Zobrazeno 1 - 10
of 1 392
pro vyhledávání: '"Spallanzani, A"'
Autor:
Bianca Medici, Eugenia Caffari, Massimiliano Salati, Andrea Spallanzani, Ingrid Garajova, Federico Piacentini, Massimo Dominici, Fabio Gelsomino
Publikováno v:
Case Reports in Oncology, Vol 17, Iss 1, Pp 1208-1213 (2024)
Introduction: Spontaneous tumor regression is the volumetric reduction or complete disappearance of a primary tumor or metastatic sites (single or multiple) without the administration of treatments. This rare phenomenon occurs most commonly in certai
Externí odkaz:
https://doaj.org/article/00abef5e76d14bfcaccbed1adeed9ca5
Autor:
Bonacci, Miki, Qiao, Junfeng, Spallanzani, Nicola, Marrazzo, Antimo, Pizzi, Giovanni, Molinari, Elisa, Varsano, Daniele, Ferretti, Andrea, Prezzi, Deborah
Publikováno v:
npj Computational Materials volume 9, Article number: 74 (2023)
The automation of ab initio simulations is essential in view of performing high-throughput (HT) computational screenings oriented to the discovery of novel materials with desired physical properties. In this work, we propose algorithms and implementa
Externí odkaz:
http://arxiv.org/abs/2301.06407
Autor:
Ingolfsson, Thorir Mar, Vero, Mark, Wang, Xiaying, Lamberti, Lorenzo, Benini, Luca, Spallanzani, Matteo
The computational demands of neural architecture search (NAS) algorithms are usually directly proportional to the size of their target search spaces. Thus, limiting the search to high-quality subsets can greatly reduce the computational load of NAS a
Externí odkaz:
http://arxiv.org/abs/2204.14103
Autor:
Di Mauro, Alfio, Prasad, Arpan Suravi, Huang, Zhikai, Spallanzani, Matteo, Conti, Francesco, Benini, Luca
Event-based sensors are drawing increasing attention due to their high temporal resolution, low power consumption, and low bandwidth. To efficiently extract semantically meaningful information from sparse data streams produced by such sensors, we pre
Externí odkaz:
http://arxiv.org/abs/2204.10687
Autor:
Reni, M., Giommoni, E., Bergamo, F., Cavanna, L., Simionato, F., Spada, M., Di Marco, M., Bernardini, I., Cordio, S.S., Latiano, T., Spallanzani, A., Silvestris, N., Cardellino, G.G., Bonomi, M., Milella, M., Luchena, G., Tamburini, E., Macchini, M., Orsi, G., Modesti, M., Procaccio, L., Santoni, A., De Simone, I., Caldirola, L., Galli, F., Pinto, C.
Publikováno v:
In Pancreatology November 2024 24(7):1160-1166
Autor:
Carconi, Catia, Bosi, Carlo, Scartozzi, Mario, Cergnul, Massimiliano, Cinausero, Marika, Faloppi, Luca, Garajova, Ingrid, Lonardi, Sara, Pecora, Irene, Pisanu, Laura, Spadi, Rosella, Spallanzani, Andrea, Peretti, Umberto, Macchini, Marina, Orsi, Giulia, Reni, Michele
Publikováno v:
In Pancreatology November 2024 24(7):1066-1072
Training quantised neural networks (QNNs) is a non-differentiable optimisation problem since weights and features are output by piecewise constant functions. The standard solution is to apply the straight-through estimator (STE), using different func
Externí odkaz:
http://arxiv.org/abs/2203.11323
Efficient detection and description of geometric regions in images is a prerequisite in visual systems for localization and mapping. Such systems still rely on traditional hand-crafted methods for efficient generation of lightweight descriptors, a co
Externí odkaz:
http://arxiv.org/abs/2203.03610
Autor:
Grisendi, Giulia, Dall’Ora, Massimiliano, Casari, Giulia, Spattini, Giliola, Farshchian, Moein, Melandri, Aurora, Masciale, Valentina, Lepore, Fabio, Banchelli, Federico, Costantini, Riccardo Cuoghi, D’Esposito, Angela, Chiavelli, Chiara, Spano, Carlotta, Spallanzani, Andrea, Petrachi, Tiziana, Veronesi, Elena, Ferracin, Manuela, Roncarati, Roberta, Vinet, Jonathan, Magistri, Paolo, Catellani, Barbara, Candini, Olivia, Marra, Caterina, Eccher, Albino, Bonetti, Luca Reggiani, Horwitz, Edwin M., Di Benedetto, Fabrizio, Dominici, Massimo
Publikováno v:
In Cell Reports Medicine 20 August 2024 5(8)
Autor:
Herrera Kok, Johnn Henry, Marano, Luigi, van den Berg, Jan Willem, Shetty, Preethi, Vashist, Yogesh, Lorenzon, Laura, Rau, Beate, van Hillegersberg, Richard, de Manzoni, Giovanni, Spallanzani, Andrea, Seo, Won Jun, Nagata, Hiromi, Eveno, Clarisse, Mönig, Stefan, van der Sluis, Karen, Solaini, Leonardo, Wijnhoven, Bas PL., Puccetti, Francesco, Chevallay, Mickael, Lee, Eunju, D'Ugo, Domenico
Publikováno v:
In European Journal of Surgical Oncology July 2024 50(7)