Stefano Ruberto

Orcid: 0000-0001-8666-2782

According to our database1, Stefano Ruberto authored at least 15 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
A semantic genetic programming framework based on dynamic targets.
Genet. Program. Evolvable Mach., 2021

Towards effective GP multi-class classification based on dynamic targets.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020
Computational Intelligence for Life Sciences.
Fundam. Informaticae, 2020

Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses.
BMC Bioinform., 2020

Image Feature Learning with Genetic Programming.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Image feature learning with a genetic programming autoencoder.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

SGP-DT: Semantic Genetic Programming Based on Dynamic Targets.
Proceedings of the Genetic Programming - 23rd European Conference, 2020

2019
Genetic programming with semantic equivalence classes.
Swarm Evol. Comput., 2019

2018
Expeditious Generation of Knowledge Graph Embeddings.
CoRR, 2018

An investigation into Android run-time permissions from the end users' perspective.
Proceedings of the 5th International Conference on Mobile Software Engineering and Systems, MOBILESoft@ICSE 2018, Gothenburg, Sweden, May 27, 2018

2015
End Users' Perception of Hybrid Mobile Apps in the Google Play Store.
Proceedings of the 2015 IEEE International Conference on Mobile Services, MS 2015, New York City, NY, USA, June 27, 2015

Hybrid Mobile Apps in the Google Play Store: An Exploratory Investigation.
Proceedings of the 2nd ACM International Conference on Mobile Software Engineering and Systems, 2015

2014
How to Exploit Alignment in the Error Space: Two Different GP Models.
Proceedings of the Genetic Programming Theory and Practice XII, 2014

ESAGP - A Semantic GP Framework Based on Alignment in the Error Space.
Proceedings of the Genetic Programming - 17th European Conference, 2014


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