activity
20162021
most citedSearch for new physics in top quark production with additional leptons in proton-proton collisions at 13 TeV using effective field theory

32 citations · 63 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DC2021★ 12 cited

Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre

Tommaso Diotalevi, Antonio Falabella, Barbara Martelli +5

The distributed Grid infrastructure for High Energy Physics experiments at the Large Hadron Collider (LHC) in Geneva comprises a set of computing centres, spread all over the world…

hep-ex2020★ 32 cited

Search for new physics in top quark production with additional leptons in proton-proton collisions at 13 TeV using effective field theory

CMS Collaboration

Events containing one or more top quarks produced with additional prompt leptons are used to search for new physics within the framework of an effective field theory (EFT). The dat…

hep-ex2020

MLaaS4HEP: Machine Learning as a Service for HEP

Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi

Machine Learning (ML) will play a significant role in the success of the upcoming High-Luminosity LHC (HL-LHC) program at CERN. An unprecedented amount of data at the exascale will…

cs.AI2020★ 3 cited

Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach

Leticia Decker, Daniel Leite, Luca Giommi +1

Detection of anomalous behaviors in data centers is crucial to predictive maintenance and data safety. With data centers, we mean any computer network that allows users to transmit…

physics.data-an2016★ 16 cited

Predicting dataset popularity for the CMS experiment

Valentin Kuznetsov, Ting Li, Luca Giommi +2

The CMS experiment at the LHC accelerator at CERN relies on its computing infrastructure to stay at the frontier of High Energy Physics, searching for new phenomena and making disc…