Argitalpenak (36) Cristina Rubio Escudero argitalpenak

2024

  1. Emerging trends in big data analytics and natural disasters

    Computers and Geosciences

2023

  1. A novel distributed forecasting method based on information fusion and incremental learning for streaming time series

    Information Fusion, Vol. 95, pp. 163-173

  2. Identifying novelties and anomalies for incremental learning in streaming time series forecasting

    Engineering Applications of Artificial Intelligence, Vol. 123

  3. PDSS: A Pharmacological Decision Support System for Diabetics Patients with COVID-19

    Studies in health technology and informatics, Vol. 302, pp. 521-525

2022

  1. A new big data triclustering approach for extracting three-dimensional patterns in precision agriculture

    Neurocomputing, Vol. 500, pp. 268-278

  2. An Artificial Intelligence-Driven Digital Health Solution to Support Clinical Management of Patients With Long COVID-19: Protocol for a Prospective Multicenter Observational Study

    JMIR Research Protocols, Vol. 11, Núm. 10

  3. Generation of Synthetic Data with Conditional Generative Adversarial Networks

    Logic Journal of the IGPL, Vol. 30, Núm. 2, pp. 252-262

  4. MOMIC: A Multi-Omics Pipeline for Data Analysis, Integration and Interpretation

    Applied Sciences (Switzerland), Vol. 12, Núm. 8

  5. Nearest neighbors with incremental learning for real-time forecasting of electricity demand

    IEEE International Conference on Data Mining Workshops, ICDMW

2021

  1. Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

    15th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2020): Burgos, Spain ; September 2020

  2. Discovering Spatio-Temporal Patterns in Precision Agriculture Based on Triclustering

    Advances in Intelligent Systems and Computing

  3. Discovering three-dimensional patterns in real-time from data streams: An online triclustering approach

    Information Sciences, Vol. 558, pp. 174-193

  4. Generating a seismogenic source zone model for the Pyrenees: A GIS-assisted triclustering approach

    Computers and Geosciences, Vol. 150

  5. Nearest Neighbors-Based Forecasting for Electricity Demand Time Series in Streaming

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. OCEAn: Ordinal classification with an ensemble approach

    Information Sciences, Vol. 580, pp. 221-242

  7. Rationale for timing of follow-up visits to assess gluten-free diet in celiac disease patients based on data mining

    Nutrients, Vol. 13, Núm. 2, pp. 1-8

  8. Use of deep learning architectures for day-ahead electricity price forecasting over different time periods in the spanish electricity market

    Applied Sciences (Switzerland), Vol. 11, Núm. 13

2020

  1. Coronavirus Optimization Algorithm: A Bioinspired Metaheuristic Based on the COVID-19 Propagation Model

    Big data, Vol. 8, Núm. 4, pp. 308-322

  2. Creation of Synthetic Data with Conditional Generative Adversarial Networks

    Advances in Intelligent Systems and Computing

  3. Deep Learning Techniques to Improve the Performance of Olive Oil Classification

    Frontiers in Chemistry, Vol. 7