Explanations have gained an increasing level of interest in the AI and Machine Learning
(ML) communities in order to improve model transparency and allow users to form a mental …

Juice is an open-source Julia package providing tools for logic and probabilistic reasoning
and learning based on logic circuits (LCs) and probabilistic circuits (PCs). It provides a …

To explain the decision of any regression and classification model, we extend the notion of
probabilistic sufficient explanations (P-SE). For each instance, this approach selects the …

While Shapley Values (SV) are one of the gold standard for interpreting machine learning
models, we show that they are still poorly understood, in particular in the presence of …

The main objective of this thesis is to increase trust in Machine Learning models by
developing tools capable of explaining their predictions and quantifying the associated …

MACHINE LEARNING ANALYSIS OF CAVE MINE PILLAR COLLAPSES Page 1 i MACHINE
LEARNING ANALYSIS OF CAVE MINE PILLAR COLLAPSES by Ricardo Quevedo A thesis …