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Robust Neural Particle Identification Models
The volume of data processed by the Large Hadron Collider experiments demands sophisticated selection rules typically based on machine learning algorithms. One of the shortcomings of these approaches is their profound sensitivity to the biases in training samples. In the case of particle identificat...
| Autores principales: | , , , , , |
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| Lenguaje: | eng |
| Publicado: |
2023
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| Materias: | |
| Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/2438/1/012119 http://cds.cern.ch/record/2850401 |