Yehezkel S. Resheff

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 29

Top Topics

Machine Learning

Matrix Factorization

Transaction Data

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Yehezkel S. Resheff, Yair Horesh, Moni Shahar
Proving unfairness of decision making systems without model access. Expert Syst. Appl. 213 (Part) (2023)
Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
Privacy-Preserving Decision Trees Training and Prediction. ACM Trans. Priv. Secur. 25 (3) (2022)
Daniel Ben David, Yehezkel S. Resheff, Talia Tron
Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. AIES (2021)
Daniel Ben David, Yehezkel S. Resheff, Talia Tron
Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study. CoRR (2021)
Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
Privacy-Preserving Decision Trees Training and Prediction. IACR Cryptol. ePrint Arch. 2021 (2021)
Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
Privacy-Preserving Decision Trees Training and Prediction. ECML/PKDD (1) (2020)
Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald
Privacy-Preserving Decision Tree Training and Prediction against Malicious Server. IACR Cryptol. ePrint Arch. 2019 (2019)
Yehezkel S. Resheff, Itay Lieder, Tom Hope
All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. ICPRAM (2019)
Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. CoRR (2019)
Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning. PKDD/ECML Workshops (1) (2019)
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM (2019)
Yehezkel S. Resheff, Moni Shahar
A Statistical Approach to Inferring Business Locations Based on Purchase Behavior. IEEE BigData (2018)
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled
ARIMA-based motor anomaly detection in schizophrenia inpatients. BHI (2018)
Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin
Using Near-Surface Observations for Optimizing the Timing of Overhead Image Acquisition for Applied Mapping of Woody Vegetation Species. IGARSS (2018)
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall
Topic models for automated motor analysis in schizophrenia patients. BSN (2018)
Noa Haas, Yair Horesh, Shimon Shahar, Yehezkel S. Resheff
Identifying Financial Institutions by Transaction Signatures. CoRR (2018)
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom
Privacy-Adversarial User Representations in Recommender Systems. CoRR (2018)
Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall
Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. MobiHealth (2017)
Yehezkel S. Resheff, Moni Shahar
Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction. CoRR (2017)
Yehezkel S. Resheff, Daphna Weinshall
Optimal Linear Imputation with a Convergence Guarantee. ICPRAM (Revised Selected Papers) (2017)
Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin
Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection. Remote. Sens. 9 (11) (2017)
Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall
Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. LIDTA@PKDD/ECML (2017)
Roy B. Ofer, Adi Eldar, Adi Shalev, Yehezkel S. Resheff
Algorithms for Telemetry Data Mining using Discrete Attributes. ICPRAM (2017)
Avishai Wagner, Naama Fixler, Yehezkel S. Resheff
A wavelet-based approach to monitoring Parkinson's disease symptoms. ICASSP (2017)
Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss. CoRR (2017)
Yehezkel S. Resheff, Daphna Weinshall
Optimized Linear Imputation. ICPRAM (2017)
Yehezkel S. Resheff
Online Trajectory Segmentation and Summary With Applications to Visualization and Retrieval. CoRR (2016)
Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
Topic modeling of behavioral modes using sensor data. Int. J. Data Sci. Anal. 1 (1) (2016)
Yehezkel S. Resheff
Online trajectory segmentation and summary with applications to visualization and retrieval. IEEE BigData (2016)
Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
Matrix factorization approach to behavioral mode analysis from acceleration data. DSAA (2015)
Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall
Topic Modeling of Behavioral Modes Using Sensor Data. CoRR (2015)