Explainable Machine Learning
Evaluation of importance estimators in deep learning classifiers for Computed Tomography
Integration of local and global features explanation with global rules extraction and generation tools
ReCCoVER: Detecting Causal Confusion for Explainable Reinforcement Learning
Smartphone based grape leaf disease diagnosis and remedial system Assisted with explanations
Explainable Neuro-Symbolic AI
Recent Neural-Symbolic Approaches to ILP Based on Templates
On the Design of PSyKI: a Platform for Symbolic Knowledge Injection into Sub-Symbolic Predictors
Explainable Agents
The Mirror Agent Model: a Bayesian Architecture for Interpretable Agent Behavior
Semantic Web-based Interoperability for Intelligent Agents with PsyKE
Case-based reasoning via comparing the strength order of features
XAI Measures and Metrics
Explainability Metrics and Properties for Counterfactual Explanation Methods
The use of partial order relations and measure theory in developing objective measures of explainability
AI & Law
An Evaluation of Methodologies for Legal Formalization
Risk and Exposure of XAI in Persuasion and Argumentation: The case of Manipulation
Requirements for Tax XAI under Constitutional Principles and Human Rights.