12 citations · 45 across the 20 of their papers we have counts for
4 papers · 1 filter
Mislabeled examples detection viewed as probing machine learning models: concepts, survey and extensive benchmark
Thomas George, Pierre Nodet, Alexis Bondu +1
Mislabeled examples are ubiquitous in real-world machine learning datasets, advocating the development of techniques for automatic detection. We show that most mislabeled detection…
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…
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…
Early Detection of Critical Urban Events using Mobile Phone Network Data
Pierre Lemaire, Angelo Furno, Stefania Rubrichi +5
Network Signalling Data (NSD) have the potential to provide continuous spatio-temporal information about the presence, mobility, and usage patterns of cell phone services by indivi…