Daniele M. Papetti

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 12

Top Topics

Sampling Methods

Fitness Landscape

Automated Segmentation

Global Optimization

Top Venues

IEEE Comput. Intell. Mag.

Comput. Methods Programs Biomed.

Publications

Daniele M. Papetti, Vasco Coelho
Evolving Dilation Functions for Parameter Estimation. CIBCB (2023)
Daniele M. Papetti, Andrea Tangherloni, Davide Farinati, Paolo Cazzaniga, Leonardo Vanneschi
Simplifying Fitness Landscapes Using Dilation Functions Evolved With Genetic Programming. IEEE Comput. Intell. Mag. 18 (1) (2023)
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
Barcode demultiplexing of nanopore sequencing raw signals by unsupervised machine learning. Frontiers Bioinform. 3 (2023)
Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts. CEC (2023)
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, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco
An accurate and time-efficient deep learning-based system for automated segmentation and reporting of cardiac magnetic resonance-detected ischemic scar. Comput. Methods Programs Biomed. 229 (2023)
Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. CIBCB (2023)
Daniele M. Papetti, Vasco Coelho, Daniel A. Ashlock, Paolo Cazzaniga, Simone Spolaor, Daniela Besozzi, Marco S. Nobile
Local Bubble Dilation Functions: Hypersphere-bounded Landscape Deformations Simplify Global Optimization. CIBCB (2022)
Daniele M. Papetti, Daniel A. Ashlock, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
If You Can't Beat It, Squash It: Simplify Global Optimization by Evolving Dilation Functions. CEC (2021)
Simone Spolaor, Daniele M. Papetti, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile
A comparison of multi-objective optimization algorithms to identify drug target combinations. CIBCB (2021)
Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile
On the automatic calibration of fully analogical spiking neuromorphic chips. IJCNN (2020)
Luca Manzoni, Daniele M. Papetti, Paolo Cazzaniga, Simone Spolaor, Giancarlo Mauri, Daniela Besozzi, Marco S. Nobile
Surfing on Fitness Landscapes: A Boost on Optimization by Fourier Surrogate Modeling. Entropy 22 (3) (2020)
Marco S. Nobile, Simone Spolaor, Paolo Cazzaniga, Daniele M. Papetti, Daniela Besozzi, Daniel A. Ashlock, Luca Manzoni
Which random is the best random? A study on sampling methods in Fourier surrogate modeling. CEC (2020)