Genetic Programming Bibliography entries for Daniele Dell'Aquila

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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

1. 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. details

2. 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. details

3. 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. details

4. 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. details

5. 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. details

6. D. Dell'Aquila and M. Russo. Automatic classification of nuclear physics data via a Constrained Evolutionary Clustering approach. Computer Physics Communications, 259:107667, 2021. details

7. 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. details

8. 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. details