Imagen de Portada

Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wang, Yulu, Zeng, Ziqian, Wu, Jianjun, Tang, Zhifeng
Formato:	Preprint
Publicado:	2026
Materias:	Machine Learning Artificial Intelligence
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Neural Thickets: Diverse Task Experts Are Dense Around Pretrained Weights
por: Gan, Yulu, et al.
Publicado: (2026)

Towards Reliable Evaluation of Adversarial Robustness for Spiking Neural Networks
por: Wang, Jihang, et al.
Publicado: (2025)

NN-Former: Rethinking Graph Structure in Neural Architecture Representation
por: Xu, Ruihan, et al.
Publicado: (2025)

Heterogeneous Learning Rate Scheduling for Neural Architecture Search on Long-Tailed Datasets
por: Tang, Chenxia
Publicado: (2024)

Joint Optimization of Resource Allocation and Data Selection for Fast and Cost-Efficient Federated Edge Learning
por: Jia, Yunjian, et al.
Publicado: (2024)

Permutation-Invariant Transformer Neural Architectures for Set-Based Indoor Localization Using Learned RSSI Embeddings
por: Aristorenas, Aris J.
Publicado: (2025)

Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
por: Xiao, Yubin, et al.
Publicado: (2024)

Set-Valued Sensitivity Analysis of Deep Neural Networks
por: Wang, Xin, et al.
Publicado: (2024)

Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm
por: Tang, Xirui, et al.
Publicado: (2024)

MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning
por: Zhang, Tao, et al.
Publicado: (2025)

Younger: The First Dataset for Artificial Intelligence-Generated Neural Network Architecture
por: Yang, Zhengxin, et al.
Publicado: (2024)

Calibrating LLM Judges: Linear Probes for Fast and Reliable Uncertainty Estimation
por: Radharapu, Bhaktipriya, et al.
Publicado: (2025)

Reliable Policy Iteration: Performance Robustness Across Architecture and Environment Perturbations
por: Eshwar, S. R., et al.
Publicado: (2025)

Multi-Granular Attention based Heterogeneous Hypergraph Neural Network
por: Jin, Hong, et al.
Publicado: (2025)

Graph Neural Architecture Search with GPT-4
por: Wang, Haishuai, et al.
Publicado: (2023)

Compositional Sparsity as an Inductive Bias for Neural Architecture Design
por: Lin, Hongyu, et al.
Publicado: (2026)

QuadEnhancer: Leveraging Quadratic Transformations to Enhance Deep Neural Networks
por: Chen, Qian, et al.
Publicado: (2025)

Fast-DataShapley: Neural Modeling for Training Data Valuation
por: Sun, Haifeng, et al.
Publicado: (2025)

Enhancing Deep Neural Network Reliability with Refinement and Calibration
por: Hebbalaguppe, Ramya, et al.
Publicado: (2026)

VINA: Variational Invertible Neural Architectures
por: Shekhar, Shubhanshu, et al.
Publicado: (2026)

Hybrid Autoencoders for Tabular Data: Leveraging Model-Based Augmentation in Low-Label Settings
por: Naor, Erel, et al.
Publicado: (2025)

The Dual-State Architecture for Reliable LLM Agents
por: Thompson, Matthew
Publicado: (2025)

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
por: Wang, Dingrong, et al.
Publicado: (2024)

DNAD: Differentiable Neural Architecture Distillation
por: Rao, Xuan, et al.
Publicado: (2025)

Leveraging Graph Neural Networks to Forecast Electricity Consumption
por: Campagne, Eloi, et al.
Publicado: (2024)

LLM4GNAS: A Large Language Model Based Toolkit for Graph Neural Architecture Search
por: Gao, Yang, et al.
Publicado: (2025)

Fast Graph Condensation with Structure-based Neural Tangent Kernel
por: Wang, Lin, et al.
Publicado: (2023)

BayesNAM: Leveraging Inconsistency for Reliable Explanations
por: Kim, Hoki, et al.
Publicado: (2024)

Predictive Inference With Fast Feature Conformal Prediction
por: Tang, Zihao, et al.
Publicado: (2024)

Predicting Public Health Impacts of Electricity Usage
por: Liu, Yejia, et al.
Publicado: (2025)

Multi-Objective Neural Architecture Search by Learning Search Space Partitions
por: Zhao, Yiyang, et al.
Publicado: (2024)

NASH: Neural Architecture and Accelerator Search for Multiplication-Reduced Hybrid Models
por: Xu, Yang, et al.
Publicado: (2024)

Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
por: Zhang, Zeyang, et al.
Publicado: (2024)

GraphRARE: Reinforcement Learning Enhanced Graph Neural Network with Relative Entropy
por: Peng, Tianhao, et al.
Publicado: (2023)

Causal-aware Graph Neural Architecture Search under Distribution Shifts
por: Li, Peiwen, et al.
Publicado: (2024)

Utilizing the LightGBM Algorithm for Operator User Credit Assessment Research
por: Li, Shaojie, et al.
Publicado: (2024)

Is Elo Rating Reliable? A Study Under Model Misspecification
por: Tang, Shange, et al.
Publicado: (2025)

One Permutation Is All You Need: Fast, Reliable Variable Importance and Model Stress-Testing
por: Dorador, Albert
Publicado: (2025)

Graph Attention Networks Unleashed: A Fast and Explainable Vulnerability Assessment Framework for Microgrids
por: Liu, Wei, et al.
Publicado: (2025)

Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights
por: Yang, Zeqin, et al.
Publicado: (2024)