Zobrazeno 1 - 10
of 2 242
pro vyhledávání: '"Farella A"'
Autor:
Barusco, Manuel, Borsatti, Francesco, Pezze, Davide Dalle, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio
Visual Anomaly Detection (VAD) has gained significant research attention for its ability to identify anomalous images and pinpoint the specific areas responsible for the anomaly. A key advantage of VAD is its unsupervised nature, which eliminates the
Externí odkaz:
http://arxiv.org/abs/2410.11591
Autor:
De Monte, Riccardo, Pezze, Davide Dalle, Ceccon, Marina, Pasti, Francesco, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio, Bellotto, Nicola
Object Detection is a highly relevant computer vision problem with many applications such as robotics and autonomous driving. Continual Learning~(CL) considers a setting where a model incrementally learns new information while retaining previously ac
Externí odkaz:
http://arxiv.org/abs/2409.05650
Autor:
Pasti, Francesco, Ceccon, Marina, Pezze, Davide Dalle, Paissan, Francesco, Farella, Elisabetta, Susto, Gian Antonio, Bellotto, Nicola
While numerous methods achieving remarkable performance exist in the Object Detection literature, addressing data distribution shifts remains challenging. Continual Learning (CL) offers solutions to this issue, enabling models to adapt to new data wh
Externí odkaz:
http://arxiv.org/abs/2409.01872
Contrastive Language-Audio Pretraining (CLAP) became of crucial importance in the field of audio and speech processing. Its employment ranges from sound event detection to text-to-audio generation. However, one of the main limitations is the consider
Externí odkaz:
http://arxiv.org/abs/2311.14517
Autor:
Angela Barillaro, Chiara Feoli, Adriano Tramontano, Marco Comerci, Mara Caroprese, Renato Cuocolo, Oscar Tamburis, Mario Petrazzuoli, Maria Anna D’Arienzo, Antonio Farella, Caterina Oliviero, Stefania Clemente, Laura Cella, Mario Magliulo, Manuel Conson, Roberto Pacelli
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The aim of this pilot study was to assess the compliance of breast cancer (BC) patients with fitness tracker (FT) monitoring program during radiotherapy (RT) and to characterize radiation-induced fatigue (RIF) status through objective evalua
Externí odkaz:
https://doaj.org/article/f3a7e3b6c5944b949bf1db7c97f34730
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-4-2024, Pp 287-294 (2024)
In many countries, recent boosts in the construction and renovation sectors and energy efficiency directives are driving a growing interest in the built environment among designers and maintainers. In this context, customized software solutions tailo
Externí odkaz:
https://doaj.org/article/07442984fad54ace87aa140fa59ccb2b
Knowing the properties of the single photons produced in a Spontaneous Parametric Down-Conversion (SPDC) source can be crucial for specific applications and uses. In particular, the spectral properties are of key relevance. Here, we investigate a com
Externí odkaz:
http://arxiv.org/abs/2307.06843
Autor:
Mirco Vacca, Mohamad Khalil, Antonio Rampino, Giuseppe Celano, Elisa Lanza, Giusy R. Caponio, Felice Ungaro, Alessandro Bertolino, Agostino Di Ciaula, Maria De Angelis, Piero Portincasa, Alessandro Annunziato, Maria Calasso, Graziana Difonzo, Ilaria Farella, Marcello Greco Miani, Valeria Perniola, Arianna Ressa, Nadia Serale
Publikováno v:
Journal of Functional Foods, Vol 123, Iss , Pp 106598- (2024)
Pasta, a Mediterranean diet staple, enhances well-being when enriched with healthy ingredients like durum wheat-germ (WG) and wheat-bran (WB). We studied the nutritional and clinical responses to four experimental pastas (EP1-EP4) made with de-oiled
Externí odkaz:
https://doaj.org/article/32c5e728cac54d65be74993abadc967e
Publikováno v:
GEOmedia, Vol 28, Iss 3 (2024)
For the most diverse practical purposes and communication needs (from trade to conquests or exploratory voyages), man has always represented space through the production of maps. There are countless varieties of themes, styles and graphic languages,
Externí odkaz:
https://doaj.org/article/d9c0c6b2349d4f0aa3df4b130c40ad57
Autor:
Bartlett, Mark S., Van Blitterswyk, Jared, Farella, Martha, Li, Jinshu, Smith, Curtis, Parolari, Anthony J., Krishnamoorthy, Lalitha, Mrad, Assaad
Rapid delineation of flash flood extents is critical to mobilize emergency resources and to manage evacuations, thereby saving lives and property. Machine learning (ML) approaches enable rapid flood delineation with reduced computational demand compa
Externí odkaz:
http://arxiv.org/abs/2211.00636