Now showing items 1-20 of 254

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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 ORCID (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 ...
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      A Comparative Analysis of Human Behavior Prediction Approaches in Intelligent Environments 

      Almeida, Aitor; Bermejo Fernández, Unai; Bilbao Jayo, Aritz; Azkune Galparsoro, Gorka; Aguilera, Unai; Emaldi, Mikel; Dornaika, Fadi; Arganda Carreras, Ignacio (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, ...
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      A Computational Analysis of Protein-Protein Interaction Networks in Neurodegenerative Diseases 

      Goñi Cortés, Joaquín; Esteban Ruiz, Francisco J.; Vélez de Mendizábal, Nieves; Sepulcre, Jorge; Ardanza Trevijano, Sergio; Agirrezabal, Ion; Villoslada, Pablo (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 ...
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      A detailed investigation of classification methods for vowel speech imagery recognition 

      Santana Hermida, Roberto ORCID (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 ...
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      A Featureless Approach to 3D Polyhedral Building Modeling from Aerial Images 

      Hammoudi, Karim; Dornaika, Fadi (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 ...
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      A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface 

      Salazar Ramírez, Asier; Martín Aramburu, José Ignacio ORCID; Martínez Rodríguez, Raquel ORCID; Arruti Illarramendi, Andoni ORCID; Muguerza Rivero, Javier Francisco; Sierra Araujo, Basilio ORCID (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 ...
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      A Hybrid Control Approach for the Swing Free Transportation of a Double Pendulum with a Quadrotor 

      Estévez Sanz, Julián ORCID; López Guede, José Manuel; Garate Zubiaurre, Gorka; Graña Romay, Manuel María (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 ...
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      A mathematical analysis of EDAs with distance-based exponential models 

      Unanue Gual, Imanol; Merino Maestre, María ORCID; Lozano Alonso, José Antonio (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 ...
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      A Multi-Disciplinary Approach to Remote Sensing through Low-Cost UAVs 

      Calvario Sánchez, Gabriela; Sierra Araujo, Basilio ORCID; Alarcón, Teresa E.; Hernández Gómez, María del Carmen ORCID; Dalmau, Oscar (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 ...
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      A Preprocessing Procedure for Haplotype Inference by Pure Parsimony 

      Irurozki, Ekhine; Calvo Molinos, Borja ORCID; Lozano Alonso, José Antonio (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 ...
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      A quantitative analysis of estimation of distribution algorithms based on Bayesian networks 

      Echegoyen Arruti, Carlos; Mendiburu Alberro, Alexander; Santana Hermida, Roberto ORCID; Lozano Alonso, José Antonio (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 ...
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      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 ORCID (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 ...
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      A Review of Estimation of Distribution Algorithms in Bioinformatics 

      Armañanzas Arnedillo, Rubén; Inza Cano, Iñaki ORCID; Santana Hermida, Roberto ORCID; Saeys, Yvan; Flores Barroso, Jose Luis; Lozano Alonso, José Antonio; 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 ...
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      A review on Estimation of Distribution Algorithms in Permutation-based Combinatorial Optimization Problems 

      Ceberio Uribe, Josu ORCID; Irurozki, Ekhine; Mendiburu Alberro, Alexander; Lozano Alonso, José Antonio (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 ...
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      A revisited branch-and-cut algorithm for large-scale orienteering problems 

      Kobeaga Urriolabeitia, Gorka ORCID; Rojas Delgado, Jairo; Merino Maestre, María ORCID; Lozano Alonso, José Antonio (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 ...
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      A sensitivity study of bias and variance of k-fold cross-validation in prediction error estimation 

      Rodríguez Fernández, Juan Diego; Pérez Martínez, Aritz; Lozano Alonso, José Antonio (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 ...
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      Above-ground biomass estimation from LiDAR data using random forest algorithms 

      Torre Tojal, Leyre ORCID; Bastarrica Izaguirre, Aitor ORCID; Boyano Murillo, Ana Isabel ORCID; López Guede, José Manuel; Graña Romay, Manuel María (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 ...
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      Active Mapping and Robot Exploration: A Survey 

      Lluvia Hermosilla, Iker; Lazkano Ortega, Elena; Ansuategi Cobo, Ander (MDPI, 2021-04-02)
      Simultaneous localization and mapping responds to the problem of building a map of the environment without any prior information and based on the data obtained from one or more sensors. In most situations, the robot is ...
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      Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization 

      Fernández Gauna, Borja; Graña Romay, Manuel María; Osa Amilibia, Juan Luis ORCID; Larrucea Uriarte, Xabier (Elsevier, 2022-04)
      [EN] The control of Variable-Speed Wind-Turbines (VSWT) extracting electrical power from the wind kinetic energy are composed of subsystems that need to be controlled jointly, namely the blade pitch and the generator torque ...
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      Advances in Branch-and-Fix methods to solve the Hamiltonian cycle problem in manufacturing optimization 

      Murua Etxeberria, Maialen (2022-03-29)
      Esta tesis parte del problema de la optimización de la ruta de la herramienta donde se contribuye con unsistema de soporte para la toma de decisiones que genera rutas óptimas en la tecnología de FabricaciónAditiva. Esta ...