Zobrazeno 1 - 10
of 3 919
pro vyhledávání: '"Michelucci, A"'
Image similarity metrics play an important role in computer vision applications, as they are used in image processing, computer vision and machine learning. Furthermore, those metrics enable tasks such as image retrieval, object recognition and quali
Externí odkaz:
http://arxiv.org/abs/2410.01411
Autor:
Mason, Federico, Ferri, Lorenzo, Di Vito, Lidia, Alvisi, Lara, Zanuttini, Luca, Martinoni, Matteo, Mai, Roberto, Cardinale, Francesco, Tinuper, Paolo, Michelucci, Roberto, Pasini, Elena, Bisulli, Francesca
Stereoelectroencephalography (SEEG) is an invasive surgical procedure to record the electrical activities in cortical brain regions, aiming at identifying the Epileptogenic Zone (EZ) in patients with drug-resistant epilepsy. To improve the accuracy o
Externí odkaz:
http://arxiv.org/abs/2408.16347
Fluorescence spectroscopy is a fundamental tool in life sciences and chemistry, widely used for applications such as environmental monitoring, food quality control, and biomedical diagnostics. However, analysis of spectroscopic data with deep learnin
Externí odkaz:
http://arxiv.org/abs/2406.10031
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
Publikováno v:
Sensors 2024
In the realm of computer vision, the integration of advanced techniques into the processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities arising from diverse environmental conditions and varying object appeara
Externí odkaz:
http://arxiv.org/abs/2403.00175
Satellites equipped with optical sensors capture high-resolution imagery, providing valuable insights into various environmental phenomena. In recent years, there has been a surge of research focused on addressing some challenges in remote sensing, r
Externí odkaz:
http://arxiv.org/abs/2402.13918
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, Fluri, Silvan, Mejari, Manas, Baumgartner, Michael, Piga, Dario, Michelucci, Umberto
This work systematically investigates the oxidation of extra virgin olive oil (EVOO) under accelerated storage conditions with UV absorption and total fluorescence spectroscopy. With the large amount of data collected, it proposes a method to monitor
Externí odkaz:
http://arxiv.org/abs/2309.12377
Autor:
Monga, Olivier, Belghali, Zakaria, Klai, Mouad, Druoton, Lucie, Michelucci, Dominique, Pot, Valerie
Recent advances in 3D X-ray Computed Tomographic (CT) sensors have stimulated research efforts to unveil the extremely complex micro-scale processes that control the activity of soil microorganisms. Voxel-based description (up to hundreds millions vo
Externí odkaz:
http://arxiv.org/abs/2309.01611