:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gao, Weihao, Deng, Zhuo, Gong, Zheng, Jiang, Ziyi, Ma, Lan
Format:	Preprint
Published:	2025
Subjects:	Machine Learning 68T10 J.3
Online Access:	https://arxiv.org/abs/2503.05119
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Maternal and Fetal Health Status Assessment by Using Machine Learning on Optical 3D Body Scans
by: Cheng, Ruting, et al.
Published: (2025)

CNN-LSTM Hybrid Model for AI-Driven Prediction of COVID-19 Severity from Spike Sequences and Clinical Data
by: Cheohen, Caio, et al.
Published: (2025)

Predicting Drug-Drug Interactions Using Heterogeneous Graph Neural Networks: HGNN-DDI
by: Liu, Hongbo, et al.
Published: (2025)

Beyond Static Knowledge Messengers: Towards Adaptive, Fair, and Scalable Federated Learning for Medical AI
by: Arafat, Jahidul, et al.
Published: (2025)

Dynamical Predictive Modelling of Cardiovascular Disease Progression Post-Myocardial Infarction via ECG-Trained Artificial Intelligence Model
by: Cavarra, Riccardo, et al.
Published: (2026)

Exploring Gender-Specific Speech Patterns in Automatic Suicide Risk Assessment
by: Gerczuk, Maurice, et al.
Published: (2024)

Prediction of Binding Affinity for ErbB Inhibitors Using Deep Neural Network Model with Morgan Fingerprints as Features
by: Aman, La Ode
Published: (2025)

A HEART for the environment: Transformer-Based Spatiotemporal Modeling for Air Quality Prediction
by: Bodendorfer, Norbert
Published: (2025)

CST-YOLO: A Novel Method for Blood Cell Detection Based on Improved YOLOv7 and CNN-Swin Transformer
by: Kang, Ming, et al.
Published: (2023)

An Active Learning Pipeline for Biomedical Image Instance Segmentation with Minimal Human Intervention
by: Zhao, Shuo, et al.
Published: (2025)

OpenBreastUS: Benchmarking Neural Operators for Wave Imaging Using Breast Ultrasound Computed Tomography
by: Zeng, Zhijun, et al.
Published: (2025)

Generalisable prediction model of surgical case duration: multicentre development and temporal validation
by: Kabata, Daijiro, et al.
Published: (2025)

Diagnosing Heteroskedasticity and Resolving Multicollinearity Paradoxes in Physicochemical Property Prediction
by: Malikussaid, et al.
Published: (2025)

The Role of Machine Learning in Reducing Healthcare Costs: The Impact of Medication Adherence and Preventive Care on Hospitalization Expenses
by: Zhang, Yixin, et al.
Published: (2025)

Rademacher learning rates for iterated random functions
by: Sandrić, Nikola
Published: (2025)

The SAGES Critical View of Safety Challenge: A Global Benchmark for AI-Assisted Surgical Quality Assessment
by: Alapatt, Deepak, et al.
Published: (2025)

A Hyperspectral Imaging Dataset and Methodology for Intraoperative Pixel-Wise Classification of Metastatic Colon Cancer in the Liver
by: Kopriva, Ivica, et al.
Published: (2024)

Forecasting Oncology Demand Trends with Boosting-Based Bayesian Conjugate Models
by: Neto, Ademir Batista dos Santos, et al.
Published: (2026)

Retinal Fundus Multi-Disease Image Classification using Hybrid CNN-Transformer-Ensemble Architectures
by: Singh, Deependra, et al.
Published: (2025)

A Machine Learning Approach for the Efficient Estimation of Ground-Level Air Temperature in Urban Areas
by: Delgado-Enales, Iñigo, et al.
Published: (2024)

UniSurgSAM: A Unified Promptable Model for Reliable Surgical Video Segmentation
by: Liu, Haofeng, et al.
Published: (2026)

Finding Influential Cores via Normalized Ricci Flows in Directed and Undirected Hypergraphs with Applications
by: Sengupta, Prithviraj, et al.
Published: (2025)

GAN-GA: A Generative Model based on Genetic Algorithm for Medical Image Generation
by: AbdulRazek, M., et al.
Published: (2023)

An Allele-Centric Pan-Graph-Matrix Representation for Scalable Pangenome Analysis
by: Garrone, Roberto
Published: (2025)

Chreode: A Cell World Model for One-Step Temporal Dynamics and Perturbation Prediction
by: Qiu, Mufan, et al.
Published: (2026)

Topology-enhanced machine learning model (Top-ML) for anticancer peptide prediction
by: Tan, Joshua Zhi En, et al.
Published: (2024)

Predictors of disease outbreaks at continentalscale in the African region: Insights and predictions with geospatial artificial intelligence using earth observations and routine disease surveillance data
by: Pezanowski, Scott, et al.
Published: (2024)

A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors
by: Gong, Zheng, et al.
Published: (2025)

PDFMathTranslate: Scientific Document Translation Preserving Layouts
by: Ouyang, Rongxin, et al.
Published: (2025)

De-Individualizing fMRI Signals via Mahalanobis Whitening and Bures Geometry
by: Jacobson, Aaron, et al.
Published: (2025)

Analyzing and Exploring Training Recipes for Large-Scale Transformer-Based Weather Prediction
by: Willard, Jared D., et al.
Published: (2024)

An Artificial Intelligence-Based Framework for Predicting Emergency Department Overcrowding: Development and Evaluation Study
by: Vural, Orhun, et al.
Published: (2025)

Learning Domain-Invariant Representations for Cross-Domain Image Registration via Scene-Appearance Disentanglement
by: Qin, Jiahao, et al.
Published: (2026)

ASF-YOLO: A Novel YOLO Model with Attentional Scale Sequence Fusion for Cell Instance Segmentation
by: Kang, Ming, et al.
Published: (2023)

Feature Selection and Regularization in Multi-Class Classification: An Empirical Study of One-vs-Rest Logistic Regression with Gradient Descent Optimization and L1 Sparsity Constraints
by: Arafat, Jahidul, et al.
Published: (2025)

Advancing Brain Tumor Segmentation via Attention-based 3D U-Net Architecture and Digital Image Processing
by: Gad, Eyad, et al.
Published: (2025)

Multi-Modal Self-Supervised Learning for Surgical Feedback Effectiveness Assessment
by: Gupta, Arushi, et al.
Published: (2024)

CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation
by: Kang, Ming, et al.
Published: (2024)

Statistically Testing Training Data for Unwanted Error Patterns using Rule-Oriented Regression
by: Rass, Stefan, et al.
Published: (2025)

Prediction of high-frequency futures return directions based on the mean uncertainty classification methods: An application in China's future market
by: Peng, Ying, et al.
Published: (2025)