y0news
AnalyticsDigestsSourcesTopicsRSSAICrypto

#data-scarcity News & Analysis

4 articles tagged with #data-scarcity. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

4 articles
AIBullisharXiv – CS AI · May 117/10
🧠

Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy

Researchers demonstrated that federated learning enables multiple medical centers to collaboratively train pediatric organ segmentation models without sharing sensitive patient data. The approach matched local performance while significantly improving cross-center robustness for CT-based radiotherapy planning, addressing a critical gap in pediatric cancer care where data scarcity has limited model development.

AINeutralarXiv – CS AI · 4d ago6/10
🧠

An accuracy-aware extension to LRP-based pruning for CNNs to prevent cascading accuracy degradation in data-scarce transfer learning

Researchers propose an accuracy-aware pruning mechanism for CNNs that improves upon existing Layer-wise Relevance Propagation (LRP) methods to reduce model size without degrading performance in transfer learning scenarios with limited data. The approach dynamically adjusts pruning rates using harmonic mean of class accuracy, achieving 15% improvement in compression efficiency while maintaining task-specific accuracy.

AIBullisharXiv – CS AI · Apr 106/10
🧠

Synthetic Homes: A Multimodal Generative AI Pipeline for Residential Building Data Generation under Data Scarcity

Researchers developed a multimodal generative AI pipeline that creates synthetic residential building datasets from publicly available county records and images, addressing critical data scarcity challenges in building energy modeling. The system achieves over 65% overlap with national reference data, enabling scalable energy research and urban simulations without relying on expensive or privacy-restricted datasets.