Now showing items 1-8 of 8

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      A Hierarchical Machine Learning Solution for the Non-Invasive Diagnostic of Autonomic Dysreflexia 

      Sagastibeltza Galarraga, Nagore; Salazar Ramírez, Asier; Yera Gil, Ainhoa ORCID; Martínez Rodríguez, Raquel ORCID; Muguerza Rivero, Javier Francisco; Civicos Sánchez, Nora; Acera Gil, María Ángeles (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. ...
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      Analysis of Deep Learning-Based Decision-Making in an Emotional Spontaneous Speech Task 

      De Velasco Vázquez, Mikel ORCID; Justo Blanco, Raquel ORCID; López Zorrilla, Asier ORCID; Torres Barañano, María Inés ORCID (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 ...
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      Benchmarking Object Detection Deep Learning Models in Embedded Devices 

      Cantero, David ORCID; Esnaola-Gonzalez, Iker ORCID; Miguel Alonso, José; Jauregi Iztueta, Ekaitz (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 ...
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      Leveraging Final Degree Projects for Open Source Software Contributions 

      Pereira Varela, Juan Antonio ORCID (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 ...
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      Open BOK on Software Engineering Educational Context: A Systematic Literature Review 

      Quezada Sarmiento, Pablo Alejandro; Elorriaga Arandia, Jon Ander ORCID; Arruarte Lasa, Ana Jesús ORCID; 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 ...
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      Optimized Parameter Search Approach for Weight Modification Attack Targeting Deep Learning Models 

      Echeberria Barrio, Xabier; Gil Lerchundi, Amaia ORCID; Orduna Urrutia, Raul; Mendialdua Beitia, Iñigo ORCID (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 ...
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      RANSAC for Robotic Applications: A Survey 

      Martínez Otzeta, José María; Rodríguez Moreno, Itsaso; Mendialdua Beitia, Iñigo ORCID; Sierra Araujo, Basilio ORCID (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 ...
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      Recent advances in Swedish and Spanish medical entity recognition in clinical texts using deep neural approaches 

      Weegar, Rebecka; Pérez Ramírez, Alicia ORCID; Casillas Rubio, Arantza; Oronoz Anchordoqui, Maite ORCID (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 ...