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eXplainable AI
All pages tagged with
eXplainable AI
Abduction-Based Explanations for ML Models
EXTRAAMAS 2020
EXTRAAMAS 2022
EXTRAAMAS 2023
XAI@JAAMAS
xAI 2023
XAI.it 2021
XAI.it 2022
XAI.it 2023
Position Paper: On the Role of Abductive Reasoning in Semantic Image Segmentation
An Abstract Framework for Agent-Based Explanations in AI
Agent-Based Explanations in AI: Towards an Abstract Framework
Argumentation and Logic Programming for Explainable and Ethical AI
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors
Explainable Clustering with CREAM
Unveiling Opaque Predictors via Explainable Clustering: The CReEPy Algorithm
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation
Expectation: Personalized Explainable Artificial Intelligence for Decentralized Agents with Heterogeneous Knowledge
Not just for humans: Explanation for agent-to-agent communication
Towards Explainable Visionary Agents: License to Dare and Imagine
Knowledge injection of Datalog rules via Neural Network Structuring with KINS
LPaaS as Micro-intelligence: Enhancing IoT with Symbolic Reasoning
Injecting (Micro)Intelligence in the IoT: Logic-based Approaches for (M)MAS
Neuro-symbolic Computation for XAI: Towards a Unified Model
Preface
Symbolic knowledge extraction from opaque ML predictors in PSyKE: Platform design & experiments
On the Design of PSyKE: A Platform for Symbolic Knowledge Extraction
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques
Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: a Systematic Literature Review
Symbolic Knowledge Extraction for Explainable Nutritional Recommenders
Achieving Complete Coverage with Hypercube-Based Symbolic Knowledge-Extraction Techniques
Explainable and Ethical AI: A Perspective on Argumentation and Logic Programming
Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI
Explanation in artificial intelligence: Insights from the social sciences
On the integration of symbolic and sub-symbolic techniques for XAI: A survey
Towards XMAS: eXplainability through Multi-Agent Systems
On the role of abductive reasoning in semantic image segmentation
An Abstract Framework for Agent-Based Explanations in AI
Agent-Based Explanations in AI: Towards an Abstract Framework
Argumentation and Logic Programming for Explainable and Ethical AI
Bottom-Up and Top-Down Workflows for Hypercube- and Clustering-based Knowledge Extractors
Explainable Clustering with CREAM
ExACT Explainable Clustering: Unravelling the Intricacies of Cluster Formation
Not just for humans: Explanation for agent-to-agent communication
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score
Symbolic Knowledge-Extraction Evaluation Metrics: The FiRe Score
Neuro-symbolic Computation for XAI: Towards a Unified Model
Explainable Pervasive Intelligence with Self-explaining Agents
Symbolic Transfer Learning through Knowledge Manipulation Methods
eXplainable Artificial Intelligence (XAI): A Gentle Introduction
eXplainable Artificial Intelligence (XAI): A Gentle Introduction
Explainability through argumentation in logic programming
On the Integration of Symbolic and Sub-symbolic – Explaining by Design
Interpretable Narrative Explanation for ML Predictors with LP: A Case Study for XAI
Interpretable Prediction of Galactic Cosmic-Ray Short-Term Variations with Artificial Neural Networks
Symbolic Knowledge Extraction Algorithms Analysis
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eXplainable AI
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