Tag: explainable AI
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Explainable Clustering with Optimized Filtered Patterns
Discover an explainable clustering method using optimized filtered patterns to reduce redundancy and boost computational efficiency in machine learning.
TRUST Agents: Multi-Agent Framework for Fake News Detection
Discover TRUST Agents, a multi-agent system enhancing fake news detection with explainable verification and logic-based claim reasoning.
Activation Steering in AI: From Attribution to Action
Explore how activation steering transforms AI explainability from insight to actionable intervention for better model interpretability and debugging.
RAG-KT: Explainable Cross-Platform Knowledge Tracing Model
Discover RAG-KT, a cross-platform knowledge tracing model using multi-view fusion for accurate, interpretable student performance predictions.
Explainable AI Planning for Hybrid Systems
Explore explainable AI planning techniques for hybrid systems to enhance transparency, trust, and safety in autonomous and complex environments.