JUAN IGNACIO ARRIBAS SANCHEZ-rekin lankidetzan egindako argitalpenak (8)

2023

  1. Contrastive Learning over Random Fourier Features for IoT Network Intrusion Detection

    IEEE Internet of Things Journal, Vol. 10, Núm. 10, pp. 8505-8513

2022

  1. A predictive hybrid reduced order model based on proper orthogonal decomposition combined with deep learning architectures[Formula presented]

    Expert Systems with Applications, Vol. 187

  2. Supervised contrastive learning over prototype-label embeddings for network intrusion detection

    Information Fusion, Vol. 79, pp. 200-228

2021

  1. Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric‐load forecasting

    Sensors, Vol. 21, Núm. 9

  2. Network Intrusion Detection Based on Extended RBF Neural Network with Offline Reinforcement Learning

    IEEE Access, Vol. 9, pp. 153153-153170

  3. Network intrusion detection with a novel hierarchy of distances between embeddings of hash IP addresses

    Knowledge-Based Systems, Vol. 219

  4. Novel data-driven models applied to short-term electric load forecasting

    Applied Sciences (Switzerland), Vol. 11, Núm. 12

2011

  1. Leaf classification in sunflower crops by computer vision and neural networks

    Computers and Electronics in Agriculture, Vol. 78, Núm. 1, pp. 9-18