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ORCIDSoosan Beheshti
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- affiliation: Toronto Metropolitan University, Canada
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2020 – today
- 2024
[c46]Abbas Saleminezhad
, Negar Arabzadeh, Soosan Beheshti, Ebrahim Bagheri:
Context-Aware Query Term Difficulty Estimation for Performance Prediction. ECIR (4) 2024: 30-39- [c45]Soosan Beheshti, Mahdi Shamsi, Younes Sadat-Nejad, Miaosen Zhou:
Polynomial Regression Hyperparameter Selection and Analysis using Reconstruction Error Minimization (REM). SDS 2024: 8-15 - 2023
- [j39]Mahdi Shamsi, Soosan Beheshti:
Relative Entropy (RE)-Based LTI System Modeling Equipped With Simultaneous Time Delay Estimation and Online Modeling. IEEE Access 11: 113885-113899 (2023) - [j38]Nastaran Khaleghi, Tohid Yousefi Rezaii, Soosan Beheshti, Saeed Meshgini:
Developing an efficient functional connectivity-based geometric deep network for automatic EEG-based visual decoding. Biomed. Signal Process. Control. 80(Part): 104221 (2023) - [j37]Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti, Saeed Meshgini:
Accurate Emotion Recognition Utilizing Extracted EEG Sources as Graph Neural Network Nodes. Cogn. Comput. 15(1): 176-189 (2023) - [j36]Yasser Ali, Soosan Beheshti, Farrokh Janabi-Sharifi, Tohid Yousefi Rezaii, Asim N. Cheema, João Pedrosa:
A hybrid approach for tracking borders in echocardiograms. Signal Image Video Process. 17(2): 453-461 (2023) - [c44]Khashayar Bayati, Karthikeyan Umapathy, Soosan Beheshti:
Granger Causality Pattern Learning Equipped with Noise Invalidation Soft Thresholding. EUSIPCO 2023: 2028-2032 - [i7]Soosan Beheshti, Mahdi Shamsi:
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models. CoRR abs/2303.16091 (2023) - [i6]Mahdi Shamsi, Soosan Beheshti:
Separability and Scatteredness (S&S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection. CoRR abs/2305.10219 (2023) - 2022
- [i5]Mahdi Shamsi, Soosan Beheshti:
Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling. CoRR abs/2210.01279 (2022) - 2021
- [j35]Yasser Ali, Farrokh Janabi-Sharifi, Soosan Beheshti:
Echocardiographic image segmentation using deep Res-U network. Biomed. Signal Process. Control. 64: 102248 (2021) - [j34]Yasser Ali, Soosan Beheshti, Farrokh Janabi-Sharifi:
Echocardiogram segmentation using active shape model and mean squared eigenvalue error. Biomed. Signal Process. Control. 69: 102807 (2021) - [j33]Saeideh Ghanbari Azar, Saeed Meshgini, Soosan Beheshti, Tohid Yousefi Rezaii:
Linear mixing model with scaled bundle dictionary for hyperspectral unmixing with spectral variability. Signal Process. 188: 108214 (2021) - [c43]Mahdi Shamsi, Soosan Beheshti:
Centrality Based Number of Cluster Estimation in Graph Clustering. ICASSP 2021: 3645-3649 - [c42]Farah Nassif, Soosan Beheshti:
Automatic Order Selection in Autoregressive Modeling with Application in EEG Sleep-Stage Classification. ICASSP 2021: 5135-5139 - 2020
- [j32]Soosan Beheshti, Edward W. Nidoy, Faizan Rahman:
K-MACE and Kernel K-MACE Clustering. IEEE Access 8: 17390-17403 (2020) - [j31]Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, Soosan Beheshti:
