Zobrazeno 1 - 10
of 164
pro vyhledávání: '"Damiani, Chiara"'
Autor:
Craighero, Francesco, Angaroni, Fabrizio, Stella, Fabio, Damiani, Chiara, Antoniotti, Marco, Graudenzi, Alex
A key challenge in computer vision and deep learning is the definition of robust strategies for the detection of adversarial examples. Here, we propose the adoption of ensemble approaches to leverage the effectiveness of multiple detectors in exploit
Externí odkaz:
http://arxiv.org/abs/2111.12631
Publikováno v:
In Journal of Biomedical Informatics February 2024 150
Autor:
Craighero, Francesco, Angaroni, Fabrizio, Stella, Fabio, Damiani, Chiara, Antoniotti, Marco, Graudenzi, Alex
Publikováno v:
In Neurocomputing 14 October 2023 554
Autor:
Maspero, Davide, Isella, Claudio, Di Filippo, Marzia, Graudenzi, Alex, Bellomo, Sara Erika, Antoniotti, Marco, Mauri, Giancarlo, Medico, Enzo, Damiani, Chiara
It is well known that tumors originating from the same tissue have different prognosis and sensitivity to treatments. Over the last decade, cancer genomics consortia like the Cancer Genome Atlas (TCGA) have been generating thousands of cross-sectiona
Externí odkaz:
http://arxiv.org/abs/1710.06017
Publikováno v:
In Information and Computation December 2021 281
Autor:
Paroni, Andrea, Graudenzi, Alex, Caravagna, Giulio, Damiani, Chiara, Mauri, Giancarlo, Antoniotti, Marco
Background. Dynamical models of gene regulatory networks (GRNs) are highly effective in describing complex biological phenomena and processes, such as cell differentiation and cancer development. Yet, the topological and functional characterization o
Externí odkaz:
http://arxiv.org/abs/1508.03526
Autor:
Villani, Marco, Campioli, Davide, Damiani, Chiara, Roli, Andrea, Filisetti, Alessandro, Serra, Roberto
Random boolean networks are a model of genetic regulatory networks that has proven able to describe experimental data in biology. They not only reproduce important phenomena in cell dynamics, but they are also extremely interesting from a theoretical
Externí odkaz:
http://arxiv.org/abs/1502.06992
Autor:
Filisetti, Alessandro, Villani, Marco, Damiani, Chiara, Graudenzi, Alex, Roli, Andrea, Hordijk, Wim, Serra, Roberto
Publikováno v:
Advances in Artificial Life and Evolutionary Computation SE-10 (Vol. 445, pp. 113-126)
The emergence of autocatalytic sets of molecules seems to have played an important role in the origin of life context. Although the possibility to reproduce this emergence in laboratory has received considerable attention, this is still far from bein
Externí odkaz:
http://arxiv.org/abs/1502.00793
MaREA4Galaxy: Metabolic reaction enrichment analysis and visualization of RNA-seq data within Galaxy
Autor:
Damiani, Chiara, Rovida, Lorenzo, Maspero, Davide, Sala, Irene, Rosato, Luca, Di Filippo, Marzia, Pescini, Dario, Graudenzi, Alex, Antoniotti, Marco, Mauri, Giancarlo
Publikováno v:
In Computational and Structural Biotechnology Journal 2020 18:993-999
Autor:
Angaroni, Fabrizio, Chen, Kevin, Damiani, Chiara, Caravagna, Giulio, Graudenzi, Alex, Ramazzotti, Daniele
Motivation: Driver (epi)genomic alterations underlie the positive selection of cancer subpopulations, which promotes drug resistance and relapse. Even though substantial heterogeneity is witnessed in most cancer types, mutation accumulation patterns
Externí odkaz:
http://arxiv.org/abs/1408.6032