11 citations · 16 across the 3 of their papers we have counts for
3 papers
stat.AP2019
Model ensembles of artificial neural networks and support vector regression for improved accuracy in the prediction of vegetation conditions
Chrisgone Adede, Robert Oboko, Peter W. Wagacha +1
There is increasing need for highly predictive and stable models for the prediction of drought as an aid to better planning for drought response. This paper presents the performanc…
cs.CY2019★ 5 cited
Abnormality Detection in Musculoskeletal Radiographs with Convolutional Neural Networks(Ensembles) and Performance Optimization
Dennis Banga, Peter Waiganjo
Musculoskeletal conditions affect more than 1.7 billion people worldwide based on a study by Global Burden Disease, and they are the second greatest cause of disability[1,2]. The d…
stat.AP2019★ 11 cited
A mixed model approach to drought prediction using artificial neural networks: Case of an operational drought monitoring environment
Chrisgone Adede, Robert Oboko, Peter Wagacha +1
Droughts, with their increasing frequency of occurrence, continue to negatively affect livelihoods and elements at risk. For example, the 2011 in drought in east Africa has caused…