116 citations · 122 across the 7 of their papers we have counts for
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cs.AI2025
Actionable Counterfactual Explanations Using Bayesian Networks and Path Planning with Applications to Environmental Quality Improvement
Enrique Valero-Leal, Pedro Larrañaga, Concha Bielza
Counterfactual explanations study what should have changed in order to get an alternative result, enabling end-users to understand machine learning mechanisms with counterexamples.…
cs.AI2013★ 116 cited
Combinatorial Optimization by Learning and Simulation of Bayesian Networks
Pedro Larrañaga, Ramon Etxeberria, Jose A. Lozano +1
This paper shows how the Bayesian network paradigm can be used in order to solve combinatorial optimization problems. To do it some methods of structure learning from data and simu…