Showing results (1-10 of 9) with videos related to
Sort By:
Pageof 1
IEEE Transactions on Neural Networks and Learning Systems|June 17, 2025
Bayesian Neural Networks With Physics-Informed Priors With Application to Boundary Layer VelocityLuca Menicali, David H Richter, Stefano CastruccioBiometrics|January 24, 2018
A scalable multi-resolution spatio-temporal model for brain activation and connectivity in fMRI dataStefano Castruccio, Hernando Ombao, Marc G GentonApplied Optics|October 6, 2021
Spatial modeling of mid-infrared spectral data with thermal compensation using integrated nested Laplace approximationBernardo Aquino, Stefano Castruccio, Vijay Gupta, et al.Environmental Research|June 2, 2022
Information entropy tradeoffs for efficient uncertainty reduction in estimates of air pollution mortalityMariana Alifa, Stefano Castruccio, Diogo Bolster, et al.Geohealth|October 2, 2023
Uncertainty Reduction and Environmental Justice in Air Pollution Epidemiology: The Importance of Minority RepresentationMariana Alifa, Stefano Castruccio, Diogo Bolster, et al.The Lancet. Planetary Health|September 25, 2020
Short-term and long-term health impacts of air pollution reductions from COVID-19 lockdowns in China and Europe: a modelling studyPaolo Giani, Stefano Castruccio, Alessandro Anav, et al.Environmental Science & Technology|May 19, 2026
A Spatiotemporal Physics-Motivated State-Space Model of Lake Temperature ProfilesLuca Menicali, Diogo Bolster, David H Richter, et al.Environmetrics|May 18, 2023
An illustration of model agnostic explainability methods applied to environmental dataChristopher K Wikle, Abhirup Datta, Bhava Vyasa Hari, et al.Environmetrics|February 28, 2025
Assessing predictability of environmental time series with statistical and machine learning modelsMatthew Bonas, Abhirup Datta, Christopher K Wikle, et al.Pageof 1