Publikationen, an denen er mitarbeitet Manuel Carranza García (14)

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

    Advances in Intelligent Systems and Computing

  4. 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

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