Argitalpenak (27) JOSE MANUEL CASTILLO CARA argitalpenak

2024

  1. A multimodal approach using fundus images and text meta-data in a machine learning classifier with embeddings to predict years with self-reported diabetes – An exploratory analysis

    Primary Care Diabetes, Vol. 18, Núm. 3, pp. 327-332

  2. BeeGOns!: A Wireless Sensor Node for Fog Computing in Smart City Applications

    IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 43, Núm. 1, pp. 171-175

  3. From cloud and fog computing to federated-fog computing: A comparative analysis of computational resources in real-time IoT applications based on semantic interoperability

    Future Generation Computer Systems, Vol. 159, pp. 134-150

  4. Generative Adversarial Networks for text-to-face synthesis & generation: A quantitative–qualitative analysis of Natural Language Processing encoders for Spanish

    Information Processing and Management, Vol. 61, Núm. 3

2023

  1. A novel deep learning approach using blurring image techniques for Bluetooth-based indoor localisation

    Information Fusion, Vol. 91, pp. 173-186

  2. TINTO: Converting Tidy Data into image for classification with 2-Dimensional Convolutional Neural Networks

    SoftwareX, Vol. 22

2022

  1. Development, Validation, and Application of a Machine Learning Model to Estimate Salt Consumption in 54 Countries

    eLife, Vol. 11

  2. Phenotypes of Non-Alcoholic Fatty Liver Disease (NAFLD) and All-Cause Mortality: Unsupervised Machine Learning Analysis of NHANES III

    BMJ Open, Vol. 12, Núm. 11

  3. Phenotypes of non-alcoholic fatty liver disease (NAFLD) and all-cause mortality

    Annals of Epidemiology, Vol. 75, pp. 79

  4. Principles and recommendations to make data.europa.eu data more reusable : a strategy-mapping report.

    Publications Office of the European Union

  5. Street Images Classification According to COVID-19 Risk in Lima, Peru: a Convolutional Neural Networks Feasibility Analysis

    BMJ Open, Vol. 12, Núm. 9

2021

  1. An Analysis of Computational Resources of Event-Driven Streaming Data Flow for Internet of Things: A Case Study

    The Computer Journal, Vol. 66, Núm. 1, pp. 47-60

  2. An experimental study of fog and cloud computing in CEP-based Real-Time IoT applications

    Journal of Cloud Computing, Vol. 10, Núm. 1

  3. Clusters of people with type 2 diabetes in the general population: Unsupervised machine learning approach using national surveys in Latin America and the Caribbean

    BMJ Open Diabetes Research and Care, Vol. 9, Núm. 1

  4. On the relevance of the metadata used in the semantic segmentation of indoor image spaces

    Expert Systems with Applications, Vol. 184

2020

  1. Using Country-Level Variables to Classify Countries According to the Number of Confirmed COVID-19 Cases: An Unsupervised Machine Learning Approach

    Wellcome Open Research, Vol. 5

2019

  1. Comparative study of supervised learning and metaheuristic algorithms for the development of bluetooth-based indoor localization mechanisms

    IEEE Access, Vol. 7, pp. 26123-26135

  2. Evaluación, auditoría y desempeño de las políticas públicas de Lima como Smart City según el estándar ISO 3712:2014

    Revista de Ciencia Política y Gobierno, Vol. 5, Núm. 9, pp. 107-134

  3. SAVIA: Smart City Citizen Security Application based on Fog Computing Architecture

    IEEE Latin America Transactions, Vol. 17, Núm. 7, pp. 1171-1179

2018

  1. FROG: A Robust and Green Wireless Sensor Node for Fog Computing Platforms

    Journal of Sensors, Vol. 2018