JUAN IGNACIO ARRIBAS SANCHEZ-rekin lankidetzan egindako argitalpenak (7)

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