2 citations · 2 across the 1 of their papers we have counts for
5 papers
Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang
Daphna Keidar, Andreas Opedal, Zhijing Jin +1
Languages are continuously undergoing changes, and the mechanisms that underlie these changes are still a matter of debate. In this work, we approach language evolution through the…
Towards Automatic Bias Detection in Knowledge Graphs
Daphna Keidar, Mian Zhong, Ce Zhang +2
With the recent surge in social applications relying on knowledge graphs, the need for techniques to ensure fairness in KG based methods is becoming increasingly evident. Previous…
Recovering Barabási-Albert Parameters of Graphs through Disentanglement
Cristina Guzman, Daphna Keidar, Tristan Meynier +2
Classical graph modeling approaches such as Erdős Rényi (ER) random graphs or Barabási-Albert (BA) graphs, here referred to as stylized models, aim to reproduce properties of real-…
Point of Care Image Analysis for COVID-19
Daniel Yaron, Daphna Keidar, Elisha Goldstein +22
Early detection of COVID-19 is key in containing the pandemic. Disease detection and evaluation based on imaging is fast and cheap and therefore plays an important role in COVID-19…
COVID-19 Classification of X-ray Images Using Deep Neural Networks
Elisha Goldstein, Daphna Keidar, Daniel Yaron +24
In the midst of the coronavirus disease 2019 (COVID-19) outbreak, chest X-ray (CXR) imaging is playing an important role in the diagnosis and monitoring of patients with COVID-19.…