BackExaminar Artículos, Comunicaciones, Libros por departamento (eus.) "Lengoaia eta Sistema Informatikoak"
Now showing items 1-9 of 9
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A Hierarchical Machine Learning Solution for the Non-Invasive Diagnostic of Autonomic Dysreflexia
; ; Yera Gil, Ainhoa
; Martínez Rodríguez, Raquel ; ; ; (MDPI, 2022-02-15)
More than half of patients with high spinal cord injury (SCI) suffer from episodes of autonomic dysreflexia (AD), a condition that can lead to lethal situations, such as cerebral haemorrhage, if not treated correctly. ... -
Analysis of Deep Learning-Based Decision-Making in an Emotional Spontaneous Speech Task
De Velasco Vázquez, Mikel; Justo Blanco, Raquel ; López Zorrilla, Asier ; Torres Barañano, María Inés (MDPI, 2023-01-11)
In this work, we present an approach to understand the computational methods and decision-making involved in the identification of emotions in spontaneous speech. The selected task consists of Spanish TV debates, which ... -
Benchmarking Object Detection Deep Learning Models in Embedded Devices
Cantero, David; Esnaola-Gonzalez, Iker ; ; (MDPI, 2022)
Object detection is an essential capability for performing complex tasks in robotic applications. Today, deep learning (DL) approaches are the basis of state-of-the-art solutions in computer vision, where they provide very ... -
Leveraging Final Degree Projects for Open Source Software Contributions
Pereira Varela, Juan Antonio (MDPI, 2021-05-15)
(1) Background: final year students of computer science engineering degrees must carry out a final degree project (FDP) in order to graduate. Students’ contributions to improve open source software (OSS) through FDPs can ... -
Open BOK on Software Engineering Educational Context: A Systematic Literature Review
Quezada Sarmiento, Pablo Alejandro; Elorriaga Arandia, Jon Ander; Arruarte Lasa, Ana Jesús ; Washizaki, Hironori (MDPI, 2020-08-24)
In this review, a Systematic Literature Review (SLR) on Open Body of Knowledge (BOK) is presented. Moreover, the theoretical base to build a model for knowledge description was created, and it was found that there is a ... -
Optimized Parameter Search Approach for Weight Modification Attack Targeting Deep Learning Models
Echeberria Barrio, Xabier; Gil Lerchundi, Amaia; Orduna Urrutia, Raul; Mendialdua Beitia, Iñigo (MDPI, 2022-04-07)
Deep neural network models have been developed in different fields, bringing many advances in several tasks. However, they have also started to be incorporated into tasks with critical risks. That worries researchers who ... -
RANSAC for Robotic Applications: A Survey
; ; Mendialdua Beitia, Iñigo; Sierra Araujo, Basilio (2022-12-28)
Random Sample Consensus, most commonly abbreviated as RANSAC, is a robust estimation method for the parameters of a model contaminated by a sizable percentage of outliers. In its simplest form, the process starts with a ... -
Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches
; Pérez Ramírez, Alicia; ; (BMC, 2019-12-23)
Background Text mining and natural language processing of clinical text, such as notes from electronic health records, requires specific consideration of the specialized characteristics of these texts. Deep learning methods ... -
Two Approaches to Generate Questions in Basque
Aldabe Arregi, Itziar; González Dios, Itziar ; López Gazpio, Iñigo ; ; Marichalar Anglada, Montserrat (Sociedad Española para el Procesamiento del Lenguaje Natural, 2013)
This article presents a chunker-based question generator (QG) and a QG system based on syntactic dependencies. Both systems generate questions in Basque at the sentence level and make use of the animate/inanimate feature ...