Alessio Micheli
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Explore the profile of Alessio Micheli including associated specialties, affiliations and a list of published articles.
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20
Citations
107
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Recent Articles
1.
Joubbi S, Micheli A, Milazzo P, Maccari G, Ciano G, Cardamone D, et al.
Brief Bioinform
. 2024 Jul;
25(4).
PMID: 38960409
Deep learning has achieved impressive results in various fields such as computer vision and natural language processing, making it a powerful tool in biology. Its applications now encompass cellular image...
2.
Vozzi F, Pedrelli L, Dimitri G, Micheli A, Persiani E, Piacenti M, et al.
Heliyon
. 2024 Feb;
10(3):e25404.
PMID: 38333823
Artificial Intelligence (AI) applications and Machine Learning (ML) methods have gained much attention in recent years for their ability to automatically detect patterns in data without being explicitly taught rules....
3.
Fontanesi M, Micheli A, Milazzo P, Podda M
Bioinformatics
. 2023 Nov;
39(11).
PMID: 37951586
Motivation: Dynamical properties of biochemical pathways (BPs) help in understanding the functioning of living cells. Their in silico assessment requires simulating a dynamical system with a large number of parameters...
4.
Errica F, Giulini M, Bacciu D, Menichetti R, Micheli A, Potestio R
Front Mol Biosci
. 2021 May;
8:637396.
PMID: 33996896
The limits of molecular dynamics (MD) simulations of macromolecules are steadily pushed forward by the relentless development of computer architectures and algorithms. The consequent explosion in the number and extent...
5.
Bacciu D, Errica F, Micheli A, Podda M
Neural Netw
. 2020 Jun;
129:203-221.
PMID: 32559609
The adaptive processing of graph data is a long-standing research topic that has been lately consolidated as a theme of major interest in the deep learning community. The snap increase...
6.
Podda M, Bacciu D, Micheli A, Bellu R, Placidi G, Gagliardi L
Sci Rep
. 2018 Sep;
8(1):13743.
PMID: 30213963
Estimation of mortality risk of very preterm neonates is carried out in clinical and research settings. We aimed at elaborating a prediction tool using machine learning methods. We developed models...
7.
Gallicchio C, Micheli A, Pedrelli L
Neural Netw
. 2018 Aug;
108:33-47.
PMID: 30138751
In this paper, we provide a novel approach to the architectural design of deep Recurrent Neural Networks using signal frequency analysis. In particular, focusing on the Reservoir Computing framework and...
8.
Bacciu D, Micheli A, Sperduti A
IEEE Trans Neural Netw Learn Syst
. 2018 Jul;
29(10):4932-4946.
PMID: 29994607
This paper presents a family of methods for the design of adaptive kernels for tree-structured data that exploits the summarization properties of hidden states of hidden Markov models for trees....
9.
Bertinetto C, Duce C, Micheli A, Solaro R, Tine M
Mol Inform
. 2016 Jul;
29(8-9):635-43.
PMID: 27463457
The glass transition temperature (Tg ) of acrylic and methacrylic random copolymers was investigated by means of Quantitative Structure-Property Relationship (QSPR) methodology based on Recursive Neural Networks (RNN). This method...
10.
Barbuti R, Chessa S, Micheli A, Pucci R
PLoS One
. 2016 Mar;
11(3):e0151168.
PMID: 26985660
The goal of this research is to recognize the nest digging activity of tortoises using a device mounted atop the tortoise carapace. The device classifies tortoise movements in order to...