Search Results for author: Antoine Guillaume

Found 3 papers, 2 papers with code

aeon: a Python toolkit for learning from time series

2 code implementations • 20 Jun 2024 • Matthew Middlehurst, Ali Ismail-Fawaz, Antoine Guillaume, Christopher Holder, David Guijo Rubio, Guzal Bulatova, Leonidas Tsaprounis, Lukasz Mentel, Martin Walter, Patrick Schäfer, Anthony Bagnall

aeon is a unified Python 3 library for all machine learning tasks involving time series.

Anomaly Detection Model Selection +2

1,153

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Random Dilated Shapelet Transform: A New Approach for Time Series Shapelets

1 code implementation • 28 Sep 2021 • Antoine Guillaume, Christel Vrain, Elloumi Wael

Shapelet-based algorithms are widely used for time series classification because of their ease of interpretation, but they are currently outperformed by recent state-of-the-art approaches.

Ranked #1 on Time Series Classification on ArrowHead

Classification Time Series +2

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Code

Predictive maintenance on event logs: Application on an ATM fleet

no code implementations • 22 Nov 2020 • Antoine Guillaume, Christel Vrain, Elloumi Wael

Predictive maintenance is used in industrial applications to increase machine availability and optimize cost related to unplanned maintenance.

General Classification Time Series Analysis +1

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