Trading Complexity for Sparsity in Random Forest Explanations

11 August 2021

Papers citing "Trading Complexity for Sparsity in Random Forest Explanations"

10 / 10 papers shown

Title
On the Complexity of Global Necessary Reasons to Explain Classification M. Calautti Enrico Malizia Cristian Molinaro FAtt 63 0 0 12 Jan 2025
Abductive explanations of classifiers under constraints: Complexity and properties Martin Cooper Leila Amgoud 32 7 0 18 Sep 2024
Axiomatic Characterisations of Sample-based Explainers Leila Amgoud Martin Cooper Salim Debbaoui FAtt 47 1 0 09 Aug 2024
On the Trade-off between the Number of Nodes and the Number of Trees in a Random Forest Tatsuya Akutsu A. Melkman Atsuhiro Takasu 29 0 0 16 Dec 2023
Logic for Explainable AI Adnan Darwiche 43 8 0 09 May 2023
Finding Minimum-Cost Explanations for Predictions made by Tree Ensembles John Törnblom Emil Karlsson Simin Nadjm-Tehrani FAtt 64 0 0 16 Mar 2023
SpArX: Sparse Argumentative Explanations for Neural Networks [Technical Report] Hamed Ayoobi Nico Potyka Francesca Toni 26 18 0 23 Jan 2023
Logic-Based Explainability in Machine Learning Sasha Rubin LRM XAI 57 39 0 24 Oct 2022
Computing Abductive Explanations for Boosted Trees Gilles Audemard Jean-Marie Lagniez Pierre Marquis N. Szczepanski 44 12 0 16 Sep 2022
Rectifying Mono-Label Boolean Classifiers S. Coste-Marquis Pierre Marquis 40 0 0 17 Jun 2022