| 2021 | AIES | Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study. | Daniel Ben David, Yehezkel S. Resheff, Talia Tron |
| 2019 | ICPRAM | Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations. | Yehezkel S. Resheff, Yanai Elazar, Moni Shahar, Oren Sar Shalom |
| 2019 | ICPRAM | All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations. | Yehezkel S. Resheff, Itay Lieder, Tom Hope |
| 2018 | BSN | Topic models for automated motor analysis in schizophrenia patients. | Talia Tron, Yehezkel S. Resheff, Mikhail Bazhmin, Abraham Peled, Alexander Grinsphoon, Daphna Weinshall |
| 2018 | IGARSS | 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 |
| 2017 | ICASSP | A wavelet-based approach to monitoring Parkinson's disease symptoms. | Avishai Wagner, Naama Fixler, Yehezkel S. Resheff |
| 2017 | ICPRAM | Algorithms for Telemetry Data Mining using Discrete Attributes. | Roy B. Ofer, Adi Eldar, Adi Shalev, Yehezkel S. Resheff |
| 2017 | ICPRAM | Optimized Linear Imputation. | Yehezkel S. Resheff, Daphna Weinshall |
| 2017 | ICPRAM | Optimal Linear Imputation with a Convergence Guarantee. | Yehezkel S. Resheff, Daphna Weinshall |
| 2015 | DSAA | Matrix factorization approach to behavioral mode analysis from acceleration data. | Yehezkel S. Resheff, Shay Rotics, Ran Nathan, Daphna Weinshall |