Publikationen in Zusammenarbeit mit Forschern von Universidad de Cádiz (31)

2024

  1. Evaluating the impact of different Feature as a Counter data aggregation approaches on the performance of NIDSs and their selected features

    Logic Journal of the IGPL, Vol. 32, Núm. 2, pp. 263-280

  2. Neurodevelopmental Impairments Prediction in Premature Infants Based on Clinical Data and Machine Learning Techniques

    Stats, Vol. 7, Núm. 3, pp. 685-696

2023

  1. A Machine Learning Approach to Predict MRI Brain Abnormalities in Preterm Infants Using Clinical Data

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. Editorial of the Special Issue Intelligent Solutions for Efficient Logistics and Sustainable Transportation

    Applied Soft Computing

2022

  1. Improving the Reliability of Network Intrusion Detection Systems Through Dataset Integration

    IEEE Transactions on Emerging Topics in Computing, Vol. 10, Núm. 4, pp. 1717-1732

2021

  1. A comparison of ranking filter methods applied to the estimation of NO2 concentrations in the Bay of Algeciras (Spain)

    Stochastic Environmental Research and Risk Assessment, Vol. 35, Núm. 10, pp. 1999-2019

  2. A machine learning-based forecasting system of perishable cargo flow in maritime transport

    Neurocomputing, Vol. 452, pp. 487-497

  3. Artificial neural networks, sequence-to-sequence lstms, and exogenous variables as analytical tools for no2 (Air pollution) forecasting: A case study in the bay of Algeciras (Spain)

    Sensors, Vol. 21, Núm. 5, pp. 1-30

  4. Deep neural networks architecture driven by problem-specific information

    Neural Computing and Applications, Vol. 33, Núm. 15, pp. 9403-9423

  5. Hourly Air Quality Index (AQI) Forecasting Using Machine Learning Methods

    Advances in Intelligent Systems and Computing

2020

  1. A clustering-based hybrid support vector regression model to predict container volume at seaport sanitary facilities

    Applied Sciences (Switzerland), Vol. 10, Núm. 23, pp. 1-17

  2. A freight inspection volume forecasting approach using an aggregation/disaggregation procedure, machine learning and ensemble models

    Neurocomputing, Vol. 391, pp. 282-291

  3. A permutation entropy-based EMD–ANN forecasting ensemble approach for wind speed prediction

    Neural Computing and Applications, pp. 1-23

  4. Combining feature engineering and feature selection to improve the prediction of methionine oxidation sites in proteins

    Neural Computing and Applications, Vol. 32, Núm. 2, pp. 323-334

  5. Container demand forecasting at border posts of ports: A hybrid SARIMA-SOM-SVR approach

    Communications in Computer and Information Science

  6. Learning variables structure using evolutionary algorithms to improve predictive performance

    Communications in Computer and Information Science

  7. Preface

    Communications in Computer and Information Science

  8. Towards a reliable comparison and evaluation of network intrusion detection systems based on machine learning approaches

    Applied Sciences (Switzerland), Vol. 10, Núm. 5

2019

  1. A Deep Ensemble Neural Network Approach to Improve Predictions of Container Inspection Volume

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. A Genetic Algorithm and Neural Network Stacking Ensemble Approach to Improve NO2 Level Estimations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)