17 Publications
2024 | Conference Paper | LibreCat-ID: 53304
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
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53301
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
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
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
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 40669
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.
LibreCat
2022 | Conference Paper | LibreCat-ID: 40670
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
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 49825
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
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 37611
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
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 31710
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.
LibreCat
| PubMed | Europe PMC
2019 | Conference Paper | LibreCat-ID: 37612
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.
LibreCat
2019 | Conference Paper | LibreCat-ID: 40681
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.
LibreCat
2019 | Journal Article | LibreCat-ID: 31709
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.
LibreCat
| PubMed | Europe PMC
2018 | Conference Paper | LibreCat-ID: 40702
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.
LibreCat
2017 | Journal Article | LibreCat-ID: 40711
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.
LibreCat
2016 | Journal Article | LibreCat-ID: 40720
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 40723
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 40718
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 40721
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.
LibreCat
17 Publications
2024 | Conference Paper | LibreCat-ID: 53304
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
LibreCat
| DOI
2023 | Journal Article | LibreCat-ID: 53301
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
LibreCat
| DOI
2023 | Conference Paper | LibreCat-ID: 53303
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
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 40669
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.
LibreCat
2022 | Conference Paper | LibreCat-ID: 40670
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
LibreCat
| DOI
2022 | Conference Paper | LibreCat-ID: 49825
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
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 37611
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
LibreCat
| DOI
2020 | Journal Article | LibreCat-ID: 31710
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.
LibreCat
| PubMed | Europe PMC
2019 | Conference Paper | LibreCat-ID: 37612
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.
LibreCat
2019 | Conference Paper | LibreCat-ID: 40681
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.
LibreCat
2019 | Journal Article | LibreCat-ID: 31709
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.
LibreCat
| PubMed | Europe PMC
2018 | Conference Paper | LibreCat-ID: 40702
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.
LibreCat
2017 | Journal Article | LibreCat-ID: 40711
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.
LibreCat
2016 | Journal Article | LibreCat-ID: 40720
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 40723
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 40718
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.
LibreCat
2016 | Conference Paper | LibreCat-ID: 40721
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.
LibreCat