Multitask Gaussian processes for multivariate physiological time-series analysis.

Multitask Gaussian processes for multivariate physiological time-series analysis.

Gaussian process (GP) models are a flexible means of performing nonparametric Bayesian regression. However, GP models in healthcare are often only used to model a single univariate output time series, denoted as single-task GPs (STGP). Due to an increasing prevalence of sensors in healthcare setti...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy:	Dürichen, R, Pimentel, M, Clifton, L, Schweikard, A, Clifton, D
Format:	Journal article
Język:	eng
Wydane:	IEEE 2015

Podobne zapisy

Multi-task Gaussian process models for biomedical applications
od: Durichen, R, i wsp.
Wydane: (2014)

A unified approach for respiratory motion prediction and correlation with multi-task Gaussian Processes
od: Dürichen, R, i wsp.
Wydane: (2014)

Probabilistic estimation of respiratory rate using gaussian processes
od: Pimentel, M, i wsp.
Wydane: (2013)

Gaussian Processes for Monitoring Patients with Mobile Sensors
od: Clifton, D, i wsp.
Wydane: (2015)

Gaussian process regression in vital-sign early warning systems.
od: Clifton, L, i wsp.
Wydane: (2012)

Gaussian process regression in vital-sign early warning systems.
od: Clifton, L, i wsp.
Wydane: (2012)

Gaussian Processes for Personalized e-Health Monitoring With Wearable Sensors
od: Clifton, L, i wsp.
Wydane: (2013)

Gaussian processes for personalized e-health monitoring with wearable sensors
od: Clifton, L, i wsp.
Wydane: (2012)

Bayesian Gaussian processes for identifying the deteriorating patient
od: Colopy, G, i wsp.
Wydane: (2016)

Bayesian optimisation of Gaussian processes for identifying the deteriorating patient
od: Colopy, G, i wsp.
Wydane: (2017)

Patient-specific physiological monitoring and prediction using structured Gaussian processes
od: Zhu, T, i wsp.
Wydane: (2019)

State-space approximations to Gaussian processes for patient vital-sign monitoring in computationally-constrained clinical environments
od: Colopy, G, i wsp.
Wydane: (2016)

Efficient Prediction of Quantum Chemical Properties with Multitask Gaussian Process Regression
od: Fisher, Katharine
Wydane: (2023)

Probabilistic Detection of Vital Sign Abnormality with Gaussian Process Regression
od: Wong, D, i wsp.
Wydane: (2012)

Comparison of parametric and non-parametric Bayesian inference for fusing sensory estimates in physiological time-series analysis
od: Zhu, T, i wsp.
Wydane: (2021)

Gaussian processes for personalized interpretable volatility metrics in the step-down ward
od: Colopy, G, i wsp.
Wydane: (2019)

Comparison of parametric and non‐parametric Bayesian inference for fusing sensory estimates in physiological time‐series analysis
od: Tingting Zhu, i wsp.
Wydane: (2021-04-01)

Gaussian processes for time-series modelling.
od: Roberts, S, i wsp.
Wydane: (2013)

Gaussian Process Regression for Astronomical Time Series
od: Aigrain, S, i wsp.
Wydane: (2023)

Robust nonlinear causality analysis of nonstationary multivariate physiological time series
od: Schäck, Tim, i wsp.
Wydane: (2020)

Personalised patient monitoring in haemodialysis using hierarchical Gaussian processes
od: Zhu, T, i wsp.
Wydane: (2017)

Modelling physiological deterioration in post-operative patient vital-sign data
od: Pimentel, M, i wsp.
Wydane: (2013)

Modelling physiological deterioration in post-operative patient vital-sign data
od: Pimentel, M, i wsp.
Wydane: (2013)

Learning Kullback-Leibler Divergence-Based Gaussian Model for Multivariate Time Series Classification
od: Gongqing Wu, i wsp.
Wydane: (2019-01-01)

College Students’ Psychological Health Analysis Based on Multitask Gaussian Graphical Models
od: Qiang Tian, i wsp.
Wydane: (2021-01-01)

Hetero-Dimensional Multitask Neuroevolution for Chaotic Time Series Prediction
od: Daoqing Zhang, i wsp.
Wydane: (2020-01-01)

Novelty detection with multivariate extreme value statistics
od: Clifton, D, i wsp.
Wydane: (2010)

Online variational Gaussian process for time series data
od: Weidong Wang, i wsp.
Wydane: (2024-12-01)

Data pre-processing using neural processes for modelling personalised vital-sign time-series data
od: Sharma, P, i wsp.
Wydane: (2021)

Disentangling Time-series Spectra with Gaussian Processes: Applications to Radial Velocity Analysis
od: Czekala, Ian, i wsp.
Wydane: (2017)

mgpr: An R package for multivariate Gaussian process regression
od: Petri Varvia, i wsp.
Wydane: (2023-12-01)

Probabilistic Patient Monitoring with Multivariate, Multimodal Extreme Value Theory
od: Hugueny, S, i wsp.
Wydane: (2011)

Optimising classifiers for the detection of physiological deterioration in patient vital-sign data
od: Khalid, S, i wsp.
Wydane: (2011)

Elements of multivariate time series analysis /
od: 282324 Reinsel, Gregory C.
Wydane: (1993)

Analytic models of multitask processes
Wydane: (2002)

Analytic models of multitask processes
Wydane: (2002)

Multiscale Information Decomposition: Exact Computation for Multivariate Gaussian Processes
od: Luca Faes, i wsp.
Wydane: (2017-08-01)

Multivariate Interpolation of Wind Field Based on Gaussian Process Regression
od: Miao Feng, i wsp.
Wydane: (2018-05-01)

Time series analysis : univariate and multivariate methods /
od: 298744 Wei, William W. S.
Wydane: (2006)

Time series analysis : univariate and multivariate methods /
od: 443714 Wei, William
Wydane: (2006)