Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Gucciardi, Arnaud"'
Self-rewarding have emerged recently as a powerful tool in the field of Natural Language Processing (NLP), allowing language models to generate high-quality relevant responses by providing their own rewards during training. This innovative technique
Externí odkaz:
http://arxiv.org/abs/2405.13473
Autor:
Ghazouali, Safouane El, Gucciardi, Arnaud, Venturini, Francesca, Venturi, Nicola, Rueegsegger, Michael, Michelucci, Umberto
Object detection in remotely sensed satellite pictures is fundamental in many fields such as biophysical, and environmental monitoring. While deep learning algorithms are constantly evolving, they have been mostly implemented and tested on popular gr
Externí odkaz:
http://arxiv.org/abs/2404.02877
Autor:
Gucciardi, Arnaud, Ghazouali, Safouane El, Venturini, Francesca, Groznik, Vida, Michelucci, Umberto
This paper presents an annotated dataset of brain MRI images designed to advance the field of brain symmetry study. Magnetic resonance imaging (MRI) has gained interest in analyzing brain symmetry in neonatal infants, and challenges remain due to the
Externí odkaz:
http://arxiv.org/abs/2401.11814
Autor:
Venturini, Francesca, Sperti, Michela, Michelucci, Umberto, Gucciardi, Arnaud, Martos, Vanessa M., Deriu, Marco A.
This dataset encompasses fluorescence spectra and chemical parameters of 24 olive oil samples from the 2019-2020 harvest provided by the producer Conde de Benalua, Granada, Spain. The oils are characterized by different qualities: 10 extra virgin oli
Externí odkaz:
http://arxiv.org/abs/2301.04471
Autor:
Venturini, Francesca, Sperti, Michela, Michelucci, Umberto, Gucciardi, Arnaud, Martose, Vanessa M., Deriu, Marco A.
The olive oil sector produces a substantial impact in the Mediterranean's economy and lifestyle. Many studies exist which try to optimize the different steps in the olive oil's production process. One of the main challenges for olive oil producers is
Externí odkaz:
http://arxiv.org/abs/2203.07229
Autor:
Venturini, Francesca, Sperti, Michela, Michelucci, Umberto, Gucciardi, Arnaud, Martos, Vanessa M., Deriu, Marco A.
Publikováno v:
In Journal of Food Engineering January 2023 336
Autor:
Ortega-Leon, Arantxa, Gucciardi, Arnaud, Segado-Arenas, Antonio, Benavente-Fernández, Isabel, Urda, Daniel, Turias, Ignacio J.
Publikováno v:
Stats; Sep2024, Vol. 7 Issue 3, p685-696, 12p
Autor:
Bocklitz, Thomas, Gucciardi, Arnaud, El Ghazouali, Safouane, Michelucci, Umberto, Venturini, Francesca
Publikováno v:
Proceedings of SPIE; June 2024, Vol. 13011 Issue: 1 p130110A-130110A-8, 1170999p
Autor:
Venturini, Francesca, Michelucci, Umberto, Sperti, Michela, Gucciardi, Arnaud, Deriu, Marco A.
Publikováno v:
AI and Optical Data Sciences IV.
AI and Optical Data Sciences IV; Paper 12438-50 The power of artificial neural networks to determine the quality and properties of olive oil was proven by several studies in the last years. Less clear is, however, how the neural network is able to ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0eb9bb85b0f9de9c7dd63eafbb508334
https://doi.org/10.1117/12.2647809
https://doi.org/10.1117/12.2647809
Autor:
Gucciardi Arnaud, Michelucci Umberto, Venturini Francesca, Sperti Michela, Deriu Marco Agostino
Olive oil is an important commodity in the world, and its demand has grown substantially in recent years. As of today, the determination of olive oil quality is based on both chemical analysis and organoleptic evaluation from specialized laboratories
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::66ecaed53260275fccfc2433e4a4f21e
https://zenodo.org/record/7616038
https://zenodo.org/record/7616038