Publications (55) María Del Mar Martínez Ballesteros publications

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2025

  1. A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 47, Núm. 5, pp. 4140-4155

  2. A New Metric Based on Association Rules to Assess Feature-Attribution Explainability Techniques for Time Series Forecasting

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 47, Núm. 5, pp. 4140-4155

  3. A novel approach based on clustering and optimized ensemble deep learning for energy consumption forecasting in Ethiopia

    Neurocomputing, Vol. 637

  4. Bioinspired evolutionary metaheuristic based on COVID spread for discovering numerical association rules

    Proceedings of the ACM Symposium on Applied Computing

  5. Comparison of Explainable Machine Learning Methods for Early Prediction of Student Performance in Programming Courses

    Communications in Computer and Information Science

  6. Embedded feature selection for neural networks via learnable drop layer

    Logic Journal of the IGPL, Vol. 33, Núm. 5

  7. Nonlinear Ensemble Deep Learning Model for Energy Consumption Prediction with Bayesian Optimization

    Communications on Applied Nonlinear Analysis, Vol. 32, Núm. 1, pp. 155-172

  8. Road-traffic emissions of ultrafine particles and elemental black carbon in six Northern European cities

    Environmental Advances, Vol. 21

  9. Urban pollution impact assessment in six lithuanian cities with a focus on road traffic emissions - integrated framework for environmental health studies

    Journal of Hazardous Materials, Vol. 497

  10. Utilización de Socrative en el seguimiento y evaluación de clases de ingeniería informática

    Acciones educativas innovadoras en el ámbito universitario (Dykinson), pp. 1097-1122

2024

  1. Advances in time series forecasting: innovative methods and applications

    AIMS Mathematics

  2. Evolutionary Feature Selection for Time-Series Forecasting

    Proceedings of the ACM Symposium on Applied Computing

  3. Explainable Deep Learning with Embedded Feature Selection for Electricity Demand Forecasting

    Proceedings of International Conference on Smart Systems and Technologies, SST 2024

  4. Explainable deep learning on multi-target time series forecasting: An air pollution use case

    Results in Engineering, Vol. 24

  5. Explaining deep learning models for ozone pollution prediction via embedded feature selection

    Applied Soft Computing, Vol. 157

  6. From simple to complex: A sequential method for enhancing time series forecasting with deep learning

    Logic Journal of the IGPL, Vol. 32, Núm. 6, pp. 986-1003

  7. Multi-Objective Lagged Feature Selection Based on Dependence Coefficient for Time-Series Forecasting

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

  8. Time Series Forecasting in Agriculture: Explainable Deep Learning with Lagged Feature Selection

    Lecture Notes in Networks and Systems

  9. Uso de herramientas software colaborativas para el seguimiento, estudio y evaluación de clases de enseñanzas prácticas y desarrollo

    Enseñanza e innovación educativa en el ámbito universitario (Dykinson), pp. 1156-1167

2023

  1. A Bayesian Optimization-Based LSTM Model for Wind Power Forecasting in the Adama District, Ethiopia

    Energies, Vol. 16, Núm. 5