Zobrazeno 1 - 10
of 7 137
pro vyhledávání: '"Casale P"'
Autor:
Bernecker, Tobias, Rehawi, Ghalia, Casale, Francesco Paolo, Knauer-Arloth, Janine, Marsico, Annalisa
Graph generation addresses the problem of generating new graphs that have a data distribution similar to real-world graphs. While previous diffusion-based graph generation methods have shown promising results, they often struggle to scale to large gr
Externí odkaz:
http://arxiv.org/abs/2408.04461
Autor:
Zhong, Xian, Salahuddin, Zohaib, Chen, Yi, Woodruff, Henry C, Long, Haiyi, Peng, Jianyun, Udawatte, Nuwan, Casale, Roberto, Mokhtari, Ayoub, Zhang, Xiaoer, Huang, Jiayao, Wu, Qingyu, Tan, Li, Chen, Lili, Li, Dongming, Xie, Xiaoyan, Lin, Manxia, Lambin, Philippe
Artificial intelligence (AI)-based decision support systems have demonstrated value in predicting post-hepatectomy liver failure (PHLF) in hepatocellular carcinoma (HCC). However, they often lack transparency, and the impact of model explanations on
Externí odkaz:
http://arxiv.org/abs/2408.03771
Autor:
Simões, Luís F., Casale, Pierluigi, Felismino, Marília, Yip, Kai Hou, Waldmann, Ingo P., Tinetti, Giovanna, Lueftinger, Theresa
Publikováno v:
Proceedings of the 1st SPAICE Conference on AI in and for Space, pp. 186-190, 2024
Safe operation of machine learning models requires architectures that explicitly delimit their operational ranges. We evaluate the ability of anomaly detection algorithms to provide indicators correlated with degraded model performance. By placing ac
Externí odkaz:
http://arxiv.org/abs/2408.02581
A new geometrically exact micro-structured model is constructed using a generalisation of the notion of Riemann-Cartan manifolds and fibre bundle theory of rank 3. This model is based around the concept of two different length scales: a macroscopic s
Externí odkaz:
http://arxiv.org/abs/2404.03269
Autor:
Engelmann, Jan P., Palma, Alessandro, Tomczak, Jakub M., Theis, Fabian J., Casale, Francesco Paolo
Predicting patient features from single-cell data can help identify cellular states implicated in health and disease. Linear models and average cell type expressions are typically favored for this task for their efficiency and robustness, but they ov
Externí odkaz:
http://arxiv.org/abs/2311.02455
This article conducts an extensive examination of the persisting challenges related to smart contract attacks within blockchain networks, with a particular focus on the reentrancy attack. It emphasizes the inherent vulnerabilities embedded in the pro
Externí odkaz:
http://arxiv.org/abs/2309.17200
In this article we study Kummer's $\mathcal D$-groupoid, which is the groupoid of symmetries of a meromorphic projective structure. We give necessary and sufficient conditions for its minimality, in the sense of not having infinite sub-$\mathcal D$-g
Externí odkaz:
http://arxiv.org/abs/2309.07829
In recent years the concept of metaverse has evolved in the attempt of defining richer immersive and interactive environments supporting various types of virtual experiences and interactions among users. This has led to the emergence of various diffe
Externí odkaz:
http://arxiv.org/abs/2308.16787
Autor:
Cesare Saitta, Marco Paciotti, Giovanni Lughezzani, Giuseppe Garofano, Margaret F. Meagher, Kit L. Yuen, Vittorio Fasulo, Roberto Contieri, Pier Paolo Avolio, Andrea Piccolini, Paola Arena, Matilde Mantovani, Edoardo Beatrici, Marta Calatroni, Francesco Reggiani, Rodolfo F. Hurle, Massimo Lazzeri, Alberto Saita, Paolo Casale, Ithaar H. Derweesh, Nicolò M. Buffi
Publikováno v:
BJUI Compass, Vol 5, Iss 10, Pp 942-949 (2024)
Abstract Purpose The purpose of this study is to investigate the impact of Mayo Adhesive Probability (MAP) score and body mass index (BMI) on renal function decline after robotic assisted partial nephrectomy (RAPN). Methods We queried our prospective
Externí odkaz:
https://doaj.org/article/e3ec7ea1d77b4cddab3a8ac457718fba
Autor:
Giovanna Gentile, Antonio Del Casale, Ottavia De Luca, Gerardo Salerno, Sara Spirito, Martina Regiani, Matteo Regiani, Saskia Preissner, Monica Rocco, Robert Preissner, Maurizio Simmaco, Marina Borro
Publikováno v:
Archives of Public Health, Vol 82, Iss 1, Pp 1-8 (2024)
Abstract Background Prescribing errors put an enormous burden on health and the economy, claiming implementation of effective methods to prevent/reduce them. Polypharmacy regimens (five or more drugs) are highly prone to unacknowledged prescribing er
Externí odkaz:
https://doaj.org/article/3ad7ee251d1842fe90620409db9d9615