8 citations · 18 across the 6 of their papers we have counts for
6 papers
ml_edm package: a Python toolkit for Machine Learning based Early Decision Making
Aurélien Renault, Youssef Achenchabe, Édouard Bertrand +4
\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 research…
Open challenges for Machine Learning based Early Decision-Making research
Alexis Bondu, Youssef Achenchabe, Albert Bifet +6
More and more applications require early decisions, i.e. taken as soon as possible from partially observed data. However, the later a decision is made, the more its accuracy tends…
When to Classify Events in Open Times Series?
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols +1
In numerous applications, for instance in predictive maintenance, there is a pression to predict events ahead of time with as much accuracy as possible while not delaying the decis…
Early and Revocable Time Series Classification
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols +1
Many approaches have been proposed for early classification of time series in light of itssignificance in a wide range of applications including healthcare, transportation and fi-n…
Early Classification of Time Series is Meaningful
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols +1
Many approaches have been proposed for early classification of time series in light of its significance in a wide range of applications including healthcare, transportation and fin…
Early Classification of Time Series. Cost-based Optimization Criterion and Algorithms
Youssef Achenchabe, Alexis Bondu, Antoine Cornuéjols +1
An increasing number of applications require to recognize the class of an incoming time series as quickly as possible without unduly compromising the accuracy of the prediction. In…