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cs.LG2026
Choosing a parallel heterogeneous ensemble method for tabular classification
Vassili Maillet, Gustavo, Angulo +1
Parallel ensemble methods were compared on small-to-medium tabular classification tasks drawn from OpenML CC18. A set of ``best practice'' recommendations on the use of ensemb…
cs.LG2022
An Analytical Approach to Compute the Exact Preimage of Feed-Forward Neural Networks
Théo Nancy, Vassili Maillet, Johann Barbier
Neural networks are a convenient way to automatically fit functions that are too complex to be described by hand. The downside of this approach is that it leads to build a black-bo…