The project for which Hulsebos received the grant is called DataLibra, which runs from 2024 to 2029. Over those five years, ...
An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...
We present a knowledge‐guided machine learning framework for operational hydrologic forecasting at the catchment scale. Our approach, a Factorized Hierarchical Neural Network (FHNN), has two main ...
Abstract: Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological ...
The final, formatted version of the article will be published soon. Background Biomedical knowledge graphs (KGs), such as the Data Distillery Knowledge Graph (DDKG), capture known relationships among ...
Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
A decorated UVA engineer collects early-career honors for his leadership and contributions to the data mining field.
Abstract: The current knowledge graph-based joint extraction method for hazard source identification in integrated utility tunnels has been applied to emergency response management, assisting ...
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