COVID-19 classification of X-ray images using deep neural networks von Keidar, Daphna, Yaron, Daniel, Goldstein, Elisha, Shachar, Yair, Blass, Ayelet, Charbinsky, Leonid, Aharony, Israel, Lifshitz, Liza, Lumelsky, Dimitri, Neeman, Ziv, Mizrachi, Matti, Hajouj, Majd, Eizenbach, Nethanel, Sela, Eyal, Weiss, Chedva S., Levin, Philip, Benjaminov, Ofer, Bachar, Gil N., Tamir, Shlomit, Rapson, Yael, Suhami, Dror, Atar, Eli, Dror, Amiel A., Bogot, Naama R., Grubstein, Ahuva, Shabshin, Nogah, Elyada, Yishai M., Eldar, Yonina C.

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The value of parental medical records for the prediction of diabetes and cardiovascular disease: a novel method for generating and incorporating family histories von Barak-Corren, Yuval, Tsurel, David, Keidar, Daphna, Gofer, Ilan, Shahaf, Dafna, Leventer-Roberts, Maya, Barda, Noam, Reis, Ben Y

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Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang von Keidar, Daphna, Opedal, Andreas, Jin, Zhijing, Sachan, Mrinmaya

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Recovering Barab\'asi-Albert Parameters of Graphs through Disentanglement von Guzman, Cristina, Keidar, Daphna, Meynier, Tristan, Opedal, Andreas, Stoehr, Niklas

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Towards Automatic Bias Detection in Knowledge Graphs von Keidar, Daphna, Zhong, Mian, Zhang, Ce, Shrestha, Yash Raj, Paudel, Bibek

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Slangvolution: A Causal Analysis of Semantic Change and Frequency Dynamics in Slang von Keidar, Daphna, Opedal, Andreas, Jin, Zhijing, Sachan, Mrinmaya

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Recovering Barabási-Albert Parameters of Graphs through Disentanglement von Guzman, Cristina, Keidar, Daphna, Meynier, Tristan, Opedal, Andreas, Stoehr, Niklas

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Towards Automatic Bias Detection in Knowledge Graphs von Keidar, Daphna, Zhong, Mian, Zhang, Ce, Shrestha, Yash Raj, Paudel, Bibek

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Point of Care Image Analysis for COVID-19 von Yaron, Daniel, Keidar, Daphna, Goldstein, Elisha, Shachar, Yair, Blass, Ayelet, Frank, Oz, Schipper, Nir, Shabshin, Nogah, Grubstein, Ahuva, Suhami, Dror, Bogot, Naama R, Sela, Eyal, Dror, Amiel A, Vaturi, Mordehay, Mento, Federico, Torri, Elena, Inchingolo, Riccardo, Smargiassi, Andrea, Soldati, Gino, Perrone, Tiziano, Demi, Libertario, Galun, Meirav, Bagon, Shai, Elyada, Yishai M, Eldar, Yonina C

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COVID-19 Classification of X-ray Images Using Deep Neural Networks von Goldstein, Elisha, Keidar, Daphna, Yaron, Daniel, Shachar, Yair, Blass, Ayelet, Charbinsky, Leonid, Aharony, Israel, Lifshitz, Liza, Lumelsky, Dimitri, Neeman, Ziv, Mizrachi, Matti, Hajouj, Majd, Eizenbach, Nethanel, Sela, Eyal, Weiss, Chedva S, Levin, Philip, Benjaminov, Ofer, Bachar, Gil N, Tamir, Shlomit, Rapson, Yael, Suhami, Dror, Dror, Amiel A, Bogot, Naama R, Grubstein, Ahuva, Shabshin, Nogah, Elyada, Yishai M, Eldar, Yonina C

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Point of Care Image Analysis for COVID-19 von Yaron, Daniel, Keidar, Daphna, Goldstein, Elisha, Shachar, Yair, Blass, Ayelet, Oz, Frank, Schipper, Nir, Shabshin, Nogah, Grubstein, Ahuva, Suhami, Dror, Bogot, Naama R, Sela, Eyal, Dror, Amiel A, Vaturi, Mordehay, Mento, Federico, Torri, Elena, Inchingolo, Riccardo, Smargiassi, Andrea, Soldati, Gino, Perrone, Tiziano, Demi, Libertario, Galun, Meirav, Bagon, Shai, Elyada, Yishai M, Eldar, Yonina C

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COVID-19 Classification of X-ray Images Using Deep Neural Networks von Goldstein, Elisha, Keidar, Daphna, Yaron, Daniel, Shachar, Yair, Blass, Ayelet, Charbinsky, Leonid, Aharony, Israel, Lifshitz, Liza, Lumelsky, Dimitri, Neeman, Ziv, Mizrachi, Matti, Hajouj, Majd, Eizenbach, Nethanel, Sela, Eyal, Weiss, Chedva S, Levin, Philip, Benjaminov, Ofer, Bachar, Gil N, Tamir, Shlomit, Rapson, Yael, Suhami, Dror, Dror, Amiel A, Bogot, Naama R, Grubstein, Ahuva, Shabshin, Nogah, Elyada, Yishai M, Eldar, Yonina C

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