Giacomo Boldini
PhD Student
Ca' Foscari University of Venice
SSV Research Group
Curricular Internship
University of Parma, Parma, Italy
2022-09 - 2023-03
Designed and implemented explainable machine learning methodologies in the context of source code similarity.
- Designed and implemented explainable machine learning methodologies in the context of source code similarity.
- Developed a graph representation based on Control‑flow Graph and LLVM‑IR generated by Clang, with subsequent feature generation through graph indexing tools.
- Performed similarity search using artificial intelligence techniques, including clustering and classification.
- Worked in a team of 4 and presented results at the 9th International Conference on Machine Learning, Optimization, and Data Science (LOD 2023).