Recent Submissions

  • A unified formal framework for factorial and probabilistic topic modelling 

    Gibert, Karina; Hernández Potiomkin, Yaroslav (Multidisciplinary Digital Publishing Institute (MDPI), 2023-10-21)
    Article
    Open Access
    Topic 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. ...
  • Interval-censored covariates in regression models 

    Langohr, Klaus; Toloba López-Egea, Andrea; Gómez Melis, Guadalupe (TU Dortmund University, 2023)
    Conference lecture
    Open Access
    Interval-censored time-to-event data are common whenever the event of interest is a silent event that cannot be observed directly. Here, we present an estimation method for generalized linear models with interval-censored ...
  • SurvLIMEpy: a Python package implementing SurvLIME 

    Pachón García, Cristian; Hernández Pérez, Carlos; Delicado Useros, Pedro Francisco; Vilaplana Besler, Verónica (2024-03-01)
    Article
    Restricted access - publisher's policy
    In 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 

    Barrera Gómez, Jose Antonio; Puig Oriol, Xavier; Ginebra Molins, Josep; Basagaña Flores, Xavier (2023-09-12)
    Article
    Open Access
    The 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 

    Cortez Ordóñez, Alexandra Piedad; Vázquez Alcocer, Pere Pau; Sánchez Espigares, Josep Anton (Elsevier Ltd, 2023-10)
    Article
    Open Access
    Public 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. ...
  • Mixed nonlinear modelling in food engineering: determination of the salting time of boneless dry-cured Cerretan hams 

    Espuña Soler, Francesc Xavier; Acosta Argueta, Lesly María; Sánchez Espigares, Josep Anton; Tort-Martorell Llabrés, Xavier (TU Dortmund University, 2023)
    Conference lecture
    Open Access
    A great challenge in producing a good cured ham is to reduce the variability of the salt content between pieces of ham and to obtain homogeneity in terms of flavour and quality in general. This reduction in variability ...
  • An approach based on simulation and optimization to integrate ride-pooling with public transport for a cooperative approach 

    Lorente García, Ester; Barceló Bugeda, Jaime; Codina Sancho, Esteve; Noëkel, Klaus (2023)
    Conference lecture
    Open Access
    Mobility as a Service (MaaS), appeared as a tool to provide more efficient solutions in large urban areas, but, it hasn’t always been the case. The International Union of Public Transport (UITP) and the International ...
  • Modeling SARS-CoV-2 true infections in Catalonia through a digital twin 

    Fonseca Casas, Pau; Garcia Subirana, Joan; García Carrasco, Víctor (John Wiley & sons, 2023-05-12)
    Article
    Open Access
    A 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 

    García Pérez, Raquel; Ramírez Cardeñosa, José Miguel; Ripoll Cladellas, Aida; Chazarra Gil, Rubén; Oliveros Díez, Winona; Soldatkina, Oleksandra; Bosio, Mattia; Rognon, Paul Joris Denis; Capella Gutiérrez, Salvador; Calvo Llorca, Miguel; Reverter Comes, Ferran; Guigo Serra, Roderic; Aguet, François; Ferreira, Pedro G.; Ardlie, Kristin G.; Mele Messeguer, Marta (Elsevier, 2023-01-11)
    Article
    Open Access
    Understanding 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 ...
  • Interpreting machine learning models for survival analysis: a study of cutaneous melanoma using the SEER database 

    Hernández Pérez, Carlos; Pachón García, Cristian; Delicado Useros, Pedro Francisco; Vilaplana Besler, Verónica (2023-06-15)
    Research report
    Open Access
    In this study, we train and compare three types of machine learning algorithms for Survival Analysis: Random Survival Forest, DeepSurv and DeepHit, using the SEER database to model cutaneous malignant melanoma. Additionally, ...
  • An approach based on simulation and optimisation for the intermodal dispatching of public transport and ride-pooling services 

    Lorente García, Ester; Codina Sancho, Esteve; Barceló Bugeda, Jaime; Nökel, Klaus (2023-03-16)
    Article
    Open Access
    This 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 

    Plandolit López, Bernat; Puig de Dou, Ignacio; Costigan, Gráinne; Puig Oriol, Xavier; Rodero de Lamo, Lourdes; Martínez Martínez, José Miguel (2022-11-01)
    Article
    Open Access
    Remotely 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 ...

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