Presentation at the 13th Quark Confinement and the Hadron Spectrum conference on 03 August 2018 (https://indico.cern.ch/event/648004/contributions/3032015/).</p
Unsupervised New Physics detection at 40 MHz data challenge Training dataset, consisting of a cockt...
To better understand and identify the four top quark production event in proton-proton collisions at...
Two new algorithms for use in the analysis of pp collision are developed to identify the flavour of ...
Presentation at the 13th Quark Confinement and the Hadron Spectrum conference on 03 August 2018 (htt...
Presentation at the 23rd International Conference on Computing in High-Energy and Nuclear Physics (C...
I discuss the choice of evaluation metrics for binary classifiers in High Energy Physics (HEP) event...
This data provides the detailed test results of the benchmarking for the binary-classification perfo...
junipr is an approach to unsupervised learning in particle physics that scaffolds a probabilistic mo...
We present a fast training algorithm for the kernel Fisher discriminant classifier. It uses a greedy...
Particle physics explores the fundamental building blocks of nature and their interactions. Experime...
In this paper, we empirically analyze two methods for computing the threshold in Fisher's class...
Presentation at the Inter-Experimental LHC Machine Learning Working Group (IML) Meeting on 26 Januar...
The power to discriminate between light-quark jets and gluon jets would have a huge impact on many s...
Summary: Bayesian Networks (BNs) are versatile probabilistic models applicable to many different bio...
We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.dark...
Unsupervised New Physics detection at 40 MHz data challenge Training dataset, consisting of a cockt...
To better understand and identify the four top quark production event in proton-proton collisions at...
Two new algorithms for use in the analysis of pp collision are developed to identify the flavour of ...
Presentation at the 13th Quark Confinement and the Hadron Spectrum conference on 03 August 2018 (htt...
Presentation at the 23rd International Conference on Computing in High-Energy and Nuclear Physics (C...
I discuss the choice of evaluation metrics for binary classifiers in High Energy Physics (HEP) event...
This data provides the detailed test results of the benchmarking for the binary-classification perfo...
junipr is an approach to unsupervised learning in particle physics that scaffolds a probabilistic mo...
We present a fast training algorithm for the kernel Fisher discriminant classifier. It uses a greedy...
Particle physics explores the fundamental building blocks of nature and their interactions. Experime...
In this paper, we empirically analyze two methods for computing the threshold in Fisher's class...
Presentation at the Inter-Experimental LHC Machine Learning Working Group (IML) Meeting on 26 Januar...
The power to discriminate between light-quark jets and gluon jets would have a huge impact on many s...
Summary: Bayesian Networks (BNs) are versatile probabilistic models applicable to many different bio...
We describe the outcome of a data challenge conducted as part of the Dark Machines (https://www.dark...
Unsupervised New Physics detection at 40 MHz data challenge Training dataset, consisting of a cockt...
To better understand and identify the four top quark production event in proton-proton collisions at...
Two new algorithms for use in the analysis of pp collision are developed to identify the flavour of ...
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