Hyperspectral image classification based on sparse modeling of spectral blocks. Neurocomputing 407: 12-23 (2020) - [j30]Erfan Naghsh, Mohamad Farzan Sabahi, Soosan Beheshti:
Spatial analysis of EEG signals for Parkinson's disease stage detection. Signal Image Video Process. 14(2): 397-405 (2020) - [c41]Mahdi Shamsi, Tohid Yousefi Rezaii, Soosan Beheshti:
MNDL Sparsity Order Selection for Compressed Sensing with Application in ECG Compression. EMBC 2020: 328-331 - [c40]Farah Nassif, Tohid Yousefi Rezaii, Soosan Beheshti:
Pole-Zero REM Modeling with Application in EEG Artifact Removal. EMBC 2020: 402-405 - [i4]Saeideh Ghanbari Azar, Saeed Meshgini, Tohid Yousefi Rezaii, Soosan Beheshti:
Hyperspectral Image Classification Based on Sparse Modeling of Spectral Blocks. CoRR abs/2005.08191 (2020)
2010 – 2019
- 2019
- [j29]Siavash Eftekharifar, Tohid Yousefi Rezaii, Soosan Beheshti, Sabalan Daneshvar:
Block sparse multi-lead ECG compression exploiting between-lead collaboration. IET Signal Process. 13(1): 46-55 (2019) - [j28]Erfan Naghsh, Mohamad Farzan Sabahi, Soosan Beheshti:
Joint Preprocessing of Multiple Datasets to Enhance Source Separation. IEEE Signal Process. Lett. 26(12): 1917-1921 (2019) - [c39]Younes Sadat-Nejad, Soosan Beheshti:
Efficient Blinking Component Estimation in Subspace-Based EEG and MEG Analysis. ACSSC 2019: 2028-2032 - [c38]Younes Sadat-Nejad, Soosan Beheshti:
Automated EEG Source Error Thresholding (AESET) in L2-Regularization Inverse Problems. CWIT 2019: 1-5 - [c37]Mahdi Shamsi, Faizan Rahman, Soosan Beheshti:
Correct Number of Clusters (CNC) Description Length in Arbitrary Shape Clustering. CWIT 2019: 1-4 - [c36]Younes Sadat-Nejad, Soosan Beheshti:
Higher Resolution sLORETA (HR-sLORETA) in EEG Source Imaging. EMBC 2019: 1690-1693 - 2018
- [j27]Tohid Yousefi Rezaii, Soosan Beheshti, Mahdi Shamsi, Siavash Eftekharifar:
ECG signal compression and denoising via optimum sparsity order selection in compressed sensing framework. Biomed. Signal Process. Control. 41: 161-171 (2018) - [j26]Saba Sedghizadeh, Soosan Beheshti:
Particle swarm optimization based fuzzy gain scheduled subspace predictive control. Eng. Appl. Artif. Intell. 67: 331-344 (2018) - [j25]Saba Sedghizadeh, Soosan Beheshti:
Data-driven subspace predictive control: Stability and horizon tuning. J. Frankl. Inst. 355(15): 7509-7547 (2018) - [j24]Soosan Beheshti, Saba Sedghizadeh:
Number of Source Signal Estimation by the Mean Squared Eigenvalue Error. IEEE Trans. Signal Process. 66(21): 5694-5704 (2018) - [c35]Faizan Rahman, Soosan Beheshti:
Kernel K-Mace Clustering. ACSSC 2018: 2002-2006 - [c34]Yashar Naderahmadian, Soosan Beheshti:
Generalized Adaptive Weighted Recursive Least Squares Dictionary Learning for Retinal Vessel Inpainting. SSP 2018: 40-44 - 2016
- [j23]Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan:
CANDECOMP/PARAFAC model order selection based on Reconstruction Error in the presence of Kronecker structured colored noise. Digit. Signal Process. 48: 12-26 (2016) - [j22]Yashar Naderahmadian, Mohammad Ali Tinati, Soosan Beheshti:
