activity
20072025
most citedHeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition

32 citations · 51 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Aligning Human and Machine Attention for Enhanced Supervised Learning

Avihay Chriqui, Inbal Yahav, Dov Teeni +1

Attention, or prioritization of certain information items over others, is a critical element of any learning process, for both humans and machines. Given that humans continue to ou…

cs.CL2021★ 32 cited

HeBERT & HebEMO: a Hebrew BERT Model and a Tool for Polarity Analysis and Emotion Recognition

Avihay Chriqui, Inbal Yahav

This paper introduces HeBERT and HebEMO. HeBERT is a Transformer-based model for modern Hebrew text, which relies on a BERT (Bidirectional Encoder Representations for Transformers)…

cs.LG2020★ 1 cited

Whom to Test? Active Sampling Strategies for Managing COVID-19

Yingfei Wang, Inbal Yahav, Balaji Padmanabhan

This paper presents methods to choose individuals to test for infection during a pandemic such as COVID-19, characterized by high contagion and presence of asymptomatic carriers. T…

stat.AP2010★ 16 cited

E-loyalty networks in online auctions

Wolfgang Jank, Inbal Yahav

Creating a loyal customer base is one of the most important, and at the same time, most difficult tasks a company faces. Creating loyalty online (e-loyalty) is especially difficult…

stat.CO2007★ 2 cited

An Elegant Method for Generating Multivariate Poisson Random Variable

Inbal Yahav, Galit Shmueli

Generating multivariate Poisson data is essential in many applications. Current simulation methods suffer from limitations ranging from computational complexity to restrictions on…