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Explores variable selection through filtering and correlation methods in machine learning, emphasizing relevance quantification and relationship measurement with the label.
Explores statistical symmetries in random fields, emphasizing stationarity and homogeneity under various transformations and their practical implications.
Explores crowdsourcing high-resolution air quality sensing in urban areas through the OpenSense II project, covering impacts, system vision, deployments, datasets, and correlations with health data.
Explores corals as proxies for past climate, focusing on their geochemical variables and precision, using microanalytical tools and evaluating trace-element chemistry differences.
