1 citations · 1 across the 3 of their papers we have counts for
4 papers
Challenges of Explainability in Continual Learning for Time Series Forecasting
Quentin Besnard, Emmanuel Doumard, Nicolas Labroche +2
Deep learning models have shown strong potential for time series forecasting, yet their deployment in real-world environmental monitoring remains challenging due to non-stationary…
Experimental study of time series forecasting methods for groundwater level prediction
Michael Franklin Mbouopda, Thomas Guyet, Nicolas Labroche +1
Groundwater level prediction is an applied time series forecasting task with important social impacts to optimize water management as well as preventing some natural disasters: for…
To Be or Not To Be a Verbal Multiword Expression: A Quest for Discriminating Features
Caroline Pasquer, Agata Savary, Jean-Yves Antoine +3
Automatic identification of mutiword expressions (MWEs) is a pre-requisite for semantically-oriented downstream applications. This task is challenging because MWEs, especially verb…
A Subjective Interestingness measure for Business Intelligence explorations
Alexandre Chanson, Ben Crulis, Nicolas Labroche +1
This paper addresses the problem of defining a subjective interestingness measure for BI exploration. Such a measure involves prior modeling of the belief of the user. The complexi…