Deep Landscape Features for Improving Vector-borne Disease Prediction

3 April 2019

Papers citing "Deep Landscape Features for Improving Vector-borne Disease Prediction"

4 / 4 papers shown

Title
A Fast Fourier Convolutional Deep Neural Network For Accurate and Explainable Discrimination Of Wheat Yellow Rust And Nitrogen Deficiency From Sentinel-2 Time-Series DataFrontiers in Plant Science (Front. Plant Sci.), 2023 Yue Shi Liangxiu Han Pablo González-Moreno Darren Dancey Wenjiang Huang Zhiqiang Zhang Yuanyuan Liu Mengning Huang Hongfu Miao Min Dai 118 5 0 29 Jun 2023
Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidentsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Ethan Weber Dim P. Papadopoulos Àgata Lapedriza Ferda Ofli Muhammad Imran Antonio Torralba 207 36 0 11 Jan 2022
Neural Networks for Dengue Prediction: A Systematic Review Kirstin Roster F. Rodrigues 157 8 0 22 Jun 2021
Detecting natural disasters, damage, and incidents in the wild Ethan Weber Nuria Marzo Dim P. Papadopoulos A. Biswas Àgata Lapedriza Ferda Ofli Muhammad Imran Antonio Torralba 142 62 0 20 Aug 2020