Publicaciones en colaboración con investigadoras/es de Ikerbasque, Fundación Vasca para la Ciencia (147)

2024

  1. Analysis of Point Cloud Domain Gap Effects for 3D Object Detection Evaluation

    Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  2. COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge

    Sensors, Vol. 24, Núm. 5

  3. Clustering using graph convolution networks

    Progress in Artificial Intelligence

  4. Data and Label Graph Fusion for Semi-supervised Learning: Application to Image Categorization

    IS and T International Symposium on Electronic Imaging Science and Technology

  5. Data augmentation for deep visual recognition using superpixel based pairwise image fusion

    Information Fusion, Vol. 107

  6. Emb-trattunet: a novel edge loss function and transformer-CNN architecture for multi-classes pneumonia infection segmentation in low annotation regimes

    Artificial Intelligence Review, Vol. 57, Núm. 4

  7. Environmental Constraints for Intelligent Internet of Deep-Sea/Underwater Things Relying on Enterprise Architecture Approach

    Sensors, Vol. 24, Núm. 8

  8. Image Augmentation Preserving Object Parts Using Superpixels of Variable Granularity

    Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  9. Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification

    Cognitive Computation

  10. LGCOAMix: Local and Global Context-and-Object-Part-Aware Superpixel-Based Data Augmentation for Deep Visual Recognition

    IEEE Transactions on Image Processing, Vol. 33, pp. 205-215

  11. Large Scale Graph Construction and Label Propagation

    Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

  12. Lung pneumonia severity scoring in chest X-ray images using transformers

    Medical and Biological Engineering and Computing

  13. Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning

    BioMedInformatics, Vol. 4, Núm. 1, pp. 638-660

  14. Overcoming graph topology imbalance for inductive and scalable semi-supervised learning

    Applied Soft Computing, Vol. 151

  15. Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering

    Progress in Artificial Intelligence

  16. Sample-weighted fused graph-based semi-supervised learning on multi-view data

    Information Fusion, Vol. 104

  17. Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology

    ACM Transactions on Knowledge Discovery from Data, Vol. 18, Núm. 5

  18. Towards a unified framework for graph-based multi-view clustering

    Neural Networks, Vol. 173

  19. Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering

    Engineering Applications of Artificial Intelligence, Vol. 133

  20. Transformer-based fall detection in videos

    Engineering Applications of Artificial Intelligence, Vol. 132