Publikationen (44) Publikationen von JOSÉ ANTONIO SÁEZ MUÑOZ

2024

  1. Compact Class-conditional Attribute Category Clustering: Amino Acid Grouping for Enhanced HIV-1 Protease Cleavage Classification

    IEEE/ACM Transactions on Computational Biology and Bioinformatics

  2. Differentiating Pressure Ulcer Risk Levels through Interpretable Classification Models Based on Readily Measurable Indicators

    Healthcare (Switzerland), Vol. 12, Núm. 9

  3. On the Suitability of Fuzzy Rule-Based Classification Systems with Noisy Data

    IEEE Transactions on Fuzzy Systems

  4. 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. Noise simulation in classification with the noisemodel R package: Applications analyzing the impact of errors with chemical data

    Journal of Chemometrics, Vol. 37, Núm. 5

2022

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

    Pattern Recognition, Vol. 121

  2. Decision-Tree-Based Approach for Pressure Ulcer Risk Assessment in Immobilized Patients

    International Journal of Environmental Research and Public Health, Vol. 19, Núm. 18

  3. Explanatory Models of Burnout Diagnosis Based on Personality Factors in Primary Care Nurses

    International journal of environmental research and public health, Vol. 19, Núm. 15

  4. Impact of Regressand Stratification in Dataset Shift Caused by Cross-Validation

    Mathematics, Vol. 10, Núm. 14

  5. Noise Models in Classification: Unified Nomenclature, Extended Taxonomy and Pragmatic Categorization

    Mathematics, Vol. 10, Núm. 20

  6. On the Suitability of Bagging-Based Ensembles with Borderline Label Noise

    Mathematics, Vol. 10, Núm. 11

2021

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

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

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

    Applied Soft Computing, Vol. 108

2020

  1. Preface

    Advances in Intelligent Systems and Computing

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

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

  5. Preface

    Advances in Intelligent Systems and Computing

2018

  1. Multi-class imbalanced data oversampling for vertebral column pathologies classification

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