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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,982 papers · 148 categories

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2 results for “bradycardia”

Explaining Deep Classification of Time-Series Data with Learned Prototypescs.LG

The paper uses learned prototypes to explain deep learning models for time-series data.

problem Lack of explainable AI in deep learning models for high-risk decisions.

method Learned prototypes in latent space of deep learning models.

result Prototypes improve classification decisions and provide explainable insights.

explainable AI deep learning time-series data prototypes bradycardia

2019-04-18abs ↗pdf ↗

Compact Neural Network Algorithm for Electrocardiogram Classificationeess.SP

Compact neural network for ECG classification reduces resource needs.

problem Current reliance on deep learning for ECG analysis requires extensive resources and large datasets.

method Simple ANN architecture with advanced feature engineering.

result Achieved 97.36% accuracy in classifying 4 types of arrhythmias.

ECG classification cardiac arrhythmia neural network feature engineering deep learning

2024-12-19abs ↗pdf ↗