no code implementations • 21 Oct 2021 • Yonatan Hadar, Erez Shmueli
In this work, we focus on item categorization settings in which the textual attributes representing items are noisy and short, and labels (i. e., accurate classification of items into categories) are not available.
no code implementations • 29 Sep 2021 • Dana Pessach, Tamir Tassa, Erez Shmueli
The performance of machine learning algorithms can be considerably improved when trained over larger datasets.
no code implementations • 13 Jan 2021 • Marcelo Bacher, Irad Ben-Gal, Erez Shmueli
Finally, the set of subspaces is used in an ensemble for anomaly detection.
no code implementations • 21 Jan 2020 • 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 the instance.
no code implementations • 21 Jan 2020 • Dana Pessach, Erez Shmueli
The paper begins by discussing the causes of algorithmic bias and unfairness and the common definitions and measures for fairness.
no code implementations • 19 Dec 2016 • Ben Nassi, Alona Levy, Yuval Elovici, Erez Shmueli
Online signature verification technologies, such as those available in banks and post offices, rely on dedicated digital devices such as tablets or smart pens to capture, analyze and verify signatures.
no code implementations • 5 Aug 2016 • Peter M. Krafft, Julia Zheng, Wei Pan, Nicolás Della Penna, Yaniv Altshuler, Erez Shmueli, Joshua B. Tenenbaum, Alex Pentland
To address this gap, we introduce a new analytical framework: We propose that groups arrive at accurate shared beliefs via distributed Bayesian inference.