5 papers
Early Classification of Time Series in Non-Stationary Cost Regimes
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols +1
Early Classification of Time Series (ECTS) addresses decision-making problems in which predictions must be made as early as possible while maintaining high accuracy. Most existing…
Early Classification of Time Series: A Survey and Benchmark
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols +1
In many situations, the measurements of a studied phenomenon are provided sequentially, and the prediction of its class needs to be made as early as possible so as not to incur too…
Khiops: An End-to-End, Frugal AutoML and XAI Machine Learning Solution for Large, Multi-Table Databases
Marc Boullé, Nicolas Voisine, Bruno Guerraz +10
Khiops is an open source machine learning tool designed for mining large multi-table databases. Khiops is based on a unique Bayesian approach that has attracted academic interest w…
Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols +1
Early Classification of Time Series (ECTS) has been recognized as an important problem in many areas where decisions have to be taken as soon as possible, before the full data avai…
Unsupervised Feature Construction for Anomaly Detection in Time Series -- An Evaluation
Marine Hamon, Vincent Lemaire, Nour Eddine Yassine Nair-Benrekia +2
To detect anomalies with precision and without prior knowledge in time series, is it better to build a detector from the initial temporal representation, or to compute a new (tabul…