基本信息
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Bio
My current research focuses on developing machine learning (ML) models for time series, foremost in healthcare applications, whereas a large focus has been on sepsis prediction from streamed monitoring data in the ICU.
Methodologically, I am interested in all kinds of differentiable models (e.g. Gaussian process adapters, temporal convolutional networks, recurrent architectures, autoencoders etc.). Besides, inspired by a great team, I am also exploring more mathy flavours of ML such as topological data analysis or path signatures.
Methodologically, I am interested in all kinds of differentiable models (e.g. Gaussian process adapters, temporal convolutional networks, recurrent architectures, autoencoders etc.). Besides, inspired by a great team, I am also exploring more mathy flavours of ML such as topological data analysis or path signatures.
Research Interests
Papers共 36 篇Author StatisticsCo-AuthorSimilar Experts
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CoRR (2024)
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Yixing Jiang,Jesutofunmi A. Omiye,Cyril Zakka,Michael Moor,Haiwen Gui, Shayan Alipour, Seyed Shahabeddin Mousavi,Jonathan H. Chen,Pranav Rajpurkar,Roxana Daneshjou
medrxiv(2024)
CoRR (2024)
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NEJM AIno. 2 (2024)
Cyril Zakka, Joseph Cho, Gracia Fahed,Rohan Shad,Michael Moor,Robyn Fong, Dhamanpreet Kaur,Vishnu Ravi,Oliver Aalami,Roxana Daneshjou,Akshay Chaudhari,William Hiesinger
CoRR (2024)
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Research square (2023)
JAMA NETWORK OPENno. 10 (2023)
Machine Learning for Health Workshop (2023): 353-367
ECLINICALMEDICINE (2023)
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