Aida de Haro-García

Orcid: 0000-0003-0194-8082

According to our database1, Aida de Haro-García authored at least 27 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
A thorough experimental comparison of multilabel methods for classification performance.
Pattern Recognit., 2024

Extensive experimental comparison among multilabel methods focused on ranking performance.
Inf. Sci., 2024

Evolutionary simultaneous under and oversampling of instances for dealing with class-imbalance datasets in multilabel problems.
Appl. Soft Comput., 2024

2023
PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification.
Inf. Fusion, July, 2023

2022
Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors.
IEEE Trans. Cybern., 2022

2021
Floating Search Methodology for Combining Classification Models for Site Recognition in DNA Sequences.
IEEE ACM Trans. Comput. Biol. Bioinform., 2021

2020
Influence of feature rankers in the construction of molecular activity prediction models.
J. Comput. Aided Mol. Des., 2020

Ensembles of feature selectors for dealing with class-imbalanced datasets: A proposal and comparative study.
Inf. Sci., 2020

2019
Instance selection based on boosting for instance-based learners.
Pattern Recognit., 2019

Improving the combination of results in the ensembles of prototype selectors.
Neural Networks, 2019

2018
Combining three strategies for evolutionary instance selection for instance-based learning.
Swarm Evol. Comput., 2018

A general framework for boosting feature subset selection algorithms.
Inf. Fusion, 2018

2014
Boosting instance selection algorithms.
Knowl. Based Syst., 2014

A Scalable Memetic Algorithm for Simultaneous Instance and Feature Selection.
Evol. Comput., 2014

2013
OligoIS: Scalable Instance Selection for Class-Imbalanced Data Sets.
IEEE Trans. Cybern., 2013

A scalable approach to simultaneous evolutionary instance and feature selection.
Inf. Sci., 2013

2012
A Scalable Feature Selection Method to Improve the Analysis of Microarrays.
Proceedings of the Modern Advances in Intelligent Systems and Tools, 2012

Scaling up data mining algorithms: review and taxonomy.
Prog. Artif. Intell., 2012

Large scale instance selection by means of federal instance selection.
Data Knowl. Eng., 2012

2011
A scalable method for instance selection for class-imbalance datasets.
Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, 2011

Feature Selection for Translation Initiation Site Recognition.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

Instance Selection for Class Imbalanced Problems by Means of Selecting Instances More than Once.
Proceedings of the Advances in Artificial Intelligence, 2011

A Comparison of Two Strategies for Scaling Up Instance Selection in Huge Datasets.
Proceedings of the Advances in Artificial Intelligence, 2011

2010
Democratic instance selection: A linear complexity instance selection algorithm based on classifier ensemble concepts.
Artif. Intell., 2010

Scaling Up Feature Selection by Means of Democratization.
Proceedings of the Trends in Applied Intelligent Systems, 2010

Large Scale Instance Selection by Means of a Parallel Algorithm.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2010

2009
A divide-and-conquer recursive approach for scaling up instance selection algorithms.
Data Min. Knowl. Discov., 2009


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