Now showing items 1-20 of 38

    • A influencia de facer os criterios de avaliación públicos en materias vinculadas ao Grao de Enxeñaría en Informática 

      Fernández-Blanco, Enrique; Fernández-Lozano, Carlos; Rivero, Daniel (Centro Universitario de Formación e Innovación Educativa (CUFIE), Universidade da Coruña, 2022)
      [Resumo] Unha das queixas máis frecuentemente realizadas polos estudantes ao longo dos anos sempre está referida coa avaliación dos traballos e prácticas. O método de corrección e puntuación percíbese habitualmente por ...
    • A New Evolutionary Computation Technique for 2D: Morphogenesis and Information Processing 

      Fernández-Blanco, Enrique; Dorado, Julián; Rabuñal, Juan R.; Gestal, M.; Pedreira Souto, Nieves (WSEAS Press, 2007-03)
      [Abstract] Paper presents a new model that takes the behaviour of biological cells and tries to adapt some of their characteristics to the artificial cells in order to solve computational problems. This model can be related ...
    • A Public Domain Dataset for Real-Life Human Activity Recognition Using Smartphone Sensors 

      García-González, Daniel; Rivero, Daniel; Fernández-Blanco, Enrique; Rodríguez Luaces, Miguel (MDPI AG, 2020-04-13)
      [Abstract] In recent years, human activity recognition has become a hot topic inside the scientific community. The reason to be under the spotlight is its direct application in multiple domains, like healthcare or fitness. ...
    • A review of artificial intelligence applied to path planning in UAV swarms 

      Puente-Castro, Alejandro; Rivero, Daniel; Pazos, A.; Fernández-Blanco, Enrique (Springer, 2021)
      [Abstract]: Path Planning problems with Unmanned Aerial Vehicles (UAVs) are among the most studied knowledge areas in the related literature. However, few of them have been applied to groups of UAVs. The use of swarms ...
    • Application of Artificial Neural Networks for the Monitoring of Episodes of High Toxicity by DSP in Mussel Production Areas in Galicia 

      Molares-Ulloa, Andrés; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI AG, 2020-08-19)
      [Abstract] This study seeks to support, through the use of Artificial Neural Networks (ANN), the decision to perform closings after days without sampling in the Vigo estuary. The opening and closing of the mussel production ...
    • Aprendizaje basado en ejemplos: desarrollo de aplicaciones empresariales con tecnologías .net 

      Gestal, M.; Fernández-Blanco, Enrique; Rivero, Daniel; Vázquez-Naya, José; Rabuñal, Juan R.; Dorado, Julián; Pazos, A. (Universidad Peruana de Ciencias Aplicadas, 2015-06)
      [Resumen] El framework J2EE ha sido el gran dominador, durante mucho tiempo, en el desarrollo de aplicaciones empresariales. Esto hecho originó la aparición de un rico ecosistema de herramientas, manuales, tutoriales, ...
    • Artificial cells for information processing: iris classification 

      Fernández-Blanco, Enrique; Dorado, Julián; Serantes, José Andrés; Rivero, Daniel; Rabuñal, Juan R. (Springer, 2011-06-01)
      [Abstract]: This paper presents a model in the Artificial Embryogene (AE) framework. The presented system tries to model the main functions of the biological cell model. The main part of this paper describes the Gene ...
    • Artificial intelligence in paediatrics: Current events and challenges 

      Galdo, Brais; Pazos, Carla; Pardo, Jerónimo; Solar, Alfonso; Llamas, Daniel; Fernández-Blanco, Enrique; Pazos, A. (Elsevier, 2024-03)
      [Abstract]: This article examines the use of artificial intelligence (AI) in the field of paediatric care within the framework of the 7P medicine model (Predictive, Preventive, Personalized, Precise, Participatory, Peripheral ...
    • Artificial Neuron–Glia Networks Learning Approach Based on Cooperative Coevolution 

      Fernández-Blanco, Enrique; Cedrón, Francisco; Pazos, A.; Porto-Pazos, Ana B.; Mesejo, Pablo; Ibáñez, Oscar (World Scientific, 2015-04-06)
      [Abstract] Artificial Neuron–Glia Networks (ANGNs) are a novel bio-inspired machine learning approach. They extend classical Artificial Neural Networks (ANNs) by incorporating recent findings and suppositions about the way ...
    • Automated Early Detection of Drops in Commercial Egg Production Using Neural Networks 

      Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Taylor & Francis, 2017-10-17)
      [Abstract] 1. The purpose of this work was to support decision-making in poultry farms by performing automatic early detection of anomalies in egg production. 2. Unprocessed data were collected from a commercial egg ...
    • Automatic Assessment of Alzheimer’s Disease Diagnosis Based on Deep Learning Techniques 

      Puente-Castro, Alejandro; Fernández-Blanco, Enrique; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2020-05)
      [Abstract] Early detection is crucial to prevent the progression of Alzheimer’s disease (AD). Thus, specialists can begin preventive treatment as soon as possible. They demand fast and precise assessment in the diagnosis ...
    • Automatic Seizure Detection Based on Star Graph Topological Indices 

      Fernández-Blanco, Enrique; Rivero, Daniel; Rabuñal, Juan R.; Dorado, Julián; Pazos, A.; Munteanu, Cristian-Robert (Elsevier, 2012-08-15)
      [Abstract] The recognition of seizures is very important for the diagnosis of patients with epilepsy. The seizure is a process of rhythmic discharge in brain and occurs rarely and unpredictably. This behavior generates a ...
    • Classical Music Prediction and Composition by Means of Variational Autoencoders 

      Rivero, Daniel; Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Ezquerra, Noberto; Pazos, A. (MDPI AG, 2020-04-27)
      [Abstract] This paper proposes a new model for music prediction based on Variational Autoencoders (VAEs). In this work, VAEs are used in a novel way to address two different issues: music representation into the latent ...
    • Classification of Signals by Means of Genetic Programming 

      Fernández-Blanco, Enrique; Rivero, Daniel; Gestal, M.; Dorado, Julián (Springer, 2013-03-30)
      [Abstract] This paper describes a new technique for signal classification by means of Genetic Programming (GP). The novelty of this technique is that no prior knowledge of the signals is needed to extract the features. ...
    • Convolutional Neural Networks for Sleep Stage Scoring on a Two-Channel EEG Signal 

      Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Springer Nature, 2019-06-26)
      [Abstract] Sleeping problems have become one of the major diseases all over the world. To tackle this issue, the basic tool used by specialists is the Polysomnogram, which is a collection of different signals recorded ...
    • Detection of Bovine Mastitis in Raw Milk, Using a Low-Cost NIR Spectrometer and k-NN Algorithm 

      Ramírez Morales, Iván; Aguilar, Lenin; Fernández-Blanco, Enrique; Rivero, Daniel; Pérez, Jhonny; Pazos, A. (MDPI, 2021)
      [Abstract] Among the bovine diseases, mastitis causes high economic losses in the dairy production system. Nowadays, detection under field conditions is mainly performed by the California Mastitis Test, which is considered ...
    • Detection of Chocolate Properties Using Near-Infrared Spectrophotometry † 

      Galdo, Brais; Fernández-Blanco, Enrique; Rivero, Daniel (MDPI, 2021)
      [Abstract] Knowing the chemical composition of a substance provides valuable information about it. That is why numerous techniques have been developed to try to obtain it. One of them is the Near Infrared Spectrometry ...
    • Determination of Egg Storage Time at Room Temperature Using a Low-Cost NIR Spectrometer and Machine Learning Techniques 

      Coronel-Reyes, Julián; Ramírez-Morales, Iván; Fernández-Blanco, Enrique; Rivero, Daniel; Pazos, A. (Elsevier, 2017-12-21)
      [Abstract] Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage time is a freshness and quality indicator in industrial and consumer applications, even though egg marking is not ...
    • DoME: A Deterministic Technique for Equation Development and Symbolic Regression 

      Rivero, Daniel; Fernández-Blanco, Enrique; Pazos, A. (Elsevier, 2022-03-04)
      [Abstract] Based on a solid mathematical background, this paper proposes a method for Symbolic Regression that enables the extraction of mathematical expressions from a dataset. Contrary to other approaches, such as Genetic ...
    • Early Warning in Egg Production Curves from Commercial Hens: a SVM Approach 

      Ramírez-Morales, Iván; Rivero, Daniel; Fernández-Blanco, Enrique; Pazos, A. (Elsevier, 2016-01-02)
      [Abstract] Artificial Intelligence allows the improvement of our daily life, for instance, speech and handwritten text recognition, real time translation and weather forecasting are common used applications. In the livestock ...