Recent Submissions

  • Mixture-based clustering with covariates for ordinal responses 

    Preedalikit, Kemmawadee; Fernández Martínez, Daniel; Liu, Ivy; McMillan, Louise; Nai Ruscone, Marta; Costilla, Roy (2023)
    Conference report
    Restricted access - publisher's policy
    Existing methods can perform likelihood-based clustering on a multivariate data matrix of ordinal responses, using finite mixtures to cluster the rows and columns of the matrix. Those models can incorporate the main effects ...
  • One-dimensional mixture-based clustering for ordinal responses 

    Preedalikit, Kemmawadee; Fernández Martínez, Daniel; Liu, Ivy; McMillan, Louise; Nai Ruscone, Marta; Costilla, Roy (2023)
    Conference report
    Restricted access - publisher's policy
    Existing methods can perform likelihood-based clustering on a multivariate data matrix of ordinal responses, using finite mixtures to cluster the rows and columns of the matrix. Those models can incorporate the main effects ...
  • 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 ...
  • 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 ...
  • An heuristic algorithm for dynamic network loading 

    Codina Sancho, Esteve; Barceló Bugeda, Jaime (International Federation of Automatic Control (IFAC), 1997)
    Conference report
    Open Access
    This paper describes an heuristic procedure for the problem of determining the time evolution of traffic flows and routes on a road net work with the key requirement that its computational costs must be appealing so as to ...
  • Evaluation of subgradients for the primal gap of variational inequalities and an application to the demand adjustment problem 

    Codina Sancho, Esteve; Montero Mercadé, Lídia (Association of European Operational Research Societies (EURO), 2003)
    Conference report
    Restricted access - publisher's policy
    In this paper the use of primal gap functions for variational inequalities for solving bilevel programming problems with equilibrium constraints is addressed. First a sufficient condition is presented so that the Clarke’s ...
  • An optimization-based decomposition heuristic for the microaggregation problem 

    Castro Pérez, Jordi; Gentile, Claudio; Spagnolo Arrizabalaga, Enrique (Springer, 2022)
    Conference report
    Open Access
    Given a set of points, the microaggregation problem aims to find a clustering with a minimum sum of squared errors (SSE), where the cardinality of each cluster is greater than or equal to k. Points in the cluster are ...
  • Bootstrap-CURE clustering: An investigation of impact of shrinking on clustering performance 

    Karna, Ashutosh; Gibert, Karina (IOS Press, 2022)
    Conference report
    Open Access
    Hierarchical clustering is one of the most popular techniques in unsupervised segmentation. However, since it has quadratic complexity as it is based on pairwise distance matrix construction, it tends to be less used with ...
  • A simulation system for intermodal assignment of public transport and ride pooling services 

    Lorente García, Ester; Barceló Bugeda, Jaume; Codina Sancho, Esteve; Klaus, Nökel (2022)
    Conference report
    Restricted access - publisher's policy
  • Towards expert-inspired automatic criterion to cut a dendrogram for real-industrial applications 

    Suman, Shikha; Karna, Ashutosh; Gibert, Karina (IOS Press, 2021)
    Conference report
    Open Access
    Hierarchical clustering is one of the most preferred choices to understand the underlying structure of a dataset and defining typologies, with multiple applications in real life. Among the existing clustering algorithms, ...
  • Design of information points for monitoring traffic conditions 

    Montero Mercadé, Lídia; Codina Sancho, Esteve; Angel, Marín (Universidad de Cádiz, 2004)
    Conference report
    Open Access
    This work introduces a particular Stochastic Mathematical Program with Equilibrium Constraints that explicitly incorporates uncertainties in problem data de nition through a bilevel formulation. The upper level assumes ...

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