Search Results for author: Martina Saletta

Found 3 papers, 0 papers with code

Local Search, Semantics, and Genetic Programming: a Global Analysis

no code implementations26 May 2023 Fabio Anselmi, Mauro Castelli, Alberto D'Onofrio, Luca Manzoni, Luca Mariot, Martina Saletta

In recent years, a new mutation operator, Geometric Semantic Mutation with Local Search (GSM-LS), has been proposed to include a local search step in the mutation process based on the idea that performing a linear regression during the mutation can allow for a faster convergence to good-quality solutions.

regression

Mining Program Properties From Neural Networks Trained on Source Code Embeddings

no code implementations9 Mar 2021 Martina Saletta, Claudio Ferretti

In this paper, we propose a novel approach for mining different program features by analysing the internal behaviour of a deep neural network trained on source code.

Binary Classification

Analysing Features Learned Using Unsupervised Models on Program Embeddings

no code implementations1 Jan 2021 Martina Saletta, Claudio Ferretti

In this paper, we propose a novel approach for analyzing and evaluating how a deep neural network is autonomously learning different features related to programs on different input representations.

Benchmarking Binary Classification

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