with Applications, vol. 234, Art. no. 120986, 2023, doi: 10.1016/j.eswa.2023.120986.'
mla: Vieluf, Solveig, et al. “Developing a Deep Canonical Correlation-Based Technique
for Seizure Prediction.” Expert Systems with Applications, vol. 234, 120986,
Elsevier BV, 2023, doi:10.1016/j.eswa.2023.120986.
short: S. Vieluf, T. Hasija, M. Kuschel, C. Reinsberger, T. Loddenkemper, Expert
Systems with Applications 234 (2023).
date_created: 2024-04-05T14:37:06Z
date_updated: 2024-04-05T14:49:56Z
department:
- _id: '263'
doi: 10.1016/j.eswa.2023.120986
intvolume: ' 234'
keyword:
- Artificial Intelligence
- Computer Science Applications
- General Engineering
language:
- iso: eng
publication: Expert Systems with Applications
publication_identifier:
issn:
- 0957-4174
publication_status: published
publisher: Elsevier BV
status: public
title: Developing a deep canonical correlation-based technique for seizure prediction
type: journal_article
user_id: '56070'
volume: 234
year: '2023'
...
---
_id: '53303'
author:
- first_name: Maurice
full_name: Kuschel, Maurice
id: '56070'
last_name: Kuschel
- first_name: Timothy
full_name: Marrinan, Timothy
last_name: Marrinan
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
citation:
ama: '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'
apa: Kuschel, M., Marrinan, T., & Hasija, T. (2023). Geodesic-Based Relaxation
For Deep Canonical Correlation Analysis. 2023 IEEE 33rd International Workshop
on Machine Learning for Signal Processing (MLSP). https://doi.org/10.1109/mlsp55844.2023.10285937
bibtex: '@inproceedings{Kuschel_Marrinan_Hasija_2023, title={Geodesic-Based Relaxation
For Deep Canonical Correlation Analysis}, DOI={10.1109/mlsp55844.2023.10285937},
booktitle={2023 IEEE 33rd International Workshop on Machine Learning for Signal
Processing (MLSP)}, publisher={IEEE}, author={Kuschel, Maurice and Marrinan, Timothy
and Hasija, Tanuj}, year={2023} }'
chicago: Kuschel, Maurice, Timothy Marrinan, and Tanuj Hasija. “Geodesic-Based Relaxation
For Deep Canonical Correlation Analysis.” In 2023 IEEE 33rd International Workshop
on Machine Learning for Signal Processing (MLSP). IEEE, 2023. https://doi.org/10.1109/mlsp55844.2023.10285937.
ieee: 'M. Kuschel, T. Marrinan, and T. Hasija, “Geodesic-Based Relaxation For Deep
Canonical Correlation Analysis,” 2023, doi: 10.1109/mlsp55844.2023.10285937.'
mla: Kuschel, Maurice, et al. “Geodesic-Based Relaxation For Deep Canonical Correlation
Analysis.” 2023 IEEE 33rd International Workshop on Machine Learning for Signal
Processing (MLSP), IEEE, 2023, doi:10.1109/mlsp55844.2023.10285937.
short: 'M. Kuschel, T. Marrinan, T. Hasija, in: 2023 IEEE 33rd International Workshop
on Machine Learning for Signal Processing (MLSP), IEEE, 2023.'
date_created: 2024-04-05T14:39:36Z
date_updated: 2024-04-05T14:50:06Z
department:
- _id: '263'
doi: 10.1109/mlsp55844.2023.10285937
language:
- iso: eng
publication: 2023 IEEE 33rd International Workshop on Machine Learning for Signal
Processing (MLSP)
publication_status: published
publisher: IEEE
status: public
title: Geodesic-Based Relaxation For Deep Canonical Correlation Analysis
type: conference
user_id: '56070'
year: '2023'
...
---
_id: '49825'
author:
- first_name: Isabell
full_name: Lehmann, Isabell
id: '49902'
last_name: Lehmann
- first_name: Evrim
full_name: Acar, Evrim
last_name: Acar
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: M.A.B.S.
full_name: Akhonda, M.A.B.S.
last_name: Akhonda
- first_name: Vince D.
full_name: Calhoun, Vince D.
last_name: Calhoun
- first_name: Peter
full_name: Schreier, Peter
last_name: Schreier
- first_name: Tulay
full_name: Adali, Tulay
last_name: Adali
citation:
ama: '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'
apa: Lehmann, I., Acar, E., Hasija, T., Akhonda, M. A. B. S., Calhoun, V. D., Schreier,
P., & Adali, T. (2022). Multi-Task fMRI Data Fusion Using IVA and PARAFAC2.
