Yehezkel S. Resheff

34 papers B 1C 7Misc 1Journal 16Unranked 9

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Construction of a Social-Media Based Clinical Database - Roadmap, Challenges, and Feasibility for ADHD Recognition. IEEE Access Anton Gelashvili, Yehezkel S. Resheff, Gaddi Blumrosen
2024	J	`jnl`	Neural Fingerprints for Adversarial Attack Detection. CoRR Haim Fisher, Moni Shahar, Yehezkel S. Resheff
2024	—	`conf`	The Temporal Dynamics of Road Traffic Crash Hotspots. ITSC Yehezkel S. Resheff, Mali Sher, Nicole Adler
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`	Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study. CoRR Daniel Ben David, Yehezkel S. Resheff, Talia Tron
2021	C	`conf`	Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. AIES Daniel Ben David, Yehezkel S. Resheff, Talia Tron
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	—	`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`	All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. ICPRAM Yehezkel S. Resheff, Itay Lieder, Tom Hope
2019	—	`conf`	Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. PKDD/ECML Workshops (1) Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador
2019	J	`jnl`	Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. CoRR Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador
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	—	`conf`	ARIMA-based motor anomaly detection in schizophrenia inpatients. BHI Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled
2018	J	`jnl`	Identifying Financial Institutions by Transaction Signatures. CoRR Noa Haas, Yair Horesh, Shimon Shahar, Yehezkel S. Resheff
2018	J	`jnl`	Privacy-Adversarial User Representations in Recommender Systems. CoRR Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
2018	C	`conf`	Topic models for automated motor analysis in schizophrenia patients. BSN Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
2018	C	`conf`	Using Near-Surface Observations for Optimizing the Timing of Overhead Image Acquisition for Applied Mapping of Woody Vegetation Species. IGARSS Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin
2017	Misc	`conf`	A wavelet-based approach to monitoring Parkinson's disease symptoms. ICASSP Avishai Wagner, Naama Fixler, Yehezkel S. Resheff
2017	C	`conf`	Algorithms for Telemetry Data Mining using Discrete Attributes. ICPRAM Roy B. Ofer, Adi Eldar, Adi Shalev, Yehezkel S. Resheff
2017	—	`conf`	Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. LIDTA@PKDD/ECML Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall
2017	J	`jnl`	Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. CoRR Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall
2017	J	`jnl`	Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction. CoRR Yehezkel S. Resheff, Moni Shahar
2017	—	`conf`	Optimal Linear Imputation with a Convergence Guarantee. ICPRAM (Revised Selected Papers) Yehezkel S. Resheff, Daphna Weinshall
2017	C	`conf`	Optimized Linear Imputation. ICPRAM Yehezkel S. Resheff, Daphna Weinshall
2017	J	`jnl`	Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection. Remote. Sens. Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin
2017	—	`conf`	Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. MobiHealth Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall
2016	J	`jnl`	Online Trajectory Segmentation and Summary With Applications to Visualization and Retrieval. CoRR Yehezkel S. Resheff
2016	—	`conf`	Online trajectory segmentation and summary with applications to visualization and retrieval. IEEE BigData Yehezkel S. Resheff
2016	J	`jnl`	Topic modeling of behavioral modes using sensor data. Int. J. Data Sci. Anal. Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
2015	B	`conf`	Matrix factorization approach to behavioral mode analysis from acceleration data. DSAA Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
2015	J	`jnl`	Topic Modeling of Behavioral Modes Using Sensor Data. CoRR Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall