activity
20192025
collaborators

5 papers

stat.AP2025

Chronic Stress, Immune Suppression, and Cancer Occurrence: Unveiling the Connection using Survey Data and Predictive Models

Teddy Lazebnik, Vered Aharonson

Chronic stress was implicated in cancer occurrence, but a direct causal connection has not been consistently established. Machine learning and causal modeling offer opportunities t…

cs.SD2024

Source -Free Domain Adaptation for Speaker Verification in Data-Scarce Languages and Noisy Channels

Shlomo Salo Elia, Aviad Malachi, Vered Aharonson +1

Domain adaptation is often hampered by exceedingly small target datasets and inaccessible source data. These conditions are prevalent in speech verification, where privacy policies…

cs.CV2020

Automated machine vision enabled detection of movement disorders from hand drawn spirals

Nabeel Seedat, Vered Aharonson, Ilana Schlesinger

A widely used test for the diagnosis of Parkinson's disease (PD) and Essential tremor (ET) is hand-drawn shapes,where the analysis is observationally performed by the examining neu…

cs.LG2020

Machine learning discrimination of Parkinson's Disease stages from walker-mounted sensors data

Nabeel Seedat, Vered Aharonson

Clinical methods that assess gait in Parkinson's Disease (PD) are mostly qualitative. Quantitative methods necessitate costly instrumentation or cumbersome wearable devices, which…

cs.LG2019

Estimation of Body Mass Index from Photographs using Deep Convolutional Neural Networks

Adam Pantanowitz, Emmanuel Cohen, Philippe Gradidge +4

Obesity is an important concern in public health, and Body Mass Index is one of the useful (and proliferant) measures. We use Convolutional Neural Networks to determine Body Mass I…