8 citations · 18 across the 6 of their papers we have counts for
3 papers · 1 filter
Automatic Feature Engineering for Time Series Classification: Evaluation and Discussion
Aurélien Renault, Alexis Bondu, Vincent Lemaire +1
Time Series Classification (TSC) has received much attention in the past two decades and is still a crucial and challenging problem in data science and knowledge engineering. Indee…
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…
Predictive K-means with local models
Vincent Lemaire, Oumaima Alaoui Ismaili, Antoine Cornuéjols +1
Supervised classification can be effective for prediction but sometimes weak on interpretability or explainability (XAI). Clustering, on the other hand, tends to isolate categories…