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Stefano Ruberto
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Hybrid mobile apps in the google play store: An exploratory investigation
I Malavolta, S Ruberto, T Soru, V Terragni
2015 2nd ACM international conference on mobile software engineering and …, 2015
862015
End users' perception of hybrid mobile apps in the google play store
I Malavolta, S Ruberto, T Soru, V Terragni
2015 IEEE International Conference on Mobile Services, 25-32, 2015
762015
An investigation into android run-time permissions from the end users’ perspective.
GL Scoccia, S Ruberto, I Malavolta, M Autili, P Inverardi
Proceedings of the Fifth ACM International Conference on Mobile Software …, 2018
362018
ESAGP–A semantic GP framework based on alignment in the error space
S Ruberto, L Vanneschi, M Castelli, S Silva
European Conference on Genetic Programming, 150-161, 2014
322014
Smart City L’Aquila: An Application of the “Infostructure” Approach to Public Urban Mobility in a Post-Disaster Context
E Falco, I Malavolta, A Radzimski, S Ruberto, L Iovino, F Gallo
Journal of Urban Technology 25 (1), 99-121, 2018
212018
SGP-DT: Semantic genetic programming based on dynamic targets
S Ruberto, V Terragni, JH Moore
European Conference on Genetic Programming (Part of EvoStar), 167-183, 2020
132020
How to exploit alignment in the error space: Two different GP models
M Castelli, L Vanneschi, S Silva, S Ruberto
Genetic Programming Theory and Practice XII, 133-148, 2015
112015
Genetic programming with semantic equivalence classes
S Ruberto, L Vanneschi, M Castelli
Swarm and evolutionary computation 44, 453-469, 2019
92019
Computational Intelligence for life sciences
D Besozzi, L Manzoni, MS Nobile, S Spolaor, M Castelli, L Vanneschi, ...
Fundamenta Informaticae 171 (1-4), 57-80, 2020
62020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
E Manduchi, W Fu, JD Romano, S Ruberto, JH Moore
BMC bioinformatics 21 (1), 1-13, 2020
52020
Image feature learning with a genetic programming autoencoder
S Ruberto, V Terragni, JH Moore
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
42020
Image feature learning with genetic programming
S Ruberto, V Terragni, JH Moore
International Conference on Parallel Problem Solving from Nature, 63-78, 2020
32020
SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets
S Ruberto, V Terragni, JH Moore
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
32020
Towards effective GP multi-class classification based on dynamic targets
S Ruberto, V Terragni, JH Moore
Proceedings of the Genetic and Evolutionary Computation Conference, 812–821, 2021
22021
Expeditious Generation of Knowledge Graph Embeddings
T Soru, S Ruberto, D Moussallem, A Valdestilhas, A Bigerl, E Marx, ...
arXiv preprint arXiv:1803.07828, 2018
12018
A semantic genetic programming framework based on dynamic targets
S Ruberto, V Terragni, JH Moore
Genetic Programming and Evolvable Machines 22 (4), 463-493, 2021
2021
4.3. ICTs and public transport in the dispersed city
F Gallo, L Iovino, E Falco, I Malavolta, A Radzimski, S Ruberto
ENVISAGING L’AQUILA, 115, 0
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Articles 1–17