Bootstrap-based detection of the number of signals correlated across multiple data sets. - Tanuj Hasija; Yang Song 012; Peter J. Schreier; David Ramírez 001 (ACSSC, 2016)

Determining the number of signals correlated across multiple data sets for small sample support. - Yang Song 012; Tanuj Hasija; Peter J. Schreier; David Ramírez 001 (EUSIPCO, 2016)

Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime. - Tanuj Hasija; Yang Song 012; Peter J. Schreier; David Ramírez 001 (SSP, 2016)

Canonical correlation analysis of high-dimensional data with very small sample support. - Yang Song 012; Peter J. Schreier; David Ramírez 001; Tanuj Hasija (Signal Process., 2016)

Determining the Dimension of the Improper Signal Subspace in Complex-Valued Data. - Tanuj Hasija; Christian Lameiro; Peter J. Schreier (IEEE Signal Process. Lett., 2017)

Complete Model Selection in Multiset Canonical Correlation Analysis. - Tim Marrinan; Tanuj Hasija; Christian Lameiro; Peter J. Schreier (EUSIPCO, 2018)

Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks. - Tanuj Hasija; Martin Gölz; Michael Muma; Peter J. Schreier; Abdelhak M. Zoubir (ACSSC, 2019)

Estimating the Number of Correlated Components Based on Random Projections. - Christian Lameiro; Tanuj Hasija; Tim Marrinan; Peter J. Schreier (ICASSP, 2019)

Determining the dimension and structure of the subspace correlated across multiple data sets. - Tanuj Hasija; Timothy Marrinan; Christian Lameiro; Peter J. Schreier (Signal Process., 2020)

A GLRT for estimating the number of correlated components in sample-poor mCCA. - Tanuj Hasija; Timothy Marrinan (EUSIPCO, 2022)

Multi-Task fMRI Data Fusion Using IVA and PARAFAC2. - Isabell Lehmann; Evrim Acar; Tanuj Hasija; Mohammad A. B. S. Akhonda; Vince D. Calhoun; Peter J. Schreier; Tülay Adali (ICASSP, 2022)

Geodesic-Based Relaxation For Deep Canonical Correlation Analysis. - Maurice Kuschel; Timothy Marrinan; Tanuj Hasija (MLSP, 2023)

Developing a deep canonical correlation-based technique for seizure prediction. - Solveig Vieluf; Tanuj Hasija; Maurice Kuschel; Claus Reinsberger; Tobias Loddenkemper (Expert Syst. Appl., 2023)

Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning. - Maurice Kuschel; Tanuj Hasija; Timothy Marrinan (ICASSP, 2024)

Identifying the Relationship Structure Among Multiple Datasets Using Independent Vector Analysis: Application to Multi-Task fMRI Data. - Isabell Lehmann; Tanuj Hasija; Ben Gabrielson; Mohammad A. B. S. Akhonda; Vince D. Calhoun; Tülay Adali (IEEE Access, 2024)

Explaining Representations in Correlation-based Deep Multiview Representation Learning. - Maurice Kuschel; Amr Alkhatib; Tanuj Hasija; Henrik Boström (ICASSP, 2025)

Improving wearable-based seizure prediction by feature fusion using an explainable growing network. - Tanuj Hasija; Maurice Kuschel; Michele Jackson; Stephanie Dailey; Henric Menne; Claus Reinsberger; Solveig Vieluf; Tobias Loddenkemper (Artif. Intell. Medicine, 2025)