Martina Saletta

According to our database, Martina Saletta authored at least 17 papers between 2019 and 2026.

Collaborative distances:

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

2026

Local search, semantics, and genetic programming: a global analysis.

Fabio Anselmi, Mauro Castelli, Alberto d'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta

Soft Comput., March, 2026

A Pipeline for Automated Phenotype Extraction from Medical Reports Using Large Language Models.

Andrea Bombarda, Martina Saletta, Matteo Bellini, Lucrezia Goisis, Maria Iascone, Paolo Cazzaniga, Domenico Fabio Savo

Proceedings of the 19th International Joint Conference on Biomedical Engineering Systems and Technologies, 2026

2025

Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code.

Michele Carissimi, Martina Saletta, Claudio Ferretti

Proceedings of the 29th International Conference on Evaluation and Assessment in Software Engineering, 2025

Automated Phenotype-Based Clustering of Clinical Reports Using Large Language Models.

Martina Saletta, Andrea Bombarda, Matteo Bellini, Lucrezia Goisis, Paolo Cazzaniga, Maria Iascone, Domenico Fabio Savo

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

Exploring the Prompt Space of Large Language Models through Evolutionary Sampling.

Martina Saletta, Claudio Ferretti

Proceedings of the Genetic and Evolutionary Computation Conference, 2024

2023

Exploring Neural Dynamics in Source Code Processing Domain.

Martina Saletta, Claudio Ferretti

Inf., April, 2023

Evolutionary Approaches for Adversarial Attacks on Neural Source Code Classifiers.

Valeria Mercuri, Martina Saletta, Claudio Ferretti

Algorithms, 2023

Naturalness in Source Code Summarization. How Significant is it?

Claudio Ferretti, Martina Saletta

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

2022

Heuristic search of (semi-)bent functions based on cellular automata.

Luca Mariot, Martina Saletta, Alberto Leporati, Luca Manzoni

Nat. Comput., 2022

Do Neural Transformers Learn Human-Defined Concepts? An Extensive Study in Source Code Processing Domain.

Claudio Ferretti, Martina Saletta

Algorithms, 2022

Towards the evolutionary assessment of neural transformers trained on source code.

Martina Saletta, Claudio Ferretti

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

A Grammar-based Evolutionary Approach for Assessing Deep Neural Source Code Classifiers.

Martina Saletta, Claudio Ferretti

Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021

Mining Program Properties From Neural Networks Trained on Source Code Embeddings.

Martina Saletta, Claudio Ferretti

CoRR, 2021

Deceiving neural source code classifiers: finding adversarial examples with grammatical evolution.

Claudio Ferretti, Martina Saletta

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

2020

A Neural Embedding for Source Code: Security Analysis and CWE Lists.

Martina Saletta, Claudio Ferretti

Proceedings of the IEEE Intl Conf on Dependable, 2020

Exploring Semi-bent Boolean Functions Arising from Cellular Automata.

Luca Mariot, Martina Saletta, Alberto Leporati, Luca Manzoni

Proceedings of the Cellular Automata, 2020

2019

Extending Local Search in Geometric Semantic Genetic Programming.

Mauro Castelli, Luca Manzoni, Luca Mariot, Martina Saletta

Proceedings of the Progress in Artificial Intelligence, 2019