2019 MSC Theses
- MSC-2019-01
Avner Elizarov (Erez Petrank):
LOFT: Lock-Free Transactional Data Structures
- MSC-2019-02
Marina Minkin (Mark Silberstein):
Improving Performance and Security of Intel SGX
- MSC-2019-03
Assaf Rosenbaum (Eli Biham and Sara Bitan):
Trusted Execution Environments
- MSC-2019-04
Alex Kreimer (Ehud Rivlin, Ilan Shimshoni):
Algorithms for Visual Odometry
- MSC-2019-05
Shahar Harel (Kira Radinsky and Shaul Markovitch):
Prototype-Based Chemical Design using Diversity-Driven Generative Models
- MSC-2019-06
Nurit Devir (Orna Grumberg and Shaul Markovitch):
Applying Machine Learning for Identifying Attacks at Run-Time
- MSC-2019-07
Itay Evron (Daniel Soudry):
Efficient Loss-Based Decoding on Graphs for Extreme Classification
- MSC-2019-08
Niv Derech (Ayellet Tal, Ilan Shimshoni):
Solving Archaeological Puzzles
- MSC-2019-09
Izhak Golan (Ran El-Yaniv):
Deep Anomaly Detection Using Geometric Transformations
- MSC-2019-10
Eylon Shoshan (Kira Radinsky):
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text?
- MSC-2019-11
Yotam Eshel (Shaul Markovich):
An Attention-RNN based approach for Named Entity Disambiguation with Noisy Texts
- MSC-2019-12
Yochai Zur (Alexander M. Bronstein):
Differentiable Neural Architecture Search with an Arithmetic Complexity Constraint
- MSC-2019-13
David Cohen (Mirela Ben-Chen):
Generalized Volumetric Foliation From Inverted Viscous Flow
- MSC-2019-14
Yehonatan Buchnik (Roy Friedman):
TOY: a Total ordering Optimistic sYstem for Permissioned Blockchains
- MSC-2019-15
Tanya Brokhman (Mark Silberstein):
An OS page cache for hetrogeneous systems
- MSC-2019-16
Idan Hasson (Alexander Bronstein):
Acquisition and Prediction of Gestures' Surface EMG Data Using Sequential Deep Learning Methods
- MSC-2019-17
Zuphit Fidelman (Roy Friedman):
A Generic Sharding Scheme for Blockchain Protocols
- MSC-2019-18
Dvir Dukhan (Prof. Benny Kimelfeld):
Effective Enumeration of Tree Decompositions for Solver Optimization
- MSC-2019-19
Amir David Nissan Cohen (Ran El-Yaniv, Eytan Blumenthal):
Bayesian Algorithms for Vision Acuity Exams
- MSC-2019-20
Matthias Bonne (Keren Censor-Hillel):
Distributed Detection of Cliques in Dynamic Networks
- MSC-2019-21
Michal Badian (Shaul Markovitch):
Knowledge-Based Learning through Feature Generation
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