Crowd-sourced mosquito audio dataset for malaria research.
arXiv research
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Mobile phones detect mosquitoes for malaria research.
Paper proposes cost-sensitive detection for environmental acoustic sensing.
New model predicts mosquito activity using satellite data and machine learning.
Many real-world time-series analysis problems are characterised by scarce data. Solutions typically rely on hand-crafted features extracted from the time or frequency domain allied with classification or regression engines which condition on this (often low-dimensional) feature vector. The huge advances enjoyed by many…
Second order Sobolev metrics are a useful tool in the shape analysis of curves. In this paper we combine these metrics with varifold-based inexact matching to explore a new strategy of computing geodesics between unparametrized curves. We describe the numerical method used for solving the inexact matching problem, appl…
New PG samplers improve inference in coupled state-space models.
Enhanced Zika spread forecasting using topological data analysis.
Deep neural network improves malaria detection from red blood cells.
BCCNet combines biased crowd labels to train classifiers for disaster response.