Publikationen, an denen er mitarbeitet David Gutiérrez Aviles (23)

2024

  1. An Experimental Comparison of Qiskit and Pennylane for Hybrid Quantum-Classical Support Vector Machines

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

  2. An evolutionary triclustering approach to discover electricity consumption patterns in France

    Proceedings of the ACM Symposium on Applied Computing

2023

  1. A new Apache Spark-based framework for big data streaming forecasting in IoT networks

    Journal of Supercomputing, Vol. 79, Núm. 10, pp. 11078-11100

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

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

  3. Data streams classification using deep learning under different speeds and drifts

    Logic Journal of the IGPL, Vol. 31, Núm. 4, pp. 688-700

  4. Explainable Artificial Intelligence for Education: A Real Case of a University Subject Switched to Python

    Lecture Notes in Networks and Systems

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

    Engineering Applications of Artificial Intelligence, Vol. 123

2022

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

    Neurocomputing, Vol. 500, pp. 268-278

  2. Deformation forecasting of a hydropower dam by hybridizing a long short-term memory deep learning network with the coronavirus optimization algorithm

    Computer-Aided Civil and Infrastructure Engineering, Vol. 37, Núm. 11, pp. 1368-1386

  3. 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

    Advances in Intelligent Systems and Computing

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

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

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

    Computers and Geosciences, Vol. 150

  4. 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)

2020

  1. Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration

    Big Data Research, Vol. 19-20

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

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

  3. High-content screening images streaming analysis using the STriGen methodology

    Proceedings of the ACM Symposium on Applied Computing

  4. Real-Time Big Data Analytics in Smart Cities from LoRa-Based IoT Networks

    Advances in Intelligent Systems and Computing

2019

  1. Random Hyper-parameter Search-Based Deep Neural Network for Power Consumption Forecasting

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

2018

  1. SmartFD: A real big data application for electrical fraud detection

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