120 citations · 144 across the 7 of their papers we have counts for
8 papers
Informed peer review for publication assessments: Are improved impact measures worth the hassle?
Giovanni Abramo, Ciriaco Andrea D'Angelo, Giovanni Felici
In this work we ask whether and to what extent applying a predictor of publications' impact better than early citations, has an effect on the assessment of research performance of…
Simultaneous Feature Selection and Outlier Detection with Optimality Guarantees
Luca Insolia, Ana Kenney, Francesca Chiaromonte +1
Sparse estimation methods capable of tolerating outliers have been broadly investigated in the last decade. We contribute to this research considering high-dimensional regression p…
Predicting long-term publication impact through a combination of early citations and journal impact factor
Giovanni Abramo, Ciriaco Andrea D'Angelo, Giovanni Felici
The ability to predict the long-term impact of a scientific article soon after its publication is of great value towards accurate assessment of research performance. In this work w…
MIP-BOOST: Efficient and Effective Feature Selection for Linear Regression
Ana Kenney, Francesca Chiaromonte, Giovanni Felici
Recent advances in mathematical programming have made Mixed Integer Optimization a competitive alternative to popular regularization methods for selecting features in regression pr…
Revisiting the use of Robust Optimization for optimal energy offering under price uncertainty
Fabio D'Andreagiovanni, Giovanni Felici, Fabrizio Lacalandra
We propose a new Robust Optimization method for the energy offering problem of a price-taker generating company that wants to build offering curves for its generation units, in ord…
A-priori Upper Bounds for the Set Covering Problem
Giovanni Felici, Sokol Ndreca, Aldo Procacci +1
In this paper we present a new bound obtained with the probabilistic method for the solution of the Set Covering problem with unit costs. The bound is valid for problems of fixed d…
Hacking Smart Machines with Smarter Ones: How to Extract Meaningful Data from Machine Learning Classifiers
Giuseppe Ateniese, Giovanni Felici, Luigi V. Mancini +3
Machine Learning (ML) algorithms are used to train computers to perform a variety of complex tasks and improve with experience. Computers learn how to recognize patterns, make unin…
The meaning of systematic errors, a comment to "Reply to On the Systematic Errors in the Detection of the Lense-Thirring Effect with a Mars Orbiter", by Lorenzo Iorio
G. Felici
This submission has been removed because 'G. Felici' is an apparent pseudonym, in violation of arXiv policies.