Emilio Soria‐Olivas

Biographic Data

ID7869474
NAMEEmilio Soria‐Olivas
GIVEN NAMESEmilio
FAMILY NAMESoria‐Olivas
SIGNATUREOLIVAS E S
AFFILIATIONSUniversitat de València
ORCID0000-0002-9148-8405
VERIFIEDYes
TOTAL WORKS7
TOTAL CITATIONS0
WORKS AS AUTHOR7
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1998
LATEST PUBLICATION YEAR2022
H-INDEX0

  • Exploring the Heterogeneity and Trajectories of Positive Functioning Variables, Emotional Distress, and Post-traumatic Growth During Strict Confinement Due to Covid-19

    Open AccessRosa Baños, Rosa Ma Baños et al.ARTICLEJournal of Happiness Studies2022

    COVID-19 pandemic-related confinement may be a fruitful opportunity to use individual resources to deal with it or experience psychological functioning changes. This study aimed to analyze the evolution of different psychological variables during the first coronavirus wave to identify the different psychological response clusters, as well as to keep a follow-up on the changes among these clusters. The sample included 459 Spanish residents (77.8% …

  • La agenda building de los partidos políticos españoles en las redes sociales

    Open AccessJoaquín Martín Cubas, Emilio Soria‐Olivas et al.ARTICLERevista Dígitos2020

    Las redes sociales irradian un flujo de información de opinión horizontal y multimodal que ha abierto nuevos horizontes al análisis de los fenómenos políticos. La acción agregada de los ciudadanos en este nuevo ámbito permite orientar la agenda política del país e influir en la toma de decisiones públicas. El conocimiento de lo que ocurre en las redes deviene, pues, un objeto de estudio de primer interés. En este trabajo se utilizan metodologías …

  • Machine Learning for Mortality Analysis in Patients with Covid-19

    Open AccessManuel Sánchez-Montañés, Pablo Rodríguez-Belenguer et al.ARTICLEInternational Journal of…2020

    This paper analyzes a sample of patients hospitalized with COVID-19 in the region of Madrid (Spain). Survival analysis, logistic regression, and machine learning techniques (both supervised and unsupervised) are applied to carry out the analysis where the endpoint variable is the reason for hospital discharge (home or deceased). The different methods applied show the importance of variables such as age, O 2 saturation at Emergency Rooms (ER), and…

  • Physical Activity Monitoring and Acceptance of a Commercial Activity Tracker in Adult Patients with Haemophilia

    Open AccessJuan J Carrasco, Sofía Pérez‐Alenda et al.ARTICLEInternational Journal of…2019

    Physical activity (PA) is highly beneficial for people with haemophilia (PWH), however, studies that objectively monitor the PA in this population are scarce. This study aimed to monitor the daily PA and analyse its evolution over time in a cohort of PWH using a commercial activity tracker. In addition, this work analyses the relationship between PA levels, demographics, and joint health status, as well as the acceptance and adherence to the acti…

  • Visual Data Mining With Self-organizing Maps for 'Self-monitoring' Data Analysis

    Open AccessE Oliver, Iván Vallés-Ṕerez et al.ARTICLESociological Methods & Research2018References: 19

    Data collected in psychological studies are mainly characterized by containing a large number of variables (multidimensional data sets). Analyzing multidimensional data can be a difficult task, especially if only classical approaches are used (hypothesis tests, analyses of variance, linear models, etc.). Regarding multidimensional models, visual techniques play an important role because they can show the relationships among variables in a data se…

  • BioLab

    Open AccessJuan Guerrero, Juan F Guerrero et al.ARTICLEIEEE Transactions on Education2007

    This paper introduces and evaluates BioLab, a tool for teaching biosignal processing. BioLab has been used in the biomedical engineering module that is given in the second semester of the fifth year of the electronic engineering degree at the University of Valencia, Spain. This module and its correspondent curricular pathway are also reviewed. BioLab allows the results obtained with digital processing techniques to be shown interactively in the t…

  • An easy demonstration of the optimum value of the adaptation constant in the LMS algorithm [FIR filter theory]

    Open AccessEmilio Soria‐Olivas, E Soria-Olivas et al.ARTICLEIEEE Transactions on Education1998

    The least mean squares (LMS) is the most widely used algorithm among those proposed to adapt the coefficients of an FIR filter in order to minimize the mean-square error (MSE) between its output and the desired signal. Since the introduction of the LMS algorithm, many variants have been proposed to improve its performance. Doubtless, the most popular is the normalized LMS algorithm, which uses a value for the adaptation constant that assures the …