- author = "Emanuele Nardone and Leonardo Vanneschi and Francesco Fontanella and Tiziana D'Alessandro",
- title = "Towards Interpretable {Alzheimer's} Disease Detection: Comparing Genetic Programming Paradigms on Handwriting Data",
- booktitle = "BIO-inspired Methods for Pattern Recognition (BIOMAP 2026)",
- year = "2026",
- editor = "Francesco Fontanella and Emanuele Nardone and Leonardo Vanneschi",
- pages = "id 187",
- address = "Lyon, France",
- month = aug # " 22",
- keywords = "genetic algorithms, genetic programming, Alzheimer disease, Handwriting analysis, Symbolic regression, Interpretable machine learning, XAI",
-
URL = "
https://icpr2026orgteam.github.io/WSpapers/pdfs/paper_0187.pdf",
- size = "15 pages",
- abstract = "...DARWIN benchmark (174 participants, 25 handwriting tasks): standard tree-based Genetic Programming (GP), Geometric Semantic Genetic Programming (GSGP), and six variants of the Semantic Learning algorithm based on Inflate and deflate Mutation (SLIM)...",
-
notes = "https://narden91.github.io/biomap/
https://icpr2026.org/wsPapers.html 28th International Conference on Pattern Recognition",
