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Found 5 papers, 2 papers with code
Interpreting Inflammation Prediction Model via Tag-based Cohort Explanation
Machine learning is revolutionizing nutrition science by enabling systems to learn from data and make intelligent decisions.
Semi-Automated Construction of Food Composition Knowledge Base
A food composition knowledge base, which stores the essential phyto-, micro-, and macro-nutrients of foods is useful for both research and industrial applications.
KGLM: Integrating Knowledge Graph Structure in Language Models for Link Prediction
The ability of knowledge graphs to represent complex relationships at scale has led to their adoption for various needs including knowledge representation, question-answering, and recommendation systems.
Ranked #2 on
Link Prediction
on UMLS
BWCNN: Blink to Word, a Real-Time Convolutional Neural Network Approach
The system uses a Convolutional Neural Network (CNN) to find the blinking pattern, which is defined as a series of Open and Closed states.
A Distribution Adaptive Framework for Prediction Interval Estimation Using Nominal Variables
This work can facilitate broader usage of regression methods in medicine and biology where it is necessary to provide tight prediction intervals while preserving coverage when input variables are nominal.
