Soosan Beheshti

Orcid: 0000-0001-7161-5887

Affiliations:
  • Toronto Metropolitan University, Canada


According to our database1, Soosan Beheshti authored at least 89 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Online presence:

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Bibliography

2024
Context-Aware Query Term Difficulty Estimation for Performance Prediction.
Proceedings of the Advances in Information Retrieval, 2024

2023
A hybrid approach for tracking borders in echocardiograms.
Signal Image Video Process., March, 2023

Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes.
Cogn. Comput., January, 2023

Separability and Scatteredness (S&S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection.
CoRR, 2023

Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models.
CoRR, 2023

Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding.
Biomed. Signal Process. Control., 2023

Relative Entropy (RE)-Based LTI System Modeling Equipped With Simultaneous Time Delay Estimation and Online Modeling.
IEEE Access, 2023

Granger Causality Pattern Learning Equipped with Noise Invalidation Soft Thresholding.
Proceedings of the 31st European Signal Processing Conference, 2023

2022
Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling.
CoRR, 2022

2021
Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability.
Signal Process., 2021

Echocardiographic image segmentation using deep Res-U network.
Biomed. Signal Process. Control., 2021

Echocardiogram segmentation using active shape model and mean squared eigenvalue error.
Biomed. Signal Process. Control., 2021

Centrality Based Number of Cluster Estimation in Graph Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2021

Automatic Order Selection in Autoregressive Modeling with Application in EEG Sleep-Stage Classification.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Spatial analysis of EEG signals for Parkinson's disease stage detection.
Signal Image Video Process., 2020

Hyperspectral image classification based on sparse modeling of spectral blocks.
Neurocomputing, 2020

K-MACE and Kernel K-MACE Clustering.
IEEE Access, 2020

MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

Pole-Zero REM Modeling with Application in EEG Artifact Removal.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
Joint Preprocessing of Multiple Datasets to Enhance Source Separation.
IEEE Signal Process. Lett., 2019

Block sparse multi-lead ECG compression exploiting between-lead collaboration.
IET Signal Process., 2019

Higher Resolution sLORETA (HR-sLORETA) in EEG Source Imaging.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

Correct Number of Clusters (CNC) Description Length in Arbitrary Shape Clustering.
Proceedings of the 16th Canadian Workshop on Information Theory, 2019

Automated EEG Source Error Thresholding (AESET) in L2-Regularization Inverse Problems.
Proceedings of the 16th Canadian Workshop on Information Theory, 2019

Efficient Blinking Component Estimation in Subspace-Based EEG and MEG Analysis.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Number of Source Signal Estimation by the Mean Squared Eigenvalue Error.
IEEE Trans. Signal Process., 2018

Data-driven subspace predictive control: Stability and horizon tuning.
J. Frankl. Inst., 2018

Particle swarm optimization based fuzzy gain scheduled subspace predictive control.
Eng. Appl. Artif. Intell., 2018

ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework.
Biomed. Signal Process. Control., 2018

Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning for Retinal Vessel Inpainting.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Kernel K-Mace Clustering.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2016
Correlation Based Online Dictionary Learning Algorithm.
IEEE Trans. Signal Process., 2016

Signature test as statistical testing in clustering.
Signal Image Video Process., 2016

Subband-dependent compressed sensing in local CT reconstruction.
Signal Image Video Process., 2016

Generalized adaptive weighted recursive least squares dictionary learning.
Signal Process., 2016

CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise.
Digit. Signal Process., 2016

Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

A novel approach in household electricity consumption forecasting.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

Reconstruction-error distortion in LTI system modeling.
Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

Fuzzy Gain Scheduling of Subspace Predictive Controller.
Proceedings of the 2016 American Control Conference, 2016

2015
Similarity Validation Based Nonlocal Means Image Denoising.
IEEE Signal Process. Lett., 2015

Adaptive updating of regularization parameters.
Signal Process., 2015

Adaptively Tuned Iterative Low Dose CT Image Denoising.
Comput. Math. Methods Medicine, 2015

Accelerated Compressed Sensing Based CT Image Reconstruction.
Comput. Math. Methods Medicine, 2015

Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation.
Biomed. Signal Process. Control., 2015

A new approach for SSVEP detection using PARAFAC and canonical correlation analysis.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

