BackExaminar Artículos por departamento (eus.) "Konputazio zientziak eta adimen artifiziala"
Now showing items 1-20 of 113
-
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 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
Salazar Ramírez, Asier; Martín Aramburu, José Ignacio ; Martínez Rodríguez, Raquel ; Arruti Illarramendi, Andoni ; Muguerza Rivero, Javier Francisco ; 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 ; ; 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 ... -
A mathematical analysis of EDAs with distance-based exponential models
; Merino Maestre, María; 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 ... -
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 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; 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 ... -
Above-ground biomass estimation from LiDAR data using random forest algorithms
Torre Tojal, Leyre; Bastarrica Izaguirre, Aitor ; Boyano Murillo, Ana Isabel ; 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 ... -
Active Mapping and Robot Exploration: A Survey
(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 ... -
Actor-critic continuous state reinforcement learning for wind-turbine control robust optimization
Fernández Gauna, Borja; Graña Romay, Manuel María ; Osa Amilibia, Juan Luis ; 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 ... -
Affordance-Based Grasping Point Detection Using Graph Convolutional Networks for Industrial Bin-Picking Applications
(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 ... -
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; Hernández Gómez, María del Carmen (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 ... -
An ongoing review of speech emotion recognition
; Graña Romay, Manuel María (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 ... -
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; Lozano Alonso, José Antonio (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 ... -
Applying Deep Learning Techniques for Sentiment Analysis to Assess Sustainable Transport
; Soroa Echave, Aitor; Agerri Gascón, Rodrigo (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 ... -
Are the statistical tests the best way to deal with the biomarker selection problem?
; Pérez, Aritz; Calvo Molinos, Borja (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 ... -
Automatic feedback and assessment of team-coding assignments in a DevOps context
Fernández Gauna, Borja; Rojo Azaceta, Naiara ; Graña Romay, Manuel María (Springer, 2023)
We describe an automated assessment process for team-coding assignments based on DevOps best practices. This system and methodology includes the definition of Team Performance Metrics measuring properties of the software ...