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Watching the guards: a data-driven method to trigger warnings in national wastewater surveillance networks
(2024-06-12)
Article
Open AccessSurveillance networks have been established in many countries worldwide to monitor SARS-CoV-2 in sewage and to estimate the communal prevalence of COVID-19 cases. Despite their popularity, gaining a rapid understanding of ... -
On model-based time trend adjustments in platform trials with non-concurrent controls
(Springer, 2022-08-15)
Article
Open AccessPlatform trials can evaluate the efficacy of several experimental treatments compared to a control. The number of experimental treatments is not fixed, as arms may be added or removed as the trial progresses. Platform ... -
NCC: An R-package for analysis and simulation of platform trials with non-concurrent controls
(2023-07)
Article
Open AccessPlatform trials evaluate the efficacy of multiple treatments, allowing for late entry of the experimental arms and enabling efficiency gains by sharing controls. The power of individual treatment-control comparisons in ... -
A unified formal framework for factorial and probabilistic topic modelling
(Multidisciplinary Digital Publishing Institute (MDPI), 2023-10-21)
Article
Open AccessTopic modelling has become a highly popular technique for extracting knowledge from texts. It encompasses various method families, including Factorial methods, Probabilistic methods, and Natural Language Processing methods. ... -
SurvLIMEpy: a Python package implementing SurvLIME
(2024-03-01)
Article
Restricted access - publisher's policyIn this paper we present SurvLIMEpy, an open-source Python package that implements the SurvLIME algorithm. This method allows to compute local feature importance for machine learning algorithms designed for modelling ... -
Conditional poisson regression with random effects for the analysis of multi-site time series studies
(2023-09-12)
Article
Open AccessThe analysis of time series studies linking daily counts of a health indicator with environmental variables (e.g., mortality or hospital admissions with air pollution concentrations or temperature; or motor vehicle crashes ... -
Scalability evaluation of forecasting methods applied to bicycle sharing systems
(Elsevier Ltd, 2023-10)
Article
Open AccessPublic Bicycle Sharing Systems have spread in many cities for the last decade. The need of analysis tools to predict the behavior or estimate balancing needs has fostered a wide set of approaches that consider many variables. ... -
Modeling SARS-CoV-2 true infections in Catalonia through a digital twin
(John Wiley & sons, 2023-05-12)
Article
Open AccessA dynamic view of the evolution of the infections of SARS-CoV-2 in Cataloniausing a Digital Twin approach that forecasts the true infection curve ispresented. The forecast model incorporates the vaccination process, ... -
The landscape of expression and alternative splicing variation across human traits
(Elsevier, 2023-01-11)
Article
Open AccessUnderstanding the consequences of individual transcriptome variation is fundamental to deciphering human biology and disease. We implement a statistical framework to quantify the contributions of 21 individual traits as ... -
An approach based on simulation and optimisation for the intermodal dispatching of public transport and ride-pooling services
(2023-03-16)
Article
Open AccessThis paper provides a simulation and optimisation-based system to combine public transport (PT) with ride-pooling services (RP). According to the International Transport Forum (ITF), the RP could be established as a feeder ... -
A mixture model application in monitoring error message rates for a distributed industrial fleet
(2022-11-01)
Article
Open AccessRemotely monitoring industrial printers for an unexpected increase of warning and error messages reduces equipment downtime and increases customer satisfaction. Directly tracking raw error messages rates during a given ... -
Development of a platform for the assessment of demand-side flexibility in a microgrid laboratory
(2023-02-01)
Article
Restricted access - publisher's policyDemand-side flexibility has gained attention as a powerful tool to increase the flexibility of the electricity system and counteract the uncertainties caused by the increase of Renewable Energy Sources. Up to date, few ...