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Daniele M. Papetti

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Journal Articles

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2023
[j4]
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  - journals/cim/PapettiTFCV23
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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): 22-31 (2023)
[j3]
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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: 107321 (2023)
[j2]
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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)
2020
[j1]
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  - journals/entropy/ManzoniPCSMBN20
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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): 285 (2020)

Conference and Workshop Papers

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2023
[c8]
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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: 1-8
[c7]
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Daniele M. Papetti, Vasco Coelho:
Evolving Dilation Functions for Parameter Estimation. CIBCB 2023: 1-8
[c6]
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Daniele M. Papetti, Caro Fuchs, Vasco Coelho, Uzay Kaymak, Marco S. Nobile:
Estimation of Fuzzy Models from Mixed Data Sets with pyFUME. CIBCB 2023: 1-8
2022
[c5]
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  - conf/cibcb/PapettiCACSBN22
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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: 1-8
2021
[c4]
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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: 1414-1422
[c3]
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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: 1-8
2020
[c2]
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  - conf/cec/NobileSCPBAM20
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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: 1-8
[c1]
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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: 1-8

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