Gaussian multiple-access relay channels with non-causal side information at the transmitters.
Proceedings of the 14th IEEE Canadian Workshop on Information Theory, 2015

Competitive clustering of wireless sensor networks with ultra-wideband multiple-access relay channel.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

A realistic attack on SVD based watermarking scheme.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

Robustness of wavelet domain watermarking against scaling attack.
Proceedings of the IEEE 28th Canadian Conference on Electrical and Computer Engineering, 2015

2014
Adaptive Bayesian Denoising for General Gaussian Distributed Signals.
IEEE Trans. Signal Process., 2014

Sparsity aware consistent and high precision variable selection.
Signal Image Video Process., 2014

MACE-means clustering.
Signal Process., 2014

Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling.
CoRR, 2014

Efficient unimodality test in clustering by signature testing.
Proceedings of the IEEE International Conference on Acoustics, 2014

BM3D mridenoising equipped with noise invalidation technique.
Proceedings of the IEEE International Conference on Acoustics, 2014

Non-local total variation based low-dose Computed Tomography denoising.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

Model verification of GMM clustering based on signature testing.
Proceedings of the IEEE 27th Canadian Conference on Electrical and Computer Engineering, 2014

2013
Adaptive efficient sparse estimator achieving oracle properties.
IET Signal Process., 2013

Hand posture recognition using K-NN and Support Vector Machine classifiers evaluated on our proposed HandReader dataset.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Fast fan/parallel beam CS-based low-dose CT reconstruction.
Proceedings of the IEEE International Conference on Acoustics, 2013

Blind source separation in characterizing ECG pre-shock waveforms during ventricular fibrillation.
Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

2012
Region covariance descriptors calculated over the salient points for target tracking.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Improving X-means clustering with MNDL.
Proceedings of the 11th International Conference on Information Science, 2012

Minimum noiseless description length (MNDL) based regularization parameter selection.
Proceedings of the 11th International Conference on Information Science, 2012

Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning.
Proceedings of the 11th International Conference on Information Science, 2012

2011
Mean-Square Error in Periodogram Approaches With Adaptive Windowing.
IEEE Trans. Signal Process., 2011

Simultaneous Denoising and Intrinsic Order Selection in Hyperspectral Imaging.
IEEE Trans. Geosci. Remote. Sens., 2011

Mean Square Error Estimation in Thresholding.
IEEE Signal Process. Lett., 2011

Robust hyperspectral signal unmixing in the presence of correlated noise.
Proceedings of the IEEE International Conference on Acoustics, 2011

Speech recognition from adaptive windowing PSD estimation.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

Information theoretic assessment of correlated noise in hyperspectral signal unmixing.
Proceedings of the 24th Canadian Conference on Electrical and Computer Engineering, 2011

2010
Noise Invalidation Denoising.
IEEE Trans. Signal Process., 2010

Noisy data and impulse response estimation.
IEEE Trans. Signal Process., 2010

Adaptive Noise Variance Estimation in BayesShrink.
IEEE Signal Process. Lett., 2010

Noiseless Codelength in Wavelet Denoising.
EURASIP J. Adv. Signal Process., 2010

2009
A noiseless code length method (NCLM) to estimate dimensionality of hyperspectral data.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Kullback-Leibler distance in linear parametric modeling.
Proceedings of the 2008 IEEE International Symposium on Information Theory, 2008

Data Compression and Linear Modeling.
Proceedings of the 2008 Data Compression Conference (DCC 2008), 2008

2007
Optimum Segmentation and Windowing in Nonparametric Power Spectral Density Estimation.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

2006
A New Approach to Order Selection and Parametric Spectrum Estimation.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
A new information-theoretic approach to signal denoising and best basis selection.
IEEE Trans. Signal Process., 2005

2003
Noise variance in signal denoising.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

LTI systems, additive noise, and order estimation.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

A new minimum description length.
Proceedings of the American Control Conference, 2003

2002
Minimum description complexity.
PhD thesis, 2002

2000
On model quality evaluation of stable LTI systems.
Proceedings of the 39th IEEE Conference on Decision and Control, 2000

1998
Joint intersymbol and multiple-access interference suppression algorithms for CDMA systems.
Eur. Trans. Telecommun., 1998


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