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researcher

L. Oudre

4 papers hereh-index 212.7k citations122 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG1
  • stat.CO1
  • stat.ME1
  • stat.ML1

identity via Semantic Scholar / OpenAlex

activity
20182020
most citedruptures: change point detection in Python

20 citations · 20 across the 3 of their papers we have counts for

collaborators

4 papers

stat.ME2020

Meta-analysis parameters computation: a Python approach to facilitate the crossing of experimental conditions

Flavien Quijoux, Charles Truong, Aliénor Vienne-Jumeau +6

Meta-analysis is a data aggregation method that establishes an overall and objective level of evidence based on the results of several studies. It is necessary to maintain a high l…

cs.LG2020

Tensor Convolutional Sparse Coding with Low-Rank activations, an application to EEG analysis

Pierre Humbert, Laurent Oudre, Nivolas Vayatis +1

Recently, there has been growing interest in the analysis of spectrograms of ElectroEncephaloGram (EEG), particularly to study the neural correlates of (un)-consciousness during Ge…

stat.ML2019

Multivariate Convolutional Sparse Coding with Low Rank Tensor

Pierre Humbert, Julien Audiffren, Laurent Oudre +1

This paper introduces a new multivariate convolutional sparse coding based on tensor algebra with a general model enforcing both element-wise sparsity and low-rankness of the activ…

stat.CO2018★ 20 cited

ruptures: change point detection in Python

Charles Truong, Laurent Oudre, Nicolas Vayatis

ruptures is a Python library for offline change point detection. This package provides methods for the analysis and segmentation of non-stationary signals. Implemented algorithms i…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.