Exploració per autor "Gibert, Karina"
Ara es mostren els items 73-92 de 101
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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
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Preface
Gibert, Karina; Botti Navarro, Vicent; Reig Bolano, Ramon (2013-10-01)
Capítol de llibre
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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
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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 ... -
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 obertThe 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 obertObjective 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 obertIn 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'editorialThe 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
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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'editorialCluster 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
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