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  Desarrollo de un bioimpedancímetro portable para pacientes con enfermedad renal crónica y deportistas de alto rendimiento 

  Pineda-Alpízar, Andrés Felipe; González-Camacho, Federico; Reina Tosina, Luis Javier; Naranjo Hernández, David; Barbarov-Rostán, Gerardo (Instituto Tecnológico de Costa Rica, 2021)

  El presente artículo da cuenta de la investigación para la innovación, diseño y desarrollo industrial de un dispositivo ...

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  Effect of the side of presentation in the visual field on phase‑locked and nonphase‑locked alpha and gamma responses 

  Sarrias Arrabal, Esteban; Martín Clemente, Rubén; Galvao Carmona, Alejandro; Benítez Lugo, María Luisa; Vázquez Marrufo, Manuel (Springer Nature, 2022)

  Recent studies have suggested that nonphase-locked activity can reveal cognitive mechanisms that cannot be observed in ...

• Article
  

  Crossing points detection in plain weave for old paintings with deep learning 

  Delgado Bejarano, Antonio; Alba-Carcelén, Laura; Murillo Fuentes, Juan José (Elsevier, 2023-11)

  In the forensic studies of painting masterpieces, the analysis of the support is of major importance. For plain weave ...

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  Data Driven Energy Economy Prediction for Electric City Buses Using Machine Learning 

  Sennefelder, Roman Michael; Martín Clemente, Rubén; González Carvajal, Ramón; Trifonov, Dimitar (IEEE, 2023)

  Electrification of transportation systems is increasing, in particular city buses raise enormous potential. Deep understanding ...

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  Energy Consumption Prediction of Electric City Buses Using Multiple Linear Regression 

  Sennefelder, Roman Michael; Martín Clemente, Rubén; González Carvajal, Ramón (MDPI, 2023)

  The widespread electrification of public transportation is increasing and is a powerful way to reduce greenhouse gas (GHG) ...

• Article
  

  Clinically Inspired Skin Lesion Classification through the Detection of Dermoscopic Criteria for Basal Cell Carcinoma 

  Serrano Gotarredona, María del Carmen; Lazo Maestre, Manuel; Serrano Gotarredonda, Amalia; Toledo-Pastrana,Tomás; Barros-Tornay, Ruben; Acha Piñero, Begoña (MDPI, 2022-07)

  Background and Objective. Skin cancer is the most common cancer worldwide. One of the most common non-melanoma tumors is ...

• Article
  

  A hypothesis-driven method based on machine learning for neuroimaging data analysis 

  Gorriz, Juan M.; Martín Clemente, Rubén; Puntonet, C.G.; Ortiz García, Andrés; Ramírez Pérez, Javier; SiPBA Group; Suckling, John (Elsevier, 2022)

  There remains an open question about the usefulness and the interpretation of machine learning (ML) approaches for ...

• Article
  

  Unsupervised and Computationally Lightweight Spectrum Sensing in IoT Devices † 

  Martín Clemente, Rubén; Antonio Zarzoso, Vicente (MDPI, 2022)

  Principal component analysis (PCA) is a widespread technique in data analysis. Recently, the L1-norm has been proposed as ...

• Article
  

  A Sensor-Based mHealth Platform for Remote Monitoring and Intervention of Frailty Patients at Home 

  Calvillo Arbizu, Jorge; Naranjo Hernández, David; Barbarov-Rostán, Gerardo; Talaminos Barroso, Alejandro; Roa Romero, Laura María; Reina Tosina, Luis Javier (MDPI, 2021-11)

  Frailty syndrome is an independent risk factor for serious health episodes, disability, hospitalization, falls, loss of ...

• Article
  

  Adaptation and application of the IEEE 2413-2019 standard security mechanisms to IoMT systems 

  Talaminos Barroso, Alejandro; Reina Tosina, Luis Javier; Roa Romero, Laura María (Elsevier, 2022-08)

  Healthcare information systems are evolving from traditional centralised architectures towards highly-mobile distributed ...

