18 citations · 31 across the 5 of their papers we have counts for
Showing cs.LGShow all
2 papers · 1 filter
cs.LG2026
Aligning Molecular Graph Explanations with Chemical Identity via InChIfied Invariants
Emanuele Guidotti, Sara Puglioli
Obtaining consistent explanations for machine learning on molecular graphs requires predictions and attributions to be aligned with chemical identity. However, chemically equivalen…
cs.LG2021
An Explainable Probabilistic Classifier for Categorical Data Inspired to Quantum Physics
Emanuele Guidotti, Alfio Ferrara
This paper presents Sparse Tensor Classifier (STC), a supervised classification algorithm for categorical data inspired by the notion of superposition of states in quantum physics.…