Now showing items 1-20 of 127

    • Thumbnail

      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 ...
    • Thumbnail

      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, ...
    • Thumbnail

      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 ...
    • Thumbnail

      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 ...
    • Thumbnail

      A hierarchical architecture for recognising intentionality in mental tasks on a brain-computer interface 

      Salazar Ramírez, Asier ORCID; 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 ...
    • Thumbnail

      A Hybrid Control Approach for the Swing Free Transportation of a Double Pendulum with a Quadrotor 

      Estévez Sanz, Julián ORCID; López Guede, José Manuel ORCID; Garate Zubiaurre, Gorka; Graña Romay, Manuel María ORCID (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 ...
    • Thumbnail

      A mathematical analysis of EDAs with distance-based exponential models 

      Unanue Gual, Imanol; Merino Maestre, María ORCID; Lozano Alonso, José Antonio ORCID (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 ...
    • Thumbnail

      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 ...
    • Thumbnail

      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 ...
    • Thumbnail

      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 ORCID; 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 ...
    • Thumbnail

      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 ORCID; Graña Romay, Manuel María ORCID (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 ...
    • Thumbnail

      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 ...
    • Thumbnail

      Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization 

      Fernández Gauna, Borja ORCID; Graña Romay, Manuel María ORCID; 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 ...
    • Thumbnail

      Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications 

      Iriondo Azpiri, Ander; Lazkano Ortega, Elena; Ansuategi Cobo, Ander (MDPI, 2021-01-26)
      Grasping point detection has traditionally been a core robotic and computer vision problem. In recent years, deep learning based methods have been widely used to predict grasping points, and have shown strong generalization ...
    • Thumbnail

      An Agave Counting Methodology Based on Mathematical Morphology and Images Acquired through Unmanned Aerial Vehicles 

      Calvario Sánchez, Gabriela; Alarcón Martínez, Teresa Efigenia; Dalmau, Oscar; Sierra Araujo, Basilio ORCID; Hernández Gómez, María del Carmen ORCID (MDPI, 2020-11-02)
      Blue agave is an important commercial crop in Mexico, and it is the main source of the traditional mexican beverage known as tequila. The variety of blue agave crop known as Tequilana Weber is a crucial element for tequila ...
    • Thumbnail

      An ongoing review of speech emotion recognition 

      De Lope Asiaín, Jan Javier; Graña Romay, Manuel María ORCID (Elsevier, 2023-04)
      User emotional status recognition is becoming a key feature in advanced Human Computer Interfaces (HCI). A key source of emotional information is the spoken expression, which may be part of the interaction between the human ...
    • Thumbnail

      Analysis of dominant classes in universal adversarial perturbations 

      Vadillo Jueguen, Jon; Santana Hermida, Roberto ORCID; Lozano Alonso, José Antonio ORCID (Elsevier, 2022-01)
      The reasons why Deep Neural Networks are susceptible to being fooled by adversarial examples remains an open discussion. Indeed, many different strategies can be employed to efficiently generate adversarial attacks, some ...
    • Thumbnail

      Analysis of the Sensitivity of the End-Of-Turn Detection Task to Errors Generated by the Automatic Speech Recognition Process 

      Montenegro Portillo, César; Santana Hermida, Roberto ORCID; Lozano Alonso, José Antonio ORCID (Elsevier, 2021-04)
      An End-Of-Turn Detection Module (EOTD-M) is an essential component of automatic Spoken Dialogue Systems. The capability of correctly detecting whether a user?s utterance has ended or not improves the accuracy in interpreting ...
    • Thumbnail

      Applying Deep Learning Techniques for Sentiment Analysis to Assess Sustainable Transport 

      Serna Nocedal, Ainhoa; Soroa Echave, Aitor ORCID; Agerri Gascón, Rodrigo ORCID (MDPI, 2021-02-23)
      Users voluntarily generate large amounts of textual content by expressing their opinions, in social media and specialized portals, on every possible issue, including transport and sustainability. In this work we have ...
    • Thumbnail

      Are the statistical tests the best way to deal with the biomarker selection problem? 

      Urkullu Villanueva, Ari; Pérez, Aritz ORCID; Calvo Molinos, Borja ORCID (Springer, 2022-06)
      Statistical tests are a powerful set of tools when applied correctly, but unfortunately the extended misuse of them has caused great concern. Among many other applications, they are used in the detection of biomarkers so ...