Yehezkel S. Resheff | DeepAI

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Yanai Elazar
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∙ 01/05/2021

Explainable AI and Adoption of Algorithmic Advisors: an Experimental Study

Machine learning is becoming a commonplace part of our technological exp...

0 Daniel Ben David, et al. ∙

∙ 08/07/2019

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

As AI systems develop in complexity it is becoming increasingly hard to ...

0 Yair Horesh, et al. ∙

∙ 07/23/2018

Identifying Financial Institutions by Transaction Signatures

Financial data aggregators and Personal Financial Management (PFM) servi...

0 Noa Haas, et al. ∙

∙ 07/16/2018

A Statistical Approach to Inferring Business Locations Based on Purchase Behavior

Transaction data obtained by Personal Financial Management (PFM) service...

0 Yehezkel S. Resheff, et al. ∙

∙ 07/10/2018

Privacy-Adversarial User Representations in Recommender Systems

Latent factor models for recommender systems represent users and items a...

0 Yehezkel S. Resheff, et al. ∙

∙ 12/19/2017

Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction

Inferring user characteristics such as demographic attributes is of the ...

0 Yehezkel S. Resheff, et al. ∙

∙ 04/20/2017

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

Deep learning has become the method of choice in many application domain...

0 Yehezkel S. Resheff, et al. ∙

∙ 07/24/2016

Online Trajectory Segmentation and Summary With Applications to Visualization and Retrieval

Trajectory segmentation is the process of subdividing a trajectory into ...

0 Yehezkel S. Resheff, et al. ∙

∙ 11/17/2015

Optimized Linear Imputation

Often in real-world datasets, especially in high dimensional data, some ...

0 Yehezkel S. Resheff, et al. ∙

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