GPflow: A Gaussian process library using TensorFlow
…, T Nickson, K Fujii, A Boukouvalas… - Journal of Machine …, 2017 - jmlr.org
GPflow is a Gaussian process library that uses TensorFlow for its core computations and
Python for its front end. The distinguishing features of GPflow are that it uses variational …
Python for its front end. The distinguishing features of GPflow are that it uses variational …
[HTML][HTML] What to Do When K-Means Clustering Fails: A Simple yet Principled Alternative Algorithm
The K-means algorithm is one of the most popular clustering algorithms in current use as it is
relatively fast yet simple to understand and deploy in practice. Nevertheless, its use entails …
relatively fast yet simple to understand and deploy in practice. Nevertheless, its use entails …
[HTML][HTML] Benchmark and parameter sensitivity analysis of single-cell RNA sequencing clustering methods
Single-cell RNA-seq (scRNAseq) is a powerful tool to study heterogeneity of cells. Recently,
several clustering based methods have been proposed to identify distinct cell populations. …
several clustering based methods have been proposed to identify distinct cell populations. …
GrandPrix: scaling up the Bayesian GPLVM for single-cell data
Motivation The Gaussian Process Latent Variable Model (GPLVM) is a popular approach for
dimensionality reduction of single-cell data and has been used for pseudotime estimation …
dimensionality reduction of single-cell data and has been used for pseudotime estimation …
Predicting room occupancy with a single passive infrared (PIR) sensor through behavior extraction
Passive infrared sensors have widespread use in many applications, including motion
detectors for alarms, lighting systems and hand dryers. Combinations of multiple PIR sensors …
detectors for alarms, lighting systems and hand dryers. Combinations of multiple PIR sensors …
Adaptive sensor placement for continuous spaces
J Grant, A Boukouvalas, RR Griffiths… - International …, 2019 - proceedings.mlr.press
We consider the problem of adaptively placing sensors along an interval to detect
stochastically-generated events. We present a new formulation of the problem as a continuum-armed …
stochastically-generated events. We present a new formulation of the problem as a continuum-armed …
Additive Gaussian processes revisited
X Lu, A Boukouvalas… - … Conference on Machine …, 2022 - proceedings.mlr.press
Gaussian Process (GP) models are a class of flexible non-parametric models that have rich
representational power. By using a Gaussian process with additive structure, complex …
representational power. By using a Gaussian process with additive structure, complex …
Medication reconciliation by a pharmacy technician in a mental health assessment unit
…, R Culliford, C Fox, A Boukouvalas… - International journal of …, 2014 - Springer
Background Medication discrepancies are common when patients cross organisational
boundaries. However, little is known about the frequency of discrepancies within mental health …
boundaries. However, little is known about the frequency of discrepancies within mental health …
Age‐associated changes in long‐chain fatty acid profile during healthy aging promote pro‐inflammatory monocyte polarization via PPAR γ
C Pararasa, J Ikwuobe, S Shigdar, A Boukouvalas… - Aging cell, 2016 - Wiley Online Library
Differences in lipid metabolism associate with age‐related disease development and lifespan.
Inflammation is a common link between metabolic dysregulation and aging. Saturated …
Inflammation is a common link between metabolic dysregulation and aging. Saturated …
Transition from community dwelling to retirement village in older adults: cognitive functioning and psychological health outcomes
Supported living and retirement villages are becoming a significant option for older adults
with impairments, with independence concerns or for forward planning in older age, but …
with impairments, with independence concerns or for forward planning in older age, but …