10 citations · 28 across the 12 of their papers we have counts for
13 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…
A Statistical Approach to Inferring Business Locations Based on Purchase Behavior
Yehezkel S. Resheff, Moni Shahar
Transaction data obtained by Personal Financial Management (PFM) services from financial institutes such as banks and credit card companies contain a description string from which…
Privacy and Fairness in Recommender Systems via Adversarial Training of User Representations
Yehezkel S. Resheff, Yanai Elazar, Moni Shahar +1
Latent factor models for recommender systems represent users and items as low dimensional vectors. Privacy risks of such systems have previously been studied mostly in the context…
Fusing Multifaceted Transaction Data for User Modeling and Demographic Prediction
Yehezkel S. Resheff, Moni Shahar
Inferring user characteristics such as demographic attributes is of the utmost importance in many user-centric applications. Demographic data is an enabler of personalization, iden…
Every Untrue Label is Untrue in its Own Way: Controlling Error Type with the Log Bilinear Loss
Yehezkel S. Resheff, Amit Mandelbaum, Daphna Weinshall
Deep learning has become the method of choice in many application domains of machine learning in recent years, especially for multi-class classification tasks. The most common loss…
A Wavelet-Based Approach To Monitoring Parkinson's Disease Symptoms
Avishai Wagner, Naama Fixler, Yehezkel S. Resheff
Parkinson's disease is a neuro-degenerative disorder affecting tens of millions of people worldwide. Lately, there has been considerable interest in systems for at-home monitoring…
Topic Modeling of Behavioral Modes Using Sensor Data
Yehezkel S. Resheff, Shay Rotics, Ran Nathan +1
The field of Movement Ecology, like so many other fields, is experiencing a period of rapid growth in availability of data. As the volume rises, traditional methods are giving way…
Optimized Linear Imputation
Yehezkel S. Resheff, Daphna Weinshall
Often in real-world datasets, especially in high dimensional data, some feature values are missing. Since most data analysis and statistical methods do not handle gracefully missin…