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TrackML: a LHC Tracking Machine Learning Challenge

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https://hal.inria.fr/hal-01422939
Contributor : Cecile Germain Connect in order to contact the contributor
Submitted on : Tuesday, December 27, 2016 - 9:25:39 PM
Last modification on : Friday, November 18, 2022 - 9:27:52 AM

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  • HAL Id : hal-01422939, version 1

Citation

David Rousseau, Paolo Calafiura, Cecile Germain, Vincenzo Innocente, Riccardo Cenci, et al.. TrackML: a LHC Tracking Machine Learning Challenge. International Conference on Computing in High Energy and Nuclear Physics, Oct 2016, San Francisco, United States. ⟨hal-01422939⟩

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