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2020 – today
- 2024
[j5]Isabell Lehmann
, Tanuj Hasija, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali:
Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. IEEE Access 12: 109443-109456 (2024)- [c10]Maurice Kuschel, Tanuj Hasija, Timothy Marrinan:
Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. ICASSP 2024: 6490-6494 - 2023
- [j4]Solveig Vieluf, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, Tobias Loddenkemper:
Developing a deep canonical correlation-based technique for seizure prediction. Expert Syst. Appl. 234: 120986 (2023) - [c9]Maurice Kuschel, Timothy Marrinan, Tanuj Hasija:
Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. MLSP 2023: 1-6 - 2022
- [c8]Tanuj Hasija, Timothy Marrinan:
A GLRT for estimating the number of correlated components in sample-poor mCCA. EUSIPCO 2022: 2091-2095 - [c7]Isabell Lehmann, Evrim Acar, Tanuj Hasija, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Peter J. Schreier, Tülay Adali:
Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. ICASSP 2022: 1466-1470 - 2020
- [j3]Tanuj Hasija, Timothy Marrinan, Christian Lameiro, Peter J. Schreier:
Determining the dimension and structure of the subspace correlated across multiple data sets. Signal Process. 176: 107613 (2020)
2010 – 2019
- 2019
- [c6]Tanuj Hasija, Martin Gölz, Michael Muma, Peter J. Schreier, Abdelhak M. Zoubir:
Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks. ACSSC 2019: 1257-1261 - [c5]Christian Lameiro, Tanuj Hasija, Tim Marrinan, Peter J. Schreier:
Estimating the Number of Correlated Components Based on Random Projections. ICASSP 2019: 5152-5156 - [i3]Tanuj Hasija, Christian Lameiro, Timothy Marrinan, Peter J. Schreier:
Determining the Dimension and Structure of the Subspace Correlated Across Multiple Data Sets. CoRR abs/1901.11366 (2019) - 2018
- [c4]Tim Marrinan, Tanuj Hasija, Christian Lameiro, Peter J. Schreier:
Complete Model Selection in Multiset Canonical Correlation Analysis. EUSIPCO 2018: 1082-1086 - 2017
- [j2]Tanuj Hasija, Christian Lameiro, Peter J. Schreier:
Determining the Dimension of the Improper Signal Subspace in Complex-Valued Data. IEEE Signal Process. Lett. 24(11): 1606-1610 (2017) - [i2]Tanuj Hasija, Christian Lameiro, Peter J. Schreier:
Determining the Dimension of the Improper Signal Subspace in Complex-Valued Data. CoRR abs/1707.01451 (2017) - 2016
- [j1]Yang Song, Peter J. Schreier, David Ramírez, Tanuj Hasija:
Canonical correlation analysis of high-dimensional data with very small sample support. Signal Process. 128: 449-458 (2016) - [c3]Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez:
Bootstrap-based detection of the number of signals correlated across multiple data sets. ACSSC 2016: 610-614 - [c2]Yang Song, Tanuj Hasija, Peter J. Schreier, David Ramírez:
Determining the number of signals correlated across multiple data sets for small sample support. EUSIPCO 2016: 1528-1532 - [c1]Tanuj Hasija, Yang Song, Peter J. Schreier, David Ramírez:
Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. SSP 2016: 1-5 - [i1]Yang Song, Peter J. Schreier, David Ramírez, Tanuj Hasija:
Canonical correlation analysis of high-dimensional data with very small sample support. CoRR abs/1604.02047 (2016)
Coauthor Index
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