3 papers
cs.LG2021
Tabular Data: Deep Learning is Not All You Need
Ravid Shwartz-Ziv, Amitai Armon
A key element in solving real-life data science problems is selecting the types of models to use. Tree ensemble models (such as XGBoost) are usually recommended for classification…
cs.LG2020
Spatial-Temporal Convolutional Network for Spread Prediction of COVID-19
Ravid Shwartz-Ziv, Itamar Ben Ari, Amitai Armon
In this work we present a spatial-temporal convolutional neural network for predicting future COVID-19 related symptoms severity among a population, per region, given its past repo…
cs.LG2019
A Weak Supervision Approach to Detecting Visual Anomalies for Automated Testing of Graphics Units
Adi Szeskin, Lev Faivishevsky, Ashwin K Muppalla +2
We present a deep learning system for testing graphics units by detecting novel visual corruptions in videos. Unlike previous work in which manual tagging was required to collect l…