1 citations · 1 across the 4 of their papers we have counts for
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End-to-end Early Classification of Time Series in Non-Stationary Environments
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols +1
Early Classification of Time Series (ECTS) requires making accurate decisions as early as possible in inherently online and evolving environments. Yet, most existing methods assume…
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…
Alert: Learning Trigger Functions for Early Classification of Time Series using Deep-RL
Aurélien Renault, Alexis Bondu, Antoine Cornuéjols +1
Early Classification of Time Series (ECTS) is vital in fields like industrial monitoring and medical triage, where quick and accurate predictions are essential. One of the core cha…
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…