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Hi there, I'm Sylvain W. Combettes 👋

Since February 2024, I have been a postdoctoral researcher at the Centre Borelli research lab from Ecole Normale Supérieure Paris-Saclay, under the supervision of Laurent Oudre. I am working on the BrevetAI project from SaclAI School (DATAIA Institute), a "learning-by-doing" pedagogical platform for AI acculturation.

Previously, I was a PhD student, also at the Centre Borelli, where I worked on machine learning applied to time series, under the supervision of Laurent Oudre and Charles Truong. More precisely, my research focused on symbolic representation for time series, as well as distance measures on them. I successfully defended my PhD on January 8th, 2024.

My website: https://sylvaincom.github.io/

Sylvain Combettes's Projects

aeon icon aeon

A unified framework for machine learning with time series

anomaly-detection-pca icon anomaly-detection-pca

Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.

astride icon astride

[Preprint] Python implementation of "ASTRIDE: Adaptive Symbolization for Time Series Databases"

c-for-data-science icon c-for-data-science

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

comparison-distributions icon comparison-distributions

[Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.

d-symb icon d-symb

[ICDMW 2023] Python implementation of d_{symb}: "An Interpretable Distance Measure for Multivariate Non-Stationary Physiological Signals"

medgan-tips icon medgan-tips

[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.

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