ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. - Stefano Ruberto; Leonardo Vanneschi; Mauro Castelli; Sara Silva (EuroGP, 2014)

How to Exploit Alignment in the Error Space: Two Different GP Models. - Mauro Castelli; Leonardo Vanneschi; Sara Silva; Stefano Ruberto (GPTP, 2014)

Hybrid Mobile Apps in the Google Play Store: An Exploratory Investigation. - Ivano Malavolta; Stefano Ruberto; Tommaso Soru; Valerio Terragni (MOBILESoft, 2015)

End Users' Perception of Hybrid Mobile Apps in the Google Play Store. - Ivano Malavolta; Stefano Ruberto; Tommaso Soru; Valerio Terragni (IEEE MS, 2015)

An investigation into Android run-time permissions from the end users' perspective. - Gian Luca Scoccia; Stefano Ruberto; Ivano Malavolta; Marco Autili; Paola Inverardi (MOBILESoft@ICSE, 2018)

Expeditious Generation of Knowledge Graph Embeddings. - Tommaso Soru; Stefano Ruberto; Diego Moussallem; Edgard Marx; Diego Esteves; Axel-Cyrille Ngonga Ngomo (CoRR, 2018)

Genetic programming with semantic equivalence classes. - Stefano Ruberto; Leonardo Vanneschi; Mauro Castelli (Swarm Evol. Comput., 2019)

SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (EuroGP, 2020)

SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (GECCO Companion, 2020)

Image feature learning with a genetic programming autoencoder. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (GECCO Companion, 2020)

Image Feature Learning with Genetic Programming. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (PPSN (2), 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)

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)

Dataset to replicate experiments in "Image Feature Learning with Genetic Programming" paper. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (Zenodo, 2020)

Towards effective GP multi-class classification based on dynamic targets. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (GECCO, 2021)

A semantic genetic programming framework based on dynamic targets. - Stefano Ruberto; Valerio Terragni; Jason H. Moore (Genet. Program. Evolvable Mach., 2021)

Automated Trustworthiness Testing for Machine Learning Classifiers. - Steven Cho; Seaton Cousins-Baxter; Stefano Ruberto; Valerio Terragni (CoRR, 2024)

From Implemented to Expected Behaviors: Leveraging Regression Oracles for Non-regression Fault Detection using LLMs. - Stefano Ruberto; Judith Perera; Gunel Jahangirova; Valerio Terragni (ICSTW, 2025)

Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers. - Lam Nguyen Tung; Steven Cho; Xiaoning Du 001; Neelofar; Valerio Terragni; Stefano Ruberto; Aldeida Aleti (Proc. ACM Softw. Eng., 2025)