Probing intractable beyond-standard-model parameter spaces armed with machine learning.
- Published in:
- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2597, doi. 10.1140/epjs/s11734-024-01236-w
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- Article
Works matching IS 19516355 AND DT 2024 AND VI 233 AND IP 15/16
Results: 11
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How deep learning is complementing deep thinking in ATLAS.
- Published in:
- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2641, doi. 10.1140/epjs/s11734-024-01238-8
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- Article
3
Modern machine learning and particle physics: an in-depth review.
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- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2421, doi. 10.1140/epjs/s11734-024-01364-3
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- Article
4
Searches for the BSM scenarios at the LHC using decision tree-based machine learning algorithms: a comparative study and review of random forest, AdaBoost, XGBoost and LightGBM frameworks.
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- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2425, doi. 10.1140/epjs/s11734-024-01308-x
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- Article
5
Foundations of automatic feature extraction at LHC–point clouds and graphs.
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- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2619, doi. 10.1140/epjs/s11734-024-01306-z
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- Article
6
Machine learning in experimental neutrino physics.
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- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2687, doi. 10.1140/epjs/s11734-024-01280-6
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- Article
7
Unveiling the secrets of new physics through top quark tagging.
- Published in:
- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2465, doi. 10.1140/epjs/s11734-024-01257-5
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- Article
8
Interplay of traditional methods and machine learning algorithms for tagging boosted objects.
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- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2531, doi. 10.1140/epjs/s11734-024-01256-6
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- Article
9
Top-philic machine learning.
- Published in:
- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2497, doi. 10.1140/epjs/s11734-024-01237-9
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- Article
10
Unsupervised and lightly supervised learning in particle physics.
- Published in:
- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2559, doi. 10.1140/epjs/s11734-024-01235-x
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- Article
11
Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC.
- Published in:
- European Physical Journal: Special Topics, 2024, v. 233, n. 15/16, p. 2657, doi. 10.1140/epjs/s11734-024-01234-y
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- Publication type:
- Article