Publicaciones en las que colabora con Manuel Carranza García (15)

2024

  1. Advancing unsupervised anomaly detection with normalizing flow and multi-scale ensemble learning

    Engineering Applications of Artificial Intelligence, Vol. 137

  2. An empirical analysis of the relationship among price, demand and CO2 emissions in the Spanish electricity market

    Heliyon, Vol. 10, Núm. 3

2023

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

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

  2. Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level

    Applied Energy, Vol. 350

  3. Short-term solar irradiance forecasting in streaming with deep learning

    Neurocomputing, Vol. 546

2022

  1. Concept Drift Detection to Improve Time Series Forecasting of Wind Energy Generation

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

  2. Object detection using depth completion and camera-LiDAR fusion for autonomous driving

    Integrated Computer-Aided Engineering, Vol. 29, Núm. 3, pp. 241-258

  3. TEMPORAL AXIAL ATTENTION FOR LIDAR-BASED 3D OBJECT DETECTION IN AUTONOMOUS DRIVING

    Proceedings - International Conference on Image Processing, ICIP

2021

  1. An Experimental Review on Deep Learning Architectures for Time Series Forecasting

    International Journal of Neural Systems, Vol. 31, Núm. 3

  2. Enhancing object detection for autonomous driving by optimizing anchor generation and addressing class imbalance

    Neurocomputing, Vol. 449, pp. 229-244

  3. On the Performance of Deep Learning Models for Time Series Classification in Streaming

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

  4. On the Performance of Deep Learning Models for Time Series Classification in Streaming

    Advances in Intelligent Systems and Computing

2020

  1. Asynchronous dual-pipeline deep learning framework for online data stream classification

    Integrated Computer-Aided Engineering, Vol. 27, Núm. 2, pp. 101-119

  2. Temporal convolutional networks applied to energy-related time series forecasting

    Applied Sciences (Switzerland), Vol. 10, Núm. 7

2019

  1. A framework for evaluating land use and land cover classification using convolutional neural networks

    Remote Sensing, Vol. 11, Núm. 3