Exploració per autor "Gibert, Karina"
Ara es mostren els items 66-85 de 101
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KLASS: estudi d'un sistema d'ajuda al tractament estadístic de grans bases de dades (Master Thesis)
Gibert, Karina (1991-03)
Report de recerca
Accés obert -
Knowledge discovery about quality of life changes of spinal cord injury patients: clustering based on rules by states
Gibert, Karina; García Rudolph, A.; Curcoll, Lluïsa; Soler, Dolors; Pla, Laura; Tormos, José Maria (2009-08-01)
Article
Accés restringit per política de l'editorialIn this paper, an integral Knowledge Discovery Methodology, named Clustering based on rules by States, which incorporates artificial intelligence (AI) and statistical methods as well as interpretation-oriented tools, is ... -
Knowledge discovery with clustering based on rules by states: a water treatment application
Gibert, Karina; Rodríguez Silva, Gustavo; Rodríguez Roda, Ignasi (Elsevier, 2010-06)
Article
Accés restringit per política de l'editorialThis work presents advances in the design of a hybrid methodology that combines artificial intelligence and statistical tools to induce a model of explicit knowledge in relation to the dynamics of a wastewater treatment ... -
Knowledge-driven delivery of home care services
Batet, Montserrat; Isern, David; Marín, Lucas; Martínez Pérez, Sergio; Moreno Ribas, Antonio; Sánchez Ruenes, David; Valls Mateu, Aïda; Gibert, Karina (2012-02)
Article
Accés obertHome Care (HC) assistance is emerging as an effective and efficient alternative to institutionalized care, especially for the case of senior patients that present multiple co-morbidities and require life long treatments ... -
L'us de la informació simbòlica en l'automatització del tractament estadístic de dominis poc estructurats
Gibert, Karina (Universitat Politècnica de Catalunya, 1995-01-30)
Tesi
Accés obertPer les seves característiques intrínseques (coexistència de variables quantitatives i qualitatives amb gran nombre de modalitats , coneixement addicional sobre l'estructura del domini per part d'un expert), els dominis ... -
Leveraging data science for a personalized haemodialysis
Hueso, Miguel; Haro Martín, Luis de; Calabria, Jordi; Dal-Re, R; Tebe, C; Gibert, Karina; Cruzado, Josep M; Vellido Alcacena, Alfredo (Karger, 2020-11)
Article
Accés obertThe 2019 Science for Dialysis Meeting at Bellvitge University Hospital was devoted to the challenges and opportunities posed by the use of data science to facilitate precision and personalized medicine in nephrology, and ... -
Llibre blanc sobre la intel·ligència artificial aplicada a la ciberseguretat
Reyes de los Mozos, Mario; Pozo, Abel; Calvo Ibáñez, Albert; Ortiz Rabella, Nil; Careglio, Davide; Hernando Pericás, Francisco Javier; Gibert, Karina (Centre of Innovation for Data Tech and Artificial Intelligence (CIDAI), 2023)
Llibre
Accés obertEls darrers anys els avanços a la ciència de la Intel·ligència Artificial han estat remarcables, tenint gran impacte en diferents sectors industrials i socials. Existeixen en la actualitat una gran quantitat d’exemples que ... -
Metodología KDSM para el estudio de dominios poco estructurados donde se presentan medidas seriadas muy cortas repetidas con factor de bloque
Rodas, Jorge; Alvarado, Gabriela; Gibert, Karina; Rojo, Emilio; Cortés García, Claudio Ulises (2003-02)
Report de recerca
Accés obertEl presente documento representa 2 años de trabajo con técnicas de inteligencia artificial y estadística para el análisis de medidas seriadas muy cortas repetidas. Grandes cantidades de datos se almacenan diariamente debido ... -
Mixed intelligent-multivariate missing imputation
Gibert, Karina (2014-01-02)
Article
Accés restringit per política de l'editorialIn real applications, important rates of missing data are often found and have to be pre-processed before the analysis. The literature for missing imputation is abundant. However, the most precise imputation methods require ... -
On the hybridation of artificial intelligence and statistics for effective knowledge discovery in ill-structured domains with messy data
Gibert, Karina; Rodríguez Silva, Gustavo; García Rudolph, A. (2010)
Text en actes de congrés
Accés restringit per decisió de l'autorSeveral experiencies highlighted the suitability of combinining AI techniques with Clustering techniques for effective KDD in very complex domains. In this work the benefits of using hybrid methodologies for extracting ... -
Ontology-driven web-based semantic similarity
Sánchez Ruenes, David; Batet, Montserrat; Valls Mateu, Aïda; Gibert, Karina (2009-11-03)
Article
Accés obertEstimation of the degree of semantic similarity/distance between concepts is a very common problem in research areas such as natural language processing, knowledge acquisition, information retrieval or data mining. In the ... -
Post-processing the Class Panel Graphs: towards understandable patterns from data
Sevilla-Villanueva, Beatriz; Gibert, Karina; Sànchez-Marrè, Miquel (2013-11-01)
Article
Accés obertA profiling methodology is introduced for automatic interpretation of clusters in this work. This methodology contributes to the characterization of the resulting classes from a clustering process. This work aims to find ... -
Post-processing: bridging the gap between modelling and effective decision-support. The Profile Assessment Grid in Human Behaviour
Gibert, Karina; Rodríguez Silva, Gustavo; Annicchiarico, Roberta (2011-11-28)
Article
Accés restringit per política de l'editorialThe importance of post-processing the results of clustering when using data mining to support subsequent decision-making is discussed. Both the formal embedded binary logistic regression (EBLR) and the visual profile’s ... -
Preface
Gibert, Karina; Sierra, Carles (2015)
Article
Accés restringit per decisió de l'autor -
Preface
Gibert, Karina; Botti Navarro, Vicent; Reig Bolano, Ramon (2013-10-01)
Capítol de llibre
Accés restringit per política de l'editorial -
Preprocessing and Artificial Intelligence for increasing explainability in mental health
Angerri Torredeflot, Xavier; Gibert, Karina (2023-03)
Article
Accés obertThis 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 ... -
Semantic clustering based on ontologies: an application to the study of visitors in a natural reserve
Batet, Montserrat; Valls, Aïda; Gibert, Karina (2011)
Text en actes de congrés
Accés obertThe development of large ontologies for general and specific domains provides new tools to improve the quality of data mining techniques such as clustering. In this paper we explain how to improve clustering results by ... -
Semantic similarity estimation from multiple ontologies
Batet, Montserrat; Sánchez Ruenes, David; Valls Mateu, Aïda; Gibert, Karina (2012-05-26)
Article
Accés obert -
Special issue on pattern recognition and cognitive assistants
Falomir, Zoe; Costa Bueno, Vicent; Plaza, Enric; Gibert, Karina (Elsevier, 2020-05-01)
Article
Accés obertThis special issue proposes a space for researchers to discuss the challenges of bridging pattern recognition and cognitive assistants. This bridge was travelled in both sides. From one side, how pattern recognition methods ... -
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 obertFeature 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 ...