Ben Gabrielson
According to our database1,
Ben Gabrielson
authored at least 11 papers
between 2018 and 2023.
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Bibliography
2023
Correction to: Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics, January, 2023
Multi-Subject Analysis for Brain Developmental Patterns Discovery via Tensor Decomposition of MEG Data.
Neuroinformatics, January, 2023
A Scalable Approach to Independent Vector Analysis by Shared Subspace Separation for Multi-Subject fMRI Analysis.
Sensors, 2023
Constrained Independent Component Analysis Based on Entropy Bound Minimization for Subgroup Identification from Multi-subject fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2023
Independent Vector Analysis with Multivariate Gaussian Model: a Scalable Method by Multilinear Regression.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
REGRESSION-ASSISTED INDEPENDENT VECTOR ANALYSIS: A SOLUTION TO LARGE-SCALE FMRI DATA ANALYSIS.
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.
Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022
2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Joint-IVA for identification of discriminating features in EEG: Application to a driving study.
Biomed. Signal Process. Control., 2020
2018
Consistent Run Selection for Independent Component Analysis: Application to Fmri Analysis.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018