• Article
  

  Analysis of Connectome Graphs Based on Boundary Scale 

  Morón Fernández, María José; Amedeo, Ludovica Maria; Monterroso Muñoz, Alberto; Molina Abril, Helena; Díaz del Río, Fernando; Bini, Fabiano; Marinozzi, Franco; Real Jurado, Pedro (MDPI, 2023-10)

  The purpose of this work is to advance in the computational study of connectome graphs from a topological point of view. ...

• Article
  

  Bioinspired Spike-Based Hippocampus and Posterior Parietal Cortex Models for Robot Navigation and Environment Pseudomapping 

  Casanueva Morato, Daniel; Ayuso Martínez, Álvaro; Domínguez Morales, Juan Pedro; Jiménez Fernández, Ángel Francisco; Jiménez Moreno, Gabriel; Pérez Peña, Fernando (John Wiley and Sons Inc, 2023)

  The brain has great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. ...

• Article
  

  Transfer of innovation - using research tools for engineering education 

  Rioja del Río, Carlos; Rodríguez Corral, José María; Civit Balcells, Antón; Morgado Estévez, Arturo; Pérez Peña, Fernando (World Institute for Engineering and Technology Educationn (WIETE), 2013)

  In this article, the authors show how, in the pursuit of research results, they can obtain excellent tools and data for ...

• Article
  

  A New Approach for Implementing Finite State Machines with Input Multiplexing 

  García Vargas, Ignacio; Senhadji Navarro, Raouf (MDPI, 2023-09)

  The model called Finite State Machine with Input Multiplexing (FSMIM) was proposed as a mechanism for implementing Finite ...

• Article
  

  Assistive environments: Integration of heterogenous networks to support Ambient Intelligence 

  Abascal, Julio; Sevillano Ramos, José Luis; Civit Balcells, Antón; Jiménez Moreno, Gabriel; Falcó, J. L. (Springer New York LLC, 2005)

  In the last decade, Assistive Technology researchers have studied and developed accessible and adaptable environments ...

• Presentation
  

  LIPSFUS: A neuromorphic dataset for audio-visual sensory fusion of lip reading 

  Ríos Navarro, José Antonio; Piñero Fuentes, Enrique; Canas Moreno, Salvador; Javed, A.; Harkin, Jim; Linares Barranco, Alejandro (Institute of Electrical and Electronics Engineers, 2023-07)

  This paper presents a sensory fusion neuromorphic dataset collected with precise temporal synchronization using a set ...

• Article
  

  A Robust Ensemble of Convolutional Neural Networks for the Detection of Monkeypox Disease from Skin Images 

  Muñoz Saavedra, Luis; Escobar Linero, Elena; Civit Masot, Javier; Luna Perejón, Francisco; Civit Balcells, Antón; Domínguez Morales, Manuel Jesús (MDPI, 2023-08)

  Monkeypox is a smallpox-like disease that was declared a global health emergency in July 2022. Because of this resemblance, ...

• Article
  

  Editorial: Powering the next-generation IoT applications: new tools and emerging technologies for the development of Neuromorphic System of Systems 

  Urgese, Gianvito; Ríos-Navarro, Antonio; Linares Barranco, Alejandro; Stewart, Terrence C.; Michmizos, Konstantinos (Froontiers Media S.A., 2023-05)

  The brain, this 3-pound mass of tissue that can easily be held in one's palm, has an inherent computational complexity ...

• Article
  

  A comparative study of the inter-observer variability on Gleason grading against Deep Learning-based approaches for prostate cancer 

  Marrón-Esquivel, José M.; Durán López, Lourdes; Linares Barranco, Alejandro; Domínguez Morales, Juan Pedro (Elsevier, 2023-06)

  Background: Among all the cancers known today, prostate cancer is one of the most commonly diagnosed in men. With modern ...

• Article
  

  Using machine learning-based systems to help predict disengagement from the legal proceedings by women victims of intimate partner violence in Spain 

  Escobar Linero, Elena; García Jiménez, María; Trigo Sánchez, María Eva; Cala Carrillo, María Jesús; Sevillano Ramos, José Luis; Domínguez Morales, Manuel Jesús (Public Library Science, 2023)

  Intimate partner violence against women (IPVW) is a pressing social issue which poses a challenge in terms of prevention, ...

