Stefano Ruberto

According to our database, Stefano Ruberto authored at least 18 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers.

Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti

CoRR, 2024

Automated Trustworthiness Testing for Machine Learning Classifiers.

Steven Cho, Seaton Cousins-Baxter, Stefano Ruberto, Valerio Terragni

CoRR, 2024

2021

A semantic genetic programming framework based on dynamic targets.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

Genet. Program. Evolvable Mach., 2021

Towards effective GP multi-class classification based on dynamic targets.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Dataset to replicate experiments in "Image Feature Learning with Genetic Programming" paper.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

Dataset, June, 2020

Computational Intelligence for Life Sciences.

Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni

Fundam. Informaticae, 2020

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

Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore

BMC Bioinform., 2020

Image Feature Learning with Genetic Programming.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

Proceedings of the Parallel Problem Solving from Nature - PPSN XVI, 2020

Image feature learning with a genetic programming autoencoder.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

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.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

SGP-DT: Semantic Genetic Programming Based on Dynamic Targets.

Stefano Ruberto, Valerio Terragni, Jason H. Moore

Proceedings of the Genetic Programming - 23rd European Conference, 2020

2019

Genetic programming with semantic equivalence classes.

Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli

Swarm Evol. Comput., 2019

2018

Expeditious Generation of Knowledge Graph Embeddings.

Tommaso Soru, Stefano Ruberto, Diego Moussallem, Edgard Marx, Diego Esteves, Axel-Cyrille Ngonga Ngomo

CoRR, 2018

An investigation into Android run-time permissions from the end users' perspective.

Gian Luca Scoccia, Stefano Ruberto, Ivano Malavolta, Marco Autili, Paola Inverardi

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.

Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni

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.

Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni

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.

Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto

Proceedings of the Genetic Programming Theory and Practice XII, 2014

ESAGP - A Semantic GP Framework Based on Alignment in the Error Space.

Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva

Proceedings of the Genetic Programming - 17th European Conference, 2014