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pro vyhledávání: '"Biernacki, Christophe"'
In healthcare, patient data is often collected as multivariate time series, providing a comprehensive view of a patient's health status over time. While this data can be sparse, connected devices may enhance its frequency. The goal is to create patie
Externí odkaz:
http://arxiv.org/abs/2312.17286
Publikováno v:
Proceedings of the 39th International Conference on Machine Learning, PMLR 162:2257-2291, 2022
Real-world networks often come with side information that can help to improve the performance of network analysis tasks such as clustering. Despite a large number of empirical and theoretical studies conducted on network clustering methods during the
Externí odkaz:
http://arxiv.org/abs/2112.10467
Autor:
Sportisse, Aude, Marbac, Matthieu, Laporte, Fabien, Celeux, Gilles, Boyer, Claire, Josse, Julie, Biernacki, Christophe
Model-based unsupervised learning, as any learning task, stalls as soon as missing data occurs. This is even more true when the missing data are informative, or said missing not at random (MNAR). In this paper, we propose model-based clustering algor
Externí odkaz:
http://arxiv.org/abs/2112.10425
Relationship between agents can be conveniently represented by graphs. When these relationships have different modalities, they are better modelled by multilayer graphs where each layer is associated with one modality. Such graphs arise naturally in
Externí odkaz:
http://arxiv.org/abs/2103.03235
We investigate the parameter estimation of regression models with fixed group effects, when the group variable is missing while group related variables are available. This problem involves clustering to infer the missing group variable based on the g
Externí odkaz:
http://arxiv.org/abs/2012.14159
For regulatory and interpretability reasons, logistic regression is still widely used. To improve prediction accuracy and interpretability, a preprocessing step quantizing both continuous and categorical data is usually performed: continuous features
Externí odkaz:
http://arxiv.org/abs/1903.08920
Autor:
Ehrhardt, Adrien, Biernacki, Christophe, Vandewalle, Vincent, Heinrich, Philippe, Beben, Sébastien
Publikováno v:
49e Journ\'ees de Statistique, May 2017, Avignon, France
The granting process of all credit institutions rejects applicants who seem risky regarding the repayment of their debt. A credit score is calculated and associated with a cut-off value beneath which an applicant is rejected. Developing a new score i
Externí odkaz:
http://arxiv.org/abs/1903.10855
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Publikováno v:
In Neurocomputing 28 October 2022 511:319-336
Publikováno v:
In Pattern Recognition July 2020 103