Generalized adaptive weighted recursive least squares dictionary learning. Signal Process. 118: 89-96 (2016) - [j21]SayedMasoud Hashemi, Soosan Beheshti, Richard S. C. Cobbold, Narinder S. Paul:
Subband-dependent compressed sensing in local CT reconstruction. Signal Image Video Process. 10(6): 1009-1015 (2016) - [j20]Mahdi Shahbaba, Soosan Beheshti:
Signature test as statistical testing in clustering. Signal Image Video Process. 10(7): 1343-1351 (2016) - [j19]Yashar Naderahmadian, Soosan Beheshti, Mohammad Ali Tinati:
Correlation Based Online Dictionary Learning Algorithm. IEEE Trans. Signal Process. 64(3): 592-602 (2016) - [c33]Saba Sedghizadeh, Soosan Beheshti:
Fuzzy Gain Scheduling of Subspace Predictive Controller. ACC 2016: 2693-2698 - [c32]Soosan Beheshti, Assad Sahebalam:
Reconstruction-error distortion in LTI system modeling. CCECE 2016: 1-4 - [c31]Assad Sahebalam, Soosan Beheshti, Wael Khreich, Edward W. Nidoy:
A novel approach in household electricity consumption forecasting. CCECE 2016: 1-4 - [c30]Saeed Pouryazdian, Andrew Chang, Dan J. Bosnyak, Laurel J. Trainor, Soosan Beheshti, Sridhar Krishnan:
Multi-domain feature selection in auditory MisMatch Negativity via PARAFAC-based template matching approach. EMBC 2016: 1603-1607 - 2015
- [j18]M. Rasooli, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Nima Zamiri, Andrew Ramadeen, X. Hu, Paul Dorian, Kumaraswamy Nanthakumar, Sridhar Krishnan, Soosan Beheshti, Karthikeyan Umapathy:
Analysis of electrocardiogram pre-shock waveforms during ventricular fibrillation. Biomed. Signal Process. Control. 21: 26-33 (2015) - [j17]SayedMasoud Hashemi, Soosan Beheshti, Patrick R. Gill, Narinder S. Paul, Richard S. C. Cobbold:
Accelerated Compressed Sensing Based CT Image Reconstruction. Comput. Math. Methods Medicine 2015: 161797:1-161797:16 (2015) - [j16]SayedMasoud Hashemi, Narinder S. Paul, Soosan Beheshti, Richard S. C. Cobbold:
Adaptively Tuned Iterative Low Dose CT Image Denoising. Comput. Math. Methods Medicine 2015: 638568:1-638568:12 (2015) - [j15]SayedMasoud Hashemi, Soosan Beheshti, Richard S. C. Cobbold, Narinder S. Paul:
Adaptive updating of regularization parameters. Signal Process. 113: 228-233 (2015) - [j14]Mina Sharifymoghaddam, Soosan Beheshti, Pegah Elahi, Masoud Hashemi:
Similarity Validation Based Nonlocal Means Image Denoising. IEEE Signal Process. Lett. 22(12): 2185-2188 (2015) - [c29]Assad Sahebalam, Soosan Beheshti:
Competitive clustering of wireless sensor networks with ultra-wideband multiple-access relay channel. CCECE 2015: 893-897 - [c28]Yashar Naderahmadian, Soosan Beheshti:
Robustness of wavelet domain watermarking against scaling attack. CCECE 2015: 1218-1222 - [c27]Yashar Naderahmadian, Soosan Beheshti:
A realistic attack on SVD based watermarking scheme. CCECE 2015: 1238-1242 - [c26]Assad Sahebalam, Soosan Beheshti:
Gaussian multiple-access relay channels with non-causal side information at the transmitters. CWIT 2015: 190-194 - [c25]Saeed Pouryazdian, Soosan Beheshti, Sridhar Krishnan:
Localization of brain activities using multiway analysis of EEG tensor via EMD and reassigned TF representation. EMBC 2015: 113-116 - [c24]Richard M. G. Tello, Saeed Pouryazdian, André Ferreira, Soosan Beheshti, Sridhar Krishnan, Teodiano F. Bastos:
