Yehezkel S. Resheff

According to our database, Yehezkel S. Resheff authored at least 26 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Proving unfairness of decision making systems without model access.

Yehezkel S. Resheff, Yair Horesh, Moni Shahar

Expert Syst. Appl., 2023

2022

Privacy-Preserving Decision Trees Training and Prediction.

Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald

ACM Trans. Priv. Secur., 2022

2021

Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study.

Daniel Ben David, Yehezkel S. Resheff, Talia Tron

CoRR, 2021

Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study.

Daniel Ben David, Yehezkel S. Resheff, Talia Tron

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2019

Privacy-Preserving Decision Tree Training and Prediction against Malicious Server.

Adi Akavia, Max Leibovich, Yehezkel S. Resheff, Roey Ron, Moni Shahar, Margarita Vald

IACR Cryptol. ePrint Arch., 2019

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning.

Yair Horesh, Noa Haas, Elhanan Mishraky, Yehezkel S. Resheff, Shir Meir Lador

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations.

Yehezkel S. Resheff, Itay Lieder, Tom Hope

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations.

Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom

Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018

Identifying Financial Institutions by Transaction Signatures.

Noa Haas, Yair Horesh, Shimon Shahar, Yehezkel S. Resheff

CoRR, 2018

Privacy-Adversarial User Representations in Recommender Systems.

Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom

CoRR, 2018

Using Near-Surface Observations for Optimizing the Timing of Overhead Image Acquisition for Applied Mapping of Woody Vegetation Species.

Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin

Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Topic models for automated motor analysis in schizophrenia patients.

Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall

Proceedings of the 15th IEEE International Conference on Wearable and Implantable Body Sensor Networks, 2018

A Statistical Approach to Inferring Business Locations Based on Purchase Behavior.

Yehezkel S. Resheff, Moni Shahar

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ARIMA-based motor anomaly detection in schizophrenia inpatients.

Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Daphna Weinshall, Abraham Peled

Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017

Optimizing the Timing of Unmanned Aerial Vehicle Image Acquisition for Applied Mapping of Woody Vegetation Species Using Feature Selection.

Gilad Weil, Itamar M. Lensky, Yehezkel S. Resheff, Noam Levin

Remote. Sens., 2017

Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction.

Yehezkel S. Resheff, Moni Shahar

CoRR, 2017

Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss.

Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall

CoRR, 2017

Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss.

Yehezkel S. Resheff, Amit Mandelbom, Daphna Weinshall

Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices.

Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Daphna Weinshall

Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Optimal Linear Imputation with a Convergence Guarantee.

Yehezkel S. Resheff, Daphna Weinshall

Proceedings of the Pattern Recognition Applications and Methods, 2017

Optimized Linear Imputation.

Yehezkel S. Resheff, Daphna Weinshall

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Algorithms for Telemetry Data Mining using Discrete Attributes.

Roy B. Ofer, Adi Eldar, Adi Shalev, Yehezkel S. Resheff

Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

A wavelet-based approach to monitoring Parkinson's disease symptoms.

Avishai Wagner, Naama Fixler, Yehezkel S. Resheff

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016

Topic modeling of behavioral modes using sensor data.

Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall

Int. J. Data Sci. Anal., 2016

Online trajectory segmentation and summary with applications to visualization and retrieval.

Yehezkel S. Resheff

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016

2015

Matrix factorization approach to behavioral mode analysis from acceleration data.

Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015