VolverExaminar Artículos, Comunicaciones, Libros por departamento (eus.) "Konputazio zientziak eta adimen artifiziala"
Mostrando ítems 41-60 de 160
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Creative Chord Sequence Generation for Electronic Dance Music
(MDPI, 2018-09-19)This paper describes the theory and implementation of a digital audio workstation plug-in for chord sequence generation. The plug-in is intended to encourage and inspire a composer of electronic dance music to explore loops ... -
Data Preprocessing and Model Design for Medicine Problems
(Hindawi Publishing Corporation, 2013)... -
dbcsp: User-friendly R package for Distance-Based Common Spatial Patterns
; ; Sierra Araujo, Basilio
; (The R Foundation, 2022-12-20)
Common Spatial Patterns (CSP) is a widely used method to analyse electroencephalography (EEG) data, concerning the supervised classification of the activity of brain. More generally, it can be useful to distinguish between ... -
Deep learning based domain adaptation for mitochondria segmentation on EM volumes.
(Elsevier, 2022-07)[EN] BACKGROUND AND OBJECTIVE: Accurate segmentation of electron microscopy (EM) volumes of the brain is essential to characterize neuronal structures at a cell or organelle level. While supervised deep learning methods ... -
Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval
Alirezazadeh, Pendar; ; Moujahid, Abdelmalik (MDPI, 2022-03-30)
Consumer-to-shop clothes retrieval refers to the problem of matching photos taken by customers with their counterparts in the shop. Due to some problems, such as a large number of clothing categories, different appearances ... -
Deep transfer learning-based gaze tracking for behavioral activity recognition
(Elsevier, 2022-08)Computational Ethology studies focused on human beings is usually referred as Human Activity Recognition (HAR). Specifically, this paper belongs to a line of work on the identification of broad cognitive activities that ... -
Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach
(MDPI, 2021-10-23)Surface flatness assessment is necessary for quality control of metal sheets manufactured from steel coils by roll leveling and cutting. Mechanical-contact-based flatness sensors are being replaced by modern laser-based ... -
Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms
(MDPI, 2021-12-20)In this paper, we tackle the problem of deploying face recognition (FR) solutions in heterogeneous Internet of Things (IoT) platforms. The main challenges are the optimal deployment of deep neural networks (DNNs) in the ... -
Detecting the presence-absence of bluefin tuna by automated analysis of medium-range sonars on fishing vessels
; ; ; Hernández Gómez, María del Carmen; ; ; ; ; (Public Library Science, 2017-02-02)
This study presents a methodology for the automated analysis of commercial medium range sonar signals for detecting presence/absence of bluefin tuna (Tunnus thynnus) in the Bay of Biscay. The approach uses image processing ... -
Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients
; ; ; Calvo Molinos, Borja; ; ; Inza Cano, Iñaki ; ; ; ; ; (Public Library of Science, 2009-07-20)
Differences in gene expression patterns have been documented not only in Multiple Sclerosis patients versus healthy controls but also in the relapse of the disease. Recently a new gene expression modulator has been identified: ... -
Dynamic mosaic planning for a robotic bin-packing system based on picked part and target box monitoring
(Springer, 2023-03)This paper describes the dynamic mosaic planning method developed in the context of the PICKPLACE European project. The dynamic planner has allowed the development of a robotic system capable of packing a wide variety of ... -
Dynamic selection of the best base classifier in one versus one
Mendialdua Beitia, Iñigo; ; Rodríguez Rodríguez, Igor ; ; Sierra Araujo, Basilio (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 ... -
EDAR 4.0: Machine Learning and Visual Analytics for Wastewater Management
; ; ; ; ; ; ; ; Sierra Araujo, Basilio (MDPI, 2024-04-24)
Wastewater treatment plant (WWTP) operations manage massive amounts of data that can be gathered with new Industry 4.0 technologies such as the Internet of Things and Big Data. These data are critical to allow the wastewater ... -
Editorial for the Special Issue Recognition Robotics
(MDPI, 2023-10-17)Perception of the environment is an essential skill for robotic applications that interact with their surroundings. Alongside perception often comes the ability to recognize objects, people, or dynamic situations. This ... -
Efficient implementation of symplectic implicit Runge-Kutta schemes with simplified Newton iterations
Antoñana, Mikel; Makazaga Odria, Joseba; Murua, Ander (2017-03-30)
We are concerned with the efficient implementation of symplectic implicit Runge-Kutta (IRK) methods applied to systems of (non-necessarily Hamiltonian) ordinary differential equations by means of Newton-like iterations. ... -
Efficient multi-task based facial landmark and gesture detection in monocular images
(SciTePress, Science and Technology Publications, Lda, 2021)[EN] The communication between persons includes several channels to exchange information between individuals. The non-verbal communication contains valuable information about the context of the conversation and it is a ... -
Egocentric Vision-based Action Recognition: A survey
(Elsevier, 2022-02)[EN] The egocentric action recognition EAR field has recently increased its popularity due to the affordable and lightweight wearable cameras available nowadays such as GoPro and similars. Therefore, the amount of egocentric ... -
Embedding-based real-time change point detection with application to activity segmentation in smart home time series data
(Elsevier, 2021-12-15)[EN]Human activity recognition systems are essential to enable many assistive applications. Those systems can be sensor-based or vision-based. When sensor-based systems are deployed in real environments, they must segment ... -
Energy and information in Hodgkin-Huxley neurons
Moujahid, Abdelmalik; D Anjou, A.; Torrealdea Folgado, Francisco Javier; Torrealdea, Francisco (American Physical Society, 2011-03-21)
[EN]The generation of spikes by neurons is energetically a costly process and the evaluation of the metabolic energy required to maintain the signaling activity of neurons a challenge of practical interest. Neuron models ... -
Energy demands of diverse spiking cells from the neocortex, hippocampus, and thalamus
Moujahid, Abdelmalik; D’Anjou, Alicia; (Frontiers Research Foundation, 2014-04-08)
It has long been known that neurons in the brain are not physiologically homogeneous. In response to current stimulus, they can fire several distinct patterns of action potentials that are associated with different ...