Julián Luengo

发表

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..

From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification

Francisco Herrera, Julián Luengo, Diego García-Gil, 2019, Int. J. Intell. Syst..

Preprocessing methodology for time series: An industrial world application case study

Francisco Herrera, Julián Luengo, Salvador García, 2020, Inf. Sci..

Big Data Preprocessing: Enabling Smart Data

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

A First Approach on Big Data Missing Values Imputation

Francisco Herrera, Julián Luengo, Jesús Maillo, 2019, IoTBDS.

Imperfect Big Data

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

Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy, and Comparative Study

Francisco Herrera, Salvador García, Ester Bernadó-Mansilla, 2010, IEEE Transactions on Evolutionary Computation.

Imbalanced Data Preprocessing for Big Data

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

Dimensionality Reduction for Big Data

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

Final Thoughts: From Big Data to Smart Data

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

Big data preprocessing: methods and prospects

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

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..

José Ramón Cano, Julián Luengo, Salvador García, 2020, HICSS.

Agglomerative Constrained Clustering Through Similarity and Distance Recalculation

Salvador García, Julián Luengo, Juan-Luis Suárez, 2020, Hybrid Artificial Intelligence Systems.

Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool

Jesús Alcalá-Fdez, Francisco Herrera, Julián Luengo, 2009, IDEAL.

A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost

Francisco Herrera, Anabel Gómez-Ríos, Julián Luengo, 2017, HAIS.

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

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

Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks

Francisco Herrera, Siham Tabik, Anabel Gómez-Ríos, 2019, Knowl. Based Syst..

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..

Data Reduction for Big Data

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

The influence of noise on the evolutionary fuzzy systems for subgroup discovery

M. Dolores Pérez-Godoy, Cristóbal J. Carmona, Ángel Miguel García-Vico, 2016, Soft Comput..

Big Data Discretization

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

Data Preprocessing [R package smartdata version 1.0.3]

Salvador García, Francisco Herrera, Julián Luengo, 2019 .

Synthetic Sample Generation for Label Distribution Learning

José Ramón Cano, Salvador García, Julián Luengo, 2021, Inf. Sci..

Big Data: Technologies and Tools

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

Big Data Software

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

Enabling Smart Data: Noise filtering in Big Data classification

Francisco Herrera, Julián Luengo, Salvador García, 2017, Inf. Sci..

DILS: Constrained clustering through dual iterative local search

José Ramón Cano, Salvador García, Julián Luengo, 2020, Comput. Oper. Res..