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pro vyhledávání: '"Bongini, P"'
Autor:
Marianna Maspero, Carlo Sposito, Marco A. Bongini, Tommaso Cascella, Maria Flores, Marco Maccauro, Carlo Chiesa, Monica Niger, Filippo Pietrantonio, Giuseppe Leoncini, Valentina Bellia, Sherrie Bhoori, Vincenzo Mazzaferro
Publikováno v:
Transplant International, Vol 37 (2024)
Liver transplantation (LT) is a potentially curative experimental treatment for unresectable intrahepatic cholangiocarcinoma (iCC). Pre-transplant downstaging may help defining tumor aggressiveness and drive patient selection. We report the prelimina
Externí odkaz:
https://doaj.org/article/b28943129bbc4bac9a621343e0d4362d
Predicting drug side-effects before they occur is a key task in keeping the number of drug-related hospitalizations low and to improve drug discovery processes. Automatic predictors of side-effects generally are not able to process the structure of t
Externí odkaz:
http://arxiv.org/abs/2211.16871
The use of Deep Learning and Computer Vision in the Cultural Heritage domain is becoming highly relevant in the last few years with lots of applications about audio smart guides, interactive museums and augmented reality. All these technologies requi
Externí odkaz:
http://arxiv.org/abs/2207.12101
Autor:
Bongini, Pietro, Scarselli, Franco, Bianchini, Monica, Dimitri, Giovanna Maria, Pancino, Niccolò, Liò, Pietro
Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes. Predicting the probability of side-effects, before their occurrence, is fundamental to reduce this impact, in particular on drug discovery.
Externí odkaz:
http://arxiv.org/abs/2202.08147
Autor:
Bongini, Mattia, Salvarani, Francesco
In this paper we study a mean-field games system with Dirichlet boundary conditions in a closed domain and in a mean-field of control setting, that is in which the dynamics of each agent is affected not only by the average position of the rest of the
Externí odkaz:
http://arxiv.org/abs/2111.14209
In this paper we propose a novel data augmentation approach for visual content domains that have scarce training datasets, compositing synthetic 3D objects within real scenes. We show the performance of the proposed system in the context of object de
Externí odkaz:
http://arxiv.org/abs/2106.13603
Publikováno v:
Neurocomputing 2021
Drug Discovery is a fundamental and ever-evolving field of research. The design of new candidate molecules requires large amounts of time and money, and computational methods are being increasingly employed to cut these costs. Machine learning method
Externí odkaz:
http://arxiv.org/abs/2012.07397
Technology and the fruition of cultural heritage are becoming increasingly more entwined, especially with the advent of smart audio guides, virtual and augmented reality, and interactive installations. Machine learning and computer vision are importa
Externí odkaz:
http://arxiv.org/abs/2003.09853
Akademický článek
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Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-M-2-2023, Pp 33-41 (2023)
The implementation of geometric, alphanumerical and documentary data within BIM models is opening up interesting scenarios in the integrated management of existing infrastructure works. In particular, data from the application of sensors for structur
Externí odkaz:
https://doaj.org/article/4720dca7b083411dba3c6d1b153f4cd7