Kentucky State University

Differentiable Spatial Autocorrelation in End-to-End Deep Learning for Hedonic Agricultural Land Pricing

We propose an end-to-end differentiable framework for hedonic agricultural land pricing that integrates deep learning-based land cover classification with spatial econometric modeling into a single neural architecture. Traditional hedonic pricing approaches typically separate lan...

Designing singing syllabi with virtual avatars: AI-assisted syllabus reauthoring

Traditional syllabi often function as static reference documents rather than engaging introductions to a course. In practical teaching, we observe that few students thoroughly read or fully comprehend the information provided in traditional, text-based course syllabi, which can l...