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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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Enhancing Real-World Adversarial Patches with 3D Modeling Techniques


Feb 10, 2021
Yael Mathov, Lior Rokach, Yuval Elovici


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Automatic selection of clustering algorithms using supervised graph embedding


Nov 16, 2020
Noy Cohen-Shapira, Lior Rokach


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Approximating Aggregated SQL Queries With LSTM Networks


Nov 02, 2020
Nir Regev, Lior Rokach, Asaf Shabtai

* 12 pages, 5 figures, ICDE2021 

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Lessons Learned from Applying off-the-shelf BERT: There is no Silver Bullet


Sep 18, 2020
Victor Makarenkov, Lior Rokach


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Lessons Learned from Applying off-the-shelf BERT: There is no SilverBullet


Sep 15, 2020
Victor Makarenkov, Lior Rokach


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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

* 17 pages, 5 figures 

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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

* 16 Pages, 7 Figures 

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Adversarial Learning in the Cyber Security Domain


Jul 05, 2020
Ihai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach


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PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction


Jun 09, 2020
Eli Simhayev, Gilad Katz, Lior Rokach

* 16 pages, 5 figures 

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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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PrivGen: Preserving Privacy of Sequences Through Data Generation


Feb 23, 2020
Sigal Shaked, 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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RankML: a Meta Learning-Based Approach for Pre-Ranking Machine Learning Pipelines


Nov 20, 2019
Doron Laadan, Roman Vainshtein, Yarden Curiel, Gilad Katz, Lior Rokach


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DeepLine: AutoML Tool for Pipelines Generation using Deep Reinforcement Learning and Hierarchical Actions Filtering


Oct 31, 2019
Yuval Heffetz, Roman Vainstein, Gilad Katz, Lior Rokach


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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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Assessing the Quality of Scientific Papers


Aug 12, 2019
Roman Vainshtein, Gilad Katz, Bracha Shapira, Lior Rokach


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New Item Consumption Prediction Using Deep Learning


May 12, 2019
Michael Shekasta, Gilad Katz, Asnat Greenstein-Messica, Lior Rokach, Bracha Shapira


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Semantic Comparison of State-of-the-Art Deep Learning Methods for Image Multi-Label Classification


Apr 05, 2019
Adam Kubany, Shimon Ben Ishay, Ruben-sacha Ohayon, Armin Shmilovici, Lior Rokach, Tomer Doitshman


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Online Budgeted Learning for Classifier Induction


Mar 13, 2019
Eran Fainman, Bracha Shapira, Lior Rokach, Yisroel Mirsky


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Personal Dynamic Cost-Aware Sensing for Latent Context Detection


Mar 13, 2019
Saar Tal, Bracha Shapira, Lior Rokach


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Detecting drug-drug interactions using artificial neural networks and classic graph similarity measures


Mar 11, 2019
Guy Shtar, Lior Rokach, Bracha Shapira


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Explaining Anomalies Detected by Autoencoders Using SHAP


Mar 06, 2019
Liat Antwarg, Bracha Shapira, Lior Rokach


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Implicit Dimension Identification in User-Generated Text with LSTM Networks


Feb 01, 2019
Victor Makarenkov, Ido Guy, Niva Hazon, Tamar Meisels, Bracha Shapira, Lior Rokach


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Choosing the Right Word: Using Bidirectional LSTM Tagger for Writing Support Systems


Jan 08, 2019
Victor Makarenkov, Lior Rokach, Bracha Shapira


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