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Borja Ayerdi
Borja Ayerdi
Iberdrola
Verified email at ehu.es - Homepage
Title
Cited by
Cited by
Year
Hyperspectral remote sensing scenes
M Grana, MA Veganzons, B Ayerdi
Grupo de Inteligencia Computacional (GIC), 2020
1392020
Random forest active learning for AAA thrombus segmentation in computed tomography angiography images
J Maiora, B Ayerdi, M Graña
Neurocomputing 126, 71-77, 2014
672014
Spatially regularized semisupervised ensembles of extreme learning machines for hyperspectral image segmentation
B Ayerdi, I Marqués, M Graña
Neurocomputing 149, 373-386, 2015
462015
Discrimination between Alzheimer’s disease and late onset bipolar disorder using multivariate analysis
A Besga, I Gonzalez, E Echeburua, A Savio, B Ayerdi, D Chyzhyk, ...
Frontiers in Aging Neuroscience 7, 231, 2015
412015
Hybrid extreme rotation forest
B Ayerdi, M Graña
Neural Networks 52, 33-42, 2014
352014
Hyperspectral image analysis by spectral–spatial processing and anticipative hybrid extreme rotation forest classification
B Ayerdi, MG Romay
IEEE Transactions on Geoscience and Remote Sensing 54 (5), 2627-2639, 2015
272015
Hyperspectral image nonlinear unmixing and reconstruction by ELM regression ensemble
B Ayerdi, M Graña
Neurocomputing 174, 299-309, 2016
252016
Risk factors for emergency department short time readmission in stratified population
A Besga, B Ayerdi, G Alcalde, A Manzano, P Lopetegui, M Graña, ...
BioMed research international 2015 (1), 685067, 2015
232015
Active learning with bootstrapped dendritic classifier applied to medical image segmentation
D Chyzhyk, B Ayerdi, J Maiora
Pattern Recognition Letters 34 (14), 1602-1608, 2013
192013
Using anticipative hybrid extreme rotation forest to predict emergency service readmission risk
A Artetxe, B Ayerdi, M Graña, S Rios
Journal of Computational Science 20, 154-161, 2017
172017
Meta-ensembles of classifiers for Alzheimer’s disease detection using independent ROI features
B Ayerdi, A Savio, M Graña
International Work-Conference on the Interplay Between Natural and …, 2013
162013
Eigenanatomy on fractional anisotropy imaging provides white matter anatomical features discriminating between Alzheimer’s disease and late onset bipolar disorder
A Besga, D Chyzhyk, I González-Ortega, A Savio, B Ayerdi, J Echeveste, ...
Current Alzheimer Research 13 (5), 557-565, 2016
102016
Active learning of hybrid extreme rotation forests for CTA image segmentation
B Ayerdi, J Maiora, M Graña
2012 12th International Conference on Hybrid Intelligent Systems (HIS), 543-548, 2012
102012
Applications of hybrid extreme rotation forests for image segmentation
B Ayerdi, J Maiora, A d'Anjou, M Graña
International Journal of Hybrid Intelligent Systems 11 (1), 13-24, 2014
92014
Random forest active learning for retinal image segmentation
B Ayerdi, M Graña
Proceedings of the 9th International Conference on Computer Recognition …, 2016
72016
Random forest active learning for computed tomography angiography image segmentation
J Maiora, B Ayerdi, M Graña
Neurocomputing, inpress, 2013
62013
Hyperspectral Remote Sensing Scenes. 2021
M Graña, MA Veganzons, B Ayerdi
6
A new heuristic for influence maximization in social networks
JD Nuñez-Gonzalez, B Ayerdi, M Graña, M Wozniak
Logic Journal of the IGPL 24 (6), 996-1014, 2016
52016
Anticipative hybrid extreme rotation forest
B Ayerdi, M Graña
Procedia Computer Science 80, 1671-1681, 2016
42016
A novel hyperspectral segmentation algorithm—concept and evaluation
P Ksieniewicz, D Jankowski, B Ayerdi, K Jackowski, M Grana, M Wozniak
Logic Journal of the IGPL 23 (1), 105-120, 2015
32015
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