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 |