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Stefano Ruberto
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Journal Articles
- 2021
- [j4]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
A semantic genetic programming framework based on dynamic targets. Genet. Program. Evolvable Mach. 22(4): 463-493 (2021) - 2020
- [j3]Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore:
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses. BMC Bioinform. 21(1): 430 (2020) - [j2]Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni:
Computational Intelligence for Life Sciences. Fundam. Informaticae 171(1-4): 57-80 (2020) - 2019
- [j1]Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli:
Genetic programming with semantic equivalence classes. Swarm Evol. Comput. 44: 453-469 (2019)
Conference and Workshop Papers
- 2021
- [c10]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
Towards effective GP multi-class classification based on dynamic targets. GECCO 2021: 812-821 - 2020
- [c9]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. EuroGP 2020: 167-183 - [c8]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. GECCO Companion 2020: 25-26 - [c7]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
Image feature learning with a genetic programming autoencoder. GECCO Companion 2020: 245-246 - [c6]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
Image Feature Learning with Genetic Programming. PPSN (2) 2020: 63-78 - 2018
- [c5]Gian Luca Scoccia, Stefano Ruberto, Ivano Malavolta, Marco Autili, Paola Inverardi:
An investigation into Android run-time permissions from the end users' perspective. MOBILESoft@ICSE 2018: 45-55 - 2015
- [c4]Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni:
Hybrid Mobile Apps in the Google Play Store: An Exploratory Investigation. MOBILESoft 2015: 56-59 - [c3]Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni:
End Users' Perception of Hybrid Mobile Apps in the Google Play Store. IEEE MS 2015: 25-32 - 2014
- [c2]Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva:
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. EuroGP 2014: 150-161 - [c1]Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto:
How to Exploit Alignment in the Error Space: Two Different GP Models. GPTP 2014: 133-148
Data and Artifacts
- 2020
- [d1]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
Dataset to replicate experiments in "Image Feature Learning with Genetic Programming" paper. Zenodo, 2020
Informal and Other Publications
- 2024
- [i4]Steven Cho, Seaton Cousins-Baxter, Stefano Ruberto, Valerio Terragni:
Automated Trustworthiness Testing for Machine Learning Classifiers. CoRR abs/2406.05251 (2024) - [i3]Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti:
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers. CoRR abs/2410.22663 (2024) - 2020
- [i2]Stefano Ruberto, Valerio Terragni, Jason H. Moore:
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. CoRR abs/2001.11535 (2020) - 2018
- [i1]Tommaso Soru, Stefano Ruberto, Diego Moussallem, Edgard Marx, Diego Esteves, Axel-Cyrille Ngonga Ngomo:
Expeditious Generation of Knowledge Graph Embeddings. CoRR abs/1803.07828 (2018)
Coauthor Index
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