Publikationen, an denen er mitarbeitet Ignacio José Turias Domínguez (24)

2024

  1. 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)

2022

  1. A Virtual Sensor Approach to Estimate the Stainless Steel Final Chemical Characterisation

    17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022)

  2. Hourly pollutants forecasting using a deep learning approach to obtain the AQI

    Logic Journal of the IGPL

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

    Communications in Computer and Information Science

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

    Communications in Computer and Information Science

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)

  3. A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel

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

  4. A Machine Learning Approach to Determine Abundance of Inclusions in Stainless Steel

    Hybrid Artificial Intelligent Systems. 14th International Conference, HAIS 2019: León, Spain, September 4–6, 2019. Proceedings

  5. Addition of Pathway-Based Information to Improve Predictions in Transcriptomics

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

  6. Ro-Ro Freight Forecasting Based on an ANN-SVR Hybrid Approach. Case of the Strait of Gibraltar

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