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Chapter and Conference Paper
Effects of Fairness and Explanation on Trust in Ethical AI
AI ethics has been a much discussed topic in recent years. Fairness and explainability are two important ethical principles for trustworthy AI. In this paper, the impact of AI explainability and fairness on us...
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Chapter and Conference Paper
Discovering Causal Structures from Time Series Data via Enhanced Granger Causality
Granger causality has been applied to explore predictive causal relations among multiple time series in various fields. However, the existence of non-stationary distributional changes among the time series var...
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Chapter and Conference Paper
Quantified Coalition Logic for BDI-Agents: Completeness and Complexity
This paper introduces a multi-dimensional modal logic of Quantified Coalition Logic of Beliefs, Desires and Intentions (QCLBDI) to reason about how agents’ mental attitudes evolve by cooperation in game-like m...
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Chapter and Conference Paper
An Improved Two-Stage Camera Calibration Method Based on Particle Swarm Optimization
According to the calibration of binocular vision, an improved two-stage camera calibration method involved with multi-distortion coefficients is introduced in this paper. At the first stage, the 3D points’ coo...
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Chapter and Conference Paper
Constraint-Based Mining of Web Page Associations
The use of association rule mining carries the attendant challenge of focusing on appropriate data subsets so as to reduce the volume of association rules produced. The intent is to heuristically identify “int...