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Towards Automatic Bias Detection in Knowledge Graphs


Sep 19, 2021
Daphna Keidar, Mian Zhong, Ce Zhang, Yash Raj Shrestha, Bibek Paudel

* Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: Findings (EMNLP 2021). Nov 7--11, 2021 

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Recovering Barabási-Albert Parameters of Graphs through Disentanglement


May 04, 2021
Cristina Guzman, Daphna Keidar, Tristan Meynier, Andreas Opedal, Niklas Stoehr

* Accepted at the 9th International Conference on Learning Representations (ICLR 2021), Workshop on Geometrical and Topological Representation Learning 

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Point of Care Image Analysis for COVID-19


Nov 10, 2020
Daniel Yaron, Daphna Keidar, Elisha Goldstein, Yair Shachar, Ayelet Blass, Oz Frank, Nir Schipper, Nogah Shabshin, Ahuva Grubstein, Dror Suhami, Naama R. Bogot, Eyal Sela, Amiel A. Dror, Mordehay Vaturi, Federico Mento, Elena Torri, Riccardo Inchingolo, Andrea Smargiassi, Gino Soldati, Tiziano Perrone, Libertario Demi, Meirav Galun, Shai Bagon, Yishai M. Elyada, Yonina C. Eldar

* Not approved for arXiv 

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COVID-19 Classification of X-ray Images Using Deep Neural Networks


Oct 07, 2020
Elisha Goldstein, Daphna Keidar, Daniel Yaron, Yair Shachar, Ayelet Blass, Leonid Charbinsky, Israel Aharony, Liza Lifshitz, Dimitri Lumelsky, Ziv Neeman, Matti Mizrachi, Majd Hajouj, Nethanel Eizenbach, Eyal Sela, Chedva S Weiss, Philip Levin, Ofer Benjaminov, Gil N Bachar, Shlomit Tamir, Yael Rapson, Dror Suhami, Amiel A Dror, Naama R Bogot, Ahuva Grubstein, Nogah Shabshin, Yishai M Elyada, Yonina C Eldar

* Elisha Goldstein, Daphna Keidar, and Daniel Yaron have made an equal contribution and are equal first authors, listed alphabetically 

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