Browsing by Author "Gibert, Karina"
Now showing items 1-20 of 82
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6a Jornada d'Igualtat de la UPC. Iniciatives de la crida oberta
(2019-02-06)
Audiovisual
Open Access -
A data mining approach for Visual and Analytic identification of neurorehabilitation ranges in traumatic brain injury cognitive rehabilitation
(2015-01-15)
Article
Restricted access - author's decisionTraumatic brain injury (TBI) is a critical public health and socioeconomic problem throughout the world. Cognitive rehabilitation (CR) has become the treatment of choice for cognitive impairments after TBI. It consists of ... -
A data mining approach to identify cognitive NeuroRehabilitation Range in Traumatic Brain Injury patients
(2014-09-01)
Article
Restricted access - publisher's policyCognitive rehabilitation (CR) treatment consists of hierarchically organized tasks that require repetitive use of impaired cognitive functions in a progressively more demanding sequence. Active monitoring of the progress ... -
A hybrid recommender system for industrial symbiotic networks
(2018)
Conference lecture
Open AccessVarious solutions enabling the realization of synergies in Industrial Symbiotic Networks have been proposed. However, incorporating intelligence into the platforms that these networks use, supporting the involved actors ... -
A hybrid recommender system to improve circular economy in industrial symbiotic networks
(2019-09-16)
Article
Open AccessRecently, the need of improved resource trading has arisen due to resource limitations and energy optimization problems. Various platforms supporting resource exchange and waste reuse in industrial symbiotic networks are ... -
A methodology for maintaining consistency between conceptual interpretations of nested partitions
(IOSPress, 2016-10)
Part of book or chapter of book
Restricted access - publisher's policyThe relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is ... -
A methodology for maintaining consistency between conceptual interpretations of nested partitions
(2016)
Conference report
Restricted access - publisher's policyThe relationship between interpretations of nested partitions is analyzed in this work, since there are multiple situations where a refinement of the original partition arises. As a result, a new methodology NCI-IMS is ... -
A Methodology of knowledge discovery in serial measurement applied to a psychiatric domain
(2001-11)
Research report
Open AccessThe paper introduces a methodology of Knowledge Discovery in Serial Measurement (KDSM) for analyzing repeated very short time series with a blocking factor in ill-structured domains. This proposal focuses on results ... -
A methodology to assess the sustainability competencies in engineering undergraduate programs
(Tempus Publications, 2021)
Article
Restricted access - publisher's policyThis paper presents a methodology to find out whether or not engineering students perceive sustainability learning throughout their studies at the university. The methodology is applied to students from Barcelona School ... -
A methodology to discover and understand complex patterns: interpreted integrative multiview clustering (I2MC)
(Elsevier, 2017-02-10)
Article
Open AccessThe main goal of this work is to develop a methodology for finding nutritional patterns from a variety of individual characteristics which can contribute to better understand the interactions between nutrition and health, ... -
A self-organizing world: special issue of the 13th edition of the workshop on self-organizing maps and learning vector quantization, clustering and data visualization, WSOM¿+¿2019
(Springer Nature, 2022-01)
Article
Open Access -
A survey on pre-processing techniques: relevant issues in the context of environmental data mining
(IOS Press, 2016-12)
Article
Open AccessOne of the important issues related with all types of data analysis, either statistical data analysis, machine learning, data mining, data science or whatever form of data-driven modeling, is data quality. The more complex ... -
A text-mining approach to assess the failure condition of wind turbines using maintenance service history
(2019-05-23)
Article
Open AccessDetecting and determining which systems or subsystems of a wind turbine have more failures is essential to improve their design, which will reduce the costs of generating wind power. Two of the most critical failures, the ... -
Análisis de medidas repetidas mediante el uso de la curva media como síntesis
(2003-09-04)
Research report
Open AccessThis technical report presents the obtained results from the application of KDSM methodology and Summary Measures method to repeated and very short serial measures with blocking factor on psychiatry ill-structured domain -
Applying clustering based on rules for finding patterns of functional dependency in schizophrenia
(2014-05-15)
Part of book or chapter of book
Restricted access - author's decision -
Applying clustering based on rules on WHO-DAS II for knowledge discovery on functional disabilities
(2002-11)
Research report
Open AccessThe senior citizens represent a fast growing proportion of the population in Europe and other developed areas. This increases the proportion of persons with disability and reducing quality of life. The concept of disability ... -
¿Aprenden sostenibilidad los alumnos de la FIB?
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2019)
Conference report
Open AccessEn este artículo se presenta un estudio realizado para averiguar si los estudiantes de la FIB aprenden sostenibilidad a lo largo de sus estudios en la universidad. Se usa como herramienta el cuestionario de sostenibilidad ... -
Assisting the end-user in the interpretation of profiles for decision support An application to wastewater treatment plants
(2012-05)
Article
Restricted access - author's decisionThis paper describes the integral Knowle dge Discovery (KDD) process, including bot h prior expert knowledge and interpretation oriented tools to extract the behavior of a real pilot wastewater treatment plant. Special ... -
Bootstrap-CURE clustering: An investigation of impact of shrinking on clustering performance
(IOS Press, 2022)
Conference report
Open AccessHierarchical clustering is one of the most popular techniques in unsupervised segmentation. However, since it has quadratic complexity as it is based on pairwise distance matrix construction, it tends to be less used with ... -
Bootstrap–CURE: A novel clustering approach for sensor data: an application to 3D printing industry
(2022-02-19)
Article
Open AccessThe agenda of Industry 4.0 highlights smart manufacturing by making machines smart enough to make data-driven decisions. Large-scale 3D printers, being one of the important pillars in Industry 4.0, are equipped with smart ...
