most citedAsteroid Taxonomy from Cluster Analysis of Spectrometry and Albedo

103 citations

5 papers

cs.LG2022

Explainability as statistical inference

Hugo Henri Joseph Senetaire, Damien Garreau, Jes Frellsen +1

A wide variety of model explanation approaches have been proposed in recent years, all guided by very different rationales and heuristics. In this paper, we take a new route and ca…

cs.CL2022★ 8 cited

Extending Logic Explained Networks to Text Classification

Rishabh Jain, Gabriele Ciravegna, Pietro Barbiero +3

Recently, Logic Explained Networks (LENs) have been proposed as explainable-by-design neural models providing logic explanations for their predictions. However, these models have o…

cs.SI2022★ 1 cited

Embedded Topics in the Stochastic Block Model

Rémi Boutin, Charles Bouveyron, Pierre Latouche

Communication networks such as emails or social networks are now ubiquitous and their analysis has become a strategic field. In many applications, the goal is to automatically extr…

astro-ph.EP2022★ 103 cited

Asteroid Taxonomy from Cluster Analysis of Spectrometry and Albedo

Max Mahlke, Benoit Carry, Pierre-Alexandre Mattei

The classification of the minor bodies of the Solar System based on observables has been continuously developed and iterated over the past 40 years. While prior iterations followed…

stat.ML2022★ 1 cited

Autoregressive based Drift Detection Method

Mansour Zoubeirou A Mayaki, Michel Riveill

In the classic machine learning framework, models are trained on historical data and used to predict future values. It is assumed that the data distribution does not change over ti…