PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor PROF. Ran El-Yaniv
Advisor's Email
Advisor's Home-Site
No of theses 36
Department Computer Science
Department Web Site
Student's Name Graduation Year Degree Abstracts Research Name
Uziel Guy 2020 PhD Abstracts Leveraging Mechine Learning Algorithms in Online Portfolio Selection
Geifman Yonatan 2019 PhD Abstracts Uncertainty Estimation and its Applications in Deep Neural Networks
Wiener Yair 2013 PhD Abstracts Theoretical Foundations of Selective Prediction
Begleiter Ron 2013 PhD Abstracts Theory and Practice of Active Learning
Pechyony Dmitry 2009 PhD Abstracts Theory and Practice of Transductive Learning
Gerzon Leonid 2006 MSc Abstracts Effective Transductive Learning via Objective Model Selection
Dabbah Mohammed 2022 MSc Abstracts Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners
Bagrov Natan 2021 MSc Abstracts Ranking and Trading Execution of Mean-Reverting Portfolios
Haviv Hakimi Shunit 2021 MSc Abstracts Deep Neural Models for Jazz Improvisations
Ben Assayag Shai 2021 MSc Abstracts Train on Small ,Play the Large: Scaling Up Board Games with AlphaZero and GNN
Margulis Igor 2021 MSc Abstracts On Anomaly Detection in Tabular Data
Feldman Yair 2020 MSc Abstracts Multi-Hop Paragraph Retrieval for Open-Domain Question Answering
Abutbul Amram 2020 MSc Abstracts Deep Neural Network Architecture for Tabular Data
Bhonker Nadav 2020 MSc Abstracts Neural Models for Personalized Jazz Improvisations
Cohen Amir 2019 MSc Abstracts Bayesian Algorithms for Vision Acuity Exams
Golan Izhak 2019 MSc Abstracts Deep Anomaly Detection using Geometric Transformations
Gross Amit 2018 MSc Abstracts Usages of Selective Regression
Gelbhart Roei 2018 MSc Abstracts The Relationship Between Agnostic Selective Classification Active Learning and the Disagreement Coefficient
Segev Noam 2016 MSc Abstracts Transfer Learning using Decision Forests
Pidan Dmitry 2013 MSc Abstracts Selective Prediction with Hidden Markov Models
Faynburd Alexandra 2012 MSc Abstracts Autoregressive Short-Term Prediction of Turning Points Using Support Vector Regression
Yanay David 2011 MSc Abstracts Supervised Learning of Semantic Relatedness
Nisenson Mordechai 2010 MSc Abstracts On the Foundations of Adversarial Single-Class Classification
Sharon Itai 2006 MSc Abstracts Similarity Detection for Low Complexity and Remotely Related Proteins
Begleiter Ron 2005 MSc Abstracts Can Theory Meet Practice in Sequence Prediction?
Luz Kobi 2004 MSc Abstracts Online Choice of Active Learning Algorithms
Souroujon Oren 2004 MSc Abstracts Iterative Double Clustering: An Information-Theoretic Algorithm for Clustering Textual Data
Derbeko Philip 2004 MSc Abstracts Explicit Learning Curves for Transduction and Application to Clustering and Compression Algorithms
Bekkerman Ron 2003 MSc Abstracts Distributional Clustering of Words for Text Categorization
Nevo Ziv 2002 MSc On Online Learning of Decision Lists
Yaroshinsky Ran 2002 MSc Smooth Online Learning of Expert Advice
Shakhnarovich Gregory 2001 MSc Statistical Data Cloning for Machine Learning
Sadeh Kenigsfield Gal 2021 MSc Abstracts Leveraging Auxiliary Text for Deep Recognition of Unseen Visual Relationships
Rozenberg Shai 2020 MSc Abstracts Improved Detection of Adversarial Attacks via Penetration Distortion Maximization
Hubara Itay 2017 MSc Abstracts Compressing Neural Networks Using Binary Representation
Hilleli Bar 2017 MSc Abstracts Autonomous Steering without a Simulator using Deep Supervised and Reinforcement Learning