When Gaussian process meets big data: A review of scalable GPs
The vast quantity of information brought by big data as well as the evolving computer
hardware encourages success stories in the machine learning community. In the …
hardware encourages success stories in the machine learning community. In the …
Advances in variational inference
Many modern unsupervised or semi-supervised machine learning algorithms rely on
Bayesian probabilistic models. These models are usually intractable and thus require …
Bayesian probabilistic models. These models are usually intractable and thus require …
[HTML][HTML] Trajectory-based differential expression analysis for single-cell sequencing data
Trajectory inference has radically enhanced single-cell RNA-seq research by enabling the
study of dynamic changes in gene expression. Downstream of trajectory inference, it is vital …
study of dynamic changes in gene expression. Downstream of trajectory inference, it is vital …
Dynamic genetic regulation of gene expression during cellular differentiation
BJ Strober, R Elorbany, K Rhodes, N Krishnan… - Science, 2019 - science.org
Genetic regulation of gene expression is dynamic, as transcription can change during cell
differentiation and across cell types. We mapped expression quantitative trait loci (eQTLs) …
differentiation and across cell types. We mapped expression quantitative trait loci (eQTLs) …
[HTML][HTML] Foundations of population-based SHM, Part I: Homogeneous populations and forms
Abstract In Structural Health Monitoring (SHM), measured data that correspond to an
extensive set of operational and damage conditions (for a given structure) are rarely …
extensive set of operational and damage conditions (for a given structure) are rarely …
Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves TH1/TFH fate bifurcation in malaria
Differentiation of naïve CD4+ T cells into functionally distinct T helper (TH) subsets is crucial
for the orchestration of immune responses. Because of extensive heterogeneity and multiple …
for the orchestration of immune responses. Because of extensive heterogeneity and multiple …
Data association in multiple object tracking: A survey of recent techniques
L Rakai, H Song, SJ Sun, W Zhang, Y Yang - Expert systems with …, 2022 - Elsevier
The advances of Visual object tracking tasks in computer vision have enabled a growing
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
value in its application to video surveillance, particularly in a traffic scenario. In recent years …
Physical layer authentication in wireless communication networks: A survey
Physical layer security (PLS) in wireless communication systems has attracted extensive
research attentions in recent years. Unlike cryptography-based methods applied in upper …
research attentions in recent years. Unlike cryptography-based methods applied in upper …
Machine learning regressors for solar radiation estimation from satellite data
L Cornejo-Bueno, C Casanova-Mateo, J Sanz-Justo… - Solar Energy, 2019 - Elsevier
In this paper we evaluate the performance of several Machine Learning regression
techniques in a problem of global solar radiation estimation from geostationary satellite data …
techniques in a problem of global solar radiation estimation from geostationary satellite data …
Probabilistic disease progression modeling to characterize diagnostic uncertainty: application to staging and prediction in Alzheimer's disease
Disease progression modeling (DPM) of Alzheimer's disease (AD) aims at revealing long
term pathological trajectories from short term clinical data. Along with the ability of providing …
term pathological trajectories from short term clinical data. Along with the ability of providing …