BackExaminar OpenAire por departamento (eus.) "Konputazio zientziak eta adimen artifiziala"
Now showing items 1-20 of 23
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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 ... -
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
; (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 ... -
Behavioral Activity Recognition Based on Gaze Ethograms
(World Scientific Publishing, 2020-07)Noninvasive behavior observation techniques allow more natural human behavior assessment experiments with higher ecological validity. We propose the use of gaze ethograms in the context of user interaction with a computer ... -
COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations
(MDPI, 2021-10-30)The global population is aging in an unprecedented manner and the challenges for improving the lives of older adults are currently both a strong priority in the political and healthcare arena. In this sense, preventive ... -
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 ... -
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 ... -
Identification and measurement of tropical tuna species in purse seiner catches using computer vision and deep learning
(Elsevier, 2022-03)Fishery monitoring programs are essential for effective management of marine resources, as they provide scientists and managers with the necessary data for both the preparation of scientific advice and fisheries control ... -
Impact of Machine Learning Pipeline Choices in Autism Prediction from Functional Connectivity Data
(World Scientific, 2021-01-20)Autism Spectrum Disorder (ASD) is a largely prevalent neurodevelopmental condition with a big social and economical impact affecting the entire life of families. There is an intense search for biomarkers that can be assessed ... -
Improved Activity Recognition Combining Inertial Motion Sensors and Electroencephalogram Signals
(World Scientific Publishing, 2020-10)Human activity recognition and neural activity analysis are the basis for human computational neureoethology research dealing with the simultaneous analysis of behavioral ethogram descriptions and neural activity measurements. ... -
Indoor Crowd 3D Localization in Big Buildings from Wi-Fi Access Anonymous Data
(MDPI, 2019-09-27)Indoor crowd localization and counting in big public buildings pose problems of infrastructure deployment, signal processing, and privacy. Conventional approaches based on optical cameras, either in the visible or infrared ... -
Learning Multirobot Hose Transportation and Deployment by Distributed Round-Robin Q-Learning
; Etxeberria Agiriano, Ismael; (Public Library Science, 2015-07-09)
Multi-Agent Reinforcement Learning (MARL) algorithms face two main difficulties: the curse of dimensionality, and environment non-stationarity due to the independent learning processes carried out by the agents concurrently. ... -
Mental Health Monitoring from Speech and Language
; Justo Blanco, Raquel; ; De Velasco Vázquez, Mikel (ISCA, 2022)
Concern for mental health has increased in the last years due to its impact in people life quality and its consequential effect on healthcare systems. Automatic systems that can help in the diagnosis, symptom monitoring, ... -
Methodologically Grounded SemanticAnalysis of Large Volume of Chilean Medical Literature Data Applied to the Analysis of Medical Research Funding Efficiency in Chile
(BioMed Central, 2020-09-29)Background Medical knowledge is accumulated in scientific research papers along time. In order to exploit this knowledge by automated systems, there is a growing interest in developing text mining methodologies to extract, ... -
Modeling the Effector - Regulatory T Cell Cross-Regulation Reveals the Intrinsic Character of Relapses in Multiple Sclerosis
(Biomed Central, 2011-07-15)Background: The relapsing-remitting dynamics is a hallmark of autoimmune diseases such as Multiple Sclerosis (MS). Although current understanding of both cellular and molecular mechanisms involved in the pathogenesis of ... -
Multimodal feature evaluation and fusion for emotional well-being monitorization
; Justo Blanco, Raquel (Springer, 2022-04-26)
Mental health is a global issue that plays an important roll in the overall well-being of a person. Because of this, it is important to preserve it, and conversational systems have proven to be helpful in this task. This ... -
Non-Intrusive Assessment of COVID-19 Lockdown Follow-Up and Impact Using Credit Card Information: Case Study in Chile
(MDPI, 2021-05-21)In this paper, we propose and validate with data extracted from the city of Santiago, capital of Chile, a methodology to assess the actual impact of lockdown measures based on the anonymized and geolocated data from credit ... -
Speech emotion recognition in Spanish TV Debates
; Justo Blanco, Raquel; De Velasco Vázquez, Mikel ; Torres Barañano, María Inés (ISCA, 2022)
Emotion recognition from speech is an active field of study that can help build more natural human-machine interaction systems. Even though the advancement of deep learning technology has brought improvements in this task, ... -
Statistical Atlases and Automatic Labeling Strategies to Accelerate the Analysis of Social Insect Brain Evolution
(Frontiers Media, 2022-02)[EN] Current methods used to quantify brain size and compartmental scaling relationships in studies of social insect brain evolution involve manual annotations of images from histological samples, confocal microscopy or ... -
Survey on virtual coaching for older adults
Lete Urzelai, Nerea; Beristain Iraola, Andoni; García-Alonso Montoya, Alejandro (Sage, 2020-12)
Virtual coaching has emerged as a promising solution to extend independent living for older adults. A virtual coach system is an always-attentive personalized system that continuously monitors user's activity and surroundings ... -
Survival of Frail Elderly with Delirium
Cano Escalera, Guillermo; ; Irazusta Astiazaran, Jon; Labayen Goñi, Idoya ; Besga Basterra, Ariadna (MDPI, 2022-02-16)
This study aims to determine when frailty increases the risks of delirium mortality. Hospital patients falling into the elderly frail or pre-frail category were recruited, some without delirium, some with delirium at ...