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP). https://doi.org/10.1109/icassp43922.2022.9747662
bibtex: '@inproceedings{Lehmann_Acar_Hasija_Akhonda_Calhoun_Schreier_Adali_2022,
title={Multi-Task fMRI Data Fusion Using IVA and PARAFAC2}, DOI={10.1109/icassp43922.2022.9747662},
booktitle={ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)}, publisher={IEEE}, author={Lehmann, Isabell and
Acar, Evrim and Hasija, Tanuj and Akhonda, M.A.B.S. and Calhoun, Vince D. and
Schreier, Peter and Adali, Tulay}, year={2022} }'
chicago: Lehmann, Isabell, Evrim Acar, Tanuj Hasija, M.A.B.S. Akhonda, Vince D.
Calhoun, Peter Schreier, and Tulay Adali. “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. https://doi.org/10.1109/icassp43922.2022.9747662.
ieee: 'I. Lehmann et al., “Multi-Task fMRI Data Fusion Using IVA and PARAFAC2,”
2022, doi: 10.1109/icassp43922.2022.9747662.'
mla: Lehmann, Isabell, et al. “Multi-Task FMRI Data Fusion Using IVA and PARAFAC2.”
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP), IEEE, 2022, doi:10.1109/icassp43922.2022.9747662.
short: '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.'
date_created: 2023-12-19T07:46:36Z
date_updated: 2024-04-15T07:37:35Z
department:
- _id: '263'
doi: 10.1109/icassp43922.2022.9747662
language:
- iso: eng
publication: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP)
publication_status: published
publisher: IEEE
status: public
title: Multi-Task fMRI Data Fusion Using IVA and PARAFAC2
type: conference
user_id: '49902'
year: '2022'
...
---
_id: '40669'
author:
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Timothy
full_name: Marrinan, Timothy
last_name: Marrinan
citation:
ama: '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.'
apa: Hasija, T., & Marrinan, T. (2022). A GLRT for estimating the number of
correlated components in sample-poor mCCA. Proc. 30th European Signal Processing
Conference (EUSIPCO), 2091–2095.
bibtex: '@inproceedings{Hasija_Marrinan_2022, title={A GLRT for estimating the number
of correlated components in sample-poor mCCA}, booktitle={Proc. 30th European
Signal Processing Conference (EUSIPCO)}, author={Hasija, Tanuj and Marrinan, Timothy},
year={2022}, pages={2091–2095} }'
chicago: Hasija, Tanuj, and Timothy Marrinan. “A GLRT for Estimating the Number
of Correlated Components in Sample-Poor MCCA.” In Proc. 30th European Signal
Processing Conference (EUSIPCO), 2091–2095, 2022.
ieee: T. Hasija and T. Marrinan, “A GLRT for estimating the number of correlated
components in sample-poor mCCA,” in Proc. 30th European Signal Processing Conference
(EUSIPCO), 2022, pp. 2091–2095.
mla: Hasija, Tanuj, and Timothy Marrinan. “A GLRT for Estimating the Number of Correlated
Components in Sample-Poor MCCA.” Proc. 30th European Signal Processing Conference
(EUSIPCO), 2022, pp. 2091–2095.
short: 'T. Hasija, T. Marrinan, in: Proc. 30th European Signal Processing Conference
(EUSIPCO), 2022, pp. 2091–2095.'
date_created: 2023-01-30T11:51:34Z
date_updated: 2023-01-30T12:07:00Z
department:
- _id: '263'
language:
- iso: eng
page: 2091–2095
publication: Proc. 30th European Signal Processing Conference (EUSIPCO)
status: public
title: A GLRT for estimating the number of correlated components in sample-poor mCCA
type: conference
user_id: '43497'
year: '2022'
...
---
_id: '40670'
author:
- first_name: Isabell
full_name: Lehmann, Isabell
last_name: Lehmann
- first_name: Evrim
full_name: Acar, Evrim
last_name: Acar
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: M.A.B.S.
full_name: Akhonda, M.A.B.S.
last_name: Akhonda
- first_name: Vince D.
full_name: Calhoun, Vince D.