• Article
  

  Autonomous Underwater Vehicles: Identifying Critical Issues and Future Perspectives in Image Acquisition 

  Monterroso Muñoz, Alberto; Morón Fernández, María José; Cascado Caballero, Daniel; Díaz del Río, Fernando; Real Jurado, Pedro (MDPI, 2023-05)

  Underwater imaging has been present for many decades due to its relevance in vision and navigation systems. In recent ...

• Article
  

  Wearable Health Devices for Diagnosis Support: Evolution and Future Tendencies 

  Escobar Linero, Elena; Muñoz Saavedra, Luis; Luna Perejón, Francisco; Sevillano Ramos, José Luis; Domínguez Morales, Manuel Jesús (MDPI, 2023-02-03)

  The use of wearable devices has increased substantially in recent years. This, together with the rise of telemedicine, has ...

• Article
  

  Effect of Device Mismatches in Differential Oscillatory Neural Networks 

  Shamsi, Jafar; Avedillo de Juan, María José; Linares Barranco, Bernabé; Serrano Gotarredona, María Teresa (IEEE, 2023-02)

  Analog implementation of Oscillatory Neural Networks (ONNs) has the potential to implement fast and ultra-low-power computing ...

• Article
  

  Optimization based on the minimum maximal k-partial-matching problem of finite states machines with input multiplexing 

  García Vargas, Ignacio; Senhadji Navarro, Raouf (Springer, 2022-06-02)

  Finite State Machines with Input Multiplexing (FSMIMs) were proposed in previous work as a technique for efficient mapping ...

• Article
  

  Smart Shoe Insole Based on Polydimethylsiloxane Composite Capacitive Sensors 

  Luna Perejón, Francisco; Salvador Domínguez, Blas; Pérez Peña, Fernando; Rodríguez Corral, José María; Escobar Linero, Elena; Morgado Estévez, Arturo (MDPI, 2023-01-23)

  Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use ...

• Article
  

  Mapping Outputs and States Encoding Bits to Outputs Using Multiplexers in Finite State Machine Implementations 

  Senhadji Navarro, Raouf; García Vargas, Ignacio (MDPI, 2023-01-18)

  This paper proposes a new technique for implementing Finite State Machines (FSMs) in Field Programmable Gate Arrays (FPGAs). ...

• Article
  

  Data-driven color augmentation for H&E stained images in computational pathology 

  Marini, Niccolò; Otalora, Sebastián; Wodzinski, Marek; Tomassini, Selene; Franco Dragoni, Aldo; Marchand Maillet, Stephane; Domínguez Morales, Juan Pedro; Duran López, Lourdes; Vatrano, Simona; Müller, Henning; Atzori, Manfredo (ScienceDirect, 2023)

  Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized ...

• Article
  

  Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks 

  Patiño Saucedo, Alberto; Rostro González, Horacio; Serrano Gotarredona, María Teresa; Linares Barranco, Bernabé (Frontiers Media S.A., 2022-03-14)

  Liquid State Machines (LSMs) are computing reservoirs composed of recurrently connected Spiking Neural Networks which have ...

• Article
  

  EdgeDRNN: Recurrent Neural Network Accelerator for Edge Inference 

  Gao, Chang; Ríos Navarro, José Antonio; Chen, Xi; Liu, Shih-Chii; Delbruck, Tobi (IEEE Xplore, 2020-12)

  Low-latency, low-power portable recurrent neural network (RNN) accelerators offer powerful inference capabilities for ...

• Article
  

  Two-hidden-layer feed-forward networks are universal approximators: A constructive approach 

  Paluzo Hidalgo, Eduardo; González Díaz, Rocío; Gutiérrez Naranjo, Miguel Ángel (ScienceDirect, 2020-11)

  It is well-known that artificial neural networks are universal approximators. The classical existence result proves that, ...

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