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2022
Machine Learning for Health (ML4H) 2022.
[DOI]
Antonio Parziale
,
Monica Agrawal
,
Shengpu Tang
,
Kristen Severson
,
Luis Oala
,
Adarsh Subbaswamy
,
Sayantan Kumar
,
Elora D. M. Schörverth
,
Stefan Hegselmann
,
Helen Zhou
,
Ghada Zamzmi
,
Purity Mugambi
,
Elena Sizikova
,
Girmaw Abebe Tadesse
,
Yuyin Zhou
,
Taylor W. Killian
,
Haoran Zhang
,
Fahad Kamran
,
Andrea Hobby
,
Mars Huang
,
Ahmed M. Alaa
,
Harvineet Singh
,
Irene Y. Chen
,
Shalmali Joshi
Proceedings of the Machine Learning for Health, 2022
2021
Machine Learning for Health: Algorithm Auditing & Quality Control.
[DOI]
Luis Oala
,
Andrew G. Murchison
,
Pradeep Balachandran
,
Shruti Choudhary
,
Jana Fehr
,
Alixandro Werneck Leite
,
Peter G. Goldschmidt
,
Christian Johner
,
Elora D. M. Schörverth
,
Rose Nakasi
,
Martin Meyer
,
Federico Cabitza
,
Pat D. Baird
,
Carolin Prabhu
,
Eva Weicken
,
Xiaoxuan Liu
,
Markus Wenzel
,
Steffen Vogler
,
Darlington Ahiale Akogo
,
Shada Alsalamah
,
Emre Kazim
,
Adriano S. Koshiyama
,
Sven Piechottka
,
Sheena Macpherson
,
Ian Shadforth
,
Regina Geierhofer
,
Christian Matek
,
Joachim Krois
,
Bruno Sanguinetti
,
Matthew Arentz
,
Pavol Bielik
,
Saúl Calderón Ramírez
,
Auss Abbood
,
Nicolas Langer
,
Stefan Haufe
,
Ferath Kherif
,
Sameer Pujari
,
Wojciech Samek
,
Thomas Wiegand
J. Medical Syst., 2021