21 citations · 60 across the 10 of their papers we have counts for
11 papers
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…
ERC20 Transactions over Ethereum Blockchain: Network Analysis and Predictions
Shahar Somin, Goren Gordon, Alex Pentland +2
Following the birth of Bitcoin and the introduction of the Ethereum ERC20 protocol a decade ago, recent years have witnessed a growing number of cryptographic tokens that are being…
Algorithmic Fairness
Dana Pessach, Erez Shmueli
An increasing number of decisions regarding the daily lives of human beings are being controlled by artificial intelligence (AI) algorithms in spheres ranging from healthcare, tran…
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…