last_name: Calhoun
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
- first_name: Tülay
full_name: Adali, Tülay
last_name: Adali
citation:
ama: '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'
apa: Lehmann, I., Acar, E., Hasija, T., Akhonda, M. A. B. S., Calhoun, V. D., Schreier,
P. J., & Adali, T. (2022). Multi-Task fMRI Data Fusion Using IVA and PARAFAC2.
Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), 1466–1470. https://doi.org/10.1109/ICASSP43922.2022.9747662
bibtex: '@inproceedings{Lehmann_Acar_Hasija_Akhonda_Calhoun_Schreier_Adali_2022,
title={Multi-Task fMRI Data Fusion Using IVA and PARAFAC2}, DOI={10.1109/ICASSP43922.2022.9747662},
booktitle={Proc. IEEE International Conference on Acoustics, Speech and Signal
Processing (ICASSP)}, author={Lehmann, Isabell and Acar, Evrim and Hasija, Tanuj
and Akhonda, M.A.B.S. and Calhoun, Vince D. and Schreier, Peter J. and Adali,
Tülay}, year={2022}, pages={1466–1470} }'
chicago: Lehmann, Isabell, Evrim Acar, Tanuj Hasija, M.A.B.S. Akhonda, Vince D.
Calhoun, Peter J. Schreier, and Tülay Adali. “Multi-Task FMRI Data Fusion Using
IVA and PARAFAC2.” In Proc. IEEE International Conference on Acoustics, Speech
and Signal Processing (ICASSP), 1466–70, 2022. https://doi.org/10.1109/ICASSP43922.2022.9747662.
ieee: 'I. Lehmann et al., “Multi-Task fMRI Data Fusion Using IVA and PARAFAC2,”
in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), 2022, pp. 1466–1470, doi: 10.1109/ICASSP43922.2022.9747662.'
mla: Lehmann, Isabell, et al. “Multi-Task FMRI Data Fusion Using IVA and PARAFAC2.”
Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), 2022, pp. 1466–70, doi:10.1109/ICASSP43922.2022.9747662.
short: '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.'
date_created: 2023-01-30T11:51:34Z
date_updated: 2023-01-30T12:06:53Z
department:
- _id: '263'
doi: 10.1109/ICASSP43922.2022.9747662
language:
- iso: eng
page: 1466-1470
publication: Proc. IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP)
status: public
title: Multi-Task fMRI Data Fusion Using IVA and PARAFAC2
type: conference
user_id: '43497'
year: '2022'
...
---
_id: '37611'
author:
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Timothy
full_name: Marrinan, Timothy
last_name: Marrinan
- first_name: Christian
full_name: Lameiro, Christian
last_name: Lameiro
- first_name: Peter J
full_name: Schreier, Peter J
last_name: Schreier
citation:
ama: 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
apa: Hasija, T., Marrinan, T., Lameiro, C., & Schreier, P. J. (2020). Determining
the dimension and structure of the subspace correlated across multiple data sets.
Signal Processing, 176. https://doi.org/10.1016/j.sigpro.2020.107613
bibtex: '@article{Hasija_Marrinan_Lameiro_Schreier_2020, title={Determining the
dimension and structure of the subspace correlated across multiple data sets},
volume={176}, DOI={10.1016/j.sigpro.2020.107613},
journal={Signal Processing}, publisher={Elsevier}, author={Hasija, Tanuj and Marrinan,
Timothy and Lameiro, Christian and Schreier, Peter J}, year={2020} }'
chicago: Hasija, Tanuj, Timothy Marrinan, Christian Lameiro, and Peter J Schreier.
“Determining the Dimension and Structure of the Subspace Correlated across Multiple
Data Sets.” Signal Processing 176 (2020). https://doi.org/10.1016/j.sigpro.2020.107613.
ieee: 'T. Hasija, T. Marrinan, C. Lameiro, and P. J. Schreier, “Determining the
dimension and structure of the subspace correlated across multiple data sets,”
Signal Processing, vol. 176, 2020, doi: 10.1016/j.sigpro.2020.107613.'
mla: Hasija, Tanuj, et al. “Determining the Dimension and Structure of the Subspace
Correlated across Multiple Data Sets.” Signal Processing, vol. 176, Elsevier,
2020, doi:10.1016/j.sigpro.2020.107613.
short: T. Hasija, T. Marrinan, C. Lameiro, P.J. Schreier, Signal Processing 176
(2020).
date_created: 2023-01-19T15:02:09Z
date_updated: 2023-01-19T15:06:51Z
department:
- _id: '263'
doi: 10.1016/j.sigpro.2020.107613
intvolume: ' 176'
language:
- iso: eng
publication: Signal Processing
publisher: Elsevier
status: public
title: Determining the dimension and structure of the subspace correlated across multiple
data sets
type: journal_article
user_id: '43497'
volume: 176
year: '2020'
...
