Zobrazeno 1 - 10
of 12 252
pro vyhledávání: '"Campi A."'
Convolutional Neural Networks (CNNs) have seen significant performance improvements in recent years. However, due to their size and complexity, they function as black-boxes, leading to transparency concerns. State-of-the-art saliency methods generate
Externí odkaz:
http://arxiv.org/abs/2411.05698
We frame dynamic persuasion in a partial observation stochastic control game with an ergodic criterion. The Receiver controls the dynamics of a multidimensional unobserved state process. Information is provided to the Receiver through a device design
Externí odkaz:
http://arxiv.org/abs/2410.07735
While the search of high Tc superconductivity was driven mostly by trial and error methodology searching for novel materials, here we provide a quasi-first-principle quantum theory for engineering superconductivity in artificial high-Tc superlattices
Externí odkaz:
http://arxiv.org/abs/2407.19069
Recently, the quest for high-Tc superconductivity has evolved from the trial-and-error methodology to the growth of nanostructured artificial high-Tc superlattices (AHTS) with tailor-made superconducting functional properties by quantum design. Super
Externí odkaz:
http://arxiv.org/abs/2407.19068
Autor:
Parodi, Davide, Dighero, Edoardo, Biddau, Giorgia, D'Amico, Francesca, Bauckneht, Matteo, Marini, Cecilia, Garbarino, Sara, Campi, Cristina, Piana, Michele, Sambuceti, Gianmario
Purpose: Analysis of [18F]-Fluorodeoxyglucose (FDG) kinetics in cancer has been most often limited to the evaluation of the average uptake over relatively large volumes. Nevertheless, tumor lesion almost contains inflammatory infiltrates whose cells
Externí odkaz:
http://arxiv.org/abs/2406.00382
Functional Isolation Forest (FIF) is a recent state-of-the-art Anomaly Detection (AD) algorithm designed for functional data. It relies on a tree partition procedure where an abnormality score is computed by projecting each curve observation on a dra
Externí odkaz:
http://arxiv.org/abs/2403.04405
Sign-Perturbed Sums (SPS) is a system identification method that constructs confidence regions for the unknown system parameters. In this paper, we study SPS for ARX systems, and establish that the confidence regions are guaranteed to include the tru
Externí odkaz:
http://arxiv.org/abs/2402.11528
Autor:
Piana, Michele, Benvenuto, Federico, Massone, Anna Maria, Campi, Cristina, Guastavino, Sabrina, Marchetti, Francesco, Massa, Paolo, Perracchione, Emma, Volpara, Anna
AI-FLARES (Artificial Intelligence for the Analysis of Solar Flares Data) is a research project funded by the Agenzia Spaziale Italiana and by the Istituto Nazionale di Astrofisica within the framework of the ``Attivit\`a di Studio per la Comunit\`a
Externí odkaz:
http://arxiv.org/abs/2401.01104
One-dimensional materials have gained much attention in the last decades: from carbon nanotubes to ultrathin nanowires, to few-atom atomic chains, these can all display unique electronic properties and great potential for next-generation applications
Externí odkaz:
http://arxiv.org/abs/2312.16968
The analysis of the psoas muscle in morphological and functional imaging has proved to be an accurate approach to assess sarcopenia, i.e. a systemic loss of skeletal muscle mass and function that may be correlated to multifactorial etiological aspect
Externí odkaz:
http://arxiv.org/abs/2312.05887