Co-occurring keywords · papers mentioning both
Papers
Pareto-Optimal Probabilistic Explanations: Balancing Cognitive Constraints and User Preferences
UAI 2026
Most General Explanations of Tree Ensembles
IJCAI 2025
Towards Trustable SHAP Scores
AAAI 2025
Using Submodular Optimization to Approximate Minimum-Size Abductive Path Explanations for Tree-Based Models
UAI 2025
Axiomatic Aggregations of Abductive Explanations
AAAI 2024
Computational Argumentation: Reasoning, Dynamics, and Supporting Explainability
IJCAI 2024
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories
IJCAI 2024
On the Computation of Example-Based Abductive Explanations for Random Forests
IJCAI 2024
Approximating probabilistic explanations via supermodular minimization
UAI 2023
Cardinality-Minimal Explanations for Monotonic Neural Networks
IJCAI 2023
Computing Abductive Explanations for Boosted Regression Trees
IJCAI 2023
Computing Abductive Explanations for Boosted Trees
AISTATS 2023
Explaining Random Forests Using Bipolar Argumentation and Markov Networks
AAAI 2023
Leveraging Argumentation for Generating Robust Sample-based Explanations
IJCAI 2023
On Preferred Abductive Explanations for Decision Trees and Random Forests
IJCAI 2022
On the Complexity of Enumerating Prime Implicants from Decision-DNNF Circuits
IJCAI 2022