Browsing by Subject "Regression analysis"
Now showing items 1-20 of 43
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Accelerating super-resolution for 4K upscaling
(Institute of Electrical and Electronics Engineers (IEEE), 2015)
Conference report
Restricted access - publisher's policyThis paper presents a fast Super-Resolution (SR) algorithm based on a selective patch processing. Motivated by the observation that some regions of images are smooth and unfocused and can be properly upscaled with fast ... -
A general illumination model for molecular visualization
(2018-06)
Article
Open AccessSeveral visual representations have been developed over the years to visualize molecular structures, and to enable a better understanding of their underlying chemical processes. Today, the most frequently used atom-based ... -
Análisis de la evolución de pequeñas áreas urbanas utilizando análisis cluster y regresiones logísticas: un estudio de caso en Ribadeo (NO de España)
(Department of Civil Engineering of the University of Coimbra and e-GEO, Research Center in Geography and Regional Planning of the Faculty of Social Sciences and Humanities of the Nova University of Lisbon, 2011-10)
Conference report
Open AccessLa necesidad de encontrar soluciones a los problemas derivados del crecimiento urbano ha llevado al desarrollo de metodologías para el análisis de los procesos que lo regulan. Estos procesos son complejos y operan a varias ... -
Análisis de regresión beta a través de distancias
(Universitat Politècnica de Catalunya, 2010-06)
Master thesis
Open AccessEn este trabajo, se propone una metodología basada en distancias con la finalidad de ajustar variables respuesta tipo beta de precisión constante y covariables de dispersión; se presenta el modelo propuesto, se realiza la ... -
An Overnight parcel logistics company’s capillary distribution network design by regression analysis
(2012)
Conference report
Restricted access - publisher's policyThis article will explore and analyse how to design the capillary distribution network of an Overnight Parcel Logistics Company (hereby referred to as OPLC). The OPLC needs to design a capillary distribution network that ... -
Aplicació dels model de regressió logística amb efectes aleatoris per modelar les complicacions del càncer colorectal
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2016-06)
Master thesis
Restricted access - author's decision
Covenantee: Corporació Sanitària Parc TaulíAquest treball tracta sobre un estudi de cohort prospectiu, multicèntric, realitzat en 22 hospitals d'Espanya. La població d'estudi són pacients programats o atesos a urgències per una cirurgia de càncer colorectal (CCR). ... -
Caracterización de tráfico dinámico en redes ópticas elásticas
(Universitat Politècnica de Catalunya, 2012-07)
Master thesis (pre-Bologna period)
Open AccessEn la actualidad, la mayor cantidad de tráfico transportado en las redes de comunicaciones ópticas es tráfico IP. Este tráfico aumenta exponencialmente debido a la aparición de aplicaciones que consumen mucho ancho de banda ... -
Caracterización y repetibilidad de la mecánica de las trayectorias de vuelo del Larus Audouinii
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2020-01)
Master thesis
Open AccessEn los últimos años, ha crecido la disponibilidad de datos georeferenciados para estudiar el comportamiento de los animales: composición de su hábitat, estudios de migración, entre otros. La trayectoria de los animales es ... -
Circuit propagation delay estimation through multivariate regression-based modeling under spatio-temporal variability
(Institute of Electrical and Electronics Engineers (IEEE), 2010)
Conference report
Restricted access - publisher's policyWith every process generation, the problem of variability in physical parameters and environmental conditions poses a great challenge to the design of fast and reliable circuits. Propagation delays which decide circuit ... -
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks
(2010-06)
External research report
Open AccessRecently, error minimized extreme learning machines (EM-ELMs) have been proposed as a simple and efficient approach to build single-hidden-layer feed-forward networks (SLFNs) sequentially. They add random hidden nodes one ... -
Comparing error minimized extreme learning machines and support vector sequential feed-forward neural networks
(2012-01)
Article
Restricted access - publisher's policyRecently, error minimized extreme learning machines (EM-ELMs) have been proposed as a simple and efficient approach to build single-hidden-layer feed-forward networks (SLFNs) sequentially. They add random hidden nodes one ... -
Determining the performance of soldiers depending on their position in some social networks
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2018-06)
Master thesis
Restricted access - author's decision
Covenantee: UPC / IESE Business SchoolA social network can be defined as a group of entities linked between each other by means of some relational tie. Several studies indicate the existence of an influence of social networks on job performance. This thesis ... -
Diagnostic measures for linear mixed measurement error models
(Institut d'Estadística de Catalunya, 2011)
Article
Open AccessIn this paper, we present case deletion and mean shift outlie r models for linear mixed measure- ment error models using the corrected likelihood of Nakamur a (1990). We derive the corrected score test statistic for ... -
Distributed multivariate regression with unknown noise covariance in the presence of outliers: an MDL approach
(Institute of Electrical and Electronics Engineers (IEEE), 2016)
Conference report
Open AccessWe consider the problem of estimating the coefficients in a multivariable linear model by means of a wireless sensor network which may be affected by anomalous measurements. The noise covariance matrices at the different ... -
Estimación del riesgo relativo mediante el modelo log-binomial
(Universitat Politècnica de Catalunya / Universitat de Barcelona, 2016-06)
Master thesis
Restricted access - author's decisionA pesar de que el modelo de regresión log-binomial permite la estimación del riesgo relativo (RR) es un modelo poco usado en la epidemiología. Se suele usar con mucha más frecuencia el modelo de regresión logística que ... -
Estudi de l'herbivorisme del Senecio mitjançant models zero-inflats
(Universitat Politècnica de Catalunya, 2014-06)
Master thesis
Open AccessEls estudis ecològics que involucren recomptes d'abundància o de presència-absència sovint produeixen dades amb un excés de zeros. Una forma de tractar amb l'excés de zeros és considerar els models zeros inflats. Aquests ... -
Extended linear models with Gaussian prior on the parameters and adaptive expansion vectors
(Springer, 2007)
Conference report
Open AccessWe present an approximate Bayesian method for regression and classification with models linear in the parameters. Similar to the Relevance Vector Machine (RVM), each parameter is associated with an expansion vector. Unlike ... -
Forecasting day ahead electricity price using ARMA methods
(Universitat Politècnica de Catalunya / Universidade de São Paulo, 2015)
Bachelor thesis
Open Access
Covenantee: Universidade de São PauloThe main objective in this research is to predict day-ahead prices using ARMA. Box and Jenkins developed a regression model to identify, assess and diagnose dynamic time series models in which the time variable plays a key ... -
Hurdle negative binomial regression model with right censored count data
(Institut d'Estadística de Catalunya, 2012)
Article
Open AccessA Poisson model typically is assumed for count data. In many cases because of many zeros in the response variable, the mean is not equal to the variance value of the dependent variable. Therefore, the Poisson model is ... -
Increasing polynomial regression complexity for data anonymization
(IEEE Computer Society, 2007)
Conference report
Open AccessPervasive computing and the increasing networking needs usually demand from publishing data without revealing sensible information. Among several data protection methods proposed in the literature, those based on linear ...