---
_id: '31710'
author:
- first_name: S
full_name: Vieluf, S
last_name: Vieluf
- first_name: V
full_name: Scheer, V
last_name: Scheer
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: PJ
full_name: Schreier, PJ
last_name: Schreier
- first_name: Claus
full_name: Reinsberger, Claus
id: '48978'
last_name: Reinsberger
citation:
ama: 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.
apa: Vieluf, S., Scheer, V., Hasija, T., Schreier, P., & Reinsberger, C. (2020).
Multimodal approach towards understanding the changes in the autonomic nervous
system induced by an ultramarathon. Res Sports Med, 28(2), 231–240.
bibtex: '@article{Vieluf_Scheer_Hasija_Schreier_Reinsberger_2020, title={Multimodal
approach towards understanding the changes in the autonomic nervous system induced
by an ultramarathon.}, volume={28}, number={2}, journal={Res Sports Med}, author={Vieluf,
S and Scheer, V and Hasija, Tanuj and Schreier, PJ and Reinsberger, Claus}, year={2020},
pages={231–240} }'
chicago: 'Vieluf, S, V Scheer, Tanuj Hasija, PJ Schreier, and Claus Reinsberger.
“Multimodal Approach towards Understanding the Changes in the Autonomic Nervous
System Induced by an Ultramarathon.” Res Sports Med 28, no. 2 (2020): 231–40.'
ieee: S. Vieluf, V. Scheer, T. Hasija, P. Schreier, and C. Reinsberger, “Multimodal
approach towards understanding the changes in the autonomic nervous system induced
by an ultramarathon.,” Res Sports Med, vol. 28, no. 2, pp. 231–240, 2020.
mla: Vieluf, S., et al. “Multimodal Approach towards Understanding the Changes in
the Autonomic Nervous System Induced by an Ultramarathon.” Res Sports Med,
vol. 28, no. 2, 2020, pp. 231–40.
short: S. Vieluf, V. Scheer, T. Hasija, P. Schreier, C. Reinsberger, Res Sports
Med 28 (2020) 231–240.
date_created: 2022-06-07T09:13:10Z
date_updated: 2023-02-06T09:07:54Z
department:
- _id: '35'
- _id: '176'
- _id: '17'
- _id: '263'
external_id:
pmid:
- '31522535'
intvolume: ' 28'
issue: '2'
language:
- iso: eng
page: 231-240
pmid: '1'
publication: Res Sports Med
publication_identifier:
issn:
- 1543-8627
- 1543-8635
status: public
title: Multimodal approach towards understanding the changes in the autonomic nervous
system induced by an ultramarathon.
type: journal_article
user_id: '33213'
volume: 28
year: '2020'
...
---
_id: '37612'
author:
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Martin
full_name: Gölz, Martin
last_name: Gölz
- first_name: Michael
full_name: Muma, Michael
last_name: Muma
- first_name: Peter J
full_name: Schreier, Peter J
last_name: Schreier
- first_name: Abdelhak M
full_name: Zoubir, Abdelhak M
last_name: Zoubir
citation:
ama: '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.'
apa: Hasija, T., Gölz, M., Muma, M., Schreier, P. J., & Zoubir, A. M. (2019).
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor
Networks. Proc. Asilomar Conf. on Signals, Systems, Computers.
bibtex: '@inproceedings{Hasija_Gölz_Muma_Schreier_Zoubir_2019, title={Source Enumeration
and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks}, booktitle={Proc.
Asilomar Conf. on Signals, Systems, Computers}, author={Hasija, Tanuj and Gölz,
Martin and Muma, Michael and Schreier, Peter J and Zoubir, Abdelhak M}, year={2019}
}'
chicago: Hasija, Tanuj, Martin Gölz, Michael Muma, Peter J Schreier, and Abdelhak
M Zoubir. “Source Enumeration and Robust Voice Activity Detection in Wireless
Acoustic Sensor Networks.” In Proc. Asilomar Conf. on Signals, Systems, Computers,
2019.
ieee: T. Hasija, M. Gölz, M. Muma, P. J. Schreier, and A. M. Zoubir, “Source Enumeration
and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks,” 2019.
mla: Hasija, Tanuj, et al. “Source Enumeration and Robust Voice Activity Detection
in Wireless Acoustic Sensor Networks.” Proc. Asilomar Conf. on Signals, Systems,
Computers, 2019.
short: 'T. Hasija, M. Gölz, M. Muma, P.J. Schreier, A.M. Zoubir, in: Proc. Asilomar
Conf. on Signals, Systems, Computers, 2019.'
date_created: 2023-01-19T15:02:09Z
date_updated: 2023-01-19T15:07:29Z
department:
- _id: '263'
language:
- iso: eng
publication: Proc. Asilomar Conf. on Signals, Systems, Computers
status: public
title: Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic
Sensor Networks
type: conference
user_id: '43497'
year: '2019'
...
