Spremljaj
Stefano Ruberto
Naslov
Navedeno
Navedeno
Leto
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
1042015
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
952015
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
442018
ESAGP–A semantic GP framework based on alignment in the error space
S Ruberto, L Vanneschi, M Castelli, S Silva
Genetic Programming: 17th European Conference, EuroGP 2014, Granada, Spain …, 2014
352014
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
252018
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, 1-13, 2020
152020
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
142015
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
Genetic programming with semantic equivalence classes
S Ruberto, L Vanneschi, M Castelli
Swarm and evolutionary computation 44, 453-469, 2019
102019
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
82020
Image feature learning with genetic programming
S Ruberto, V Terragni, JH Moore
International Conference on Parallel Problem Solving from Nature, 63-78, 2020
72020
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
62021
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
62020
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
52021
Image feature learning with a genetic programming autoencoder
S Ruberto, V Terragni, JH Moore
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
52020
Expeditious generation of knowledge graph embeddings
T Soru, S Ruberto, D Moussallem, A Valdestilhas, A Bigerl, E Marx, ...
arXiv preprint arXiv:1803.07828, 2018
22018
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. Strategies, spatialities and sociabilities of a …, 2018
2018
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