4 citations · 4 across the 5 of their papers we have counts for
10 papers
An Unconstrained Optimization Approach to Moment Fitting with Phase Type Distributions
Eliran Sherzer, Yehezkel Resheff, Miklos Telek
Phase type (PH) distributions are widely used in modeling and simulation due to their generality and analytical properties. In such settings, it is often necessary to construct a P…
Neural Fingerprints for Adversarial Attack Detection
Haim Fisher, Moni Shahar, Yehezkel S. Resheff
Deep learning models for image classification have become standard tools in recent years. A well known vulnerability of these models is their susceptibility to adversarial examples…
Approximating G(t)/GI/1 queues with deep learning
Eliran Sherzer, Opher Baron, Dmitry Krass +1
In this paper, we apply a supervised machine-learning approach to solve a fundamental problem in queueing theory: estimating the transient distribution of the number in the system…
Explainable AI and Adoption of Financial Algorithmic Advisors: an Experimental Study
Daniel Ben David, Yehezkel S. Resheff, Talia Tron
We study whether receiving advice from either a human or algorithmic advisor, accompanied by five types of Local and Global explanation labelings, has an effect on the readiness to…
Paired-Consistency: An Example-Based Model-Agnostic Approach to Fairness Regularization in Machine Learning
Yair Horesh, Noa Haas, Elhanan Mishraky +2
As AI systems develop in complexity it is becoming increasingly hard to ensure non-discrimination on the basis of protected attributes such as gender, age, and race. Many recent me…
Identifying Financial Institutions by Transaction Signatures
Noa Haas, Yair Horesh, Shimon Shahar +1
Financial data aggregators and Personal Financial Management (PFM) services are software products that help individuals manage personal finances by collecting information from mult…