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Found 2 papers, 2 papers with code
Learning to Identify Electrons
We investigate whether state-of-the-art classification features commonly used to distinguish electrons from jet backgrounds in collider experiments are overlooking valuable information.
Data Analysis, Statistics and Probability High Energy Physics - Experiment High Energy Physics - Phenomenology
Parameterized Machine Learning for High-Energy Physics
We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters.
BIG-bench Machine Learning
Vocal Bursts Intensity Prediction
