Zobrazeno 1 - 10
of 10 127
pro vyhledávání: '"A. Gherardi"'
Autor:
A. P. Villani, N. Quiles Tsimaratos, A. Crochard, A. Gherardi, A. Panes, A. Schmidt, M. Hueber Kollen, I. Borget
Publikováno v:
Journal of Market Access & Health Policy, Vol 11, Iss 1 (2023)
ABSTRACTBackground: Data on the therapeutic management and healthcare cost of moderate to severe psoriasis in France are scarce.Objective: To assess the therapeutic management and economic burden of patients with moderate to severe psoriasis.Setting:
Externí odkaz:
https://doaj.org/article/b6a38eecd2524c6daba736f3b44dd21d
Quantum annealers can be used to solve many (possibly NP-hard) combinatorial optimization problems, by formulating them as quadratic unconstrained binary optimization (QUBO) problems or, equivalently, using the Ising formulation. In this paper we ana
Externí odkaz:
http://arxiv.org/abs/2406.07587
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
Authorship Verification (AV) is the process of analyzing a set of documents to determine whether they were written by a specific author. This problem often arises in forensic scenarios, e.g., in cases where the documents in question constitute eviden
Externí odkaz:
http://arxiv.org/abs/2403.08462
Empirical data, on which deep learning relies, has substantial internal structure, yet prevailing theories often disregard this aspect. Recent research has led to the definition of structured data ensembles, aimed at equipping established theoretical
Externí odkaz:
http://arxiv.org/abs/2311.06105
Despite all recent progress, it is still challenging to edit and manipulate natural images with modern generative models. When using Generative Adversarial Network (GAN), one major hurdle is in the inversion process mapping a real image to its corres
Externí odkaz:
http://arxiv.org/abs/2309.04907
Neural radiance fields (NeRF) have garnered significant attention, with recent works such as Instant-NGP accelerating NeRF training and evaluation through a combination of hashgrid-based positional encoding and neural networks. However, effectively l
Externí odkaz:
http://arxiv.org/abs/2308.10122
Autor:
Stacy A. Gherardi, Allison Stoner
Publikováno v:
Discover Education, Vol 3, Iss 1, Pp 1-14 (2024)
Abstract The adoption of trauma-informed practices in schools is a significant and growing area of school reform efforts. It has been assumed that professional development aimed at influencing teacher attitudes toward trauma-informed care in schools
Externí odkaz:
https://doaj.org/article/f395109f53f04fcfa637f92397c5be74
Autor:
Ciceri, Simone, Cassani, Lorenzo, Osella, Matteo, Rotondo, Pietro, Valle, Filippo, Gherardi, Marco
Publikováno v:
Nature Machine Intelligence, vol 6, 40-47 (2024)
To achieve near-zero training error in a classification problem, the layers of a feed-forward network have to disentangle the manifolds of data points with different labels, to facilitate the discrimination. However, excessive class separation can br
Externí odkaz:
http://arxiv.org/abs/2303.05161
Autor:
Juliana Rizzo Gnatta, Thiago da Silva Domingos, Edilaine Cristina da Silva Gherardi-Donato, Suzimar de Fátima Benato Fusco, Leonice Fumiko Sato Kurebayashi, Talita Pavarini Borges
Publikováno v:
Revista Latino-Americana de Enfermagem, Vol 32 (2024)
Objective: to analyze the sociodemographic and training profile of nursing professionals in the state of São Paulo in relation to Integrative and Complementary Practices in Health. Method: cross-sectional study, developed with 3,794 nursing professi
Externí odkaz:
https://doaj.org/article/b7d3660b738e4e28b8b6a00b1ed1ba50