ANTONIO JAVIER SANCHEZ ESGUEVILLAS-rekin lankidetzan egindako argitalpenak (15)

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. 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

2020

  1. Application of deep reinforcement learning to intrusion detection for supervised problems

    Expert Systems with Applications, Vol. 141

  2. IoT type-of-traffic forecasting method based on gradient boosting neural networks

    Future Generation Computer Systems, Vol. 105, pp. 331-345

2019

  1. Neural network architecture based on gradient boosting for IoT traffic prediction

    Future Generation Computer Systems, Vol. 100, pp. 656-673

  2. Shallow neural network with kernel approximation for prediction problems in highly demanding data networks

    Expert Systems with Applications, Vol. 124, pp. 196-208

  3. Variational data generative model for intrusion detection

    Knowledge and Information Systems, Vol. 60, Núm. 1, pp. 569-590

2018

  1. Deep Learning Model for Multimedia Quality of Experience Prediction Based on Network Flow Packets

    IEEE Communications Magazine, Vol. 56, Núm. 9, pp. 110-117

2017

  1. Conditional variational autoencoder for prediction and feature recovery applied to intrusion detection in iot

    Sensors (Switzerland), Vol. 17, Núm. 9

  2. Network Traffic Classifier with Convolutional and Recurrent Neural Networks for Internet of Things

    IEEE Access, Vol. 5, pp. 18042-18050

  3. Review of methods to predict connectivity of IoT wireless devices

    Ad-Hoc and Sensor Wireless Networks, Vol. 38, Núm. 1-4, pp. 125-141