Yehezkel S. Resheff

Orcid: 0000-0001-7863-7632

According to our database1, Yehezkel S. Resheff authored at least 26 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Proving unfairness of decision making systems without model access.
Expert Syst. Appl., 2023

2022
Privacy-Preserving Decision Trees Training and Prediction.
ACM Trans. Priv. Secur., 2022

2021
Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study.
CoRR, 2021

Explainable AI and Adoption of Financial Algorithmic Advisors: An Experimental Study.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2019
Privacy-Preserving Decision Tree Training and Prediction against Malicious Server.
IACR Cryptol. ePrint Arch., 2019

Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

All Together Now! The Benefits of Adaptively Fusing Pre-trained Deep Representations.
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.
Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods, 2019

2018
Identifying Financial Institutions by Transaction Signatures.
CoRR, 2018

Privacy-Adversarial User Representations in Recommender Systems.
CoRR, 2018

Using Near-Surface Observations for Optimizing the Timing of Overhead Image Acquisition for Applied Mapping of Woody Vegetation Species.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018

Topic models for automated motor analysis in schizophrenia patients.
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.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

ARIMA-based motor anomaly detection in schizophrenia inpatients.
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.
Remote. Sens., 2017

Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction.
CoRR, 2017

Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss.
CoRR, 2017

Controlling Imbalanced Error in Deep Learning with the Log Bilinear Loss.
Proceedings of the First International Workshop on Learning with Imbalanced Domains: Theory and Applications, 2017

Real-Time Schizophrenia Monitoring Using Wearable Motion Sensitive Devices.
Proceedings of the Wireless Mobile Communication and Healthcare, 2017

Optimal Linear Imputation with a Convergence Guarantee.
Proceedings of the Pattern Recognition Applications and Methods, 2017

Optimized Linear Imputation.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Algorithms for Telemetry Data Mining using Discrete Attributes.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

A wavelet-based approach to monitoring Parkinson's disease symptoms.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Topic modeling of behavioral modes using sensor data.
Int. J. Data Sci. Anal., 2016

Online trajectory segmentation and summary with applications to visualization and retrieval.
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.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015


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