Moni Shahar - RankMe

18 papers A* 1C 2Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Spatially Aware Deep Learning for Microclimate Prediction from High-Resolution Geospatial Imagery. CoRR Idan Sulami, Alon Itzkovitch, Michael R. Kearney, Moni Shahar, Ofir Levy
2025	J	`jnl`	Medical Data Pecking: A Context-Aware Approach for Automated Quality Evaluation of Structured Medical Data. CoRR Irena Girshovitz, Atai Ambus, Moni Shahar, Ran Gilad-Bachrach
2024	J	`jnl`	Neural Fingerprints for Adversarial Attack Detection. CoRR Haim Fisher, Moni Shahar, Yehezkel S. Resheff
2023	J	`jnl`	Proving unfairness of decision making systems without model access. Expert Syst. Appl. Yehezkel S. Resheff, Yair Horesh, Moni Shahar
2022	J	`jnl`	Privacy-Preserving Decision Trees Training and Prediction. ACM Trans. Priv. Secur. Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
2021	J	`jnl`	Optimization of resource-constrained policies for COVID-19 testing and quarantining. J. Commun. Networks Konstantin Berestizshevsky, Koffi-Emmanuel Sadzi, Guy Even, Moni Shahar
2021	J	`jnl`	Privacy-Preserving Decision Trees Training and Prediction. IACR Cryptol. ePrint Arch. Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
2020	C	`conf`	Learning Question Similarity in CQA from References and Query-logs. ICPRAM Alex Zhicharevich, Moni Shahar, Oren Sar Shalom
2020	—	`conf`	Privacy-Preserving Decision Trees Training and Prediction. ECML/PKDD (1) Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
2019	C	`conf`	Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
2019	J	`jnl`	Privacy-Preserving Decision Tree Training and Prediction against Malicious Server. IACR Cryptol. ePrint Arch. Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
2018	—	`conf`	A Statistical Approach to Inferring Business Locations Based on Purchase Behavior. IEEE BigData Yehezkel S. Resheff, Moni Shahar
2018	A*	`conf`	A Two-Step Disentanglement Method. CVPR Naama Hadad, Lior Wolf, Moni Shahar
2018	J	`jnl`	Privacy-Adversarial User Representations in Recommender Systems. CoRR Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
2017	J	`jnl`	Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction. CoRR Yehezkel S. Resheff, Moni Shahar
2017	J	`jnl`	Two-Step Disentanglement for Financial Data. CoRR Naama Hadad, Lior Wolf, Moni Shahar
2011	J	`jnl`	Isotonic Recursive Partitioning CoRR Ronny Luss, Saharon Rosset, Moni Shahar
2010	—	`conf`	Decomposing Isotonic Regression for Efficiently Solving Large Problems. NIPS Ronny Luss, Saharon Rosset, Moni Shahar