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Bracha Shapira

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AMFPMC -- An improved method of detecting multiple types of drug-drug interactions using only known drug-drug interactions

Feb 07, 2023
Bar Vered, Guy Shtar, Lior Rokach, Bracha Shapira

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Transfer learning for time series classification using synthetic data generation

Jul 16, 2022
Yarden Rotem, Nathaniel Shimoni, Lior Rokach, Bracha Shapira

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Boosting Anomaly Detection Using Unsupervised Diverse Test-Time Augmentation

Oct 29, 2021
Seffi Cohen, Niv Goldshlager, Lior Rokach, Bracha Shapira

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Evolving Context-Aware Recommender Systems With Users in Mind

Jul 30, 2020
Amit Livne, Eliad Shem Tov, Adir Solomon, Achiya Elyasaf, Bracha Shapira, Lior Rokach

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A framework for optimizing COVID-19 testing policy using a Multi Armed Bandit approach

Jul 28, 2020
Hagit Grushka-Cohen, Raphael Cohen, Bracha Shapira, Jacob Moran-Gilad, Lior Rokach

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Iterative Boosting Deep Neural Networks for Predicting Click-Through Rate

Jul 26, 2020
Amit Livne, Roy Dor, Eyal Mazuz, Tamar Didi, Bracha Shapira, Lior Rokach

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Automatic Machine Learning Derived from Scholarly Big Data

Mar 06, 2020
Asnat Greenstein-Messica, Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach

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Sequence Preserving Network Traffic Generation

Feb 23, 2020
Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira

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Diversifying Database Activity Monitoring with Bandits

Oct 23, 2019
Hagit Grushka-Cohen, Ofer Biller, Oded Sofer, Lior Rokach, Bracha Shapira

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Deep Context-Aware Recommender System Utilizing Sequential Latent Context

Sep 09, 2019
Amit Livne, Moshe Unger, Bracha Shapira, Lior Rokach

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