---
_id: '40681'
author:
- first_name: Christian
full_name: Lameiro, Christian
last_name: Lameiro
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Tim
full_name: Marrinan, Tim
last_name: Marrinan
- first_name: Peter J
full_name: Schreier, Peter J
last_name: Schreier
citation:
ama: '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.'
apa: Lameiro, C., Hasija, T., Marrinan, T., & Schreier, P. J. (2019). Estimating
the Number of Correlated Components Based on Random Projections. ICASSP 2019-2019
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
5152–5156.
bibtex: '@inproceedings{Lameiro_Hasija_Marrinan_Schreier_2019, title={Estimating
the Number of Correlated Components Based on Random Projections}, booktitle={ICASSP
2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP)}, author={Lameiro, Christian and Hasija, Tanuj and Marrinan, Tim and
Schreier, Peter J}, year={2019}, pages={5152–5156} }'
chicago: Lameiro, Christian, Tanuj Hasija, Tim Marrinan, and Peter J Schreier. “Estimating
the Number of Correlated Components Based on Random Projections.” In ICASSP
2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP), 5152–5156, 2019.
ieee: C. Lameiro, T. Hasija, T. Marrinan, and P. J. Schreier, “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, pp. 5152–5156.
mla: Lameiro, Christian, et al. “Estimating the Number of Correlated Components
Based on Random Projections.” ICASSP 2019-2019 IEEE International Conference
on Acoustics, Speech and Signal Processing (ICASSP), 2019, pp. 5152–5156.
short: '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.'
date_created: 2023-01-30T11:51:36Z
date_updated: 2023-01-30T12:06:42Z
department:
- _id: '263'
language:
- iso: eng
page: 5152–5156
publication: ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and
Signal Processing (ICASSP)
status: public
title: Estimating the Number of Correlated Components Based on Random Projections
type: conference
user_id: '43497'
year: '2019'
...
---
_id: '31709'
author:
- first_name: S
full_name: Vieluf, S
last_name: Vieluf
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Rasmus
full_name: Jakobsmeyer, Rasmus
id: '9583'
last_name: Jakobsmeyer
- first_name: PJ
full_name: Schreier, PJ
last_name: Schreier
- first_name: Claus
full_name: Reinsberger, Claus
id: '48978'
last_name: Reinsberger
citation:
ama: 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.
apa: Vieluf, S., Hasija, T., Jakobsmeyer, R., Schreier, P., & Reinsberger, C.
(2019). Exercise-Induced Changes of Multimodal Interactions Within the Autonomic
Nervous Network. Front Physiol, 10, 240.
bibtex: '@article{Vieluf_Hasija_Jakobsmeyer_Schreier_Reinsberger_2019, title={Exercise-Induced
Changes of Multimodal Interactions Within the Autonomic Nervous Network.}, volume={10},
journal={Front Physiol}, author={Vieluf, S and Hasija, Tanuj and Jakobsmeyer,
Rasmus and Schreier, PJ and Reinsberger, Claus}, year={2019}, pages={240} }'
chicago: 'Vieluf, S, Tanuj Hasija, Rasmus Jakobsmeyer, PJ Schreier, and Claus Reinsberger.
“Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous
Network.” Front Physiol 10 (2019): 240.'
ieee: S. Vieluf, T. Hasija, R. Jakobsmeyer, P. Schreier, and C. Reinsberger, “Exercise-Induced
Changes of Multimodal Interactions Within the Autonomic Nervous Network.,” Front
Physiol, vol. 10, p. 240, 2019.
mla: Vieluf, S., et al. “Exercise-Induced Changes of Multimodal Interactions Within
the Autonomic Nervous Network.” Front Physiol, vol. 10, 2019, p. 240.
short: S. Vieluf, T. Hasija, R. Jakobsmeyer, P. Schreier, C. Reinsberger, Front
Physiol 10 (2019) 240.
date_created: 2022-06-07T09:12:46Z
date_updated: 2023-02-06T09:08:39Z
department:
- _id: '35'
- _id: '176'
- _id: '17'
- _id: '263'
external_id:
pmid:
- '30984010'
intvolume: ' 10'
language:
- iso: eng
page: '240'
pmid: '1'
publication: Front Physiol
publication_identifier:
issn:
- 1664-042x
status: public
title: Exercise-Induced Changes of Multimodal Interactions Within the Autonomic Nervous
Network.
type: journal_article
user_id: '33213'
volume: 10
year: '2019'
...
