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Ikasketa automatikoan oinarritutako ekarpenak pertsona-konputagailu elkarrekintza hobetzeko
(2019-12-19)
This PhD thesis contributes on designing and applying data mining techniques targeting the improvement of Human Computer Interaction (HCI) in different contexts. The main objectives of the thesis are to design systems based ...
Characterization of e-Government adoption in Europe
(Plos One, 2020-04-17)
The digital divide in Europe has not yet been bridged and thus more contributions towards understanding the factors affecting the different dimensions involved are required. This research offers some insights into the topic ...
Dynamic selection of the best base classifier in one versus one
(Elsevier, 2015-05-19)
Class binarization strategies decompose the original multi-class problem into several binary sub-problems. One versus One (OVO) is one of the most popular class binarization techniques, which considers every pair of classes ...
NewOneVersusOneAll method: NOV@
(Elsevier, 2014-04-19)
Binarization strategies decompose the original multi-class dataset into multiple two-class subsets, learning a different binary model for each new
subset. One-vs-All (OVA) and One-vs-One (OVO) are two of the most well-known ...
An efficient implementation of kernel density estimation for multi-core and many-core architectures
(Sage, 2015-03-16)
Kernel density estimation (KDE) is a statistical technique used to estimate the probability density function of a sample set with unknown density function. It is considered a fundamental data-smoothing problem for use with ...
A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing
(IEEE, 2014-02-25)
The high performance computing landscape is shifting from collections of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator ...
Kernel density estimation in accelerators: Implementation and performance evaluation
(ACM, 2016-02-01)
Kernel density estimation (KDE) is a popular technique used to estimate the probability density function of a random variable. KDE is considered a fundamental data smoothing algorithm, and it is a common building block in ...
Multi-objective environmental model evaluation by means of multidimensional kernel density estimators: Efficient and multi-core implementations
(2015-01-01)
We propose an extension to multiple dimensions of the univariate index of agreement between Probability Density Functions (PDFs) used in climate studies. We also provide a set of high-performance programs targeted both to ...
A survey on Sign Language machine translation
(Elsevier, 2023-03)
Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to communicate on a daily basis. However, the communication with hearing people still faces some barriers, mainly because of the scarce knowledge ...
Artificial Intelligence-based contributions to the detection of threats against information systems
(2023-11-20)
Esta tesis se centra en identificar los factores que hacen poco realistas las propuestas de detección de ataques en red (NIDS) y detectores de malware en Android. En el área de NIDS, se han estudiado la aplicabilidad en ...