Zobrazeno 1 - 10
of 11 870
pro vyhledávání: '"A, Marzi"'
In recent years, semi-supervised learning (SSL) has gained significant attention due to its ability to leverage both labeled and unlabeled data to improve model performance, especially when labeled data is scarce. However, most current SSL methods re
Externí odkaz:
http://arxiv.org/abs/2405.01760
In this paper, we present a novel approach termed Prompt-Driven Feature Diffusion (PDFD) within a semi-supervised learning framework for Open World Semi-Supervised Learning (OW-SSL). At its core, PDFD deploys an efficient feature-level diffusion mode
Externí odkaz:
http://arxiv.org/abs/2404.11795
Due to the availability of only a few labeled instances for the novel target prediction task and the significant domain shift between the well annotated source domain and the target domain, cross-domain few-shot learning (CDFSL) induces a very challe
Externí odkaz:
http://arxiv.org/abs/2312.03928
Autor:
Paige Fletcher, Kyle L. O’Donnell, Joseph F. Rhoderick, Corey W. Henderson, Atsushi Okumura, Trenton Bushmaker, Ayato Takada, Chad S. Clancy, Gábor Kemenesi, Andrea Marzi
Publikováno v:
Emerging Infectious Diseases, Vol 30, Iss 12, Pp 2639-2642 (2024)
The first isolate of the emerging filovirus Lloviu virus (LLOV) was obtained in 2022. No animal disease models have been established. We assessed the pathogenic potential of LLOV in ferrets after intranasal, intramuscular, or aerosol exposure. The la
Externí odkaz:
https://doaj.org/article/ca0d073039ea46ca99e0cd7f8b51be74
Autor:
d'Aloisio, Giordano, D'Angelo, Andrea, Marzi, Francesca, Di Marco, Diana, Stilo, Giovanni, Di Marco, Antinisca
Gender bias in education gained considerable relevance in the literature over the years. However, while the problem of gender bias in education has been widely addressed from a student perspective, it is still not fully analysed from an academic poin
Externí odkaz:
http://arxiv.org/abs/2309.11239
The problem of predicting the training time of machine learning (ML) models has become extremely relevant in the scientific community. Being able to predict a priori the training time of an ML model would enable the automatic selection of the best mo
Externí odkaz:
http://arxiv.org/abs/2309.11226
Cross-domain few-shot classification induces a much more challenging problem than its in-domain counterpart due to the existence of domain shifts between the training and test tasks. In this paper, we develop a novel Adaptive Parametric Prototype Lea
Externí odkaz:
http://arxiv.org/abs/2309.01342
Autor:
Epifanio, Chiara, Forlizzi, Luca, Marzi, Francesca, Mignosi, Filippo, Placidi, Giuseppe, Spezialetti, Matteo
In this paper we consider the weighted $k$-Hamming and $k$-Edit distances, that are natural generalizations of the classical Hamming and Edit distances. As main results of this paper we prove that for any $k\geq 2$ the DECIS-$k$-Hamming problem is $\
Externí odkaz:
http://arxiv.org/abs/2306.09144
Autor:
Giacomo Sermonesi, Riccardo Bertelli, Fredric M. Pieracci, Zsolt J. Balogh, Raul Coimbra, Joseph M. Galante, Andreas Hecker, Dieter Weber, Zachary M. Bauman, Susan Kartiko, Bhavik Patel, SarahAnn S. Whitbeck, Thomas W. White, Kevin N. Harrell, Daniele Perrina, Alessia Rampini, Brian Tian, Francesco Amico, Solomon G. Beka, Luigi Bonavina, Marco Ceresoli, Lorenzo Cobianchi, Federico Coccolini, Yunfeng Cui, Francesca Dal Mas, Belinda De Simone, Isidoro Di Carlo, Salomone Di Saverio, Agron Dogjani, Andreas Fette, Gustavo P. Fraga, Carlos Augusto Gomes, Jim S. Khan, Andrew W. Kirkpatrick, Vitor F. Kruger, Ari Leppäniemi, Andrey Litvin, Andrea Mingoli, David Costa Navarro, Eliseo Passera, Michele Pisano, Mauro Podda, Emanuele Russo, Boris Sakakushev, Domenico Santonastaso, Massimo Sartelli, Vishal G. Shelat, Edward Tan, Imtiaz Wani, Fikri M. Abu-Zidan, Walter L. Biffl, Ian Civil, Rifat Latifi, Ingo Marzi, Edoardo Picetti, Manos Pikoulis, Vanni Agnoletti, Francesca Bravi, Carlo Vallicelli, Luca Ansaloni, Ernest E. Moore, Fausto Catena
Publikováno v:
World Journal of Emergency Surgery, Vol 19, Iss 1, Pp 1-35 (2024)
Abstract Background Rib fractures are one of the most common traumatic injuries and may result in significant morbidity and mortality. Despite growing evidence, technological advances and increasing acceptance, surgical stabilization of rib fractures
Externí odkaz:
https://doaj.org/article/ab27c29fa0fe454cb5512281972ddd3d
Autor:
Andrea Marzi, Heinz Feldmann
Publikováno v:
npj Vaccines, Vol 9, Iss 1, Pp 1-7 (2024)
Abstract Nowadays, filovirus vaccine development may be seen as a paradigm for our response capabilities to emerging and re-emerging infectious diseases. Specifically, the West African Ebola virus disease (EVD) epidemic accelerated countermeasure lic
Externí odkaz:
https://doaj.org/article/e6da47e51d8c46dd8d2cd1de276954f1