---
_id: '40702'
author:
- first_name: T.
full_name: Marrinan, T.
last_name: Marrinan
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: C.
full_name: Lameiro, C.
last_name: Lameiro
- first_name: P. J.
full_name: Schreier, P. J.
last_name: Schreier
citation:
ama: '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.'
apa: Marrinan, T., Hasija, T., Lameiro, C., & Schreier, P. J. (2018). Complete
Model Selection in Multiset Canonical Correlation Analysis. Proc. European
Signal Process. Conf. (EUSIPCO), 1082–1086.
bibtex: '@inproceedings{Marrinan_Hasija_Lameiro_Schreier_2018, title={Complete Model
Selection in Multiset Canonical Correlation Analysis}, booktitle={Proc. European
Signal Process. Conf. (EUSIPCO)}, author={Marrinan, T. and Hasija, Tanuj and Lameiro,
C. and Schreier, P. J.}, year={2018}, pages={1082–1086} }'
chicago: Marrinan, T., Tanuj Hasija, C. Lameiro, and P. J. Schreier. “Complete Model
Selection in Multiset Canonical Correlation Analysis.” In Proc. European Signal
Process. Conf. (EUSIPCO), 1082–1086, 2018.
ieee: T. Marrinan, T. Hasija, C. Lameiro, and P. J. Schreier, “Complete Model Selection
in Multiset Canonical Correlation Analysis,” in Proc. European Signal Process.
Conf. (EUSIPCO), 2018, pp. 1082–1086.
mla: Marrinan, T., et al. “Complete Model Selection in Multiset Canonical Correlation
Analysis.” Proc. European Signal Process. Conf. (EUSIPCO), 2018, pp. 1082–1086.
short: 'T. Marrinan, T. Hasija, C. Lameiro, P.J. Schreier, in: Proc. European Signal
Process. Conf. (EUSIPCO), 2018, pp. 1082–1086.'
date_created: 2023-01-30T11:51:39Z
date_updated: 2023-01-30T12:07:14Z
department:
- _id: '263'
language:
- iso: eng
page: 1082–1086
publication: Proc. European Signal Process. Conf. (EUSIPCO)
status: public
title: Complete Model Selection in Multiset Canonical Correlation Analysis
type: conference
user_id: '43497'
year: '2018'
...
---
_id: '40711'
abstract:
- lang: eng
text: 'Abstract: A complex-valued signal is improper if it is correlated with its
complex conjugate. The dimension of the improper signal subspace, i.e., the number
of improper components in a complex-valued measurement, is an important parameter
and is unknown in most of the applications. In this letter, we introduce two approaches
to estimate this dimension: one based on an information-theoretic criterion and
the other based on hypothesis testing. We also present reduced-rank versions of
these approaches that work for scenarios where the number of observations is comparable
to or even smaller than the dimension of the data. Unlike other techniques for
determining model orders, our techniques also work in the presence of additive
colored noise.'
author:
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Christian
full_name: Lameiro, Christian
last_name: Lameiro
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
citation:
ama: 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.
apa: Hasija, T., Lameiro, C., & Schreier, P. J. (2017). Determining the dimension
of the improper signal subspace in complex-valued data. IEEE Signal Process.
Lett., 24, 1606–1610.
bibtex: '@article{Hasija_Lameiro_Schreier_2017, title={Determining the dimension
of the improper signal subspace in complex-valued data}, volume={24}, journal={IEEE
Signal Process. Lett.}, author={Hasija, Tanuj and Lameiro, Christian and Schreier,
Peter J.}, year={2017}, pages={1606–1610} }'
chicago: 'Hasija, Tanuj, Christian Lameiro, and Peter J. Schreier. “Determining
the Dimension of the Improper Signal Subspace in Complex-Valued Data.” IEEE
Signal Process. Lett. 24 (2017): 1606–1610.'
ieee: T. Hasija, C. Lameiro, and P. J. Schreier, “Determining the dimension of the
improper signal subspace in complex-valued data,” IEEE Signal Process. Lett.,
vol. 24, pp. 1606–1610, 2017.
mla: Hasija, Tanuj, et al. “Determining the Dimension of the Improper Signal Subspace
in Complex-Valued Data.” IEEE Signal Process. Lett., vol. 24, 2017, pp.
