Publicaciones en colaboración con investigadores/as de Universidad de Salamanca (30)

2024

  1. Tackling the problem of noisy IoT sensor data in smart agriculture: Regression noise filters for enhanced evapotranspiration prediction

    Expert Systems with Applications, Vol. 237

2023

  1. Application of percentile color intensities of borehole images for automatic fluorite grade assessment

    Ore Geology Reviews, Vol. 163

  2. Rock mass structural recognition from drill monitoring technology in underground mining using discontinuity index and machine learning techniques

    International Journal of Mining Science and Technology, Vol. 33, Núm. 5, pp. 555-571

2022

  1. ANCES: A novel method to repair attribute noise in classification problems

    Pattern Recognition, Vol. 121

  2. Evaluation metrics and dimensional reduction for binary classification algorithms: A case study on bankruptcy prediction

    Knowledge Engineering Review, Vol. 37, Núm. 4

2021

  1. Machine Learning and Traditional Econometric Models: A Systematic Mapping Study

    Journal of Artificial Intelligence and Soft Computing Research, Vol. 12, Núm. 2, pp. 79-100

  2. On the Regressand Noise Problem: Model Robustness and Synergy with Regression-Adapted Noise Filters

    IEEE Access, Vol. 9, pp. 145800-145816

  3. On the suitability of stacking-based ensembles in smart agriculture for evapotranspiration prediction

    Applied Soft Computing, Vol. 108

  4. Preface

    Advances in Intelligent Systems and Computing

  5. Preface

    Advances in Intelligent Systems and Computing

  6. The Importance of Latinx Showrunners in Getting Authentic Latino TV Series in English-Language American Television: The Case of Tanya Saracho and Vida (Starz, 2018–2020)

    International Journal of Communication, Vol. 15, pp. 4774-4794

2020

  1. Preface

    Advances in Intelligent Systems and Computing

  2. Preface

    Advances in Intelligent Systems and Computing

  3. Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems

    Neurocomputing

2019

  1. A Meta-Learning Recommendation System for Characterizing Unsupervised Problems: On Using Quality Indices to Describe Data Conformations

    IEEE Access, Vol. 7, pp. 63247-63263

  2. Addressing the Overlapping Data Problem in Classification Using the One-vs-One Decomposition Strategy

    IEEE Access, Vol. 7, pp. 83396-83411

  3. Dataset Weighting via Intrinsic Data Characteristics for Pairwise Statistical Comparisons in Classification

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

  4. GarbMAS: Simulation of the application of gamification techniques to increase the amount of recycled waste through a multi-agent system

    Advances in Intelligent Systems and Computing

  5. KSUFs: A novel unsupervised feature selection method based on statistical tests for standard and big data problems

    IEEE Access, Vol. 7, pp. 99754-99770

  6. Preface

    Advances in Intelligent Systems and Computing