Stefano Ruberto
Stefano Ruberto
Penn, University of Pennsylvania
Geverifieerd e-mailadres voor gssi.infn.it
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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
572015
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
572015
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
292014
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
172018
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
152018
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
102015
Genetic programming with semantic equivalence classes
S Ruberto, L Vanneschi, M Castelli
Swarm and evolutionary computation 44, 453-469, 2019
62019
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
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
12020
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
12020
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
12020
Image Feature Learning with Genetic Programming
S Ruberto, V Terragni, JH Moore
International Conference on Parallel Problem Solving from Nature, 63-78, 2020
2020
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses
E Manduchi, W Fu, JD Romano, S Ruberto, JH Moore
bioRxiv, 2020
2020
Expeditious Generation of Knowledge Graph Embeddings
T Soru, S Ruberto, D Moussallem, A Valdestilhas, A Bigerl, E Marx, ...
arXiv preprint arXiv:1803.07828, 2018
2018
4.3. ICTs and public transport in the dispersed city
F Gallo, L Iovino, E Falco, I Malavolta, A Radzimski, S Ruberto
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Artikelen 1–15