1606–1610.
short: T. Hasija, C. Lameiro, P.J. Schreier, IEEE Signal Process. Lett. 24 (2017)
1606–1610.
date_created: 2023-01-30T11:51:41Z
date_updated: 2023-01-30T12:08:06Z
department:
- _id: '263'
intvolume: ' 24'
language:
- iso: eng
page: 1606–1610
publication: IEEE Signal Process. Lett.
status: public
title: Determining the dimension of the improper signal subspace in complex-valued
data
type: journal_article
user_id: '43497'
volume: 24
year: '2017'
...
---
_id: '40720'
author:
- first_name: Yang
full_name: Song, Yang
last_name: Song
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
- first_name: David
full_name: Ramírez, David
last_name: Ramírez
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
citation:
ama: 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.
apa: Song, Y., Schreier, P. J., Ramírez, D., & Hasija, T. (2016). Canonical
correlation analysis of high-dimensional data with very small sample support.
Signal Process., 128, 449–458.
bibtex: '@article{Song_Schreier_Ramírez_Hasija_2016, title={Canonical correlation
analysis of high-dimensional data with very small sample support}, volume={128},
journal={Signal Process.}, author={Song, Yang and Schreier, Peter J. and Ramírez,
David and Hasija, Tanuj}, year={2016}, pages={449–458} }'
chicago: 'Song, Yang, Peter J. Schreier, David Ramírez, and Tanuj Hasija. “Canonical
Correlation Analysis of High-Dimensional Data with Very Small Sample Support.”
Signal Process. 128 (2016): 449–458.'
ieee: Y. Song, P. J. Schreier, D. Ramírez, and T. Hasija, “Canonical correlation
analysis of high-dimensional data with very small sample support,” Signal Process.,
vol. 128, pp. 449–458, 2016.
mla: Song, Yang, et al. “Canonical Correlation Analysis of High-Dimensional Data
with Very Small Sample Support.” Signal Process., vol. 128, 2016, pp. 449–458.
short: Y. Song, P.J. Schreier, D. Ramírez, T. Hasija, Signal Process. 128 (2016)
449–458.
date_created: 2023-01-30T11:51:42Z
date_updated: 2023-01-30T12:07:39Z
department:
- _id: '263'
intvolume: ' 128'
language:
- iso: eng
page: 449–458
publication: Signal Process.
status: public
title: Canonical correlation analysis of high-dimensional data with very small sample
support
type: journal_article
user_id: '43497'
volume: 128
year: '2016'
...
---
_id: '40723'
author:
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Yang
full_name: Song, Yang
last_name: Song
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
- first_name: David
full_name: Ramírez, David
last_name: Ramírez
citation:
ama: '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.'
apa: Hasija, T., Song, Y., Schreier, P. J., & Ramírez, D. (2016). Detecting
the dimension of the subspace correlated across multiple data sets in the sample
poor regime. Proc.\ IEEE Work.\ Stat.\ Signal Process.
bibtex: '@inproceedings{Hasija_Song_Schreier_Ramírez_2016, place={Palma de Mallorca,
Spain}, title={Detecting the dimension of the subspace correlated across multiple
data sets in the sample poor regime}, booktitle={Proc.\ IEEE Work.\ Stat.\ Signal
Process.}, author={Hasija, Tanuj and Song, Yang and Schreier, Peter J. and Ramírez,
David}, year={2016} }'
chicago: Hasija, Tanuj, Yang Song, Peter J. Schreier, and David Ramírez. “Detecting
the Dimension of the Subspace Correlated across Multiple Data Sets in the Sample
Poor Regime.” In Proc.\ IEEE Work.\ Stat.\ Signal Process. Palma de Mallorca,
Spain, 2016.
ieee: T. Hasija, Y. Song, P. J. Schreier, and D. Ramírez, “Detecting the dimension
of the subspace correlated across multiple data sets in the sample poor regime,”
2016.
mla: Hasija, Tanuj, et al. “Detecting the Dimension of the Subspace Correlated across
Multiple Data Sets in the Sample Poor Regime.” Proc.\ IEEE Work.\ Stat.\ Signal
Process., 2016.
short: 'T. Hasija, Y. Song, P.J. Schreier, D. Ramírez, in: Proc.\ IEEE Work.\ Stat.\
Signal Process., Palma de Mallorca, Spain, 2016.'
date_created: 2023-01-30T11:51:42Z
date_updated: 2023-01-30T12:07:23Z
department:
- _id: '263'
language:
- iso: eng
place: Palma de Mallorca, Spain
publication: Proc.\ IEEE Work.\ Stat.\ Signal Process.
status: public
title: Detecting the dimension of the subspace correlated across multiple data sets
in the sample poor regime
type: conference
user_id: '43497'
year: '2016'
...
