Now showing items 21-40 of 118

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      Automatic feedback and assessment of team-coding assignments in a DevOps context 

      Fernández Gauna, Borja ORCID; Rojo Azaceta, Naiara ORCID; Graña Romay, Manuel María ORCID (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 ...
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      Behavioral Activity Recognition Based on Gaze Ethograms 

      De Lope Asiaín, Javier; Graña Romay, Manuel María ORCID (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 ...
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      Brain Mapping of Behavioral Domains Using Multi-Scale Networks and Canonical Correlation Analysis 

      Fernández Iriondo, Izaro; Jiménez Marín, Antonio; Sierra Araujo, Basilio ORCID; Aginako Bengoa, Naiara; Bonifazi, Paolo; Cortés Díaz, Jesús María (Frontiers Media, 2022-06)
      Simultaneous mapping of multiple behavioral domains into brain networks remains a major challenge. Here, we shed some light on this problem by employing a combination of machine learning, structural and functional brain ...
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      Camera Pose Optimization for 3D Mapping 

      Lluvia Hermosilla, Iker; Lazkano Ortega, Elena; Ansuategi Cobo, Ander (IEEE, 2023-02)
      Digital 3D models of environments are of great value in many applications, but the algorithms that build them autonomously are computationally expensive and require a considerable amount of time to perform this task. In ...
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      Classification of neocortical interneurons using affinity propagation 

      Santana Hermida, Roberto ORCID; McGarry, Laura M.; Bielza, Concha; Larrañaga, Pedro; Yuste, Rafel (Frontiers Reseach Foundation, 2013-12)
      In spite of over a century of research on cortical circuits, it is still unknown how many classes of cortical neurons exist. Neuronal classification has been a difficult problem because it is unclear what a neuronal cell ...
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      Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics 

      Muñoz Cancino, Ricardo Luis; Ríos, Sebastián A.; Graña Romay, Manuel María ORCID (MDPI, 2023-05-29)
      The impact of micro-level people’s activities on urban macro-level indicators is a complex question that has been the subject of much interest among researchers and policymakers. Transportation preferences, consumption ...
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      COLAEVA: Visual Analytics and Data Mining Web-Based Tool for Virtual Coaching of Older Adult Populations 

      Kerexeta Sarriegi, Jon; Beristain Iraola, Andoni; Álvarez Sánchez, Roberto; Graña Romay, Manuel María ORCID; Rebescher, Kristin May; Epelde Unanue, Gorka; Hopper, Louise; Carroll, Joanne; Ianes, Patrizia Gabriella; Gasperini, Barbara; Pilla, Francesco; Mattei, Walter; Tessarolo, Francesco; Petsani, Despoina; Bamidis, Panagiotis D.; Konstantinidis, Evdokimos I. (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 ...
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      Combining Geostatistics and Remote Sensing Data to Improve Spatiotemporal Analysis of Precipitation 

      Varouchakis, Emmanouil A.; Kamińska-Chuchmała, Anna; Kowalik, Grzegorz; Spanoudaki, Katerina; Graña Romay, Manuel María ORCID (MDPI, 2021-04-30)
      The wide availability of satellite data from many distributors in different domains of science has provided the opportunity for the development of new and improved methodologies to aid the analysis of environmental problems ...
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      Community structure in real-world networks from a non-parametrical synchronization-based dynamical approach 

      Moujahid, Abdelmalik ORCID; D Anjou, Alicia; Cases Gutiérrez, Blanca Rosa ORCID (Elsevier, 2012-07-20)
      [EN]This work analyzes the problem of community structure in real-world networks based on the synchronization of nonidentical coupled chaotic Rössler oscillators each one characterized by a defined natural frequency, and ...
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      Continuous changes of variables and the Magnus expansion 

      Casas Pérez, Fernando; Chartier, Philippe; Murua Uria, Ander ORCID (IOP, 2019-09-23)
      In this paper, we are concerned with a formulation of Magnus and Floquet-Magnus expansions for general nonlinear differential equations. To this aim, we introduce suitable continuous variable transformations generated by ...
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      Creative Chord Sequence Generation for Electronic Dance Music 

      Conklin, Darrell; Gasser, Martin; Oertl, Stefan (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 ...
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      Data Preprocessing and Model Design for Medicine Problems 

      Guillén, Alberto; Lendasse, Amaury; Barreto, Guilherme (Hindawi Publishing Corporation, 2013)
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      Deep learning based domain adaptation for mitochondria segmentation on EM volumes. 

      Franco Barranco, Daniel; Pastor Tronch, Julio; González Marfil, Aitor; Muñoz Barrutia, Arrate; Arganda Carreras, Ignacio (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 ...
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      Deep Learning with Discriminative Margin Loss for Cross-Domain Consumer-to-Shop Clothes Retrieval 

      Alirezazadeh, Pendar; Dornaika, Fadi; Moujahid, Abdelmalik ORCID (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 ...
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      Deep transfer learning-based gaze tracking for behavioral activity recognition 

      De Lope Asiaín, Javier; Graña Romay, Manuel María ORCID (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 ...
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      Depth Data Denoising in Optical Laser Based Sensors for Metal Sheet Flatness Measurement: A Deep Learning Approach 

      Alonso Nieto, Marcos; Maestro, Daniel; Izaguirre, Alberto; Andonegui, Imanol; Graña Romay, Manuel María ORCID (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 ...
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      Designing Automated Deployment Strategies of Face Recognition Solutions in Heterogeneous IoT Platforms 

      Elordi Hidalgo, Unai; Lunerti, Chiara; Unzueta Irurtia, Luis; Goenetxea Imaz, Jon; Aranjuelo Ansa, Nerea; Bertelsen, Alvaro; Arganda Carreras, Ignacio (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 ...
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      Detecting the presence-absence of bluefin tuna by automated analysis of medium-range sonars on fishing vessels 

      Uranga, Jon; Arrizabalaga de Mingo, Haritz; Boyra Eizaguirre, Guillermo; Hernández Gómez, María del Carmen ORCID; Goñi, Nicolás; Arregui, Igor; Fernandes, Jose A.; Yurramendi Mendizabal, Yosu; Santiago, Josu (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 ...
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      Differential Micro RNA Expression in PBMC from Multiple Sclerosis Patients 

      Otaegui Bichot, David; Baranzini, Sergio E.; Armañanzas Arnedillo, Rubén; Calvo Molinos, Borja ORCID; Muñoz-Culla, Maider ORCID; Khankhanian, Puya; Inza Cano, Iñaki ORCID; Lozano Alonso, José Antonio ORCID; Castillo Triviño, Tamara; Asensio, Ana; Olaskoaga, Javier; López de Munain Arregui, Adolfo José (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: ...
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      Dynamic mosaic planning for a robotic bin-packing system based on picked part and target box monitoring 

      Iriondo Azpiri, Ander; Lazkano Ortega, Elena; Ansuategi Cobo, Ander; Fernández, Ane; Maurtua Ormaetxea, Iñaki (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 ...