Kuschel, Maurice, Tanuj Hasija, and Timothy Marrinan. “Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning.”https://doi.org/10.1109/icassp48485.2024.10446173__In ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024.https://doi.org/10.1109/icassp48485.2024.10446173 .

Vieluf, Solveig, Tanuj Hasija, Maurice Kuschel, Claus Reinsberger, and Tobias Loddenkemper. “Developing a Deep Canonical Correlation-Based Technique for Seizure Prediction.”https://doi.org/10.1016/j.eswa.2023.120986__Expert Systems with Applications 234 (2023).https://doi.org/10.1016/j.eswa.2023.120986 .

Kuschel, Maurice, Timothy Marrinan, and Tanuj Hasija. “Geodesic-Based Relaxation For Deep Canonical Correlation Analysis.”https://doi.org/10.1109/mlsp55844.2023.10285937__In 2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP). IEEE, 2023.https://doi.org/10.1109/mlsp55844.2023.10285937 .

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.

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 PARAFA.”https://doi.org/10.1109/ICASSP43922.2022.9747662__In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1466–70, 2022.https://doi.org/10.1109/ICASSP43922.2022.9747662 .

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 PARAFA.”https://doi.org/10.1109/icassp43922.2022.9747662__In ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2022.https://doi.org/10.1109/icassp43922.2022.9747662 .

Hasija, Tanuj, Timothy Marrinan, Christian Lameiro, and Peter J Schreier. “Determining the Dimension and Structure of the Subspace Correlated across Multiple Data Sets.”https://doi.org/10.1016/j.sigpro.2020.107613__Signal Processing 176 (2020).https://doi.org/10.1016/j.sigpro.2020.107613 .

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.