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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

H. Jeong, S. Jabbour, Y. Yang, R. Thapa, H. Mozannar, W. Han, N. Mehandru, M. Wornow, V. Lialin, X. Liu, A. Lozano, J. Zhu, R. Kocielnik, K. Harrigian, H. Zhang, E. Lee, M. Vukadinovic, A. Balagopalan, V. Jeanselme, K. Matton, I. Demirel, J. Fries, P. Rashidi, B. Beaulieu-Jones, X. Xu, M. McDermott, T. Naumann, M. Agrawal, M. Zitnik, B. Ustun, E. Choi, K. Yeom, G. Gursoy, M. Ghassemi, E. Pierson, G. Chen, S. Kanjilal, M. Oberst, L. Zhang, H. Singh, T. Hartvigsen, H. Zhou, and C. Okolo. CoRR, (2024)

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Hussein Hussein

Belal Hussein Mohamed Hussein

Hussein Ahmed Mohammed Hussein

Hussein Ahmed Hussein Amer

Hussein Rady

Other publications of authors with the same name

Teaching Humans When To Defer to a Classifier via Examplars.H. Mozannar, A. Satyanarayan, and D. Sontag. CoRR, (2021)Impact of Large Language Model Assistance on Patients Reading Clinical Notes: A Mixed-Methods Study.N. Mannhardt, E. Bondi-Kelly, B. Lam, C. O'Connell, M. Asiedu, H. Mozannar, M. Agrawal, A. Buendia, T. Urman, I. Riaz and 3 other author(s). CoRR, (2024)Teaching Humans When to Defer to a Classifier via Exemplars.H. Mozannar, A. Satyanarayan, and D. Sontag. AAAI, page 5323-5331. AAAI Press, (2022)Fair Learning with Private Demographic Data.H. Mozannar, M. Ohannessian, and N. Srebro. ICML, volume 119 of Proceedings of Machine Learning Research, page 7066-7075. PMLR, (2020)Consistent Estimators for Learning to Defer to an Expert.H. Mozannar, and D. Sontag. ICML, volume 119 of Proceedings of Machine Learning Research, page 7076-7087. PMLR, (2020)Sample Efficient Learning of Predictors that Complement Humans.M. Charusaie, H. Mozannar, D. Sontag, and S. Samadi. ICML, volume 162 of Proceedings of Machine Learning Research, page 2972-3005. PMLR, (2022)Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.H. Jeong, S. Jabbour, Y. Yang, R. Thapa, H. Mozannar, W. Han, N. Mehandru, M. Wornow, V. Lialin, X. Liu and 33 other author(s). CoRR, (2024)Closing the Gap in High-Risk Pregnancy Care Using Machine Learning and Human-AI Collaboration.H. Mozannar, Y. Utsumi, I. Chen, S. Gervasi, M. Ewing, A. Smith-McLallen, and D. Sontag. CoRR, (2023)Effective Human-AI Teams via Learned Natural Language Rules and Onboarding.H. Mozannar, J. Lee, D. Wei, P. Sattigeri, S. Das, and D. Sontag. CoRR, (2023)Neural Arabic Question Answering.H. Mozannar, E. Maamary, K. Hajal, and H. Hajj. WANLP@ACL 2019, page 108-118. Association for Computational Linguistics, (2019)

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Disambiguation of "Mozannar, Hussein"

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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Please choose a person to relate this publication to

Hussein Hussein

Belal Hussein Mohamed Hussein

Hussein Ahmed Mohammed Hussein

Hussein Ahmed Hussein Amer

Hussein Rady

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Mozannar, Hussein"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.

Please choose a person to relate this publication to

Hussein Hussein

Belal Hussein Mohamed Hussein

Hussein Ahmed Mohammed Hussein

Hussein Ahmed Hussein Amer

Hussein Rady

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium.