Open Access
Editorial
Modern machine learning and particle physics: an in-depth review
Published online: 16 October 2024
DOI: 10.1140/epjs/s11734-024-01364-3
The European Physical Journal Special Topics
Modern Machine Learning and Particle Physics: An In-Depth Review
Biplob Bhattacherjee and Swagata Mukherjee (Guest editors)
Regular Article
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
Published online: 26 September 2024
DOI: 10.1140/epjs/s11734-024-01308-x
Open Access
Review
Unveiling the secrets of new physics through top quark tagging
Published online: 24 September 2024
DOI: 10.1140/epjs/s11734-024-01257-5
Open Access
Review
Top-philic machine learning
Published online: 25 July 2024
DOI: 10.1140/epjs/s11734-024-01237-9
Review
Interplay of traditional methods and machine learning algorithms for tagging boosted objects
Published online: 31 July 2024
DOI: 10.1140/epjs/s11734-024-01256-6
Review
Unsupervised and lightly supervised learning in particle physics
Published online: 08 July 2024
DOI: 10.1140/epjs/s11734-024-01235-x
Review
Probing intractable beyond-standard-model parameter spaces armed with machine learning
Published online: 15 July 2024
DOI: 10.1140/epjs/s11734-024-01236-w
Open Access
Review
Foundations of automatic feature extraction at LHC–point clouds and graphs
Published online: 11 September 2024
DOI: 10.1140/epjs/s11734-024-01306-z
Open Access
Review
How deep learning is complementing deep thinking in ATLAS
Published online: 05 July 2024
DOI: 10.1140/epjs/s11734-024-01238-8
Review
Machine learning in high energy physics: a review of heavy-flavor jet tagging at the LHC
Published online: 19 July 2024
DOI: 10.1140/epjs/s11734-024-01234-y
Review
Machine learning in experimental neutrino physics
Published online: 19 August 2024
DOI: 10.1140/epjs/s11734-024-01280-6
