Listado de producción
Listando 55 resultados
| Titulo | Año | Tipo |
|---|---|---|
3SHACC: Three stages hybrid agglomerative constrained clustering
JOSÉ RAMÓN CANO DE AMO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2022 | Articulo |
The impact of heterogeneous distance functions on missing data imputation and classification performance
Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2022 | Articulo |
Enhancing instance-level constrained clustering through differential evolution
JOSÉ RAMÓN CANO DE AMO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2021 | Articulo |
Synthetic Sample Generation for Label Distribution Learning
JOSÉ RAMÓN CANO DE AMO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2021 | Articulo |
A tutorial on the segmentation of metallographic images: taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, Francisco David Charte Luque
|
2021 | Articulo |
ME-MEOA/DCC: Multiobjective constrained clustering through decomposition-based memetic elitism
JOSÉ RAMÓN CANO DE AMO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2021 | Articulo |
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, Francisco David Charte Luque, Emilio Guirado Hernández
|
2020 | Articulo |
DILS: Constrained clustering through dual iterative local search
JOSÉ RAMÓN CANO DE AMO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2020 | Articulo |
Big Data Preprocessing – Enabling Smart Data
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2020 | Libro |
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
2019 | Articulo |
Transforming Big Data into smart data: An insight on the use of the K nearest neighbors algorithm to obtain quality data.
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN, ISAAC TRIGUERO VELÁZQUEZ
|
2019 | Articulo |
Smartdata: Data preprocessing to achieve smart data in R
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN, FRANCISCO CHARTE OJEDA
|
2019 | Articulo |
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
2019 | Articulo |
Enabling Smart Data: Noise filtering in Big Data classification
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2019 | Articulo |
Label noise filtering techniques to improve monotonic classification
JOSÉ RAMÓN CANO DE AMO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2019 | Articulo |
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2019 | Articulo |
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
2019 | Articulo |
Transforming big data into smart data: An insight on the use of the k¿nearest neighbors algorithm to obtain quality data
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN, ISAAC TRIGUERO VELÁZQUEZ
|
2019 | Articulo |
CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
2018 | Articulo |
The NoiseFiltersR package: Label Noise Preprocessing in R
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, Pablo Morales Álvarez
|
2017 | Articulo |
Big Data: Preprocesamiento y calidad de datos
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2017 | Articulo |
KEEL 3.0: an open source software for multi-stage analysis in data mining
FRANCISCO HERRERA TRIGUERO, JESÚS ALCALÁ FERNÁNDEZ, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN, ISAAC TRIGUERO VELÁZQUEZ, Jose María Moyano Murillo
|
2017 | Articulo |
The influence of noise on the evolutionary fuzzy systems for subgroup discovery
JULIAN LUENGO MARTIN, Ángel Miguel García Vico
|
2016 | Articulo |
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 |
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2016 | Articulo |
Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition
JULIAN LUENGO MARTIN
|
2015 | Articulo |
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
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 |
Data Preprocessing in Data Mining
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2015 | Libro |
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 |
Tackling the Problem of Classification with Noisy Data using Multiple Classifier Systems: Analysis of the Performance and Robustness
JULIAN LUENGO MARTIN
|
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 |
On the Characterization of Noise Filters for Self-Training Semi-Supervised in Nearest Neighbor Classification
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN, ISAAC TRIGUERO VELÁZQUEZ
|
2013 | Articulo |
Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition
JULIAN LUENGO MARTIN
|
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 |
Shared Domains of Competence of Approximative Models using Measures of Separability of Classes
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
2012 | Articulo |
Missing data imputation for Fuzzy Rule Based Classification Systems
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN, JOSÉ ANTONIO SÁEZ MUÑOZ
|
2012 | Articulo |
A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning
SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2012 | Articulo |
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery
JULIAN LUENGO MARTIN
|
2012 | Articulo |
On the choice of the best imputation methods for missing values considering three groups of classification methods
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2012 | Articulo |
SOFT COMPUTING BASED LEARNING AND DATA ANALYSIS: MISSING VALUES AND DATA COMPLEXITY
FRANCISCO HERRERA TRIGUERO (Director), JULIAN LUENGO MARTIN (Doctorando)
|
2011 | Tesis Doctoral |
KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework
FRANCISCO HERRERA TRIGUERO, JESÚS ALCALÁ FERNÁNDEZ, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2011 | Articulo |
Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2011 | Articulo |
Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2011 | Articulo |
A STUDY ON THE USE OF IMPUTATION METHODS FOR EXPERIMENTATION WITH RADIAL BASIS FUNCTION NETWORK CLASSIFIERS HANDLING MISSING ATTRIBUTE VALUES: THE GOOD SYNERGY BETWEEN RBFNS AND EVENTCOVERING METHOD
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2010 | Articulo |
ADVANCED NONPARAMETRIC TESTS FOR MULTIPLE COMPARISONS IN THE DESIGN OF EXPERIMENTS IN COMPUTATIONAL INTELLIGENCE AND DATA MINING: EXPERIMENTAL ANALYSIS OF POWER
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2010 | Articulo |
GENETICS-BASED MACHINE LEARNING FOR RULE INDUCTION: STATE OF THE ART, TAXONOMY AND COMPARATIVE STUDY
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2010 | Articulo |
DOMAINS OF COMPETENCE OF FUZZY RULE BASED CLASSIFICATION SYSTEMS WITH DATA COMPLEXITY MEASURES: A CASE OF STUDY USING A FUZZY HYBRID GENETIC BASED MACHINE LEARNING METHOD
FRANCISCO HERRERA TRIGUERO, JULIAN LUENGO MARTIN
|
2010 | Articulo |
A STUDY ON THE USE OF STATISTICAL TESTS FOR EXPERIMENTATION WITH NEURAL NETWORKS: ANALYSIS OF PARAMETRIC TEST CONDITIONS AND NON-PARAMETRIC TESTS
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, JULIAN LUENGO MARTIN
|
2009 | Articulo |
A STUDY OF STATISTICAL TECHNIQUES AND PERFORMANCE MEASURES FOR GENETICS-BASED MACHINE LEARNING: ACCURACY AND INTERPRETABILITY
FRANCISCO HERRERA TRIGUERO, SALVADOR GARCÍA LÓPEZ, Alberto Fernández Hilario, JULIAN LUENGO MARTIN
|
2009 | Articulo |
An analysis on the use of pre-processing methods in evolutionary fuzzy systems for subgroup discovery
JULIAN LUENGO MARTIN
|
- | Articulo |