Zobrazeno 1 - 10
of 4 133
pro vyhledávání: '"A. Ingrosso"'
Transfer learning (TL) is a well-established machine learning technique to boost the generalization performance on a specific (target) task using information gained from a related (source) task, and it crucially depends on the ability of a network to
Externí odkaz:
http://arxiv.org/abs/2407.07168
Deep linear networks have been extensively studied, as they provide simplified models of deep learning. However, little is known in the case of finite-width architectures with multiple outputs and convolutional layers. In this manuscript, we provide
Externí odkaz:
http://arxiv.org/abs/2406.03260
Environmental concerns are driving the search for greener yet efficient solvents. Supercritical CO2 (scCO2) is a promising candidate due to its non-toxicity and the potential for reusing CO2 emissions. It also offers a versatile range of properties t
Externí odkaz:
http://arxiv.org/abs/2310.14667
The cost of information processing in physical systems calls for a trade-off between performance and energetic expenditure. Here we formulate and study a computation-dissipation bottleneck in mesoscopic systems used as input-output devices. Using bot
Externí odkaz:
http://arxiv.org/abs/2307.02379
Publikováno v:
ICML 2023
The ability of deep neural networks to generalise well even when they interpolate their training data has been explained using various "simplicity biases". These theories postulate that neural networks avoid overfitting by first learning simple funct
Externí odkaz:
http://arxiv.org/abs/2211.11567
Autor:
Andrea Lancia, Gianluca Ingrosso, Beatrice Detti, Eleonora Festa, Elisabetta Bonzano, Flavia Linguanti, Federico Camilli, Niccolò Bertini, Salvatore La Mattina, Carolina Orsatti, Giulio Francolini, Elisabetta Maria Abenavoli, Lorenzo Livi, Cynthia Aristei, Dorine de Jong, Karine A. Al Feghali, Shankar Siva, Carlotta Becherini
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
The therapeutic landscape of metastatic prostate cancer has undergone a profound revolution in recent years. In addition to the introduction of novel molecules in the clinics, the field has witnessed a tremendous development of functional imaging mod
Externí odkaz:
https://doaj.org/article/4601032046324b4ca2ee1ab20f0a5052
Autor:
Walter Leal Filho, Robert Stojanov, Christos Matsoukas, Roberto Ingrosso, James A. Franke, Francesco S.R. Pausata, Tommaso Grassi, Jaromír Landa, Cherif Harrouni
Publikováno v:
Ecological Indicators, Vol 166, Iss , Pp 112287- (2024)
Oases are vulnerable ecosystems that are affected by climate change. Using high-resolution climate models focusing on northern Africa, we investigate the changes in the agrosystems of oases. Projected air temperature changes under an extreme global w
Externí odkaz:
https://doaj.org/article/7ce1ad5668ec4e1d84c488c26d7adfae
Autor:
Maria De Luca, Adriano Acunzo, Daniele Marra, Margherita Borriello, Diego Ingrosso, Raffaele Velotta, Vincenzo Iannotti, Bartolomeo Della Ventura
Publikováno v:
Advanced Sensor Research, Vol 3, Iss 8, Pp n/a-n/a (2024)
Abstract Magneto‐plasmonic particles, comprising gold and iron oxide, exhibit substantial potential for biosensing applications due to their distinct properties. Gold nanoparticles (AuNPs) provide plasmonic features, while iron oxide composites, re
Externí odkaz:
https://doaj.org/article/9dca345d0daf49aea7d84349f22eaa21
Autor:
Roberto Carlucci, Giulia Cipriano, Daniela Cascione, Maurizio Ingrosso, Enrico Barbone, Nicola Ungaro, Pasquale Ricci
Publikováno v:
BMC Ecology and Evolution, Vol 24, Iss 1, Pp 1-19 (2024)
Abstract Macro-benthic communities on the shallowest soft bottoms are impacted by hydraulic dredgers used for the harvesting of the striped venus clam (Chamelea gallina). Changes in macro-benthic assemblages were analysed across four areas in the Sou
Externí odkaz:
https://doaj.org/article/4062ea059f554175b6865a9df94c600d
Autor:
Veronica Nisticò, Gianmarco Ingrosso, Francesco Lombardi, Elia Chiudinelli, Giulia Bianchini, Raffaella Faggioli, Angelo Bertani, Orsola Gambini, Benedetta Demartini
Publikováno v:
Eating and Weight Disorders, Vol 29, Iss 1, Pp 1-9 (2024)
Abstract Purpose The relationship between autistic traits and eating disturbances has been given considerable attention over the last decades. The rise of a dimensional approach to psychopathology has expanded the way we think about autism, acknowled
Externí odkaz:
https://doaj.org/article/e85f2158ab4744c0b5764cb1dbdcd803