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18
|
Mor Chako
Thesis:
Predicting Fibromyalgia from Gut Microbiome using Machine Learning
Date:
February 12, 2024
Advisors: Adi Shraibman and Dorit Shweiki
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17
|
Asaf Rachmani
Thesis:
Detecting Phishing Attacks by Machine Learning
Date:
December 2023
Advisor: Adi Shraibman
|
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16
|
Ofer Spivak
Thesis:
Improved Handwritten Text Recognition (HTR) Using Classic Data-Augmentation and Domain-Adaptation Methodologies
Date:
July 2023
Advisor: Sarel Cohen
|
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15
|
Rony Yahel
Thesis:
Spectrally aware Demosaicing
Date:
May 15, 2023
Advisor: Raid Saabni
|
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14
|
Noam Malter
Thesis:
Insertions for feasibility of clustered trees on grid intersection graphs
Date:
May 29, 2022
Advisors: Nili Beck and Michal Stern
|
|
13
|
Hila Ohana
Thesis:
Partial matching on grids using Manhattan distances
Date:
May 4, 2022
Publication:
Operations Research Letters
Advisors: Nili Beck and Michal Stern
|
|
12
|
Or Itzhak
Thesis:
XAI - Explainable Artificial Intelligence Image Classification Explainability Research
Date:
April 28, 2022
Advisor: Moti Schnieder
|
|
11
|
Inon Attias
Thesis:
Local Orthogonality Dimension
Date:
October 2021
Advisor: Ishay Haviv
|
|
10
|
Sagi Behor
Thesis:
Automatic Text Summarization of Web Pages Using Commonly Copied Sentences
Date:
September 2021
Advisor: Ilan Kirsh
|
|
9
|
Golan Regev
Thesis:
RepoRank - A Novel Index for Open Source Evaluation
Date:
December 30, 2020
Advisor: Uri Globus
|
|
8
|
Shiri Morshtein
Thesis:
Methods of verifying complexity bounds of algorithms using Dafny
Date:
December 2, 2020
Publication:
F-IDE 2021
Advisors: Ran Ettinger and Shmuel Tyszberowicz
|
|
7
|
Adi Marinov
Thesis:
An efficient syntax preserving slide based algorithm for program slicing
Date:
December 1, 2020
Advisors: Ran Ettinger and Shmuel Tyszberowicz
|
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6
|
Hadas Sayag
Thesis:
Nodes Insertion and Deletion for a Feasible Clustered Travelling Salesman Problem
Date:
October 13, 2020
Advisors: Nili Beck and Michal Stern
|
|
5
|
Avi Levin
Thesis:
Feasibility of Clustered Spanning Trees by Trees for Domino Intersection Graphs
Date:
August 9, 2020
Advisors: Nili Beck and Michal Stern
|
|
4
|
Amit Leibovitz
Thesis:
The Dimension Effect on Adversarial Learning Phenomena
Date:
June 22, 2020
Advisor: Adi Shraibman
|
|
3
|
David Naor
Thesis:
Bat Echo Classification via Deep Learning
Date:
March 17, 2020
Advisor: Raid Saabni
|
|
2
|
Chen Tzvi
Thesis:
Kernel PCA Ensembles of Classifiers
Date:
February 9, 2019
Advisor: Alon Schclar
|
|
1
|
Maxim Leibovich
Thesis:
Secure Search on Encrypted Data: Faster & Post-Processing Free
Date:
August 3, 2018
Publication:
Proceedings on Privacy Enhancing Technologies
Advisor: Adi Adavia
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