Saved in:
| Main Authors: | Li, Yongming, Wang, Peng, Han, Bangdong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.01986 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
by: Rodrigues, E O, et al.
Published: (2026)
by: Rodrigues, E O, et al.
Published: (2026)
Quantum machine learning for image classification
by: Senokosov, Arsenii, et al.
Published: (2023)
by: Senokosov, Arsenii, et al.
Published: (2023)
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025)
by: Garrett, Shereiff, et al.
Published: (2025)
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
by: Taher, Josef, et al.
Published: (2025)
by: Taher, Josef, et al.
Published: (2025)
MedSAM-based lung masking for multi-label chest X-ray classification
by: Miao, Brayden, et al.
Published: (2025)
by: Miao, Brayden, et al.
Published: (2025)
A machine learning approach for image classification in synthetic aperture RADAR
by: Gaburro, Romina, et al.
Published: (2025)
by: Gaburro, Romina, et al.
Published: (2025)
An uncertainty-aware Bayesian framework for machine learning classification models: A case study in land cover classification
by: Bilson, Samuel, et al.
Published: (2025)
by: Bilson, Samuel, et al.
Published: (2025)
Randomized based restricted kernel machine for hyperspectral image classification
by: Quadir, A., et al.
Published: (2025)
by: Quadir, A., et al.
Published: (2025)
ADHD diagnosis based on action characteristics recorded in videos using machine learning
by: Li, Yichun, et al.
Published: (2024)
by: Li, Yichun, et al.
Published: (2024)
Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXR-LT challenge
by: Holste, Gregory, et al.
Published: (2023)
by: Holste, Gregory, et al.
Published: (2023)
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition
by: Sun, Shuofeng, et al.
Published: (2024)
by: Sun, Shuofeng, et al.
Published: (2024)
Deep learning-based approach for tomato classification in complex scenes
by: Mousse, Mikael A., et al.
Published: (2024)
by: Mousse, Mikael A., et al.
Published: (2024)
A comparative study on machine learning approaches for rock mass classification using drilling data
by: Hansen, Tom F., et al.
Published: (2024)
by: Hansen, Tom F., et al.
Published: (2024)
The object detection model uses combined extraction with KNN and RF classification
by: Kurniati, Florentina Tatrin, et al.
Published: (2024)
by: Kurniati, Florentina Tatrin, et al.
Published: (2024)
Towards classification-based representation learning for place recognition on LiDAR scans
by: Konoplia, Maksim, et al.
Published: (2025)
by: Konoplia, Maksim, et al.
Published: (2025)
CNN-based Repetitive self-revised learning for photos' aesthetics imbalanced classification
by: Dai, Ying
Published: (2020)
by: Dai, Ying
Published: (2020)
Nucleus subtype classification using inter-modality learning
by: Remedios, Lucas W., et al.
Published: (2024)
by: Remedios, Lucas W., et al.
Published: (2024)
FACT: Feature Adaptive Continual-learning Tracker for Multiple Object Tracking
by: Song, Rongzihan, et al.
Published: (2024)
by: Song, Rongzihan, et al.
Published: (2024)
Skin cancer diagnosis using NIR spectroscopy data of skin lesions in vivo using machine learning algorithms
by: Loss, Flavio P., et al.
Published: (2024)
by: Loss, Flavio P., et al.
Published: (2024)
Epanechnikov nonparametric kernel density estimation based feature-learning in respiratory disease chest X-ray images
by: Marsico, Veronica, et al.
Published: (2025)
by: Marsico, Veronica, et al.
Published: (2025)
GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization
by: Wang, Yikun, et al.
Published: (2025)
by: Wang, Yikun, et al.
Published: (2025)
Equilibrium contrastive learning for imbalanced image classification
by: Roh, Sumin, et al.
Published: (2026)
by: Roh, Sumin, et al.
Published: (2026)
Multi-stages attention Breast cancer classification based on nonlinear spiking neural P neurons with autapses
by: Yang, Bo, et al.
