8 citations · 18 across the 6 of their papers we have counts for
5 papers · 1 filter
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 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…