Mario Juez-Gil

Mario Juez-Gil
Universidad de Burgos | UBU · Civil Engineering

About

12
Publications
1,831
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84
Citations
Citations since 2017
12 Research Items
84 Citations
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2017201820192020202120222023010203040

Publications

Publications (12)
Article
One of the main goals of Big Data research, is to find new data mining methods that are able to process large amounts of data in acceptable times. In Big Data classification, as in traditional classification, class imbalance is a common problem that must be addressed, in the case of Big Data also looking for a solution that can be applied in an acc...
Article
Datasets are growing in size and complexity at a pace never seen before, forming ever larger datasets known as Big Data. A common problem for classification, especially in Big Data, is that the numerous examples of the different classes might not be balanced. Some decades ago, imbalanced classification was therefore introduced, to correct the tende...
Article
Full-text available
The prediction of multiple numeric outputs at the same time is called multi-target regression (MTR), and it has gained attention during the last decades. This task is a challenging research topic in supervised learning because it poses additional difficulties to traditional single-target regression (STR), and many real-world problems involve the pr...
Article
The Rotation Forest classifier is a successful ensemble method for a wide variety of data mining applications. However, the way in which Rotation Forest transforms the feature space through PCA, although powerful, penalizes training and prediction times, making it unfeasible for Big Data. In this paper, a MapReduce Rotation Forest and its implement...
Article
Over the past few decades, the remarkable prediction capabilities of ensemble methods have been used within a wide range of applications. Maximization of base-model ensemble accuracy and diversity are the keys to the heightened performance of these methods. One way to achieve diversity for training the base models is to generate artificial/syntheti...
Code
El Centro Nacional de Investigación sobre la Evolución Humana (CENIEH), se ha incorporado recientemente al proyecto europeo ARIANDEplus. Este tiene como objetivo estimular la investigación en áreas relacionadas con la arqueología mediante la integración de diversas infraestructuras de datos arqueológicas situadas en Europa. Son muchas las técnicas...
Conference Paper
Full-text available
La enseñanza en plataformas de aprendizaje en línea exige a los docentes analizar la actividad y rendimien- to de los estudiantes sobre los objetos de aprendizaje del curso. Todos los entornos virtuales de aprendiza- je implementan un módulo que permite recoger esta información. Pero estos datos en crudo necesitan ser procesados para facilitar el a...
Article
The detection of faulty machinery and its automated diagnosis is an industrial priority because efficient fault diagnosis implies efficient management of the maintenance times, reduction of energy consumption, reduction in overall costs and, most importantly, the availability of the machinery is ensured. Thus, this paper presents a new intelligent...
Article
Full-text available
Highly tensile manganese steel is in great demand owing to its high tensile strength under shock loads. All workpieces are produced through casting, because it is highly difficult to machine. The probabilistic aspects of its casting, its variable composition, and the different casting techniques must all be considered for the optimisation of its me...

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Project (1)
Project
The development of a Virtual Reality Simulator that can help factory workers to learn the main human risks during the control of bridge cranes. Artificial Intelligence techniques will be used to analyse the madurity of the workers in such tasks. Oculus Rift and Unreal Engine will be used to create the VR-Serious game.