Mohammad A. B. S. Akhonda
Orcid: 0000-0003-0826-453XAffiliations:
- University of Maryland, Baltimore, MD, USA
According to our database1,
Mohammad A. B. S. Akhonda
authored at least 17 papers
between 2018 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
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
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
Coupled CP Tensor Decomposition with Shared and Distinct Components for Multi-Task Fmri Data Fusion.
Proceedings of the IEEE International Conference on Acoustics, 2023
2022
Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness.
IEEE Signal Process. Mag., 2022
Association of Neuroimaging Data with Behavioral Variables: A Class of Multivariate Methods and Their Comparison Using Multi-Task FMRI Data.
Sensors, 2022
Independent Vector Analysis Based Subgroup Identification from Multisubject fMRI Data.
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
Proceedings of the IEEE International Conference on Acoustics, 2021
2020
Dictionary Learning-Based fMRI Data Analysis for Capturing Common and Individual Neural Activation Maps.
IEEE J. Sel. Top. Signal Process., 2020
Joint-IVA for identification of discriminating features in EEG: Application to a driving study.
Biomed. Signal Process. Control., 2020
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020
2019
C-ICT for Discovery of Multiple Associations in Multimodal Imaging Data: Application to Fusion of fMRI and DTI Data.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
Disjoint Subspaces for Common and Distinct Component Analysis: Application to Task FMRI Data.
Proceedings of the 53rd Annual Conference on Information Sciences and Systems, 2019
2018
Consecutive Independence and Correlation Transform for Multimodal Fusion: Application to Eeg and Fmri Data.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
Capturing Common and Individual Components in fMRI Data by Discriminative Dictionary Learning.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018