---
_id: '40718'
author:
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Yang
full_name: Song, Yang
last_name: Song
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
- first_name: David
full_name: Ramírez, David
last_name: Ramírez
citation:
ama: '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.'
apa: Hasija, T., Song, Y., Schreier, P. J., & Ramírez, D. (2016). Bootstrap-based
detection of the number of signals correlated across multiple data sets. Proc.\
Asilomar Conf.\ Signals\ Syst. Computers.
bibtex: '@inproceedings{Hasija_Song_Schreier_Ramírez_2016, place={Pacific Grove,
CA, USA}, title={Bootstrap-based detection of the number of signals correlated
across multiple data sets}, booktitle={Proc.\ Asilomar Conf.\ Signals\ Syst. Computers},
author={Hasija, Tanuj and Song, Yang and Schreier, Peter J. and Ramírez, David},
year={2016} }'
chicago: Hasija, Tanuj, Yang Song, Peter J. Schreier, and David Ramírez. “Bootstrap-Based
Detection of the Number of Signals Correlated across Multiple Data Sets.” In Proc.\
Asilomar Conf.\ Signals\ Syst. Computers. Pacific Grove, CA, USA, 2016.
ieee: T. Hasija, Y. Song, P. J. Schreier, and D. Ramírez, “Bootstrap-based detection
of the number of signals correlated across multiple data sets,” 2016.
mla: Hasija, Tanuj, et al. “Bootstrap-Based Detection of the Number of Signals Correlated
across Multiple Data Sets.” Proc.\ Asilomar Conf.\ Signals\ Syst. Computers,
2016.
short: 'T. Hasija, Y. Song, P.J. Schreier, D. Ramírez, in: Proc.\ Asilomar Conf.\
Signals\ Syst. Computers, Pacific Grove, CA, USA, 2016.'
date_created: 2023-01-30T11:51:42Z
date_updated: 2023-01-30T12:07:48Z
department:
- _id: '263'
language:
- iso: eng
place: Pacific Grove, CA, USA
publication: Proc.\ Asilomar Conf.\ Signals\ Syst. Computers
status: public
title: Bootstrap-based detection of the number of signals correlated across multiple
data sets
type: conference
user_id: '43497'
year: '2016'
...
---
_id: '40721'
author:
- first_name: Yang
full_name: Song, Yang
last_name: Song
- first_name: Tanuj
full_name: Hasija, Tanuj
id: '43497'
last_name: Hasija
- first_name: Peter J.
full_name: Schreier, Peter J.
last_name: Schreier
- first_name: David
full_name: Ramírez, David
last_name: Ramírez
citation:
ama: '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.'
apa: Song, Y., Hasija, T., Schreier, P. J., & Ramírez, D. (2016). Determining
the number of signals correlated across multiple data sets for small sample support.
Proc.\ Eur.\ Signal Process.\ Conf.
bibtex: '@inproceedings{Song_Hasija_Schreier_Ramírez_2016, place={Budapest, Hungary},
title={Determining the number of signals correlated across multiple data sets
for small sample support}, booktitle={Proc.\ Eur.\ Signal Process.\ Conf.}, author={Song,
Yang and Hasija, Tanuj and Schreier, Peter J. and Ramírez, David}, year={2016}
}'
chicago: Song, Yang, Tanuj Hasija, Peter J. Schreier, and David Ramírez. “Determining
the Number of Signals Correlated across Multiple Data Sets for Small Sample Support.”
In Proc.\ Eur.\ Signal Process.\ Conf. Budapest, Hungary, 2016.
ieee: Y. Song, T. Hasija, P. J. Schreier, and D. Ramírez, “Determining the number
of signals correlated across multiple data sets for small sample support,” 2016.
mla: Song, Yang, et al. “Determining the Number of Signals Correlated across Multiple
Data Sets for Small Sample Support.” Proc.\ Eur.\ Signal Process.\ Conf.,
2016.
short: 'Y. Song, T. Hasija, P.J. Schreier, D. Ramírez, in: Proc.\ Eur.\ Signal Process.\
Conf., Budapest, Hungary, 2016.'
date_created: 2023-01-30T11:51:42Z
date_updated: 2023-01-30T12:07:58Z
department:
- _id: '263'
language:
- iso: eng
place: Budapest, Hungary
publication: Proc.\ Eur.\ Signal Process.\ Conf.
status: public
title: Determining the number of signals correlated across multiple data sets for
small sample support
type: conference
user_id: '43497'
year: '2016'
...