Publikationen, an denen er mitarbeitet BORJA AYERDI VILCHES (19)

2017

  1. Using Anticipative Hybrid Extreme Rotation Forest to predict emergency service readmission risk

    Journal of Computational Science, Vol. 20, pp. 154-161

2016

  1. A new heuristic for influence maximization in social networks

    Logic Journal of the IGPL, Vol. 24, Núm. 6, pp. 996-1014

  2. An ad-hoc image segmentation of subcutaneous and visceral adipose tissue from abdomino-pelvic magnetic resonance images

    Smart Innovation, Systems and Technologies

  3. Anticipative hybrid extreme rotation forest

    Procedia Computer Science

  4. Automated segmentation of subcutaneous and visceral adipose tissues from MRI

    Smart Innovation, Systems and Technologies

  5. Eigenanatomy on fractional anisotropy imaging provides white matter anatomical features discriminating between Alzheimer’s disease and late onset bipolar disorder

    Current Alzheimer Research, Vol. 13, Núm. 5, pp. 557-565

  6. Hyperspectral image nonlinear unmixing and reconstruction by ELM regression ensemble

    Neurocomputing, Vol. 174, pp. 299-309

  7. Random forest active learning for retinal image segmentation

    Advances in Intelligent Systems and Computing

2015

  1. Discrimination between Alzheimer's disease and late onset bipolar disorder using multivariate analysis

    Frontiers in Aging Neuroscience, Vol. 7, Núm. DEC

  2. Risk Factors for Emergency Department Short Time Readmission in Stratified Population

    BioMed Research International, Vol. 2015

  3. Spatially regularized semisupervised Ensembles of Extreme Learning Machines for hyperspectral image segmentation

    Neurocomputing, Vol. 149, Núm. Part A, pp. 373-386

2014

  1. A novel hyperspectral segmentation algorithm-concept and evaluation

    Logic Journal of the IGPL, Vol. 23, Núm. 1, pp. 105-120

  2. Hybrid extreme rotation forest

    Neural Networks, Vol. 52, pp. 33-42

  3. Random forest active learning for AAA thrombus segmentation in computed tomography angiography images

    Neurocomputing, Vol. 126, pp. 71-77

2013

  1. Active Learning enhanced with Expert Knowledge for Computed Tomography Image Segmentation

    nImpact: The Journal of Innovation Impact, Vol. 6, Núm. 1, pp. 12-15

  2. Enhancing active learning computed tomography image segmentation with domain knowledge

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Meta-ensembles of classifiers for Alzheimer's disease detection using independent ROI features

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  4. On spatial regularization for semisupervised hyperspectral image segmentation using hybrid extreme rotation forest

    Workshop on Hyperspectral Image and Signal Processing, Evolution in Remote Sensing

2012

  1. Active learning of hybrid extreme rotation forests for CTA image segmentation

    Proceedings of the 2012 12th International Conference on Hybrid Intelligent Systems, HIS 2012