Aurélien Renault
YOU?
Author Swipe
View article: Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series
Deep Reinforcement Learning based Triggering Function for Early Classifiers of Time Series Open
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 availability, while time pressure increases. Numerous ECTS appr…
View article: ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making Open
\texttt{ml\_edm} is a Python 3 library, designed for early decision making of any learning tasks involving temporal/sequential data. The package is also modular, providing researchers an easy way to implement their own triggering strategy …
View article: Early Classification of Time Series: A Survey and Benchmark
Early Classification of Time Series: A Survey and Benchmark Open
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 high a time penalty, but not too early and risk paying the…
View article: Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion Open
Time Series Classification (TSC) has received much attention in the past two\ndecades and is still a crucial and challenging problem in data science and\nknowledge engineering. Indeed, along with the increasing availability of time\nseries…