Dr ISAAC TRIGUERO VELAZQUEZ's Outputs (4)

EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification (2020)
Journal Article
Le, H. L., Landa-Silva, D., Galar, M., Garcia, S., & Triguero, I. (2021). EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification. Applied Soft Computing, 101, Article 107033. https://doi.org/10.1016/j.asoc.2020.107033

© 2020 Learning from imbalanced datasets is highly demanded in real-world applications and a challenge for standard classifiers that tend to be biased towards the classes with the majority of the examples. Undersampling approaches reduce the size of... Read More about EUSC: A clustering-based surrogate model to accelerate evolutionary undersampling in imbalanced classification.

Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data (2020)
Journal Article
Maillo, J., Triguero, I., & Herrera, F. (2020). Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. IEEE Access, 8, 87918-87928. https://doi.org/10.1109/ACCESS.2020.2991800

It is recognized the importance of knowing the descriptive properties of a dataset when tackling a data science problem. Having information about the redundancy, complexity and density of a problem allows us to make decisions as to which data preproc... Read More about Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data.

A Local Search with a Surrogate Assisted Option for Instance Reduction (2020)
Presentation / Conference Contribution
Neri, F., & Triguero, I. (2020, April). A Local Search with a Surrogate Assisted Option for Instance Reduction. Presented at International Conference on the Applications of Evolutionary Computation (Part of EvoStar), Seville, Spain

In data mining, instance reduction is a key data pre-processing step that simplifies and cleans raw data, by either selecting or creating new samples, before applying a learning algorithm. This usually yields to a complex large scale and computationa... Read More about A Local Search with a Surrogate Assisted Option for Instance Reduction.

Galaxy Image Classification Based on Citizen Science Data: A Comparative Study (2020)
Journal Article
Jiménez, M., Torres Torres, M., John, R., & Triguero, I. (2020). Galaxy Image Classification Based on Citizen Science Data: A Comparative Study. IEEE Access, 8, 47232-47246. https://doi.org/10.1109/access.2020.2978804

Many research fields are now faced with huge volumes of data automatically generated by specialised equipment. Astronomy is a discipline that deals with large collections of images difficult to handle by experts alone. As a consequence, astronomers h... Read More about Galaxy Image Classification Based on Citizen Science Data: A Comparative Study.