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Ara es mostren els items 85-101 de 101

    • Tècniques de feature weighting per casos no supervisats: Implementació a GESCONDA 

      Sànchez-Marrè, Miquel; Gómez Villamor, Sergio; Teixidò, F; Gibert, Karina (2006-07)
      Report de recerca
      Accés obert
      Feature selection and feature weighting methods in supervised domains have been thoroughly discussed in the literature. On the other hand, very little work has been done for unsupervised domains, probably due to the assumed ...

    • The digital revolution in the urban water cycle and its ethical–political implications: a critical perspective 

      Popartan, Lucia Alexandra; Cortés Martínez, Atia; Garrido Baserba, Manel; Verdaguer Planas, Marta; Poch Espallargas, Manel; Gibert, Karina (Multidisciplinary Digital Publishing Institute, 2022-02-28)
      Article
      Accés obert
      The development and application of new forms of automation and monitoring, data mining, and the use of AI data sources and knowledge management tools in the water sector has been compared to a ‘digital revolution’. The ...

    • The influence of lifestyle, diet, and reproductive history on age at natural menopause in Spain: analysis from the EPIC-Spain sub-cohort 

      Luján-Barroso, Leila; Gibert, Karina; Obón-Santacana, Mireia; Chirlaque, Maria Dolores; Sánchez, Maria-José; Larrañaga, Nerea; Barricarte, Aurelio; Quirós, Jose-Ramón; Salamanca-Fernandez, Elena; Colorado-Yohar, Sandra; Gomez-Pozo, Basilio; Agudo, Antonio; Duell, Eric J (2018-11)
      Article
      Accés obert
      Objective To determinate the role of lifestyle factors, recent diet, menstrual factors, and reproductive history in age at natural menopause in adult Spanish women. Methods In total, 12¿562 pre-menopausal women were available ...

    • 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
      Accés obert
      In 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 ...

    • The role of intelligent decision support systems in sustainability: an end-user experience 

      Gibert, Karina; Sànchez-Marrè, Miquel; Jadoon, Muhammad Awais; Grabiec, Natalia; Lovagnini, Greta; Perriard, Arnaud; Sharma, Sumit; Wargocki, Piotr (2019)
      Comunicació de congrés
      Accés restringit per política de l'editorial
      The paper presents a preliminary analysis of some intelligent decision support systems for sustainability from the point of view of the end user experience, by comparing up to four available systems. The role that these ...

    • The Role of Significance Statistical Tests on Cluster Interpretation 

      Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, Miquel (2014)
      Text en actes de congrés
      Accés obert

    • The role of significance tests in consistent interpretation of nested partitions 

      Gibert, Karina; Sevilla-Villanueva, Beatriz; Sànchez-Marrè, Miquel (2016-01-15)
      Article
      Accés restringit per política de l'editorial
      Cluster interpretation is an important step for a proper understanding of a set of classes, independently of whether they have been automatically discovered or expert-based. An understanding of classes is crucial for the ...

    • The role of statistical tests on cluster interpretation 

      Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, Miquel (2014)
      Text en actes de congrés
      Accés restringit per decisió de l'autor

    • Towards expert-inspired automatic criterion to cut a dendrogram for real-industrial applications 

      Suman, Shikha; Karna, Ashutosh; Gibert, Karina (IOS Press, 2021)
      Text en actes de congrés
      Accés obert
      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, ...

    • Un compilador per l'UPCLISP 

      Riaño Ramos, David; Gibert, Karina; Torra Reventos, Vicenc; Cortés García, Claudio Ulises (1990)
      Report de recerca
      Accés obert
      El report recull el desenvolupament d'un compilador per a una versió de LISP pròpia de la UPC, l'UPCLISP. El procés de compilació va prenent una a una les funcions i després per a cadascuna d'elles fa una anàlisi de tipus ...

    • Understanding effects of cognitive rehabilitation under a knowledge discovery approach 

      García Rudolph, Alejandro; Gibert, Karina (Elsevier, 2016-10)
      Article
      Accés obert
      Traumatic brain injury (TBI) is the leading cause of death and disability in children and young adults worldwide. Cognitive rehabilitation (CR) plans consist of a sequence of CR tasks targeting main cognitive functions. ...

    • Using ontologies for structuring organizational knowledge in Home Care assistance 

      Valls Mateu, Aïda; Gibert, Karina; Sánchez, David; Batet, Montserrat (2010-05)
      Article
      Accés restringit per política de l'editorial
      Purpose: Information Technologies and Knowledge-based Systems can significantly improve the management of complex distributed health systems, where supporting multidisciplinarity is crucial and communication and synchronization ...

    • Using ontology-based clustering to understand the push and pull factors for British tourists visiting a Mediterranean coastal destination 

      Valls, Aïda; Gibert, Karina; Orellana, Alícia; Antón-Clavé, Salvador (2018-03)
      Article
      Accés restringit per decisió de l'autor
      This paper studies why British tourists decide to travel to a particular destination in a Catalan region. The analysis is based on a survey that includes open-ended questions. First, we propose the operationalization of ...

    • Variable selection for meaningful clustering of multitopic territorial data 

      Angerri Torredeflot, Xavier; Gibert, Karina (Multidisciplinary Digital Publishing Institute (MDPI), 2023-06-26)
      Article
      Accés obert
      This 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 ...

    • Web pattern detection for business intelligence with data mining 

      Palomino Gayete, Arturo; Gibert, Karina (IOS Press, 2014)
      Text en actes de congrés
      Accés restringit per política de l'editorial
      Finding Internet browsing patterns is a current hot topic, with expected benefits in many areas, marketing and business intelligence among others. Discovering user's internet habits might improve fields like chained-publicity, ...

    • Weighting quantitative and qualitative variables in clustering methods 

      Gibert, Karina; Cortés García, Claudio Ulises (Universitat Politècnica de Catalunya. Secció de Matemàtiques i Informàtica, 1997)
      Article
      Accés obert
      Description of individuals in ill-structured domains produces messy data matrices. In this context, automated classification requires the management of those kind of matrices. One of the features involved in clustering ...

    • Which method to use? An assessment of data mining methods in Environmental Data Science 

      Gibert, Karina; Izquierdo Sebastián, Joaquín; Sànchez-Marrè, Miquel; Hamilton, Serena H.; Rodriguez Roda, Ignasi; Holmes, Geoffrey (Elsevier, 2018-12)
      Article
      Accés obert
      Data Mining (DM) is a fundamental component of the Data Science process. Over recent years a huge library of DM algorithms has been developed to tackle a variety of problems in fields such as medical imaging and traffic ...