13 citations · 14 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
Improving Label Ranking Ensembles using Boosting Techniques
Lihi Dery, Erez Shmueli
Label ranking is a prediction task which deals with learning a mapping between an instance and a ranking (i.e., order) of labels from a finite set, representing their relevance to…