2 citations · 3 across the 5 of their papers we have counts for
5 papers
Self-Supervised ConvLSTM for Fermi Large Area Telescope Transient Detection
Alberto Garinei, Stefano Speziali, Alessandro Vispa +11
We present a framework for detecting transient gamma-ray phenomena in a controlled environment by combining end-to-end simulations of the Fermi-LAT sky with self-supervised spatio-…
Real-Time Oil Leakage Detection on Aftermarket Motorcycle Damping System with Convolutional Neural Networks
Federico Bianchi, Stefano Speziali, Andrea Marini +5
In this work, we describe in detail how Deep Learning and Computer Vision can help to detect fault events of the AirTender system, an aftermarket motorcycle damping system componen…
Solving Sensor Placement Problems In Real Water Distribution Networks Using Adiabatic Quantum Computation
Stefano Speziali, Federico Bianchi, Andrea Marini +6
Quantum annealing has emerged in the last few years as a promising quantum computing approach to solving large-scale combinatorial optimization problems. In this paper, we formulat…
Comparing Prophet and Deep Learning to ARIMA in Forecasting Wholesale Food Prices
Lorenzo Menculini, Andrea Marini, Massimiliano Proietti +4
Setting sale prices correctly is of great importance for firms, and the study and forecast of prices time series is therefore a relevant topic not only from a data science perspect…
R\&D evaluation methodology based on group-AHP with uncertainty
Alberto Garinei, Emanuele Piccioni, Massimiliano Proietti +25
In this paper, we present an approach to evaluate Research \& Development (R\&D) performance based on the Analytic Hierarchy Process (AHP) method. Through a set of questionnaires s…