Daniele M. Papetti

According to our database, Daniele M. Papetti authored at least 12 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., May, 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, Peter Kellman, Luigi P. Badano, Daniela Besozzi, Marco S. Nobile, Camilla Torlasco

Comput. Methods Programs Biomed., February, 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., February, 2023

Estimation of Fuzzy Models from Mixed Data Sets with pyFUME.

Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

Evolving Dilation Functions for Parameter Estimation.

Daniele M. Papetti, Vasco Coelho

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

The Domination Game: Dilating Bubbles to Fill Up Pareto Fronts.

Vasco Coelho, Daniele M. Papetti, Andrea Tangherloni, Paolo Cazzaniga, Daniela Besozzi, Marco S. Nobile

Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022

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

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2022

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

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2021

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

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

On the automatic calibration of fully analogical spiking neuromorphic chips.

Daniele M. Papetti, Simone Spolaor, Daniela Besozzi, Paolo Cazzaniga, Marco Antoniotti, Marco S. Nobile

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

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

Proceedings of the IEEE Congress on Evolutionary Computation, 2020