Browsing by Author "Angerri Torredeflot, Xavier"
Now showing items 1-5 of 5
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Informe INSESS-COVID19: identificació de necessitats socials emergents com a conseqüència de la Covid19 i efecte sobre els serveis socials del territori
Gibert, Karina; Codina, Toni; Angerri Torredeflot, Xavier (2020-12-15)
Book
Open Access -
Metodologia integral de perfilat ràpid intel·ligent i interpretable pel suport a la presa de decisions complexes (MIPRI2D). Aplicacions a sostenibilitat
Angerri Torredeflot, Xavier (Universitat Politècnica de Catalunya, 2023-07-25)
Doctoral thesis
Open Access(English) Living in the era of big data and artificiall intelligence this thesis wants to contribute with a new methodology to support data-driven decisions rapidly after data collection, and a technological infrastructure ... -
Preprocessing and Artificial Intelligence for increasing explainability in mental health
Angerri Torredeflot, Xavier; Gibert, Karina (2023-03)
Article
Open AccessThis paper shows the added value of using the existing specific domain knowledge to generate new derivated variables to complement a target dataset and the benefits of including these new variables into further data analysis ... -
The INSESS-COVID19 Project: evaluating the Impact of the COVID19 in social vulnerability while preserving privacy of participants from minority subpopulations
Gibert, Karina; Angerri Torredeflot, Xavier (Multidisciplinary Digital Publishing Institute, 2021-03-31)
Article
Open AccessIn this paper, the results of the project INSESS-COVID19 are presented, as part of a special call owing to help in the COVID19 crisis in Catalonia. The technological infrastructure and methodology developed in this project ... -
Variable selection for meaningful clustering of multitopic territorial data
Angerri Torredeflot, Xavier; Gibert, Karina (Multidisciplinary Digital Publishing Institute (MDPI), 2023-06-26)
Article
Open AccessThis paper proposes a new methodology to improve territorial cohesion in clustering processes where many variables from different topics are considered. Clustering techniques provide added value to identify typologies, but ...