output
20052026
most citedDeep Learning for Classification of Hyperspectral Data: A Comparative Review

687 citations

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5 papers · 1 filter

stat.AP2025

Model-Based Clustering of Football Event Sequences: A Marked Spatio-Temporal Point Process Mixture Approach

Koffi Amezouwui, Brigitte Gelein, Matthieu Marbac +1

We propose a novel mixture model for football event data that clusters entire possessions to reveal their temporal, sequential, and spatial structure. Each mixture component models…

stat.AP2025

Note on a non-parametric method for change-point detection

Pierre Ailliot, N'Dèye Coumba Niass, Jean-Marc Derrien

The purpose of this note is to present in details R codes to implement a non-parametric method for change-point detection. The proposed approach is validated from various perspecti…

stat.AP2024

Importance sampling for online variational learning

Mathis Chagneux, Pierre Gloaguen, Sylvain Le Corff +1

This article addresses online variational estimation in state-space models. We focus on learning the smoothing distribution, i.e. the joint distribution of the latent states given…

stat.AP2023

Auto-encoding GPS data to reveal individual and collective behaviour

Saint-Clair Chabert-Liddell, Nicolas Bez, Pierre Gloaguen +2

We propose an innovative and generic methodology to analyse individual and collective behaviour through individual trajectory data. The work is motivated by the analysis of GPS tra…

stat.AP2021★ 9 cited

Parameter estimation and model selection for water sorption in a wood fibre material

Julien Berger, Thibaut Colinart, Bruna R. Loiola +1

The sorption curve is an essential feature for the modelling of heat and mass transfer in porous building materials. Several models have been proposed in the literature to represen…