Ben Gabrielson

According to our database, Ben Gabrielson authored at least 19 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Large-Scale Independent Vector Analysis (IVA-G) via Coresets.

Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali

IEEE Trans. Signal Process., 2025

Adaptive Constrained ICA with Mixing Matrix Column Constraints: Application to fMRI Data.

Chunying Jia, Weixin Wang, Trung Vu, Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali

Proceedings of the 59th Annual Conference on Information Sciences and Systems, 2025

Grassmannian Kernels for Efficient and Effective Detection of Group Differences in fMRI Data.

Ashfia Binte Habib, Ben Gabrielson, Hanlu Yang, Vince D. Calhoun, Tülay Adali

Proceedings of the 59th Annual Conference on Information Sciences and Systems, 2025

2024

Learning Spatiotemporal Brain Dynamics in Adolescents via Multimodal MEG and fMRI Data Fusion Using Joint Tensor/Matrix Decomposition.

Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali

IEEE Trans. Biomed. Eng., July, 2024

An Efficient Analytic Solution for Joint Blind Source Separation.

Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Isabell Lehmann, Tülay Adali

IEEE Trans. Signal Process., 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

Mode Coresets for Efficient, Interpretable Tensor Decompositions: An Application to Feature Selection in fMRI Analysis.

Ben Gabrielson, Hanlu Yang, Trung Vu, Vince D. Calhoun, Tülay Adali

IEEE Access, 2024

A Robust and Scalable Method with an Analytic Solution for Multi-Subject FMRI Data Analysis.

Trung Vu, Hanlu Yang, Francisco Laport, Ben Gabrielson, Vince D. Calhoun, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.

Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali

Neuroinformatics, January, 2023

Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.

Irina Belyaeva, Ben Gabrielson, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali

Neuroinformatics, January, 2023

A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis.

Mingyu Sun, Ben Gabrielson, Mohammad Abu Baker Siddique Akhonda, Hanlu Yang, Francisco Laport, Vince D. Calhoun, Tülay Adali

Sensors, 2023

Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data.

Hanlu Yang, Fateme Ghayem, Ben Gabrielson, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2023

Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression.

Ben Gabrielson, Mingyu Sun, Mohammad A. B. S. Akhonda, Vince D. Calhoun, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2023

A Proximal Approach to IVA-G with Convergence Guarantees.

Clément Cosserat, Ben Gabrielson, Emilie Chouzenoux, Jean-Christophe Pesquet, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2023

REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS.

Hanlu Yang, Ben Gabrielson, Vince D. Calhoun, Tülay Adali

Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022

An ICA-based framework for joint analysis of cognitive scores and MEG event-related fields.

Poomipat Boonyakitanont, Ben Gabrielson, Irina Belyaeva, Parthan Olikkal, Jitkomut Songsiri, Yu-Ping Wang, Tony W. Wilson, Vince D. Calhoun, Julia M. Stephen, Tülay Adali

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

ICA with Orthogonality Constraint: Identifiability And A New Efficient Algorithm.

Ben Gabrielson, Mohammad A. B. S. Akhonda, Zois Boukouvalas, Seung-Jun Kim, Tülay Adali

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Joint-IVA for identification of discriminating features in EEG: Application to a driving study.

Ben Gabrielson, Mohammad A. B. S. Akhonda, Suchita Bhinge, Justin Brooks, Qunfang Long, Tülay Adali

Biomed. Signal Process. Control., 2020

2018

Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.

Qunfang Long, Chunying Jia, Zois Boukouvalas, Ben Gabrielson, Darren Emge, Tülay Adali

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018