Buscar
Mostrando ítems 1-10 de 55
Artículo
Ponencia
¿Where do we go? OnTheWay: A prediction system for spatial locations
(Universidad de Alcalá, 2006)
In ubiquitous computing we need to know the present context in order to interact properly with the nearby smart elements. When we are moving outdoors, mobile devices take a very important role because they provide us with ...
Ponencia
Analysing Food-Porn Images for Users’ Engagement in the Food Business
(IOS Press, 2022)
This paper presents an approach for analysing food-porn images and their related comments published by the cooking school Getcookingcanada Instagram account. Our approach processes the published images to extract colour ...
Artículo
Improving SVM classification on imbalanced datasets by introducing a new bias.
(Springer US, 2017)
Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, can show poor performance on the minority class because SVMs were designed to induce a model based on the overall error. ...
Artículo
Impuestos moderados, según Ibn Jaldún
(2012)
Ibn Jaldún foi um dos primeiros expoentes (século XIV) do liberalismo económico que teve uma concepção materialista da história. Assim se explica que mencione instituições do âmbito da economia e exponha o seu pensamento ...
Ponencia
Defining Adaptive Learning Paths For Competence-Oriented Learning
(IADIS Press, 2008)
This paper presents a way to describe educational itineraries in a competence-oriented learning system in order to solve the problem of sequencing several independent courses. The main objective is to extract adaptive ...
Artículo
A Novel Approach to Trojan Horse Detection in Mobile Phones Messaging and Bluetooth Services
(Korean Society for Internet Information, 2011)
A method to detect Trojan horses in messaging and Bluetooth in mobile phones by means of monitoring the events produced by the infections is presented in this paper. The structure of the detection approach is split into ...
Ponencia
A post-processing strategy for SVM learning from unbalanced data
(Ciaco, 2011)
Standard learning algorithms may perform poorly when learning from unbalanced datasets. Based on the Fisher’s discriminant analysis, a post-processing strategy is introduced to deal datasets with significant imbalance in ...
Artículo
Some commentaries on confidence intervals of the mean in a Normal population
(Sociedad Española de Estadística e Investigación Operativa, 2010)
In this paper, a study on the length of confidence intervals of the mean in a Normal population when the variance is either known or unknown is carried out. It is also proved that ignoring the population variance ...
Tesis Doctoral
Estudio sobre la influencia del color en las emociones de bienestar - intenciones de comportamiento en una habitación de hotel
(2023-09-14)
Esta tesis tiene como objetivo estudiar el efecto del color en las emociones de bienestar y las intenciones de comportamiento de posibles huéspedes y/o turistas en una habitación de hotel. El marco conceptual del estudio ...