Julián Luengo

发表

Big Data Preprocessing: Enabling Smart Data

Francisco Herrera, Sergio Ramírez-Gallego, Julián Luengo, 2020 .

S. García, S. Ramírez-Gallego, Francisco Herrera, 2020, Big Data Preprocessing.

Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data

Francisco Herrera, Julián Luengo, Isaac Triguero, 2018, WIREs Data Mining Knowl. Discov..

On the choice of the best imputation methods for missing values considering three groups of classification methods

Francisco Herrera, Salvador García, Julián Luengo, 2012, Knowledge and Information Systems.

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

Francisco Herrera, Joaquín Derrac, Julián Luengo, 2014, Pattern Recognit..

Data Reduction for Big Data

Sergio Ramírez-Gallego, Julián Luengo, Francisco Herrera, 2020 .

A study on the use of statistical tests for experimentation with neural networks: Analysis of parametric test conditions and non-parametric tests

Francisco Herrera, Salvador García, Julián Luengo, 2007, Expert Syst. Appl..

Big data preprocessing: methods and prospects

Francisco Herrera, Sergio Ramírez-Gallego, José Manuel Benítez, 2016 .

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, Salvador García, Julián Luengo, 2010, Neural Networks.

KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining

S. García, F. Herrera, Alberto Fernández, 2017, Int. J. Comput. Intell. Syst..

Dealing with Missing Values

Francisco Herrera, Salvador García, Julián Luengo, 2015 .

Data Preparation Basic Models

Francisco Herrera, Salvador García, Julián Luengo, 2015 .

A study of statistical techniques and performance measures for genetics-based machine learning: accuracy and interpretability

Francisco Herrera, Salvador García, Alberto Fernández, 2009, Soft Comput..

Missing data imputation for fuzzy rule-based classification systems

José A. Sáez, F. Herrera, J. Luengo, 2012, Soft Comput..

KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework

Jesús Alcalá-Fdez, Joaquín Derrac, Julián Luengo, 2011, J. Multiple Valued Log. Soft Comput..

Data Preprocessing in Data Mining

Francisco Herrera, Salvador García, Julián Luengo, 2014, Intelligent Systems Reference Library.

Fuzzy Rule Based Classification Systems versus crisp robust learners trained in presence of class noise's effects: A case of study

Francisco Herrera, Julián Luengo, José A. Sáez, 2011, 2011 11th International Conference on Intelligent Systems Design and Applications.

Enhancing instance-level constrained clustering through differential evolution

José Ramón Cano, Salvador García, Julián Luengo, 2021, Appl. Soft Comput..

A Survey on Semi-Supervised Semantic Segmentation

J. Luengo, Pablo Mesejo, Adrian Pel'aez-Vegas, 2023, ArXiv.

Exclusión social y exclusión educativa como fracasos. Conceptos y líneas para su comprensión e investigación

J. Luengo, J. Taberner, Magdalena Jiménez, 2009 .

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

Francisco Herrera, Julián Luengo, José A. Sáez, 2016, Neurocomputing.

Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation pdf

Francisco Herrera, Bartosz Krawczyk, Siham Tabik, 2018, Expert Syst. Appl..

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

Francisco Herrera, Salvador García, Julián Luengo, 2014, Neurocomputing.

Imputation of Missing Values Methods ’ Description

S. García, F. Herrera, J. Luengo, 2009 .

Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries

Francisco Herrera, Julián Luengo, Salvador García, 2019, IoTBDS.

Big Data Software

Sergio Ramírez-Gallego, Julián Luengo, Francisco Herrera, 2020 .

Big Data Discretization

Sergio Ramírez-Gallego, Julián Luengo, Francisco Herrera, 2020 .

Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

Francisco Herrera, Salvador García, Julián Luengo, 2016, Knowl. Based Syst..

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

Francisco Herrera, Salvador García, Julián Luengo, 2013, IEEE Transactions on Knowledge and Data Engineering.

Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental analysis of power

Francisco Herrera, Salvador García, Alberto Fernández, 2010, Inf. Sci..

A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges

Pablo Mesejo, Julián Luengo, David Charte, 2021, Inf. Fusion.