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Showing 2227-2247 of 3,511 articles

NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods

Neural View Synthesis (NVS) has demonstrated efficacy in generating high-fidelity dense viewpoint ...

Dec 2024 http://arxiv.org/abs/2412.08029v1

Of Dice and Games: A Theory of Generalized Boosting

Cost-sensitive loss functions are crucial in many real-world prediction problems, where different ...

Dec 2024 http://arxiv.org/abs/2412.08012v1

Combining knowledge graphs and LLMs for hazardous chemical information management and reuse

Human health is increasingly threatened by exposure to hazardous substances, particularly persiste...

Dec 2024 http://arxiv.org/abs/2412.09644v1

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery

As of 2023, a record 117 million people have been displaced worldwide, more than double the number...

Dec 2024 http://arxiv.org/abs/2412.07944v1

Access to care improves EHR reliability and clinical risk prediction model performance

Disparities in access to healthcare have been well-documented in the United States, but their effe...

Dec 2024 http://arxiv.org/abs/2412.07712v2

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

In modern chip design, placement aims at placing millions of circuit modules, which is an essentia...

Dec 2024 http://arxiv.org/abs/2412.07167v1

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction

Deep learning has made significant strides in automated brain tumor segmentation from magnetic res...

Dec 2024 http://arxiv.org/abs/2412.07156v1

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy

Objective:To develop a no-reference image quality assessment method using automated distortion rec...

Dec 2024 http://arxiv.org/abs/2412.06599v2

A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications

Background. Federated learning (FL) has gained wide popularity as a collaborative learning paradig...

Dec 2024 http://arxiv.org/abs/2412.06494v1

Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study

Large Language Models (LLMs) have demonstrated strong potential across legal tasks, yet the proble...

Dec 2024 http://arxiv.org/abs/2412.06272v2

Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications

Predictive machine learning (ML) models are computational innovations that can enhance medical dec...

Dec 2024 http://arxiv.org/abs/2412.05832v1

Public Health & Policy

Browse Categories

NeRF-NQA: No-Reference Quality Assessment for Scenes Generated by NeRF and Neural View Synthesis Methods

Of Dice and Games: A Theory of Generalized Boosting

Combining knowledge graphs and LLMs for hazardous chemical information management and reuse

PGRID: Power Grid Reconstruction in Informal Developments Using High-Resolution Aerial Imagery

Access to care improves EHR reliability and clinical risk prediction model performance

Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer

QCResUNet: Joint Subject-level and Voxel-level Segmentation Quality Prediction

A No-Reference Medical Image Quality Assessment Method Based on Automated Distortion Recognition Technology: Application to Preprocessing in MRI-guided Radiotherapy

A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications

Evaluating LLM-based Approaches to Legal Citation Prediction: Domain-specific Pre-training, Fine-tuning, or RAG? A Benchmark and an Australian Law Case Study

Fairness in Computational Innovations: Identifying Bias in Substance Use Treatment Length of Stay Prediction Models with Policy Implications

Test-time Cost-and-Quality Controllable Arbitrary-Scale Super-Resolution with Variable Fourier Components

A text-to-tabular approach to generate synthetic patient data using LLMs

BigDocs: An Open Dataset for Training Multimodal Models on Document and Code Tasks

Compliant Self Service Access to Secondary Use Clinical Data at Stanford Medicine

Interpretable Hierarchical Attention Network for Medical Condition Identification

Enhancing LLMs with Smart Preprocessing for EHR Analysis

Block MedCare: Advancing healthcare through blockchain integration with AI and IoT

Planning-Guided Diffusion Policy Learning for Generalizable Contact-Rich Bimanual Manipulation

Switchable deep beamformer for high-quality and real-time passive acoustic mapping

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models

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