7 papers
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…
Interpretable Feature Construction for Time Series Extrinsic Regression
Dominique Gay, Alexis Bondu, Vincent Lemaire +1
Supervised learning of time series data has been extensively studied for the case of a categorical target variable. In some application domains, e.g., energy, environment and healt…
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…