Stefano Ruberto

26 papers A* 1A 3B 2Journal 12Unranked 8
YearRankTypeTitle / Venue / Authors
2026 J jnl
LLMLOOP: Improving LLM-Generated Code and Tests through Automated Iterative Feedback Loops.
CoRR
Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, Valerio Terragni
2026 J jnl
LLMORPH: Automated Metamorphic Testing of Large Language Models.
CoRR
Steven Cho, Stefano Ruberto, Valerio Terragni
2025 J jnl
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers.
Proc. ACM Softw. Eng.
Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti
2025 — conf
From Implemented to Expected Behaviors: Leveraging Regression Oracles for Non-regression Fault Detection using LLMs.
ICSTW
Stefano Ruberto, Judith Perera, Gunel Jahangirova, Valerio Terragni
2025 A conf
LLMLOOP: Improving LLM-Generated Code and Tests Through Automated Iterative Feedback Loops.
ICSME
Ravin Ravi, Dylan Bradshaw, Stefano Ruberto, Gunel Jahangirova, Valerio Terragni
2025 A* conf
LLMorph: Automated Metamorphic Testing of Large Language Models.
ASE
Steven Cho, Stefano Ruberto, Valerio Terragni
2025 A conf
Metamorphic Testing of Large Language Models for Natural Language Processing.
ICSME
Steven Cho, Stefano Ruberto, Valerio Terragni
2025 J jnl
Metamorphic Testing of Large Language Models for Natural Language Processing.
CoRR
Steven Cho, Stefano Ruberto, Valerio Terragni
2024 J jnl
Automated Trustworthiness Oracle Generation for Machine Learning Text Classifiers.
CoRR
Lam Nguyen Tung, Steven Cho, Xiaoning Du, Neelofar, Valerio Terragni, Stefano Ruberto, Aldeida Aleti
2024 J jnl
Automated Trustworthiness Testing for Machine Learning Classifiers.
CoRR
Steven Cho, Seaton Cousins-Baxter, Stefano Ruberto, Valerio Terragni
2021 J jnl
A semantic genetic programming framework based on dynamic targets.
Genet. Program. Evolvable Mach.
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2021 A conf
Towards effective GP multi-class classification based on dynamic targets.
GECCO
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020 J jnl
Computational Intelligence for Life Sciences.
Fundam. Informaticae
Daniela Besozzi, Luca Manzoni, Marco S. Nobile, Simone Spolaor, Mauro Castelli, Leonardo Vanneschi, Paolo Cazzaniga, Stefano Ruberto, Leonardo Rundo, Andrea Tangherloni
2020 J jnl
Embedding covariate adjustments in tree-based automated machine learning for biomedical big data analyses.
BMC Bioinform.
Elisabetta Manduchi, Weixuan Fu, Joseph D. Romano, Stefano Ruberto, Jason H. Moore
2020 — conf
Image Feature Learning with Genetic Programming.
PPSN (2)
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020 — conf
Image feature learning with a genetic programming autoencoder.
GECCO Companion
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020 B conf
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets.
EuroGP
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020 J jnl
SGP-DT: Semantic Genetic Programming Based on Dynamic Targets.
CoRR
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2020 — conf
SGP-DT: towards effective symbolic regression with a semantic GP approach based on dynamic targets.
GECCO Companion
Stefano Ruberto, Valerio Terragni, Jason H. Moore
2019 J jnl
Genetic programming with semantic equivalence classes.
Swarm Evol. Comput.
Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli
2018 — conf
An investigation into Android run-time permissions from the end users' perspective.
MOBILESoft@ICSE
Gian Luca Scoccia, Stefano Ruberto, Ivano Malavolta, Marco Autili, Paola Inverardi
2018 J jnl
Expeditious Generation of Knowledge Graph Embeddings.
CoRR
Tommaso Soru, Stefano Ruberto, Diego Moussallem, Edgard Marx, Diego Esteves, Axel-Cyrille Ngonga Ngomo
2015 — conf
End Users' Perception of Hybrid Mobile Apps in the Google Play Store.
IEEE MS
Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni
2015 — conf
Hybrid Mobile Apps in the Google Play Store: An Exploratory Investigation.
MOBILESoft
Ivano Malavolta, Stefano Ruberto, Tommaso Soru, Valerio Terragni
2014 B conf
ESAGP - A Semantic GP Framework Based on Alignment in the Error Space.
EuroGP
Stefano Ruberto, Leonardo Vanneschi, Mauro Castelli, Sara Silva
2014 — conf
How to Exploit Alignment in the Error Space: Two Different GP Models.
GPTP
Mauro Castelli, Leonardo Vanneschi, Sara Silva, Stefano Ruberto