about
A host-based RT-PCR gene expression signature to identify acute respiratory viral infectionGene expression signatures diagnose influenza and other symptomatic respiratory viral infections in humansTemporal dynamics of host molecular responses differentiate symptomatic and asymptomatic influenza a infection.A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2.Logistic Stick-Breaking Process.Bayesian inference of the number of factors in gene-expression analysis: application to human virus challenge studies.Nonparametric Bayesian dictionary learning for analysis of noisy and incomplete imagesDeep learning with hierarchical convolutional factor analysisBayesian Gaussian Copula Factor Models for Mixed Data.Classification with Incomplete Data Using Dirichlet Process PriorsBayesian joint analysis of heterogeneous genomics data.High-Dimensional Longitudinal Genomic Data: An analysis used for monitoring viral infections.On classification with incomplete data.Joint classifier and feature optimization for comprehensive cancer diagnosis using gene expression data.An integrated transcriptome and expressed variant analysis of sepsis survival and death.An active learning approach for rapid characterization of endothelial cells in human tumorsPredicting Viral Infection From High-Dimensional Biomarker Trajectories.Host gene expression classifiers diagnose acute respiratory illness etiology.Learning Low-Dimensional Signal Models: A Bayesian approach based on incomplete measurements.An integrated clinico-metabolomic model improves prediction of death in sepsis.Dysregulation of Prefrontal Cortex-Mediated Slow-Evolving Limbic Dynamics Drives Stress-Induced Emotional PathologyInformation-Theoretic Compressive Measurement Design.A Bayesian Nonparametric Approach to Image Super-Resolution.Negative Binomial Process Count and Mixture ModelingEstimation of the CSA-ODF using Bayesian compressed sensing of multi-shell HARDI.Nonparametric Bayesian Segmentation of a Multivariate Inhomogeneous Space-Time Poisson Process.Patient clustering with uncoded text in electronic medical recordsCompressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds.A Bayesian Model for Simultaneous Image Clustering, Annotation and Object Segmentation.Multichannel electrophysiological spike sorting via joint dictionary learning and mixture modeling.Multiaspect target detection via the infinite hidden Markov model.Quantitative arbor analytics: unsupervised harmonic co-clustering of populations of brain cell arbors based on L-measure.Probabilistic Topic Models: A focus on graphical model design and applications to document and image analysis.Compressed sampling strategies for tomography.Coded aperture compressive temporal imaging.Parallel implementation of the biorthogonal multiresolution time-domain method.An inner-loop free solution to inverse problems using deep neural networksDetection of viruses via statistical gene expression analysis.Deconvolutional Paragraph Representation LearningVAE Learning via Stein Variational Gradient Descent
P50
Q30353712-7667E82B-EF93-4D82-B57B-0FD433109CA6Q30379566-363912DD-1BEB-41BC-83C8-B2FA46F21F84Q30406849-37F04F03-06C5-481C-804F-FFA9834670D9Q30426029-E2E7D8EF-2886-4D24-886F-CA59849D8AD7Q30430355-B53C86A0-A35A-4DB3-8739-DC967A64A4E8Q30431459-4C614A3C-1998-4FE4-9C01-1481F2C17033Q30456225-0406C6B9-F7B7-4D34-9ECA-6663EF192BE1Q30540657-6DD072D3-6E91-44BE-882F-DFF0084EE48DQ30664139-81009976-E6C8-4A10-8FBC-0D28E0C4D3BAQ30664161-E299C291-8541-4897-97C3-8903105F8299Q30747001-D792CCA5-9419-4758-B524-449C3DE7D270Q30788074-B4C9ACFC-9477-4117-A7A7-929EE6D304C3Q31092746-94A1F865-62B8-4C18-B82C-7AA9B4A94C47Q33205353-D388BB49-385C-4A35-9057-00CF5B8EEE94Q34762245-0FD046D6-E9F5-42E9-AEEC-492A6C5D1EAAQ35113340-8673C3B2-BA32-4DDA-A8E6-FF4877C6935AQ36862045-3EA1C239-4BF0-4A4B-AA32-8B1730F599C3Q36998590-D46FE134-C785-4FC5-A7D1-C086EDD08579Q37406725-03D6A160-432F-4FB7-860F-07844515B68EQ37584419-DEBA27B6-C63C-44EE-8C41-B3241B1C6AAAQ39653483-3FA7C633-3F29-4F53-A83C-B0DA0C5AF42CQ39759926-35DC42C7-5AB0-44B4-BAB0-FB97410F3C3DQ40558399-1236B42B-4529-4352-A8AE-716861BA1A09Q40558413-5D5F749F-D36C-40ED-B84B-D8C7634A1431Q40729716-A43D8EE1-0C4B-4A47-B631-C7F503B6F5C8Q41431288-DE1A776E-7F09-4721-AAF3-182037B34C6CQ41887859-86AB84D5-8E17-4A31-AB63-22F56106FD50Q41950004-B11C7FF8-8A3B-45CF-A911-46F7C0FD357DQ42024460-258992DE-6AB1-45E2-8E4D-F91DB7AA16BEQ42612027-AA558E98-89F3-4349-875F-2038D50CC88AQ42622924-05338E75-B19A-4D02-8BAC-642010B9B5DDQ42675333-5CFC38C4-A7EA-4FB0-8B65-9EB61447A916Q42770278-DCE235FF-5B7A-4EF6-B235-23C39F6722C7Q43700199-6EA14259-4FA8-4615-810E-659880A95B18Q44297980-8940ABA0-C7F0-4089-A2F2-2A5F2129D46EQ44441277-41DB5D6B-AEC4-4AD4-B3F7-C83460DB0C07Q44548658-952DB96C-FD74-4C07-AD1E-B5DA3B4930E2Q44576085-E50978AA-6446-4F59-9476-71580267CE55Q44650066-68A19C3D-B4F9-421D-80F1-42A98BCF2744Q44650155-DFEF912B-A1E2-4C33-8918-4340AABD79CC
P50
description
machine learning researcher
@en
onderzoeker
@nl
name
Lawrence Carin
@ast
Lawrence Carin
@da
Lawrence Carin
@de
Lawrence Carin
@en
Lawrence Carin
@es
Lawrence Carin
@fo
Lawrence Carin
@fr
Lawrence Carin
@is
Lawrence Carin
@kl
Lawrence Carin
@nb
type
label
Lawrence Carin
@ast
Lawrence Carin
@da
Lawrence Carin
@de
Lawrence Carin
@en
Lawrence Carin
@es
Lawrence Carin
@fo
Lawrence Carin
@fr
Lawrence Carin
@is
Lawrence Carin
@kl
Lawrence Carin
@nb
prefLabel
Lawrence Carin
@ast
Lawrence Carin
@da
Lawrence Carin
@de
Lawrence Carin
@en
Lawrence Carin
@es
Lawrence Carin
@fo
Lawrence Carin
@fr
Lawrence Carin
@is
Lawrence Carin
@kl
Lawrence Carin
@nb
P101
P106
P108
P1960
2nmHOtoAAAAJ