21 citations · 60 across the 10 of their papers we have counts for
Showing 2021Show all
3 papers · 1 filter
cs.LG2021★ 1 cited
Categorizing Items with Short and Noisy Descriptions using Ensembled Transferred Embeddings
Yonatan Hadar, Erez Shmueli
Item categorization is a machine learning task which aims at classifying e-commerce items, typically represented by textual attributes, to their most suitable category from a prede…
cs.LG2021
Fairness-Driven Private Collaborative Machine Learning
Dana Pessach, Tamir Tassa, Erez Shmueli
The performance of machine learning algorithms can be considerably improved when trained over larger datasets. In many domains, such as medicine and finance, larger datasets can be…
cs.LG2021
A Non-Parametric Subspace Analysis Approach with Application to Anomaly Detection Ensembles
Marcelo Bacher, Irad Ben-Gal, Erez Shmueli
Identifying anomalies in multi-dimensional datasets is an important task in many real-world applications. A special case arises when anomalies are occluded in a small set of attrib…