13 citations · 17 across the 4 of their papers we have counts for
4 papers
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes
Steven Reece, Roman Garnett, Michael Osborne +1
This paper proposes a novel Gaussian process approach to fault removal in time-series data. Fault removal does not delete the faulty signal data but, instead, massages the fault fr…
String Gaussian Process Kernels
Yves-Laurent Kom Samo, Stephen Roberts
We introduce a new class of nonstationary kernels, which we derive as covariance functions of a novel family of stochastic processes we refer to as string Gaussian processes (strin…
Detecting bird sound in unknown acoustic background using crowdsourced training data
Timos Papadopoulos, Stephen Roberts, Kathy Willis
Biodiversity monitoring using audio recordings is achievable at a truly global scale via large-scale deployment of inexpensive, unattended recording stations or by large-scale crow…
Bayesian one-mode projection for dynamic bipartite graphs
Ioannis Psorakis, Iead Rezek, Zach Frankel +1
We propose a Bayesian methodology for one-mode projecting a bipartite network that is being observed across a series of discrete time steps. The resulting one mode network captures…