An Integration-Based Approach to Pattern Clustering and Classification. - Laura Sani; Gianluca D'Addese; Riccardo Pecori; Monica Mordonini; Marco Villani 001; Stefano Cagnoni (AI*IA, 2018)

The Detection of Dynamical Organization in Cancer Evolution Models. - Laura Sani; Gianluca D'Addese; Alex Graudenzi; Marco Villani 001 (WIVACE, 2019)

Exploring the Dynamic Organization of Random and Evolved Boolean Networks. - Gianluca D'Addese; Salvatore Magrì; Roberto Serra; Marco Villani 001 (Algorithms, 2020)

Dynamical Criticality in Growing Networks. - Giovanni Cappelletti; Gianluca D'Addese; Roberto Serra; Marco Villani 001 (WIVACE, 2021)

Two-Level Detection of Dynamic Organization in Cancer Evolution Models. - Gianluca D'Addese; Alex Graudenzi; Luca La Rocca; Marco Villani 001 (WIVACE, 2021)

Asymptotic Information-Theoretic Detection of Dynamical Organization in Complex Systems. - Gianluca D'Addese; Laura Sani; Luca La Rocca; Roberto Serra; Marco Villani 001 (Entropy, 2021)

Attractor-Specific and Common Expression Values in Random Boolean Network Models (with a Preliminary Look at Single-Cell Data). - Marco Villani 001; Gianluca D'Addese; Stuart A. Kauffman; Roberto Serra (Entropy, 2022)

Binary Classification of Agricultural Crops Using Sentinel Satellite Data and Machine Learning Techniques. - Paolo Bertellini; Gianluca D'Addese; Giorgia Franchini; Simone Parisi; Carmelo Scribano; Daniele Zanirato; Marko Bertogna (FedCSIS, 2023)

On the Detection of Significant Pairwise Interactions in Complex Systems. - Giada Fini; Gianluca D'Addese; Luca La Rocca; Marco Villani 001 (WIVACE, 2023)