Recent work demonstrated the existence of Boolean functions for which Sh...
In the practical deployment of machine learning (ML) models, missing dat...
In the quest for Explainable Artificial Intelligence (XAI) one of the
qu...
In contrast with ad-hoc methods for eXplainable Artificial Intelligence
...
This paper develops a rigorous argument for why the use of Shapley value...
The most widely studied explainable AI (XAI) approaches are unsound. Thi...
Given a machine learning (ML) model and a prediction, explanations can b...
Despite the progress observed with model-agnostic explainable AI (XAI), ...
The rise of AI methods to make predictions and decisions has led to a
pr...
Decision trees (DTs) epitomize the ideal of interpretability of machine
...
Decision trees (DTs) embody interpretable classifiers. DTs have been
adv...
When reasoning about explanations of Machine Learning (ML) classifiers, ...
Knowledge compilation (KC) languages find a growing number of practical ...
Recent work has shown that not only decision trees (DTs) may not be
inte...
Recent work proposed δ-relevant inputs (or sets) as a probabilistic
expl...
In many classification tasks there is a requirement of monotonicity.
Con...
Random Forest (RFs) are among the most widely used Machine Learning (ML)...
Decision lists (DLs) find a wide range of uses for classification proble...
Machine Reassignment is a challenging problem for constraint programming...
Machine learning (ML) is ubiquitous in modern life. Since it is being
de...
Explanations of Machine Learning (ML) models often address a 'Why?' ques...
Decision trees (DTs) epitomize what have become to be known as interpret...
Recent work proposed the computation of so-called PI-explanations of Nai...
This paper proposes a tentative and original survey of meeting points be...
Recent years have witnessed a fast-growing interest in computing explana...
The growing range of applications of Machine Learning (ML) in a multitud...
Detection and elimination of redundant clauses from propositional formul...
Boolean optimization finds a wide range of application domains, that
mot...
Boolean Satisfiability (SAT) solvers are now routinely used in the
verif...
When configuring customizable software, it is useful to provide interact...
This short note reviews briefly three algorithms for finding the set of
...