Which random is the best random? A study on sampling methods in Fourier surrogate modeling. - Marco S. Nobile; Simone Spolaor; Paolo Cazzaniga; Daniele M. Papetti; Daniela Besozzi; Daniel A. Ashlock; Luca Manzoni (CEC, 2020)

On the automatic calibration of fully analogical spiking neuromorphic chips. - Daniele M. Papetti; Simone Spolaor; Daniela Besozzi; Paolo Cazzaniga; Marco Antoniotti; Marco S. Nobile (IJCNN, 2020)

Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. - Luca Manzoni; Daniele M. Papetti; Paolo Cazzaniga; Simone Spolaor; Giancarlo Mauri; Daniela Besozzi; Marco S. Nobile (Entropy, 2020)

If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. - Daniele M. Papetti; Daniel A. Ashlock; Paolo Cazzaniga; Daniela Besozzi; Marco S. Nobile (CEC, 2021)

A comparison of multi-objective optimization algorithms to identify drug target combinations. - Simone Spolaor; Daniele M. Papetti; Paolo Cazzaniga; Daniela Besozzi; Marco S. Nobile (CIBCB, 2021)

Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. - Daniele M. Papetti; Vasco Coelho; Daniel A. Ashlock; Paolo Cazzaniga; Simone Spolaor; Daniela Besozzi; Marco S. Nobile (CIBCB, 2022)

The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. - Vasco Coelho; Daniele M. Papetti; Andrea Tangherloni; Paolo Cazzaniga; Daniela Besozzi; Marco S. Nobile (CEC, 2023)

Evolving Dilation Functions for Parameter Estimation. - Daniele M. Papetti; Vasco Coelho (CIBCB, 2023)

Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. - Daniele M. Papetti; Caro Fuchs; Vasco Coelho; Uzay Kaymak; Marco S. Nobile (CIBCB, 2023)

Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. - Daniele M. Papetti; Andrea Tangherloni; Davide Farinati; Paolo Cazzaniga; Leonardo Vanneschi (IEEE Comput. Intell. Mag., 2023)

An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. - Daniele M. Papetti; Kirsten van Abeelen; Rhodri H. Davies; Roberto Menè; Francesca Heilbron; Francesco P. Perelli; Jessica Artico; Andreas Seraphim; James C. Moon; Gianfranco Parati; Hui Xue 006; Peter Kellman; et al. (Comput. Methods Programs Biomed., 2023)

Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. - Daniele M. Papetti; Simone Spolaor; Iman Nazari; Andrea Tirelli; Tommaso Leonardi; Chiara Caprioli; Daniela Besozzi; Thalia Vlachou; Pier Giuseppe Pelicci; Paolo Cazzaniga; Marco S. Nobile (Frontiers Bioinform., 2023)

We Are Sending You Back... to the Optimum! Fuzzy Time Travel Particle Swarm Optimization. - Daniele M. Papetti; Andrea Tangherloni; Vasco Coelho; Daniela Besozzi; Paolo Cazzaniga; Marco S. Nobile (EvoApplications (2), 2025)