Borja Ayerdi
Borja Ayerdi
Iberdrola
Verified email at ehu.es - Homepage
Title
Cited by
Cited by
Year
Spatially regularized semisupervised ensembles of extreme learning machines for hyperspectral image segmentation
B Ayerdi, I Marqués, M Graña
Neurocomputing 149, 373-386, 2015
372015
Random forest active learning for AAA thrombus segmentation in computed tomography angiography images
J Maiora, B Ayerdi, M Graña
Neurocomputing 126, 71-77, 2014
362014
Hybrid extreme rotation forest
B Ayerdi, M Graña
Neural Networks 52, 33-42, 2014
262014
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
192015
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
182015
Hyperspectral image nonlinear unmixing and reconstruction by ELM regression ensemble
B Ayerdi, M Graña
Neurocomputing 174, 299-309, 2016
162016
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
162013
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, 2015
122015
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
92017
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
72014
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
72012
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
52016
Random forest active learning for computed tomography angiography image segmentation
J Maiora, B Ayerdi, M Graña
Neurocomputing, 2013
52013
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
42016
Anticipative hybrid extreme rotation forest
B Ayerdi, M Graña
Procedia Computer Science 80, 1671-1681, 2016
32016
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
32013
Random Forest Active Learning for Retinal Image Segmentation
B Ayerdi, M Graña
Proceedings of the 9th International Conference on Computer Recognition …, 2016
22016
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
22015
Automated segmentation of subcutaneous and visceral adipose tissues from MRI
B Ayerdi, O Echaniz, A Savio, M Graña
Innovation in Medicine and Healthcare 2015, 427-433, 2016
12016
Prediction of bladder cancer recurrences using artificial neural networks
EZ Guerrero, NT Garay, JM Lopez-Guede, BA Vilches, EE Iragorri, ...
International Conference on Hybrid Artificial Intelligence Systems, 492-499, 2010
12010
The system can't perform the operation now. Try again later.
Articles 1–20