Visualitzant Institute of New Imaging Technologies (INIT) per títol
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Erythrocyte shape classification using integral-geometry-based methods
Springer (2015)Erythrocyte shape deformations are related to different important illnesses. In this paper, we focus on one of the most important: the Sickle cell disease. This disease causes the hardening or polymerization of the hemoglobin ... -
Estimates of the first Dirichlet eigenvalue from exit time moment spectra
Springer Verlag (2016)We compute the first Dirichlet eigenvalue of a geodesic ball in a rotationally symmetric model space in terms of the moment spectrum for the Brownian motion exit times from the ball. As an application of the model space ... -
Estimating Space and Space-Time Covariance Functions for Large Data Sets: A Weighted Composite Likelihood Approach
American Statistical Association (2012)In the last years there has been a growing interest in the construction space-time covariance functions. However, effective estimation methods for these models are some- how unexplored. In this paper we propose a composite ... -
Estimation and prediction of time-varying GARCH models through a state-space representation: a computational approach
Taylor & Francis (2017-06-05)We propose a state-space approach for GARCH models with time-varying parameters able to deal with non-stationarity that is usually observed in a wide variety of time series. The parameters of the non-stationary model are ... -
Estudio crítico de los índices de severidad y la superficie afectada por el incendio de Sierra de Luna (Zaragoza)
Asociación Española de Teledetección (2017)Para la determinación del área quemada y la severidad asociada del incendio de Sierra de Luna (Zaragoza), ocurrido el 4 de julio de 2015, se han calculado tres índices espectrales derivados de Landsat-8: NDVI, NBR y BAI. ... -
Estudio empírico del enfoque asociativo en el contexto de los problemas de clasificación
Centro de Investigacion en Computacion (CIC) del Instituto Politecnico Nacional (IPN) (2019)Research carried out by the scientific community has shown that the performance of the classifiers depends not only on the learning rule, if not also on the complexities inherent in the data sets. Some traditional classifiers ... -
Ethical Considerations For Conducting Research With Virtual Reality In Education: Establishing Requirements For Consent Forms
IATED - International Academy of Technology, Education and Development (2023)The widespread adoption of Immersive Virtual Reality (VR) is an undeniable reality. Currently, major tech companies like Meta, HP, Microsoft, and Apple are engaged in fierce competition to capture a significant share of ... -
Evaluación del uso y necesidades de información geoespacial de los profesionales en prevención y extinción de incendios forestales
Geofocus (2012)La información geoespacial necesaria para la gestión de los incendios forestales es muy amplia y diversa. Cada profesional que interviene en un incendio forestal actúa en diferentes fases (prevención, extinción), contexto ... -
Evaluación y adaptación de la orientación vocacional/profesional del alumnado con diversidad en educación secundaria en un contexto inclusivo
Universidad de Playa Ancha (2017)La falta de estudios que relacionen la orientación vocacional/profesional del alumnado con diversidad dentro de una situación inclusiva, nos llevó a evaluar sus necesidades de orientación a partir de la percepción del ... -
Evaluating different i*-based approaches for selecting functional requirements while balancing and optimizing non-functional requirements: A controlled experiment
Elsevier (2018-09)Context A relevant question in requirements engineering is which set of functional requirements (FR) to prioritize and implement, while keeping non-functional requirements (NFR) balanced and optimized. Objective We ... -
Evaluating Indoor Localization Solutions in Large Environments Through Competitive Benchmarking: The EvAAL-ETRI Competition
IEEE (2015)The increasing demand for services and higher comfort levels inside buildings, together with the rise in time spent indoor, ensure an upward trend in indoor localization demand for the future. Evaluation of indoor localization ... -
Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned From the IPIN 2018 Competition
IEEE (2019-09-30)The Indoor Positioning and Indoor Navigation (IPIN) conference holds an annual competition in which indoor localization systems from different research groups worldwide are evaluated empirically. The objective of this ... -
Evaluation of an Age-Friendly City and Its Effect on Life Satisfaction: A Two-Stage Study
MDPI (2019-12-12)Due to the ageing of the world’s population, age-friendly cities are emerging to promote active ageing by optimising opportunities for health, participation and safety, in order to improve the quality of life of older ... -
Experimental Demonstration of the Quasi-Direct Space-to-Time Pulse Shaping Principle
Institute of Electrical and Electronics Engineers (IEEE) (2012)A new strategy of pulse shaping based on the quasi-direct space-to-time (QDST) conversion principle has been recently proposed theoretically [Mínguez-Vega et al., Opt. Express 16, 16993 (2008)]. In this letter, the ... -
Experimental generation of high-contrast Talbot images with an ultrashort laser pulse
Elsevier (2008)A femtosecond Ti:sapphire laser oscillator emitting pulses with 800 nm central wavelength, 10.9 fs pulse width, and 75 MHz repetition rate, combined with a dispersion-compensated diffractive system, was used to implement ... -
Exploring some practical issues of SVM+: Is really privileged information that helps?
Elsevier (2014)Learning using privileged information (LUPI) is a machine learning paradigm which aims at improving classification by taking advantage of information that is only available at training time —not at test time. SVM+ is an ... -
Exploring the behaviour of base classifiers in credit scoring ensembles
Elsevier (2012)Many techniques have been proposed for credit risk assessment, from statistical models to artificial intelligence methods. During the last few years, different approaches to classifier ensembles have successfully been ... -
Exploring the synergetic effects of sample types on the performance of ensembles for credit risk and corporate bankruptcy prediction
Elsevier (2018-07)Credit risk and corporate bankruptcy prediction has widely been studied as a binary classification problem using both advanced statistical and machine learning models. Ensembles of classifiers have demonstrated their ... -
Extended 3D annotations as a new mechanism to explicitly communicate geometric design intent and increase CAD model reusability
Elsevier (2014-12)A successful implementation of the Model-Based Enterprise concept (MBE) requires maximizing the potential benefits of annotated 3D models. The foundations of the MBE model are established by digital product definition data ... -
Extracting datums to reconstruct CSG models from 2D engineering sketches of polyhedral shapes
Elsevier (2022)Our goal is to automatically generate CAD 3D models from 2D sketches as part of a design chain where models should be procedural, containing features arranged in a model tree and linked to suitable datums. Current procedural ...