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Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research

Interactive journal of medical research, 2022-11, Vol.11 (2), p.e40655-e40655

2022

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Using Machine-Learning Methods to Improve Surface Wind Speed from the Outputs of a Numerical Weather Prediction Model

Boundary-layer meteorology, 2021-04, Vol.179 (1), p.133-161

2021

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Foodborne botulism outbreak involving different nationalities during the Rugby World Cup: critical role of credit card data and rapid international cooperation, France, September 2023

Euro surveillance : bulletin européen sur les maladies transmissibles, 2023-11, Vol.28 (47), p.1

2023

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Protocol for a prospective, longitudinal cohort of people with COVID-19 and their household members to study factors associated with disease severity: the Predi-COVID study

BMJ open, 2020-11, Vol.10 (11), p.e041834-e041834

2020

Volltextzugriff (PDF)

Selecting the length of a principal curve within a Gaussian model

Electronic journal of statistics, 2013-01, Vol.7 (none)

Fischer, Aurélie

2013

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Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study

JMIR research protocols, 2023-06, Vol.12, p.e46103-e46103

2023

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Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one

Electronic journal of statistics, 2015-01, Vol.9 (1), p.234-265

2015

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Aggregation using input–output trade-off

Journal of statistical planning and inference, 2019-05, Vol.200, p.1-19

2019

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Neutralising properties of peptides derived from CXCR4 extracellular loops towards CXCL12 binding and HIV-1 infection

Biochimica et biophysica acta, 2014-05, Vol.1843 (5), p.1031-1041

2014

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Quantization and clustering with Bregman divergences

Journal of multivariate analysis, 2010-10, Vol.101 (9), p.2207-2221

Fischer, Aurélie

2010

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Statistical learning for wind power: A modeling and stability study towards forecasting

Wind energy (Chichester, England), 2017-12, Vol.20 (12), p.2037-2047

2017

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Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study

International journal of environmental research and public health, 2022-11, Vol.19 (23), p.16018

2022

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Robust Bregman clustering

The Annals of statistics, 2021-06, Vol.49 (3), p.1679

2021

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KFC: A clusterwise supervised learning procedure based on the aggregation of distances

Journal of statistical computation and simulation, 2021-07, Vol.91 (11), p.2307-2327

2021

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Associations between physical activity prior to infection and COVID-19 disease severity and symptoms: results from the prospective Predi-COVID cohort study

BMJ open, 2022-04, Vol.12 (4), p.e057863-e057863

2022

Volltextzugriff (PDF)

Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study

Journal of medical Internet research, 2021-12, Vol.23 (12), p.e25743-e25743

2021

Volltextzugriff (PDF)

On change-point estimation under Sobolev sparsity

Electronic journal of statistics, 2020-01, Vol.14 (1)

2020

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Injection of cocaine is associated with a recent HIV outbreak in people who inject drugs in Luxembourg

PloS one, 2019-05, Vol.14 (5), p.e0215570

2019

Volltextzugriff (PDF)

Mixed-methods study protocol to identify expectations of people with type 1 diabetes and their caregivers about voice-based digital health solutions to support the management of diabetes distress: the PsyVoice study

BMJ open, 2023-09, Vol.13 (9), p.e068264-e068264

2023

Volltextzugriff (PDF)

Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study

Scientific reports, 2021-08, Vol.11 (1), p.16056-16056, Article 16056

2021

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Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study

BMJ open, 2022-11, Vol.12 (11), p.e062463-e062463

2022

Volltextzugriff (PDF)

Long COVID Symptomatology After 12 Months and Its Impact on Quality of Life According to Initial Coronavirus Disease 2019 Disease Severity

Open forum infectious diseases, 2022-08, Vol.9 (8), p.ofac397-ofac397

2022

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Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice

Digital biomarkers, 2021-01, Vol.5 (1), p.78-88

2021

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Parameter Selection for Principal Curves

IEEE transactions on information theory, 2012-03, Vol.58 (3), p.1924-1939

2012

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The Long COVID experience from a patient's perspective: a clustering analysis of 27,216 Reddit posts

Frontiers in public health, 2023-08, Vol.11, p.1227807-1227807

2023

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Recommendations for Successful Implementation of the Use of Vocal Biomarkers for Remote Monitoring of COVID-19 and Long COVID in Clinical Practice and Research

Using Machine-Learning Methods to Improve Surface Wind Speed from the Outputs of a Numerical Weather Prediction Model

Foodborne botulism outbreak involving different nationalities during the Rugby World Cup: critical role of credit card data and rapid international cooperation, France, September 2023

Protocol for a prospective, longitudinal cohort of people with COVID-19 and their household members to study factors associated with disease severity: the Predi-COVID study

Selecting the length of a principal curve within a Gaussian model

Co-Design of a Voice-Based Digital Health Solution to Monitor Persisting Symptoms Related to COVID-19 (UpcomingVoice Study): Protocol for a Mixed Methods Study

Improved rates for Wasserstein deconvolution with ordinary smooth error in dimension one

Aggregation using input–output trade-off

Neutralising properties of peptides derived from CXCR4 extracellular loops towards CXCL12 binding and HIV-1 infection

Quantization and clustering with Bregman divergences

Statistical learning for wind power: A modeling and stability study towards forecasting

Long COVID Classification: Findings from a Clustering Analysis in the Predi-COVID Cohort Study

Robust Bregman clustering

KFC: A clusterwise supervised learning procedure based on the aggregation of distances

Associations between physical activity prior to infection and COVID-19 disease severity and symptoms: results from the prospective Predi-COVID cohort study

Methods to Generate Innovative Research Ideas and Improve Patient and Public Involvement in Modern Epidemiological Research: Review, Patient Viewpoint, and Guidelines for Implementation of a Digital Cohort Study

On change-point estimation under Sobolev sparsity

Injection of cocaine is associated with a recent HIV outbreak in people who inject drugs in Luxembourg

Mixed-methods study protocol to identify expectations of people with type 1 diabetes and their caregivers about voice-based digital health solutions to support the management of diabetes distress: the PsyVoice study

Towards precision cardiometabolic prevention: results from a machine learning, semi-supervised clustering approach in the nationwide population-based ORISCAV-LUX 2 study

Vocal biomarker predicts fatigue in people with COVID-19: results from the prospective Predi-COVID cohort study

Long COVID Symptomatology After 12 Months and Its Impact on Quality of Life According to Initial Coronavirus Disease 2019 Disease Severity

Voice for Health: The Use of Vocal Biomarkers from Research to Clinical Practice

Parameter Selection for Principal Curves

The Long COVID experience from a patient's perspective: a clustering analysis of 27,216 Reddit posts

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