activity
20122021
most citedSearch for anomalies in the neutrino sector with muon spectrometers and large LArTPC imaging detectors at CERN

6 citations · 14 across the 5 of their papers we have counts for

collaborators

8 papers

cs.LG2021

Drift Estimation with Graphical Models

Luigi Riso, Marco Guerzoni

This paper deals with the issue of concept drift in supervised machine learn-ing. We make use of graphical models to elicit the visible structure of the dataand we infer from there…

econ.EM20203 cited

The pain of a new idea: Do Late Bloomers response to Extension Service in Rural Ethiopia?

Alexander Jordan, Marco Guerzoni

The paper analyses the efficiency of extension programs in the adoption of chemical fertilisers in Ethiopia between 1994 and 2004. Fertiliser adoption provides a suitable strategy…

stat.AP20202 cited

The more you ask, the less you get: the negative impact of collaborative overload on performance

Anna Velyka, Marco Guerzoni

This paper is about the possible negative impact of excessive collaboration on the performance of top employees. With the rise of participatory culture and developments in communic…

physics.ins-det2020

SiPM-matrix readout of two-phase argon detectors using electroluminescence in the visible and near infrared range

The DarkSide collaboration, C. E. Aalseth, S. Abdelhakim +312

Proportional electroluminescence (EL) in noble gases is used in two-phase detectors for dark matter searches to record (in the gas phase) the ionization signal induced by particle…

astro-ph.IM2020

Design and construction of a new detector to measure ultra-low radioactive-isotope contamination of argon

The DarkSide Collaboration, C. E. Aalseth, S. Abdelhakim +328

Large liquid argon detectors offer one of the best avenues for the detection of galactic weakly interacting massive particles (WIMPs) via their scattering on atomic nuclei. The liq…

econ.GN20193 cited

The survival of start-ups in time of crisis. A machine learning approach to measure innovation

Marco Guerzoni, Consuelo R. Nava, Massimiliano Nuccio

This paper shows how data science can contribute to improving empirical research in economics by leveraging on large datasets and extracting information otherwise unsuitable for a…