3 papers
stat.AP2025
How can methods for classifying and clustering trajectories be used for prevention trials? An example in Alzheimer's disease area
Céline Bougel, Sébastien Déjean, Caroline Giulioli +3
Background: Clinical trials are designed to prove the efficacy of an intervention by means of model-based approaches involving parametric hypothesis testing. Issues arise when no e…
stat.AP2023
Improvement of variables interpretability in kernel PCA
Mitja Briscik, Marie-Agnès Dillies, Sébastien Déjean
Kernel methods have been proven to be a powerful tool for the integration and analysis of highthroughput technologies generated data. Kernels offer a nonlinear version of any linea…
cs.IR2019
Forward and Backward Feature Selection for Query Performance Prediction
Sébastien Déjean, Radu Tudor Ionescu, Josiane Mothe +1
The goal of query performance prediction (QPP) is to automatically estimate the effectiveness of a search result for any given query, without relevance judgements. Post-retrieval f…