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Marc Chadeau-Hyam
ORCID
Publication Activity (10 Years)
Years Active: 2008-2023
Publications (10 Years): 3
Top Topics
Deep Learning
Biomedical Data
Possibilistic C Means
Clustering Approaches
Top Venues
Bioinform.
Artif. Intell. Rev.
Int. J. Medical Informatics
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Publications
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Anna Cascarano
,
Jordi Mur-Petit
,
Jerónimo Hernández-González
,
Marina Camacho
,
Nina de Toro Eadie
,
Polyxeni Gkontra
,
Marc Chadeau-Hyam
,
Jordi Vitrià
,
Karim Lekadir
Machine and deep learning for longitudinal biomedical data: a review of methods and applications.
Artif. Intell. Rev.
56 (S2) (2023)
Angélica Atehortúa
,
Polyxeni Gkontra
,
Marina Camacho
,
Oliver Díaz
,
Maria Bulgheroni
,
Valentina Simonetti
,
Marc Chadeau-Hyam
,
Janine F. Felix
,
Sylvain Sebert
,
Karim Lekadir
Cardiometabolic risk estimation using exposome data and machine learning.
Int. J. Medical Informatics
179 (2023)
Barbara Bodinier
,
Dragana Vuckovic
,
Sabrina Rodrigues
,
Sarah Filippi
,
Julien Chiquet
,
Marc Chadeau-Hyam
Automated calibration of consensus weighted distance-based clustering approaches using sharp.
Bioinform.
39 (10) (2023)
Leonardo Bottolo
,
Marc Chadeau-Hyam
,
David I. Hastie
,
Sarah R. Langley
,
Enrico Petretto
,
Laurence Tiret
,
David Tregouet
,
Sylvia Richardson
++: a C++ objected-oriented algorithm for Bayesian stochastic search model exploration.
Bioinform.
27 (4) (2011)
Marc Chadeau-Hyam
,
Clive J. Hoggart
,
Paul F. O'Reilly
,
John C. Whittaker
,
Maria De Iorio
,
David J. Balding
Fregene: Simulation of realistic sequence-level data in populations and ascertained samples.
BMC Bioinform.
9 (2008)