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Identifying and Reporting Dependent Adult abuse

Latest AI and machine learning research in identifying and reporting dependent adult abuse for healthcare professionals.

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Showing 841-861 of 2,385 articles
Pseudo-Labeling Driven Refinement of Benchmark Object Detection Datasets via Analysis of Learning Patterns

Benchmark object detection (OD) datasets play a pivotal role in advancing computer vision applicat...

InclusiViz : Visual Analytics of Human Mobility Data for Understanding and Mitigating Urban Segregation.

Urban segregation refers to the physical and social division of people, often driving inequalities w...

Jun 2025 40327496
Comprehensive reporting guidelines and checklist for studies developing and utilizing artificial intelligence models.

BACKGROUND: The rapid advancement of artificial intelligence (AI) in healthcare necessitates compreh...

Jun 2025 40468627
Improved surface NO Retrieval: Double-layer machine learning model construction and spatio-temporal characterization analysis in China (2018-2023).

As an important atmospheric pollutant causing serious harm to human health and the natural environme...

Jun 2025 40300536
Balancing incentives in committee-based blockchains

Blockchain protocols incentivize participation through monetary rewards, assuming rational actors ...

Automated Structured Radiology Report Generation

Automated radiology report generation from chest X-ray (CXR) images has the potential to improve c...

Resolving Knowledge Conflicts in Domain-specific Data Selection: A Case Study on Medical Instruction-tuning

Domain-specific instruction-tuning has become the defacto standard for improving the performance o...

Artificial intelligence and the impact of multiomics on the reporting of case reports.

The integration of artificial intelligence (AI) and multiomics has transformed clinical and life sci...

May 2025 40420936
Holistic White-light Polyp Classification via Alignment-free Dense Distillation of Auxiliary Optical Chromoendoscopy

White Light Imaging (WLI) and Narrow Band Imaging (NBI) are the two main colonoscopic modalities f...

MLLMs are Deeply Affected by Modality Bias

Recent advances in Multimodal Large Language Models (MLLMs) have shown promising results in integr...

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models

Vision-language retrieval (VLR) has attracted significant attention in both academia and industry,...

Development of Interactive Nomograms for Predicting Short-Term Survival in ICU Patients with Aplastic Anemia

Aplastic anemia is a rare, life-threatening hematologic disorder characterized by pancytopenia and...

EMRA-proxy: Enhancing Multi-Class Region Semantic Segmentation in Remote Sensing Images with Attention Proxy

High-resolution remote sensing (HRRS) image segmentation is challenging due to complex spatial lay...

Fashion Industry in the Age of Generative Artificial Intelligence and Metaverse: A systematic Review

The fashion industry is an extremely profitable market that generates trillions of dollars in reve...

AllMetrics: A Unified Python Library for Standardized Metric Evaluation and Robust Data Validation in Machine Learning

Machine learning (ML) models rely heavily on consistent and accurate performance metrics to evalua...

GAMA: Geometry-Aware Manifold Alignment via Structured Adversarial Perturbations for Robust Domain Adaptation

Domain adaptation remains a challenge when there is significant manifold discrepancy between sourc...

AuxDet: Auxiliary Metadata Matters for Omni-Domain Infrared Small Target Detection

Omni-domain infrared small target detection (IRSTD) poses formidable challenges, as a single model...

StPR: Spatiotemporal Preservation and Routing for Exemplar-Free Video Class-Incremental Learning

Video Class-Incremental Learning (VCIL) seeks to develop models that continuously learn new action...

When majority rules, minority loses: bias amplification of gradient descent

Despite growing empirical evidence of bias amplification in machine learning, its theoretical foun...

Fair-PP: A Synthetic Dataset for Aligning LLM with Personalized Preferences of Social Equity

Human preference plays a crucial role in the refinement of large language models (LLMs). However, ...

The Effects of Demographic Instructions on LLM Personas

Social media platforms must filter sexist content in compliance with governmental regulations. Cur...

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