Genetic Programming Bibliography entries for Daniele Dell'Aquila
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Created by W.Langdon from
gp-bibliography.bib Revision:1.7954
GP coauthors/coeditors:
Francesco Pio Barone,
Marco Russo,
Enrico Buccheri,
Giuseppe Campobello,
Antonino Segreto,
Brunilde Gnoffo,
Ivano Lombardo,
Francesco Porto,
Luigi Redigolo,
Genetic Programming Articles by Daniele Dell'Aquila
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Ivano Lombardo and Daniele Dell'Aquila and Brunilde Gnoffo and Luigi Redigolo and Francesco Porto and Marco Russo.
Universal Models for Heavy-Ion Fusion Cross Section Above-Barrier.
EPJ Web of Conferences, 290:Article Number: 02017, 2023.
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Daniele Dell'Aquila and Brunilde Gnoffo and Ivano Lombardo and Francesco Porto and Luigi Redigolo and Marco Russo.
Understanding Heavy-ion Fusion Cross Section Data Using Novel Artificial Intelligence Approaches.
Journal of Physics: Conference Series, 2619(1):012004, 2023.
44th Symposium on Nuclear Physics Cocoyoc.
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Francesco Pio Barone and Daniele Dell'Aquila and Marco Russo.
A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals.
Machine Learning: Science and Technology, 4(4):045054, 2023.
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Daniele Dell'Aquila and Brunilde Gnoffo and Ivano Lombardo and Francesco Porto and Marco Russo.
Modeling Heavy-Ion Fusion Cross Section Data via a Novel Artificial Intelligence Approach.
Journal of Physics G: Nuclear and Particle Physics, 50(1):015101, 2022.
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Enrico Buccheri and Daniele Dell'Aquila and Marco Russo.
Stratified analysis of the age-related waist circumference cut-off model for the screening of dysglycemia at zero-cost.
Obesity Medicine, 31:100398, 2022.
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D. Dell'Aquila and M. Russo.
Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach.
Computer Physics Communications, 259:107667, 2021.
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Enrico Buccheri and Daniele Dell'Aquila and Marco Russo.
Artificial intelligence in health data analysis: The Darwinian evolution theory suggests an extremely simple and zero-cost large-scale screening tool for prediabetes and type 2 diabetes.
Diabetes Research and Clinical Practice, 174:108722, 2021.
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Giuseppe Campobello and Daniele Dell'Aquila and Marco Russo and Antonino Segreto.
Neuro-genetic programming for multigenre classification of music content.
Applied Soft Computing, 94:106488, 2020.
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