- Categoría profesional: Profesora Titular de Universidad
- Departamento: Ciencias de la Computación e Inteligencia Artificial
- Centro: Escuela Politécnica Superior de Córdoba
- Datos contacto: Departamento Informática y Análisis Numérico, anexo C3, Campus Rabanales
- Teléfono: 957 218 535
- Correo electrónico: This email address is being protected from spambots. You need JavaScript enabled to view it.
Líneas de investigación:
- Machine Learning
- Preprocesamiento de datos
- Reducción de datos
- Escalado
- Big data
- Bioinformática
Publicaciones (selección):
- Garcia-Pedrajas, Nicolas; Cuevas, Jose Manuel; Romero-Del Castillo, Juan Antonio; De Haro-García, Aida. 2023. PARIS: Partial instance and training set selection. A new scalable approach to multi-label classification. Information Fusion. 95, pp. 120-142.
- De Haro-García, Aida; Pérez-parra Toledano, José; Cerruela-García, Gonzalo; Garcia-Pedrajas, Nicolas. 2022. Grab'Em: A Novel Graph-Based Method for Combining Feature Subset Selectors. IEEE Transactions on Cybernetics. pp. 1-13.
- De Haro-García, Aida; Cerruela-García, Gonzalo; Garcia-Pedrajas, Nicolas. 2020. Ensembles of feature selectors for dealing with q class-imbalanced datasets: A proposal and comparative study. Information Sciences. 540, pp. 89-116.
- Pérez-Rodríguez, Javier; De Haro-García, Aida; Garcia-Pedrajas, Nicolas. 2020. Floating search methodology for combining classification models for site recognition in DNA sequences. IEEE/ACM Transactions on Computational Biology and Bioinformatics.
- Cerruela-García, Gonzalo; Perez-parra Toledano, José; De Haro-García, Aida; Garcia-Pedrajas, Nicolas. 2020. Influence of feature rankers in the construction of molecular activity prediction models. Journal of Computer - Aided Molecular Design. 34, pp. 305-325.
- De Haro-García, Aida; Cerruela-García, Gonzalo; Garcia-Pedrajas, Nicolas. 2019. Instance selection based on boosting for instance-based learners. Pattern recognition. 96, pp. 106959-
- Cerruela-García, Gonzalo; De Haro-García, Aida; Pérez-parras, José; Garcia-Pedrajas, Nicolas. 2019. Improving the combination of results in the ensembles of prototype selectors. Neural Networks. 118, pp. 175-191.
- Cerruela-García, Gonzalo; Pérez-parras-toledano, José; De Haro-García, Aida; Garcia-Pedrajas, Nicolas. 2019. Filter feature selectors in the development of binary QSAR models. SAR and QSAR in Environmental Research. 30, pp. 313-345.
- Pérez-Rodríguez, Javier; De Haro-García, Aida; Romero-Del Castillo, Juan Antonio; Garcia-Pedrajas, Nicolas. 2018. A general framework for boosting feature subset selection algorithms. Information Fusion. 44, pp. 147-175.
- De Haro-García, Aida; Pérez-Rodríguez, Javier; Garcia-Pedrajas, Nicolas. 2018. Combining three strategies for evolutionary instance selection for instance-based learning. Swarm and Evolutionary Computation. 42, pp. 160-172.
