• A global probabilistic dataset for monitoring meteorological droughts 

      Turco, Marco; Jerez, Sonia; Donat, Markus; Toreti, Andrea; Vicente-Serrano, Sergio M.; Doblas-Reyes, Francisco (American Meteorological Society, 2020)
      Article
      Accés obert
      DROP is a global land dataset to monitor meteorological drought that gathers an ensemble of observation-based datasets providing near-real time estimates with associated uncertainty using a probabilistic approach. Accurate ...
    • Distribution planning in a weather-dependent scenario with stochastic travel times: a simheuristics approach 

      Estrada-Moreno, Alejandro; Serrat Piè, Carles; Nogal Macho, María; Cavero-Lázaro, Marta; Juan Pérez, Ángel Alejandro (2019-02-04)
      Article
      Accés obert
      In real-life logistics, distribution plans might be affected by weather conditions (rain, snow, and fog), since they might have a significant effect on traveling times and, therefore, on total distribution costs. In this ...
    • Estimation of Parameters in Geotechnical Backanalysis: I. Maximum Likelihood Approach 

      Ledesma Villalba, Alberto; Gens Solé, Antonio; Alonso Pérez de Agreda, Eduardo (Elsevier, 1996)
      Article
      Accés obert
      The estimation of soil and rock parameters based on field instrumentation data is a common procedure in geomechanics. The use of system identification and optimization techniques allows the performance of this type of ...
    • Probabilistic models for competence assessment in education 

      López De Aberasturi Gómez, Alejandra (Universitat Politècnica de Catalunya, 2021-04-19)
      Projecte Final de Màster Oficial
      Accés restringit per decisió de l'autor
      Probabilistic models of competence assessment join the benefits of automation with human judgement. In this work, two probabilistic models of peer assessment (PG1- bias and PAAS) are replicated and compared. We also present ...