Asif Iqbal
Orcid: 0000-0002-4657-4451Affiliations:
- University of Melbourne, Department of Electrical and Electronic Engineering, VIC, Australia
According to our database1,
Asif Iqbal
authored at least 22 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
Privacy Preserving Inference for Deep Neural Networks: Optimizing Homomorphic Encryption for Efficient and Secure Classification.
IEEE Access, 2024
2023
Pattern Recognit. Lett., August, 2023
Representation Learning based Time Synchronization Attack Detection for Synchrophasors.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the IEEE Global Communications Conference, 2023
2020
Signal Process., 2020
2019
Learning sparse methods for multi-subject brain data analysis via dictionary learning.
PhD thesis, 2019
IEEE Trans. Image Process., 2019
A Sequential Block-Structured Dictionary Learning Algorithm for Block Sparse Representations.
IEEE Trans. Computational Imaging, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
Proceedings of the IEEE International Conference on Acoustics, 2019
2018
Shared and Subject-Specific Dictionary Learning (ShSSDL) Algorithm for Multisubject fMRI Data Analysis.
IEEE Trans. Biomed. Eng., 2018
The adaptive block sparse PCA and its application to multi-subject FMRI data analysis using sparse mCCA.
Signal Process., 2018
A dictionary learning algorithm for multi-subject fMRI analysis based on a hybrid concatenation scheme.
Digit. Signal Process., 2018
Dictionary Learning Algorithm for Multi-Subject Fmri Analysis Via Temporal and Spatial Concatenation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
An Algorithm for Multi Subject Fmri Analysis Based on the SVD and Penalized Rank-1 Matrix Approximation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018
2017
Basis Expansion Approaches for Regularized Sequential Dictionary Learning Algorithms With Enforced Sparsity for fMRI Data Analysis.
IEEE Trans. Medical Imaging, 2017
Sequential Dictionary Learning From Correlated Data: Application to fMRI Data Analysis.
IEEE Trans. Image Process., 2017
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017
CSMSDL: A common sequential dictionary learning algorithm for multi-subject FMRI data sets analysis.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
BSmCCA: A block sparse multiple-set canonical correlation analysis algorithm for multi-subject fMRI data sets.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017