y0news
AnalyticsDigestsSourcesTopicsRSSAICrypto

#noise-reduction News & Analysis

5 articles tagged with #noise-reduction. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

5 articles
AINeutralarXiv – CS AI · May 16/10
🧠

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Researchers propose using large language models as graph structure refiners to improve EEG-based seizure detection by identifying and removing redundant connections in noisy neural signal data. A two-stage framework combining Transformer-based edge prediction with LLM validation demonstrates improved accuracy and more interpretable graph representations on the TUSZ dataset.

AIBullisharXiv – CS AI · Feb 275/106
🧠

Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise

Researchers propose QARMVC, a new AI framework for multi-view clustering that addresses heterogeneous noise in real-world data. The system uses quality scores to identify contamination levels and employs hierarchical learning to improve clustering performance, showing superior results across benchmark datasets.

AIBullisharXiv – CS AI · Mar 35/104
🧠

Noise reduction in BERT NER models for clinical entity extraction

Researchers developed a Noise Removal model to improve precision in clinical entity extraction using BERT-based Named Entity Recognition systems. The model uses advanced features like Probability Density Maps to identify weak vs strong predictions, reducing false positives by 50-90% in clinical NER applications.

AINeutralarXiv – CS AI · Mar 34/103
🧠

DAWN-FM: Data-Aware and Noise-Informed Flow Matching for Solving Inverse Problems

Researchers introduce DAWN-FM, a new AI method using Flow Matching to solve inverse problems in fields like medical imaging and signal processing. The approach incorporates data and noise embedding to provide robust solutions even with incomplete or noisy observations, outperforming pretrained diffusion models in highly ill-posed scenarios.