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Found 2 papers, 1 papers with code
Multi-Modal Machine Learning Framework for Automated Seizure Detection in Laboratory Rats
This article proposes a system that combines results from several types of models, all of which are trained on different data signals.
Local Large Language Models for Complex Structured Medical Tasks
This paper introduces an approach that combines the language reasoning capabilities of large language models (LLMs) with the benefits of local training to tackle complex, domain-specific tasks.
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