COVID-19 Classification of X-ray Images Using Deep Neural Networks. - Elisha Goldstein; Daphna Keidar; Daniel Yaron; Yair Shachar; Ayelet Blass; Leonid Charbinsky; Israel Aharony; Liza Lifshitz; Dimitri Lumelsky; Ziv Neeman; Matti Mizrachi; Majd Hajouj; et al. (CoRR, 2020)

Towards Automatic Bias Detection in Knowledge Graphs. - Daphna Keidar; Mian Zhong; Ce Zhang; Yash Raj Shrestha; Bibek Paudel (EMNLP (Findings), 2021)

Point of Care Image Analysis for COVID-19. - Daniel Yaron; Daphna Keidar; Elisha Goldstein; Yair Shachar; Ayelet Blass; Oz Frank; Nir Schipper; Nogah Shabshin; Ahuva Grubstein; Dror Suhami; Naama R. Bogot; Chedva S. Weiss; et al. (ICASSP, 2021)

Recovering Barabási-Albert Parameters of Graphs through Disentanglement. - Cristina Guzman; Daphna Keidar; Tristan Meynier; Andreas Opedal; Niklas Stoehr (CoRR, 2021)

Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang. - Daphna Keidar; Andreas Opedal; Zhijing Jin 001; Mrinmaya Sachan (ACL (1), 2022)

The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories. - Yuval Barak-Corren; David Tsurel; Daphna Keidar; Ilan Gofer; Dafna Shahaf; Maya Leventer-Roberts; Noam Barda; Ben Y. Reis (J. Am. Medical Informatics Assoc., 2023)