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1. Search for type-III seesaw heavy leptons with the ATLAS detector at the LHC
Tadej Novak, 2020, doctoral dissertation

Keywords: seesaw mechanism, type-III seesaw, fermion triplet, machine learning, boosted decision trees, neural networks, ATLAS, CERN, LHC Run 2, dilepton, two jets, missing transverse energy
Full text (file, 6,47 MB)

2. Application of copula functions for rainfall interception modelling
Nejc Bezak, Katarina Zabret, Mojca Šraj, 2018, original scientific article

Keywords: copula functions, rainfall interception, modelling, pine tree, birch tree, air temperature, decision trees, vapour pressure deficit
Full text (file, 2,47 MB) This document has more files! More...

3. Search for type-II seesaw mechanism processes with same charge leptons in the final states with the ATLAS detector
Blaž Leban, 2023, doctoral dissertation

Keywords: ATLAS, CERN, LHC Run 2, left-right symmetry, type-II seesaw, Zee-Babu model, machine learning, boosted decision trees, neural networks, same-charge leptons, doubly charged Higgs, lepton flavour violation
Full text (file, 9,17 MB)

4. CLUSPLUS
Matej Petković, Jurica Levatić, Dragi Kocev, Martin Breskvar, Sašo Džeroski, 2023, original scientific article

Keywords: machine learning, multi-target regression, multi-label classification, decision trees, feature importance, semi-supervised learning, random forests
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5. A comparative study of machine learning regression models for production systems condition monitoring
Denis Jankovič, Marko Šimic, Niko Herakovič, 2024, original scientific article

Keywords: hydraulic presses, metal forming, machine learning, linear regression, decision trees, support vector machines, gaussian process regression, artificial neural networks
Full text (file, 1,88 MB) This document has more files! More...
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