• Article
  

  A Low-Complexity Double EP-based Detector for Iterative Detection and Decoding in MIMO 

  Murillo Fuentes, Juan José; Santos Velázquez, Irene; Aradillas Jaramillo, José Carlos; Sánchez Fernández, Matilde (Institute of Electrical and Electronics Engineers Inc., 2021)

  We propose a new iterative detection and decoding (IDD) algorithm for multiple-input multiple-output (MIMO) based on ...

• Article
  

  Comparison of Feature Selection Techniques for Power Amplifier Behavioral Modeling and Digital Predistortion Linearization 

  Barry, Abdoul; Li, Wantao; Becerra González, Juan Antonio; Gilabert, Pere L (MDPI, 2021-09)

  The power amplifier (PA) is the most critical subsystem in terms of linearity and power efficiency. Digital predistortion ...

• Article
  

  Revisión sistemática de la aplicación de algoritmos de «machine learning» en la esclerosis múltiple 

  Vázquez Marrufo, Manuel; Sarrias Arrabal, Esteban; García Torres, Miguel; Martín Clemente, Rubén; Izquierdo Ayuso, Guillermo (Sociedad Española de Neurología, 2021)

  Introducción: La aplicación de la inteligencia artificial y en particular de algoritmos de aprendizaje automático o «machine ...

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  A Method for Unsupervised Semi-Quantification of Inmunohistochemical Staining with Beta Divergences 

  Sarmiento Vega, María Auxiliadora; Durán Díaz, Iván; Fondón García, Irene; Tomé, Mercedes; Bodineau, Clément; Durán, Raúl V. (MPDI, 2022-02)

  In many research laboratories, it is essential to determine the relative expression levels of some proteins of interest ...

• Article
  

  L1-norm unsupervised Fukunaga-Koontz transform 

  Camargo Olivares, José Luis; Martín Clemente, Rubén; Hornillo Mellado, Susana; Antonio Zarzoso, Vicente (Elsevier, 2021)

  The Fukunaga-Koontz transform (FKT) is a powerful supervised feature extraction method used in twoclass recognition problems, ...

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  A Sparse-Bayesian Approach for the Design of Robust Digital Predistorters Under Power-Varying Operation 

  Crespo Cadenas, Carlos; Madero Ayora, María José; Becerra González, Juan Antonio; Cruces Álvarez, Sergio Antonio (IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2022)

  In this article, a sparse-Bayesian treatment is proposed to solve the crucial questions posed by power amplifier (PA) ...

• Article
  

  Fast parameter-free region growing segmentation with application to surgical planning 

  Sánchez Mendoza, Carlos; Acha Piñero, Begoña; Serrano Gotarredona, María del Carmen; Gómez Cía, Tomás (Springer, 2012-01)

  In this paper, we propose a self-assessed adaptive region growing segmentation algorithm. In the context of an experimental ...

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  Nonlinear effects in lte downlink signals and application of a compensation technique at the receiver side 

  Allegue-Martínez, Michel; Madero Ayora, María José; Crespo Cadenas, Carlos; Reina Tosina, Luis Javier; Bernardo, Francisco (Wiley, 2012-01)

  This article proposes a nonlinear compensation technique for long-term evolution downlink signals based on the memoryless ...

• Article
  

  Experimental study of two-tone intermodulation products in a communications modulator 

  Madero Ayora, María José; Allegue-Martínez, Michel; Crespo Cadenas, Carlos; Reina Tosina, Luis Javier; Navarro-Lázaro, Javier (Wiley, 2011-01)

  This article presents the experimental nonlinear characterization of a quadrature modulator following a two‐tone test ...

• Article
  

  Circuit-level simulation of W-CDMA communication systems applied to the analysis of nonlinear distortion 

  Madero Ayora, María José; Reina Tosina, Luis Javier; Freire-Pérez, Ramón; Crespo Cadenas, Carlos (Wiley, 2004-11)

  Different circuit-level approaches to analyze the effects of non linear distortion on coded division multiple access (CDMA) ...

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