78 citations · 91 across the 9 of their papers we have counts for
9 papers
Monitoring geometrical properties of word embeddings for detecting the emergence of new topics
Clément Christophe, Julien Velcin, Jairo Cugliari +2
Slow emerging topic detection is a task between event detection, where we aggregate behaviors of different words on short period of time, and language evolution, where we monitor t…
Simultaneous predictive bands for functional time series using minimum entropy sets
Nicolás Hernández, Jairo Cugliari, Julien Jacques
Functional Time Series are sequences of dependent random elements taking values on some functional space. Most of the research on this domain is focused on producing a predictor ab…
Transfer Learning for Linear Regression: a Statistical Test of Gain
David Obst, Badih Ghattas, Jairo Cugliari +3
Transfer learning, also referred as knowledge transfer, aims at reusing knowledge from a source dataset to a similar target one. While many empirical studies illustrate the benefit…
Textual Data for Time Series Forecasting
David Obst, Badih Ghattas, Sandra Claudel +3
While ubiquitous, textual sources of information such as company reports, social media posts, etc. are hardly included in prediction algorithms for time series, despite the relevan…
How to detect novelty in textual data streams? A comparative study of existing methods
Clément Christophe, Julien Velcin, Jairo Cugliari +2
Since datasets with annotation for novelty at the document and/or word level are not easily available, we present a simulation framework that allows us to create different textual…
Bagging of Density Estimators
Mathias Bourel, Jairo Cugliari
In this work we give new density estimators by averaging classical density estimators such as the histogram, the frequency polygon and the kernel density estimators obtained over d…