| 2025 | ICST | From Implemented to Expected Behaviors: Leveraging Regression Oracles for Non-regression Fault Detection using LLMs. | Stefano Ruberto, Judith Perera, Gunel Jahangirova, Valerio Terragni |
| 2021 | GECCO | Towards effective GP multi-class classification based on dynamic targets. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | EUROGP | SGP-DT: Semantic Genetic Programming Based on Dynamic Targets. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | GECCO | SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | GECCO | Image feature learning with a genetic programming autoencoder. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2020 | PPSN | Image Feature Learning with Genetic Programming. | Stefano Ruberto, Valerio Terragni, Jason H. Moore |
| 2018 | ICSE | An investigation into Android run-time permissions from the end users' perspective. | Gian Luca Scoccia, Stefano Ruberto, Ivano Malavolta, Marco Autili, Paola Inverardi |
| 2015 | ICSE | Hybrid Mobile Apps in the Google Play Store: An Exploratory Investigation. | Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni |
| 2014 | EUROGP | ESAGP - A Semantic GP Framework Based on Alignment in the Error Space. | Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva |