Publikationen in Zusammenarbeit mit Forschern von Universidad de Valladolid (143)

2024

  1. Graph Neural Network contextual embedding for Deep Learning on tabular data

    Neural Networks, Vol. 173

  2. Vibration-based monitoring of agro-industrial machinery using a k-Nearest Neighbors (kNN) classifier with a Harmony Search (HS) frequency selector algorithm

    Computers and Electronics in Agriculture, Vol. 217

2023

  1. A Deep Learning Image System for Classifying High Oleic Sunflower Seed Varieties

    Sensors, Vol. 23, Núm. 5

  2. 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. ANN-based position and speed sensorless estimation for BLDC motors

    Measurement: Journal of the International Measurement Confederation, Vol. 188

  3. 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. Model-free short-term fluid dynamics estimator with a deep 3D-convolutional neural network

    Expert Systems with Applications, Vol. 177

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

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

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

    Knowledge-Based Systems, Vol. 219

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

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

  6. SARS-CoV-2 mechanisms of action and impact on human organism, risk factors and potential treatments. An exhaustive survey

    All Life, Vol. 14, Núm. 1, pp. 894-947

2020

  1. Application of composite spectrum in agricultural machines

    Sensors (Switzerland), Vol. 20, Núm. 19, pp. 1-22

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

    Expert Systems with Applications, Vol. 141

  3. Detection of early stages of Alzheimer's disease based on MEG activity with a randomized convolutional neural network

    Artificial Intelligence in Medicine, Vol. 107

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

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

2019

  1. Adversarial environment reinforcement learning algorithm for intrusion detection

    Computer Networks, Vol. 159, pp. 96-109

  2. Exploratory study on Class Imbalance and solutions for Network Traffic Classification

    Neurocomputing, Vol. 343, pp. 100-119

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

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