28 citations · 51 across the 9 of their papers we have counts for
10 papers
Separability and Scatteredness (S&S) Ratio-Based Efficient SVM Regularization Parameter, Kernel, and Kernel Parameter Selection
Mahdi Shamsi, Soosan Beheshti
Support Vector Machine (SVM) is a robust machine learning algorithm with broad applications in classification, regression, and outlier detection. SVM requires tuning the regulariza…
Learnability, Sample Complexity, and Hypothesis Class Complexity for Regression Models
Soosan Beheshti, Mahdi Shamsi
The goal of a learning algorithm is to receive a training data set as input and provide a hypothesis that can generalize to all possible data points from a domain set. The hypothes…
Relative Entropy (RE) Based LTI System Modeling Equipped with time delay Estimation and Online Modeling
Mahdi Shamsi, Soosan Beheshti
This paper proposes an impulse response modeling in presence of input and noisy output of a linear time-invariant (LTI) system. The approach utilizes Relative Entropy (RE) to choos…
K-MACE and Kernel K-MACE Clustering
Soosan Beheshti, Edward Nidoy, Faizan Rahman
Determining the correct number of clusters (CNC) is an important task in data clustering and has a critical effect on finalizing the partitioning results. K-means is one of the pop…
A systematic review of EEG source localization techniques and their applications on diagnosis of brain abnormalities
Shiva Asadzadeh, Tohid Yousefi Rezaii, Soosan Beheshti +2
In recent years, multiple noninvasive imaging modalities have been used to develop a better understanding of the human brain functionality, including positron emission tomography,…
Block Sparse Multi-lead ECG Compression Exploiting between-lead Collaboration
Siavash Eftekharifar, Tohid Yousefi Rezaii, Soosan Beheshti +1
Multilead ECG compression (MlEC) has attracted tremendous attention in long-term monitoring of the patients heart behavior. This paper proposes a method denoted by block sparse MlE…