JOSÉ ANTONIO SÁEZ MUÑOZ

JOSÉ ANTONIO SÁEZ MUÑOZ

Datos abiertos UGR

Evolución de la producción científica

Producción periodo seleccionado
29
  • Libro 4
  • Capítulo de libro 1
  • Publicación en revista 24

Listado de producción

Listando 29 resultados
Titulo Año Tipo

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

JOSÉ ANTONIO SÁEZ MUÑOZ
2022 Articulo

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

LUIS ALBENDIN GARCÍA, GUILLERMO ARTURO CAÑADAS DE LA FUENTE, Elena María Ortega Campos, JOSÉ ANTONIO SÁEZ MUÑOZ, José Luis Romero Béjar, Nora Suleiman Martos
2022 Articulo

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

JOSÉ ANTONIO SÁEZ MUÑOZ, José Luis Romero Béjar
2022 Articulo

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

JOSÉ ANTONIO SÁEZ MUÑOZ, José Luis Romero Béjar
2022 Articulo

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

JOSÉ ANTONIO SÁEZ MUÑOZ
2021 Articulo

On the Regressand Noise Problem: Model Robustness and Synergy With Regression-Adapted Noise Filters

JOSÉ ANTONIO SÁEZ MUÑOZ
2021 Articulo

12th International Conference on Computational Intelligence in Security for Information Systems (CISIS 2019) and 10th International Conference on EUropean Transnational Education (ICEUTE 2019), Seville, Spain, May 13th-15th, 2019 Proceedings. Advances in

JOSÉ ANTONIO SÁEZ MUÑOZ
2020 Libro

14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), Seville, Spain, May 13¿15, 2019, Proceedings. . Advances in Intelligent Systems and Computing.

JOSÉ ANTONIO SÁEZ MUÑOZ
2020 Libro

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

JOSÉ ANTONIO SÁEZ MUÑOZ
2019 Articulo

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

JOSÉ ANTONIO SÁEZ MUÑOZ
2019 Articulo

KSUFS: A Novel Unsupervised Feature Selection Method Based on Statistical Tests for Standard and Big Data Problems

JOSÉ ANTONIO SÁEZ MUÑOZ
2019 Articulo

International Joint Conference SOCO’18-CISIS’18-ICEUTE’18 – San Sebastián, Spain, June 6-8, 2018, Proceedings. Advances in Intelligent Systems and Computing.

JOSÉ ANTONIO SÁEZ MUÑOZ
2019 Libro

Swarm intelligence for data mining classification tasks: an experimental study using medical decision problems

JOSÉ ANTONIO SÁEZ MUÑOZ
2018 Capítulo de libro

Hybrid Artificial Intelligent Systems: 13th International Conference, HAIS 2018, Oviedo, Spain, June 20-22, 2018, Proceedings. Lecture Notes in Artificial Intelligence.

JOSÉ ANTONIO SÁEZ MUÑOZ
2018 Libro

Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2016 Articulo

INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2016 Articulo

Analyzing the oversampling of different classes and types of examples in multi-class imbalanced datasets

JOSÉ ANTONIO SÁEZ MUÑOZ
2016 Articulo

On the Influence of Class Noise in Medical Data Classification: Treatment Using Noise Filtering Methods

JOSÉ ANTONIO SÁEZ MUÑOZ
2016 Articulo

SRCS: Statistical Ranking Color Scheme for Visualizing Parameterized Multiple Pairwise Comparisons with R

JOSÉ ANTONIO SÁEZ MUÑOZ
2015 Articulo

SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2015 Articulo

Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2015 Articulo

Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2014 Articulo

On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification

FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, ISAAC TRIGUERO VELÁZQUEZ, JOSÉ ANTONIO SÁEZ MUÑOZ
2014 Articulo

Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2014 Articulo

Predicting Noise Filtering Efficacy with Data Complexity Measures for Nearest Neighbor Classification

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2013 Articulo

A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning

FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2013 Articulo

Tackling the Problem of Classification with Noisy Data using Multiple Classifer Systems: Analysis of the Performance and Robustness

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2013 Articulo

Study on the Impact of Partition-Induced Dataset Shift on k-fold Cross-Validation

FRANCISCO HERRERA TRIGUERO, JOSÉ ANTONIO SÁEZ MUÑOZ
2012 Articulo

Missing data imputation for Fuzzy Rule Based Classification Systems

FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
2012 Articulo