12 citations · 33 across the 8 of their papers we have counts for
8 papers
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…
Contrastive Representations for Label Noise Require Fine-Tuning
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
In this paper we show that the combination of a Contrastive representation with a label noise-robust classification head requires fine-tuning the representation in order to achieve…
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…
From Weakly Supervised Learning to Biquality Learning: an Introduction
Pierre Nodet, Vincent Lemaire, Alexis Bondu +2
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies". In WSL use cas…
Importance Reweighting for Biquality Learning
Pierre Nodet, Vincent Lemaire, Alexis Bondu +1
The field of Weakly Supervised Learning (WSL) has recently seen a surge of popularity, with numerous papers addressing different types of "supervision deficiencies", namely: poor q…
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…