Computer Vision and Pattern Discovery - GIU 19/027
Publicaciones (204) Publicaciones en las que ha participado algún/a investigador/a
2024
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An End-to-End Approach for Graph-based Multi-view Data Clustering
IEEE Transactions on Big Data
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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
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COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge
Sensors, Vol. 24, Núm. 5
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Clustering using graph convolution networks
Progress in Artificial Intelligence
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Data and Label Graph Fusion for Semi-supervised Learning: Application to Image Categorization
IS and T International Symposium on Electronic Imaging Science and Technology
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Data augmentation for deep visual recognition using superpixel based pairwise image fusion
Information Fusion, Vol. 107
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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
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Joint Label Propagation, Graph and Latent Subspace Estimation for Semi-supervised Classification
Cognitive Computation
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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
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Multi-Score Prediction for Lung Infection Severity in Chest X-Ray Images
IEEE Transactions on Emerging Topics in Computational Intelligence
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Naturalize Revolution: Unprecedented AI-Driven Precision in Skin Cancer Classification Using Deep Learning
BioMedInformatics, Vol. 4, Núm. 1, pp. 638-660
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Overcoming graph topology imbalance for inductive and scalable semi-supervised learning
Applied Soft Computing, Vol. 151
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Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering
Progress in Artificial Intelligence
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Sample-weighted fused graph-based semi-supervised learning on multi-view data
Information Fusion, Vol. 104
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Scalable and Inductive Semi-supervised Classifier with Sample Weighting Based on Graph Topology
ACM Transactions on Knowledge Discovery from Data, Vol. 18, Núm. 5
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Towards a unified framework for graph-based multi-view clustering
Neural Networks, Vol. 173
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Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering
Engineering Applications of Artificial Intelligence, Vol. 133
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Transformer-based fall detection in videos
Engineering Applications of Artificial Intelligence, Vol. 132
2023
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3D Domain Adaptive Instance Segmentation via Cyclic Segmentation GANs
IEEE Journal of Biomedical and Health Informatics, Vol. 27, Núm. 8, pp. 4018-4027
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A Comprehensive Deep Semi-supervised Graph Learning Approach Incorporating Node Re-weighting and Manifold Regularization
ACM International Conference Proceeding Series