Published: (2023)
by: Yang, Bo, et al.
Published: (2023)
X-Omni: Reinforcement Learning Makes Discrete Autoregressive Image Generative Models Great Again
by: Geng, Zigang, et al.
Published: (2025)
by: Geng, Zigang, et al.
Published: (2025)
Reasoning in machine vision: learning to think fast and slow
by: Saeed, Shaheer U., et al.
Published: (2025)
by: Saeed, Shaheer U., et al.
Published: (2025)
An analysis of data variation and bias in image-based dermatological datasets for machine learning classification
by: Filho, Francisco, et al.
Published: (2025)
by: Filho, Francisco, et al.
Published: (2025)
Specificity-aware reinforcement learning for fine-grained open-world classification
by: Angheben, Samuele, et al.
Published: (2026)
by: Angheben, Samuele, et al.
Published: (2026)
Statistical analysis of multivariate planar curves and applications to X-ray classification
by: Moindjié, Issam-Ali, et al.
Published: (2025)
by: Moindjié, Issam-Ali, et al.
Published: (2025)
Multi-view learning for automatic classification of multi-wavelength auroral images
by: Yang, Qiuju, et al.
Published: (2023)
by: Yang, Qiuju, et al.
Published: (2023)
A baseline for machine-learning-based hepatocellular carcinoma diagnosis using multi-modal clinical data
by: Wang, Binwu, et al.
Published: (2025)
by: Wang, Binwu, et al.
Published: (2025)
CLASS-M: Adaptive stain separation-based contrastive learning with pseudo-labeling for histopathological image classification
by: Zhang, Bodong, et al.
Published: (2023)
by: Zhang, Bodong, et al.
Published: (2023)
Cluster-based human-in-the-loop strategy for improving machine learning-based circulating tumor cell detection in liquid biopsy
by: Husseini-Wüsthoff, Hümeyra, et al.
Published: (2024)
by: Husseini-Wüsthoff, Hümeyra, et al.
Published: (2024)
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMs
by: Wang, Jiahui, et al.
Published: (2025)
by: Wang, Jiahui, et al.
Published: (2025)
A machine learning pipeline for automated insect monitoring
by: Jain, Aditya, et al.
Published: (2024)
by: Jain, Aditya, et al.
Published: (2024)
Landcover classification and change detection using remote sensing and machine learning: a case study of Western Fiji
by: Gurjar, Yadvendra, et al.
Published: (2025)
by: Gurjar, Yadvendra, et al.
Published: (2025)
Limited-angle x-ray nano-tomography with machine-learning enabled iterative reconstruction engine
by: Zhao, Chonghang, et al.
Published: (2025)
by: Zhao, Chonghang, et al.
Published: (2025)
Impact of domain adaptation in deep learning for medical image classifications
by: Wu, Yihang, et al.
Published: (2026)
by: Wu, Yihang, et al.
Published: (2026)
Research on geometric figure classification algorithm based on Deep Learning
by: Wang, Ruiyang, et al.
Published: (2024)
by: Wang, Ruiyang, et al.
Published: (2024)
Bio-inspired fine-tuning for selective transfer learning in image classification
by: Davila, Ana, et al.
Published: (2026)
by: Davila, Ana, et al.
Published: (2026)
Leveraging feature communication in federated learning for remote sensing image classification
by: Duong, Anh-Kiet, et al.
Published: (2024)
by: Duong, Anh-Kiet, et al.
Published: (2024)
Similar Items
-
X-Ray cardiac angiographic vessel segmentation based on pixel classification using machine learning and region growing
by: Rodrigues, E O, et al.
Published: (2026) -
Quantum machine learning for image classification
by: Senokosov, Arsenii, et al.
Published: (2023) -
Machine learning and machine learned prediction in chest X-ray images
by: Garrett, Shereiff, et al.
Published: (2025) -
Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms
by: Taher, Josef, et al.
Published: (2025) -
MedSAM-based lung masking for multi-label chest X-ray classification
by: Miao, Brayden, et al.
Published: (2025)