26 citations · 43 across the 11 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.LG2023★ 1 cited
Minimal Learning Machine for Multi-Label Learning
Joonas Hämäläinen, Antoine Hubermont, Amauri Souza +3
Distance-based supervised method, the minimal learning machine, constructs a predictive model from data by learning a mapping between input and output distance matrices. In this pa…
cond-mat.mtrl-sci2023★ 1 cited
Knowledge Discovery from Atomic Structures using Feature Importances
Joakim Linja, Joonas Hämäläinen, Antti Pihlajamäki +4
Molecular-level understanding of the interactions between the constituents of an atomic structure is essential for designing novel materials in various applications. This need goes…