BackExaminar por departamento (cas.) "Ciencia de la computación e inteligencia artificial"
Now showing items 1-20 of 288
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3D Convolutional Neural Networks Initialized from Pretrained 2D Convolutional Neural Networks for Classification of Industrial Parts
Merino Bermejo, Ibon; Azpiazu Lozano, Jon; Remazeilles, Anthony; Sierra Araujo, Basilio
(MDPI, 2021-02-04)
Abstract Deep learning methods have been successfully applied to image processing, mainly using 2D vision sensors. Recently, the rise of depth cameras and other similar 3D sensors has opened the field for new perception ... -
A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments
(MDPI, 2022-01-18)Behavior modeling has multiple applications in the intelligent environment domain. It has been used in different tasks, such as the stratification of different pathologies, prediction of the user actions and activities, ... -
A Computational Analysis of Protein-Protein Interaction Networks in Neurodegenerative Diseases
(Biomed Central, 2008-06-20)Background: Recent developments have meant that network theory is making an important contribution to the topological study of biological networks, such as protein-protein interaction (PPI) networks. The identification of ... -
A detailed investigation of classification methods for vowel speech imagery recognition
Santana Hermida, Roberto (2013-12-18)
Accurate and fast decoding of speech imagery from electroencephalographic (EEG) data could serve as a basis for a new generation of brain computer interfaces (BCIs), more portable and easier to use. However, decoding of ... -
A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images
(MDPI, 2011)This paper presents a model-based approach for reconstructing 3D polyhedral building models from aerial images. The proposed approach exploits some geometric and photometric properties resulting from the perspective ... -
A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface
; Martín Aramburu, José Ignacio; Martínez Rodríguez, Raquel ; Arruti Illarramendi, Andoni ; ; Sierra Araujo, Basilio (Public Library Science, 2019-06-18)
A brain-computer interface (BCI), based on motor imagery EEG, uses information extracted from the electroencephalography signals generated by a person who intends to perform any action. One of the most important issues of ... -
A Hybrid Control Approach for the Swing Free Transportation of a Double Pendulum with a Quadrotor
Estévez Sanz, Julián; López Guede, José Manuel ; ; (MDPI, 2021-06-13)
In this article, a control strategy approach is proposed for a system consisting of a quadrotor transporting a double pendulum. In our case, we attempt to achieve a swing free transportation of the pendulum, while the ... -
A mathematical analysis of EDAs with distance-based exponential models
; Merino Maestre, María; (Springer, 2022)
Estimation of Distribution Algorithms have been successfully used to solve permutation-based Combinatorial Optimization Problems. In this case, the algorithms use probabilistic models specifically designed for codifying ... -
A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs
; Sierra Araujo, Basilio; ; Hernández Gómez, María del Carmen ; (MDPI, 2017-06)
The use of Unmanned Aerial Vehicles (UAVs) based on remote sensing has generated low cost monitoring, since the data can be acquired quickly and easily. This paper reports the experience related to agave crop analysis with ... -
A Narrative Review of Haptic Technologies and Their Value for Training, Rehabilitation, and the Education of Persons with Special Needs
; Larrea Sukia, Mikel; (MDPI, 2024-10-29)
Haptic technologies are increasingly valuable for human–computer interaction in its many flavors, including, of course, virtual reality systems, which are becoming very useful tools for education, training, and ... -
A Preprocessing Procedure for Haplotype Inference by Pure Parsimony
Irurozki, Ekhine; Calvo Molinos, Borja; (2010)
Haplotype data is especially important in the study of complex diseases since it contains more information than genotype data. However, obtaining haplotype data is technically difficult and expensive. Computational methods ... -
A quantitative analysis of estimation of distribution algorithms based on Bayesian networks
; ; Santana Hermida, Roberto; (2009)
The successful application of estimation of distribution algorithms (EDAs) to solve different kinds of problems has reinforced their candidature as promising black-box optimization tools. However, their internal behavior is ... -
A Real Application of an Autonomous Industrial Mobile Manipulator within Industrial Context
Outón Méndez, José Luis; Merino Bermejo, Ibon; Villaverde, Iván; Ibarguren Soldevilla, Aitor; Herrero Cueva, Héctor; Daelman, Paul; Sierra Araujo, Basilio (MDPI, 2021-05-27)
In modern industry there are still a large number of low added-value processes that can be automated or semi-automated with safe cooperation between robot and human operators. The European SHERLOCK project aims to integrate ... -
A Review of Estimation of Distribution Algorithms in Bioinformatics
Armañanzas Arnedillo, Rubén; Inza Cano, Iñaki; Santana Hermida, Roberto ; Saeys, Yvan; Flores Barroso, Jose Luis; ; Van de Peer, Yves; Blanco, Rosa; Robles Forcada, Víctor; Bielza, Concha; Larrañaga Múgica, Pedro (Biomed Central, 2008-09-11)
Evolutionary search algorithms have become an essential asset in the algorithmic toolbox for solving high-dimensional optimization problems in across a broad range of bioinformatics problems. Genetic algorithms, the most ... -
A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems
Ceberio Uribe, Josu; Irurozki, Ekhine; ; (2011)
Estimation of Distribution Algorithms (EDAs) are a set of algorithms that belong to the field of Evolutionary Computation. Characterized by the use of probabilistic models to represent the solutions and the dependencies ... -
A revisited branch-and-cut algorithm for large-scale orienteering problems
Kobeaga Urriolabeitia, Gorka; ; Merino Maestre, María ; (Elsevier, 2024-02)
The orienteering problem is a route optimization problem which consists of finding a simple cycle that maximizes the total collected profit subject to a maximum distance limitation. In the last few decades, the occurrence ... -
A secure data publishing and access service for sensitive data from Living Labs: enabling collaboration with external researchers via shareable data
(MDPI, 2024-05-28)Intending to enable a broader collaboration with the scientific community while maintaining privacy of the data stored and generated in Living Labs, this paper presents the Shareable Data Publishing and Access Service for ... -
A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation
(2009)In the machine learning field the performance of a classifier is usually measured in terms of prediction error. In most real-world problems, the error cannot be exactly calculated and it must be estimated. Therefore, it’s ... -
A Tunable Generator of Instances of Permutation-Based Combinatorial Optimization Problems
Hernando Rodríguez, Leticia; ; (2016-04)
[EN]In this paper, we propose a tunable generator of instances of permutation-based Combinatorial Optimization Problems. Our approach is based on a probabilistic model for permutations, called the Generalized Mallows model. ... -
Above-ground biomass estimation from LiDAR data using random forest algorithms
Torre Tojal, Leyre; ; Boyano Murillo, Ana Isabel ; López Guede, José Manuel ; (Elsevier, 2022-02)
Random forest (RF) models were developed to estimate the biomass for the Pinus radiata species in a region of the Basque Autonomous Community where this species has high cover, using the National Forest Inventory, allometric ...