Matrix factorization approach to behavioral mode analysis from acceleration data. - Yehezkel S. Resheff; Shay Rotics; Ran Nathan; Daphna Weinshall (DSAA, 2015)

Online trajectory segmentation and summary with applications to visualization and retrieval. - Yehezkel S. Resheff (IEEE BigData, 2016)

Topic modeling of behavioral modes using sensor data. - Yehezkel S. Resheff; Shay Rotics; Ran Nathan; Daphna Weinshall (Int. J. Data Sci. Anal., 2016)

A wavelet-based approach to monitoring Parkinson's disease symptoms. - Avishai Wagner; Naama Fixler; Yehezkel S. Resheff (ICASSP, 2017)

Algorithms for Telemetry Data Mining using Discrete Attributes. - Roy B. Ofer; Adi Eldar; Adi Shalev; Yehezkel S. Resheff (ICPRAM, 2017)

Optimized Linear Imputation. - Yehezkel S. Resheff; Daphna Weinshall (ICPRAM, 2017)

Optimal Linear Imputation with a Convergence Guarantee. - Yehezkel S. Resheff; Daphna Weinshall (ICPRAM (Revised Selected Papers), 2017)

Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices. - Talia Tron; Yehezkel S. Resheff; Mikhail Bazhmin; Abraham Peled; Daphna Weinshall (MobiHealth, 2017)

Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss. - Yehezkel S. Resheff; Amit Mandelbom; Daphna Weinshall (LIDTA@PKDD/ECML, 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)

Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction. - Yehezkel S. Resheff; Moni Shahar (CoRR, 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)

ARIMA-based motor anomaly detection in schizophrenia inpatients. - Talia Tron; Yehezkel S. Resheff; Mikhail Bazhmin; Daphna Weinshall; Abraham Peled (BHI, 2018)

A Statistical Approach to Inferring Business Locations Based on Purchase Behavior. - Yehezkel S. Resheff; Moni Shahar (IEEE BigData, 2018)

Topic models for automated motor analysis in schizophrenia patients. - Talia Tron; Yehezkel S. Resheff; Mikhail Bazhmin; Abraham Peled; Alexander Grinsphoon; Daphna Weinshall (BSN, 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 (IGARSS, 2018)

Privacy-Adversarial User Representations in Recommender Systems. - Yehezkel S. Resheff; Yanai Elazar; Moni Shahar; Oren Sar Shalom (CoRR, 2018)

Identifying Financial Institutions by Transaction Signatures. - Noa Haas; Yair Horesh; Shimon Shahar; Yehezkel S. Resheff (CoRR, 2018)

Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. - Yehezkel S. Resheff; Yanai Elazar; Moni Shahar; Oren Sar Shalom (ICPRAM, 2019)

All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. - Yehezkel S. Resheff; Itay Lieder; Tom Hope (ICPRAM, 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 (PKDD/ECML Workshops (1), 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)

Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. - Daniel Ben David; Yehezkel S. Resheff; Talia Tron (AIES, 2021)

Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study. - Daniel Ben David; Yehezkel S. Resheff; Talia Tron (CoRR, 2021)

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)

Proving unfairness of decision making systems without model access. - Yehezkel S. Resheff; Yair Horesh; Moni Shahar (Expert Syst. Appl., 2023)

The Temporal Dynamics of Road Traffic Crash Hotspots. - Yehezkel S. Resheff; Mali Sher; Nicole Adler (ITSC, 2024)

Construction of a Social-Media Based Clinical Database - Roadmap, Challenges, and Feasibility for ADHD Recognition. - Anton Gelashvili; Yehezkel S. Resheff; Gaddi Blumrosen (IEEE Access, 2024)

Neural Fingerprints for Adversarial Attack Detection. - Haim Fisher; Moni Shahar; Yehezkel S. Resheff (CoRR, 2024)