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Subcategories: Devices and Vaccines Prescriptions

Showing 1366-1386 of 10,587 articles

Concept Bottleneck Large Language Models

We introduce Concept Bottleneck Large Language Models (CB-LLMs), a novel framework for building in...

(3)

Dec 2024 http://arxiv.org/abs/2412.07992v3

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography

Objective: To develop a fast image reconstruction method for stroke monitoring with electrical imp...

(1)

Dec 2024 http://arxiv.org/abs/2412.07888v1

Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting

This paper introduces Test-time Correction (TTC) system, a novel online 3D detection system design...

Dec 2024 http://arxiv.org/abs/2412.07768v2

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection

The security of AI-generated content (AIGC) detection is crucial for ensuring multimedia content c...

Dec 2024 http://arxiv.org/abs/2412.06727v2

Event fields: Capturing light fields at high speed, resolution, and dynamic range

Event cameras, which feature pixels that independently respond to changes in brightness, are becom...

(1)

Dec 2024 http://arxiv.org/abs/2412.06191v1

Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies

The Internet of Things (IoT) has transformed healthcare, facilitating remote patient monitoring, e...

Dec 2024 http://arxiv.org/abs/2412.05904v1

Multiclass Post-Earthquake Building Assessment Integrating Optical and SAR Satellite Imagery, Ground Motion, and Soil Data with Transformers

Timely and accurate assessments of building damage are crucial for effective response and recovery...

Dec 2024 http://arxiv.org/abs/2412.04664v2

Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images

Post-flood building damage assessment is critical for rapid response and post-disaster reconstruct...

Dec 2024 http://arxiv.org/abs/2412.03015v2

Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement

Every year, thousands of people suffer from skull damage and require personalized implants to fill...

(1)

Nov 2024 http://arxiv.org/abs/2411.17342v1

ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

The paper describes a cohort of patients with post-acute COVID-19 syndrome, evaluated for the first ...

Nov 2024 39575788

Deep operator network models for predicting post-burn contraction

Burn injuries present a significant global health challenge. Among the most severe long-term conse...

Nov 2024 http://arxiv.org/abs/2411.14555v1

Mitigating Matching Biases Through Score Calibration

Record matching, the task of identifying records that correspond to the same real-world entities a...

Nov 2024 http://arxiv.org/abs/2411.01685v1

Toward a responsible future: recommendations for AI-enabled clinical decision support.

BACKGROUND: Integrating artificial intelligence (AI) in healthcare settings has the potential to ben...

Nov 2024 39325508

Facing Identity: The Formation and Performance of Identity via Face-Based Artificial Intelligence Technologies

How is identity constructed and performed in the digital via face-based artificial intelligence te...

(1)

Oct 2024 http://arxiv.org/abs/2410.12148v1

From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals

Epilepsy represents the most prevalent neurological disease in the world. One-third of people suff...

Oct 2024 http://arxiv.org/abs/2410.03385v1

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product

Background: One of the key FDA-approved medications for Opioid Use Disorder (OUD) is buprenorphine...

Oct 2024 http://arxiv.org/abs/2410.01633v1

Browse Categories

Concept Bottleneck Large Language Models

Graph convolutional networks enable fast hemorrhagic stroke monitoring with electrical impedance tomography

Test-time Correction with Human Feedback: An Online 3D Detection System via Visual Prompting

Take Fake as Real: Realistic-like Robust Black-box Adversarial Attack to Evade AIGC Detection

Event fields: Capturing light fields at high speed, resolution, and dynamic range

Quantum Threat in Healthcare IoT: Challenges and Mitigation Strategies

Multiclass Post-Earthquake Building Assessment Integrating Optical and SAR Satellite Imagery, Ground Motion, and Soil Data with Transformers

Benchmarking Attention Mechanisms and Consistency Regularization Semi-Supervised Learning for Post-Flood Building Damage Assessment in Satellite Images

Automatic Skull Reconstruction by Deep Learnable Symmetry Enforcement

ML-Based Framework to Predict the Severity of the Symptomatology in Patients with Post-Acute COVID-19 Syndrome.

Deep operator network models for predicting post-burn contraction

Mitigating Matching Biases Through Score Calibration

Toward a responsible future: recommendations for AI-enabled clinical decision support.

Facing Identity: The Formation and Performance of Identity via Face-Based Artificial Intelligence Technologies

From Epilepsy Seizures Classification to Detection: A Deep Learning-based Approach for Raw EEG Signals

A Thematic Framework for Analyzing Large-scale Self-reported Social Media Data on Opioid Use Disorder Treatment Using Buprenorphine Product

Precise Workcell Sketching from Point Clouds Using an AR Toolbox

Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review

Gradient-free Post-hoc Explainability Using Distillation Aided Learnable Approach

A Lesion-aware Edge-based Graph Neural Network for Predicting Language Ability in Patients with Post-stroke Aphasia

Interpretable breast cancer classification using CNNs on mammographic images

Browse Categories