Improved prediction accuracy for disease risk mapping using Gaussian
Process stacked generalisation

Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation

10 December 2016

Seth R Flaxman

Papers citing "Improved prediction accuracy for disease risk mapping using Gaussian Process stacked generalisation"

5 / 5 papers shown

Title
Diffusion Models for Inverse Problems in the Exponential Family Alessandro Micheli Mélodie Monod Samir Bhatt 66 0 0 09 Feb 2025
Actually Sparse Variational Gaussian Processes Harry Jake Cunningham Daniel Augusto R. M. A. de Souza So Takao Mark van der Wilk M. Deisenroth 16 5 0 11 Apr 2023
Energy consumption forecasting using a stacked nonparametric Bayesian approach Dilusha Weeraddana N. Khoa Lachlan OÑeil Weihong Wang C. Cai AI4TS 8 3 0 11 Nov 2020
A unified machine learning approach to time series forecasting applied to demand at emergency departments Michaela Vollmer Ben Glampson T. Mellan Swapnil Mishra Luca Mercuri Ceire Costello R. Klaber G. Cooke Seth Flaxman Samir Bhatt OOD AI4TS 15 40 0 13 Jul 2020
Scalable high-resolution forecasting of sparse spatiotemporal events with kernel methods: a winning solution to the NIJ "Real-Time Crime Forecasting Challenge" Seth Flaxman Michael Chirico Pau Pereira Charles E. Loeffler 13 50 0 09 Jan 2018