no code implementations • 23 Apr 2024 • Thomas Guyet, Pierre Pinson, Enoal Gesny
These methods are then applied in clustering algorithms to propose original and sound clustering algorithms for timed sequences.
1 code implementation • 2 Oct 2023 • Hana Sebia, Thomas Guyet, Etienne Audureau
Tensor decomposition has recently been gaining attention in the machine learning community for the analysis of individual traces, such as Electronic Health Records (EHR).
no code implementations • 20 Sep 2023 • Thomas Guyet
A sequential pattern with negation, or negative sequential pattern, takes the form of a sequential pattern for which the negation symbol may be used in front of some of the pattern's itemsets.
1 code implementation • Advanced Analytics and Learning on Temporal Data 2023 • Arik Ermshaus, Patrick Schäfer, Anthony Bagnall, Thomas Guyet, Georgiana Ifrim, Vincent Lemaire, Ulf Leser, Colin Leverger, Simon Malinowski
Despite its importance, existing methods demonstrate limited efficacy on real-world multivariate time series data.
no code implementations • 24 Apr 2023 • Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
Counterfactual explanations have become a mainstay of the XAI field.
1 code implementation • 21 Dec 2022 • Victor Guyomard, Françoise Fessant, Thomas Guyet, Tassadit Bouadi, Alexandre Termier
Our contribution is the generation of counterfactuals that are close to the distribution of the predicted class.
no code implementations • 21 Dec 2022 • Thomas Guyet, Laurent Spillemaecker, Simon Malinowski, Anne-Isabelle Graux
To address this problem, our method applies time series forecasting using climate information and grass growth from previous time steps.
1 code implementation • 28 Sep 2022 • Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche, Abel Henriot
Each time series is made of daily measurements of groundwater levels and two exogenous variables, rainfall and evapotranspiration.
no code implementations • 27 Jan 2022 • Thomas Guyet, Wenbin Zhang, Albert Bifet
The need to analyze information from streams arises in a variety of applications.
no code implementations • 17 Feb 2020 • Thomas Guyet, Philippe Besnard
In the field of pattern mining, a negative sequential pattern is specified by means of a sequence consisting of events to occur and of other events, called negative events, to be absent.
no code implementations • 6 Nov 2018 • Colin Leverger, Vincent Lemaire, Simon Malinowski, Thomas Guyet, Laurence Rozé
In the context of capacity planning, forecasting the evolution of informatics servers usage enables companies to better manage their computational resources.
no code implementations • 4 Apr 2018 • Thomas Guyet, René Quiniou
Such patterns inform about which events are frequently observed in sequences, i. e. what does really happen.
no code implementations • 14 Nov 2017 • Thomas Guyet, Yves Moinard, René Quiniou, Torsten Schaub
We propose encodings of the classical sequential pattern mining tasks within two representations of embeddings (fill-gaps vs skip-gaps) and for various kinds of patterns: frequent, constrained and condensed.
no code implementations • 11 Sep 2017 • Thomas Guyet, René Quiniou, Véronique Masson
This article extends the method of Garriga et al. for mining relevant rules to numerical attributes by extracting interval-based pattern rules.
no code implementations • 11 Sep 2017 • Ahmed Samet, Thomas Guyet, Benjamin Negrevergne, Tien-Tuan Dao, Tuan Nha Hoang, Marie-Christine Ho Ba Tho
In this paper, we tackle the problem of extracting frequent opinions from uncertain databases.
no code implementations • 11 Sep 2017 • Yann Dauxais, Thomas Guyet, David Gross-Amblard, André Happe
Pharmaco-epidemiology (PE) is the study of uses and effects of drugs in well defined populations.
no code implementations • 26 Jul 2017 • Thomas Guyet, André Happe, Yann Dauxais
Sequential pattern mining algorithms are widely used to explore care pathways database, but they generate a deluge of patterns, mostly redundant or useless.
no code implementations • 8 Jan 2016 • Adeline Bailly, Simon Malinowski, Romain Tavenard, Thomas Guyet, Laetitia Chapel
In this paper, we design a time series classification scheme that builds on the SIFT framework adapted to time series to feed a Bag-of-Words.
no code implementations • 27 Sep 2014 • Thomas Guyet, Yves Moinard, René Quiniou
Serial pattern mining consists in extracting the frequent sequential patterns from a unique sequence of itemsets.