Argitalpenak (80) Fernando Jimenez Barrionuevo argitalpenak

2024

  1. Surrogate-Assisted and Filter-Based Multiobjective Evolutionary Feature Selection for Deep Learning

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 35, Núm. 7, pp. 9591-9605

  2. Surrogate-assisted multi-objective evolutionary feature selection of generation-based fixed evolution control for time series forecasting with LSTM networks

    Swarm and Evolutionary Computation, Vol. 88

2023

  1. Multi-surrogate assisted multi-objective evolutionary algorithms for feature selection in regression and classification problems with time series data

    Information Sciences, Vol. 622, pp. 1064-1091

2022

  1. A predictive model for hospitalization and survival to COVID-19 in a retrospective population-based study

    Scientific Reports, Vol. 12, Núm. 1

  2. An Alternative Auction System to Generalized Second-Price for Real-Time Bidding Optimized Using Genetic Algorithms

    Lecture Notes in Networks and Systems

  3. Multi-objective evolutionary spatio-temporal forecasting of air pollution

    Future Generation Computer Systems, Vol. 136, pp. 15-33

  4. Multivariate Feature Ranking With High-Dimensional Data for Classification Tasks

    IEEE Access, Vol. 10, pp. 60421-60437

  5. Three-objective constrained evolutionary instance selection for classification: Wrapper and filter approaches

    Engineering Applications of Artificial Intelligence, Vol. 107

2021

  1. A time series forecasting based multi-criteria methodology for air quality prediction

    Applied Soft Computing, Vol. 113

  2. Multi-Objective Evolutionary Simultaneous Feature Selection and Outlier Detection for Regression

    IEEE Access, Vol. 9, pp. 135675-135688

2020

  1. A Methodology Based on Deep Q-Learning/Genetic Algorithms for Optimizing COVID-19 Pandemic Government Actions

    International Conference on Information and Knowledge Management, Proceedings

  2. A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy

    Artificial Intelligence in Medicine, Vol. 102

  3. Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction

    Artificial Intelligence in Medicine, Vol. 104

  4. Lag variables in nitrogen oxide concentration modelling: A case study in Wrocław, Poland

    Atmosphere, Vol. 11, Núm. 12, pp. 1-15

  5. Simple Versus Composed Temporal Lag Regression with Feature Selection, with an Application to Air Quality Modeling

    IEEE Conference on Evolving and Adaptive Intelligent Systems

2019

  1. A methodology for energy multivariate time series forecasting in smart buildings based on feature selection

    Energy and Buildings, Vol. 196, pp. 71-82

  2. A methodology for evaluating multi-objective evolutionary feature selection for classification in the context of virtual screening

    Soft Computing, Vol. 23, Núm. 18, pp. 8775-8800

  3. Multiobjective Evolutionary Feature Selection for Fuzzy Classification

    IEEE Transactions on Fuzzy Systems, Vol. 27, Núm. 5, pp. 1085-1099

  4. Multiobjective evolutionary feature selection and fuzzy classification of contact centre data

    Expert Systems, Vol. 36, Núm. 3

  5. Predicting the Risk of Academic Dropout with Temporal Multi-Objective Optimization

    IEEE Transactions on Learning Technologies, Vol. 12, Núm. 2, pp. 225-236