A new approach for SSVEP detection using PARAFAC and canonical correlation analysis. EMBC 2015: 6174-6177 - 2014
- [j13]Mahdi Shahbaba, Soosan Beheshti:
MACE-means clustering. Signal Process. 105: 216-225 (2014) - [j12]Tohid Yousefi Rezaii, Mohammad Ali Tinati, Soosan Beheshti:
Sparsity aware consistent and high precision variable selection. Signal Image Video Process. 8(8): 1613-1624 (2014) - [j11]Masoud Hashemi, Soosan Beheshti:
Adaptive Bayesian Denoising for General Gaussian Distributed Signals. IEEE Trans. Signal Process. 62(5): 1147-1156 (2014) - [c23]Mahdi Shahbaba, Soosan Beheshti:
Model verification of GMM clustering based on signature testing. CCECE 2014: 1-5 - [c22]SayedMasoud Hashemi, Soosan Beheshti, Richard S. C. Cobbold, Narinder S. Paul:
Non-local total variation based low-dose Computed Tomography denoising. EMBC 2014: 1083-1086 - [c21]Pegah Elahi, Soosan Beheshti, Masoud Hashemi:
BM3D mridenoising equipped with noise invalidation technique. ICASSP 2014: 6612-6616 - [c20]Mahdi Shahbaba, Soosan Beheshti:
Efficient unimodality test in clustering by signature testing. ICASSP 2014: 8282-8286 - [i3]Mahdi Shahbaba, Soosan Beheshti:
Efficient unimodality test in clustering by signature testing. CoRR abs/1401.1895 (2014) - [i2]SayedMasoud Hashemi, Soosan Beheshti, Patrick R. Gill, Narinder S. Paul, Richard S. C. Cobbold:
Efficient Low Dose X-ray CT Reconstruction through Sparsity-Based MAP Modeling. CoRR abs/1402.1801 (2014) - 2013
- [j10]Tohid Yousefi Rezaii, Mohammad Ali Tinati, Soosan Beheshti:
Adaptive efficient sparse estimator achieving oracle properties. IET Signal Process. 7(4): 259-268 (2013) - [c19]M. Rasooli, Farbod Hosseyndoust Foomany, Krishnanand Balasundaram, Stéphane Massé, Nima Zamiri, Andrew Ramadeen, X. Hu, Paul Dorian, Kumaraswamy Nanthakumar, Soosan Beheshti, Karthikeyan Umapathy:
Blind source separation in characterizing ECG pre-shock waveforms during ventricular fibrillation. EMBC 2013: 5833-5836 - [c18]SayedMasoud Hashemi, Soosan Beheshti, Patrick R. Gill, Narinder S. Paul, Richard S. C. Cobbold:
Fast fan/parallel beam CS-based low-dose CT reconstruction. ICASSP 2013: 1099-1103 - [c17]Ghassem Tofighi, Anastasios N. Venetsanopoulos, Kaamran Raahemifar, Soosan Beheshti, Helia Mohammadi:
Hand posture recognition using K-NN and Support Vector Machine classifiers evaluated on our proposed HandReader dataset. DSP 2013: 1-5 - 2012
- [c16]Azam Karami, Soosan Beheshti, Mehran Yazdi:
Hyperspectral image compression using 3D discrete cosine transform and support vector machine learning. ISSPA 2012: 809-812 - [c15]Mahdi Shahbaba, Soosan Beheshti:
Improving X-means clustering with MNDL. ISSPA 2012: 1298-1302 - [c14]Saeed Pouryazdian, Soosan Beheshti, Sridhar Sri Krishnan:
Minimum noiseless description length (MNDL) based regularization parameter selection. ISSPA 2012: 1341-1346 - [c13]Serdar Çakir, Tayfun Aytaç, Alper Yildirim, Soosan Beheshti, Ömer Nezih Gerek, A. Enis Çetin:
Region covariance descriptors calculated over the salient points for target tracking. SIU 2012: 1-4 - 2011
- [j9]Soosan Beheshti, Masoud Hashemi, Ervin Sejdic, Tom Chau:
