63 citations · 98 across the 13 of their papers we have counts for
13 papers
LCE: An Augmented Combination of Bagging and Boosting in Python
Kevin Fauvel, Élisa Fromont, Véronique Masson +2
lcensemble is a high-performing, scalable and user-friendly Python package for the general tasks of classification and regression. The package implements Local Cascade Ensemble (LC…
Unique in the Smart Grid -The Privacy Cost of Fine-Grained Electrical Consumption Data
Antonin Voyez, Tristan Allard, Gildas Avoine +3
The collection of electrical consumption time series through smart meters grows with ambitious nationwide smart grid programs. This data is both highly sensitive and highly valuabl…
On the benefits of self-taught learning for brain decoding
Elodie Germani, Elisa Fromont, Camille Maumet
Context. We study the benefits of using a large public neuroimaging database composed of fMRI statistic maps, in a self-taught learning framework, for improving brain decoding on n…
UniRank: Unimodal Bandit Algorithm for Online Ranking
Camille-Sovanneary Gauthier, Romaric Gaudel, Elisa Fromont
We tackle a new emerging problem, which is finding an optimal monopartite matching in a weighted graph. The semi-bandit version, where a full matching is sampled at each iteration,…
Discovering Useful Compact Sets of Sequential Rules in a Long Sequence
Erwan Bourrand, Luis Galárraga, Esther Galbrun +2
We are interested in understanding the underlying generation process for long sequences of symbolic events. To do so, we propose COSSU, an algorithm to mine small and meaningful se…
Localize to Classify and Classify to Localize: Mutual Guidance in Object Detection
Heng Zhang, Elisa Fromont, Sébastien Lefevre +1
Most deep learning object detectors are based on the anchor mechanism and resort to the Intersection over Union (IoU) between predefined anchor boxes and ground truth boxes to eval…