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ORCIDYehezkel S. Resheff
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2020 – today
- 2023
[j4]Yehezkel S. Resheff
, Yair Horesh, Moni Shahar:
Proving unfairness of decision making systems without model access. Expert Syst. Appl. 213(Part): 118987 (2023)- 2022
- [j3]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): 24:1-24:30 (2022) - 2021
- [c17]Daniel Ben David, Yehezkel S. Resheff, Talia Tron:
Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. AIES 2021: 390-400 - [i10]Daniel Ben David, Yehezkel S. Resheff, Talia Tron:
Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study. CoRR abs/2101.02555 (2021) - [i9]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: 768 (2021) - 2020
- [c16]Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald:
Privacy-Preserving Decision Trees Training and Prediction. ECML/PKDD (1) 2020: 145-161
2010 – 2019
- 2019
- [c15]Yehezkel S. Resheff, Itay Lieder, Tom Hope:
All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. ICPRAM 2019: 135-144 - [c14]Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. ICPRAM 2019: 476-482 - [c13]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: 590-604 - [i8]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 abs/1908.02641 (2019) - [i7]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: 1282 (2019) - 2018
- [c12]Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled:
ARIMA-based motor anomaly detection in schizophrenia inpatients. BHI 2018: 430-433 - [c11]Yehezkel S. Resheff, Moni Shahar:
A Statistical Approach to Inferring Business Locations Based on Purchase Behavior. IEEE BigData 2018: 2295-2303 - [c10]Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall:
Topic models for automated motor analysis in schizophrenia patients. BSN 2018: 140-143 - [c9]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: 5398-5401 - [i6]Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom:
Privacy-Adversarial User Representations in Recommender Systems. CoRR abs/1807.03521 (2018) - [i5]Noa Haas, Yair Horesh, Shimon Shahar, Yehezkel S. Resheff:
Identifying Financial Institutions by Transaction Signatures. CoRR abs/1808.00151 (2018) - 2017
- [j2]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): 1130 (2017) - [c8]Avishai Wagner, Naama Fixler, Yehezkel S. Resheff:
A wavelet-based approach to monitoring Parkinson's disease symptoms. ICASSP 2017: 5980-5984 - [c7]Yehezkel S. Resheff, Daphna Weinshall:
Optimized Linear Imputation. ICPRAM 2017: 17-25 - [c6]Yehezkel S. Resheff, Daphna Weinshall:
Optimal Linear Imputation with a Convergence Guarantee. ICPRAM (Revised Selected Papers) 2017: 62-79 - [c5]Roy B. Ofer, Adi Eldar, Adi Shalev, Yehezkel S. Resheff:
Algorithms for Telemetry Data Mining using Discrete Attributes. ICPRAM 2017: 309-317 - [c4]Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall:
Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. MobiHealth 2017: 242-249 - [c3]Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall:
Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. LIDTA@PKDD/ECML 2017: 141-151 - [i4]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 abs/1704.06062 (2017) - [i3]Yehezkel S. Resheff, Moni Shahar:
Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction. CoRR abs/1712.07230 (2017) - 2016
- [j1]Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall:
Topic modeling of behavioral modes using sensor data. Int. J. Data Sci. Anal. 1(1): 51-60 (2016) - [c2]Yehezkel S. Resheff:
Online trajectory segmentation and summary with applications to visualization and retrieval. IEEE BigData 2016: 1832-1840 - [i2]Yehezkel S. Resheff:
Online Trajectory Segmentation and Summary With Applications to Visualization and Retrieval. CoRR abs/1607.08188 (2016) - 2015
- [c1]Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall:
Matrix factorization approach to behavioral mode analysis from acceleration data. DSAA 2015: 1-6 - [i1]Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall:
Topic Modeling of Behavioral Modes Using Sensor Data. CoRR abs/1511.05082 (2015)
Coauthor Index
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