16 citations · 59 across the 12 of their papers we have counts for
12 papers
Learning complexity to guide light-induced self-organized nanopatterns
Eduardo Brandao, Anthony Nakhoul, Stefan Duffner +7
Ultrafast laser irradiation can induce spontaneous self-organization of surfaces into dissipative structures with nanoscale reliefs. These surface patterns emerge from symmetry-bre…
Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound
Valentina Zantedeschi, Paul Viallard, Emilie Morvant +4
We investigate a stochastic counterpart of majority votes over finite ensembles of classifiers, and study its generalization properties. While our approach holds for arbitrary dist…
Mean Oriented Riesz Features for Micro Expression Classification
Carlos Arango Duque, Olivier Alata, Rémi Emonet +2
Micro-expressions are brief and subtle facial expressions that go on and off the face in a fraction of a second. This kind of facial expressions usually occurs in high stake situat…
An Adjusted Nearest Neighbor Algorithm Maximizing the F-Measure from Imbalanced Data
Rémi Viola, Rémi Emonet, Amaury Habrard +3
In this paper, we address the challenging problem of learning from imbalanced data using a Nearest-Neighbor (NN) algorithm. In this setting, the minority examples typically belong…
Learning Interpretable Shapelets for Time Series Classification through Adversarial Regularization
Yichang Wang, Rémi Emonet, Elisa Fromont +4
Times series classification can be successfully tackled by jointly learning a shapelet-based representation of the series in the dataset and classifying the series according to thi…
End-to-End Learned Early Classification of Time Series for In-Season Crop Type Mapping
Marc Rußwurm, Nicolas Courty, Rémi Emonet +3
Remote sensing satellites capture the cyclic dynamics of our Planet in regular time intervals recorded in satellite time series data. End-to-end trained deep learning models use th…