Mean Square Error Estimation in Thresholding. IEEE Signal Process. Lett. 18(2): 103-106 (2011) - [j8]Masoud Farzam, Soosan Beheshti:
Simultaneous Denoising and Intrinsic Order Selection in Hyperspectral Imaging. IEEE Trans. Geosci. Remote. Sens. 49(9): 3423-3436 (2011) - [j7]Soosan Beheshti, Maryam Ravan, James P. Reilly, Laurel J. Trainor:
Mean-Square Error in Periodogram Approaches With Adaptive Windowing. IEEE Trans. Signal Process. 59(3): 923-935 (2011) - [c12]Maryam Ravan, Soosan Beheshti:
Speech recognition from adaptive windowing PSD estimation. CCECE 2011: 524-527 - [c11]Masoud Farzam, Soosan Beheshti:
Information theoretic assessment of correlated noise in hyperspectral signal unmixing. CCECE 2011: 938-942 - [c10]Masoud Farzam, Soosan Beheshti:
Robust hyperspectral signal unmixing in the presence of correlated noise. ICASSP 2011: 1361-1364 - 2010
- [j6]Soosan Beheshti, Azadeh Fakhrzadeh, Sridhar Krishnan:
Noiseless Codelength in Wavelet Denoising. EURASIP J. Adv. Signal Process. 2010 (2010) - [j5]Masoud Hashemi, Soosan Beheshti:
Adaptive Noise Variance Estimation in BayesShrink. IEEE Signal Process. Lett. 17(1): 12-15 (2010) - [j4]Soosan Beheshti, Munther A. Dahleh:
Noisy data and impulse response estimation. IEEE Trans. Signal Process. 58(2): 510-521 (2010) - [j3]Soosan Beheshti, Masoud Hashemi, Xiao-Ping (Steven) Zhang, Nima Nikvand:
Noise Invalidation Denoising. IEEE Trans. Signal Process. 58(12): 6007-6016 (2010) - [i1]Soosan Beheshti, Masoud Hashemi, Xiao-Ping (Steven) Zhang, Nima Nikvand:
Noise Invalidation Denoising. CoRR abs/1006.4801 (2010)
2000 – 2009
- 2009
- [c9]Masoud Farzam, Soosan Beheshti:
A noiseless code length method (NCLM) to estimate dimensionality of hyperspectral data. ICASSP 2009: 1273-1276 - 2008
- [c8]Soosan Beheshti:
Data Compression and Linear Modeling. DCC 2008: 507 - [c7]Soosan Beheshti:
Kullback-Leibler distance in linear parametric modeling. ISIT 2008: 1671-1675 - 2007
- [c6]Soosan Beheshti, Sudeshna Pal:
Optimum Segmentation and Windowing in Nonparametric Power Spectral Density Estimation. DSP 2007: 379-382 - 2006
- [c5]Soosan Beheshti:
A New Approach to Order Selection and Parametric Spectrum Estimation. ICASSP (3) 2006: 520-523 - 2005
- [j2]Soosan Beheshti, Munther A. Dahleh:
A new information-theoretic approach to signal denoising and best basis selection. IEEE Trans. Signal Process. 53(10): 3613-3624 (2005) - 2003
- [c4]Soosan Beheshti, Munther A. Dahleh:
A new minimum description length. ACC 2003: 1602-1607 - [c3]Soosan Beheshti, Munther A. Dahleh:
LTI systems, additive noise, and order estimation. CDC 2003: 6491-6496 - [c2]Soosan Beheshti, Munther A. Dahleh:
Noise variance in signal denoising. ICASSP (6) 2003: 185-188 - 2002
- [b1]Soosan Beheshti:
Minimum description complexity. Massachusetts Institute of Technology, Cambridge, MA, USA, 2002 - 2000
- [c1]Soosan Beheshti, Munther A. Dahleh:
On model quality evaluation of stable LTI systems. CDC 2000: 2716-2721
1990 – 1999
- 1998
- [j1]Soosan Beheshti, Gregory W. Wornell, Steven H. Isabelle:
Joint intersymbol and multiple-access interference suppression algorithms for CDMA systems. Eur. Trans. Telecommun. 9(5): 403-418 (1998)
Coauthor Index
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