1 

Elias Avithal 
2014 
MSc 
Abstracts

Statistical Analysis of Particle Transport and Interactions in Metastatic Cancer 
2 

Salman Tamer 
2012 
PhD 
Abstracts

Quantum Neural Computation and Associative Memory 
3 

Salman Tamer 
2005 
MSc 
Abstracts

Learning Polynomial Generating Rules Using Support Vector Machines 
4 

Galperin Vadim 
2005 
MSc 
Abstracts

InLine Regression by Support Vectors with Application to Head Motion Anticipation from EMG Signals 
5 

Luz Kobi 
2004 
MSc 
Abstracts

Online Choice of Active Learning Algorithms 
6 

Polak Simon 
2004 
MSc 
Abstracts

Head Motion Anticipation for VirtualEnvironment Applications Using Kinematics and EMG Energy 
7 

Zlochin Mark 
2003 
PhD 
Abstracts

Adaptive Monte Carlo Methods for Bayesian Inference 
8 

Ron Lior 
2002 
MSc 

A Visual Feedback System 
9 

Parham Robert 
2002 
MSc 

Solving the Dynamic Conflict between N Moving Objects Using Neural Networks 
10 

Shakhnarovich Gregory 
2001 
MSc 

Statistical Data Cloning for Machine Learning 
11 

Simionovitch Yahalomit 
2001 
MSc 

Augmented Reality for Aiding the NeuroMotorically Impaired 
12 

Roth Ze'ev 
1995 
PhD 

A Statistical Approach for the Design and Analysis of Artificial Neural Networks 
13 

Wasserkrug Segev 
1995 
MSc 

Neural Network Design for Classification 
14 

Zur Dror 
1995 
MSc 

Deinterleaving of Radar Signals Using Self Organizing Neural Network 
15 

BenTal Gad 
1994 
MSc 

Obstacle Detection from Texcure by Monocular Vision 
16 

Kaufman Kalman 
1993 
MSc 

Classification Prblems Solution Using Neurol Networks 
17 

Peterfreund Natan 
1993 
PhD 

Domains of Attraction and Convergence Rates of Nonlinear Dynamical Systems and Neural Networks 
18 

Salee' Dror 
1992 
MSc 

Memory Capacity of Neural Networks Storing Sparse Vectors 
19 

Ringach Dario 
1991 
MSc 

A Diffusion Mechanism for Obstacle Detection from Size 
20 

Even Adir 
1991 
MSc 

Investigation of the Mapping and Classification Capability 