Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Marco, Aldinucci"'
Publikováno v:
IEEE Access, Vol 12, Pp 47961-47971 (2024)
Training Deep Learning (DL) models require large, high-quality datasets, often assembled with data from different institutions. Federated Learning (FL) has been emerging as a method for privacy-preserving pooling of datasets employing collaborative t
Externí odkaz:
https://doaj.org/article/105e11334dad42d690a6c3e9135dec79
Publikováno v:
STAR Protocols, Vol 5, Iss 1, Pp 102812- (2024)
Summary: Federated learning is a cooperative learning approach that has emerged as an effective way to address privacy concerns. Here, we present a protocol for training MERGE: a federated multi-input neural network (NN) for COVID-19 prognosis. We de
Externí odkaz:
https://doaj.org/article/74d404dfe58044f4afb52edd74071ebe
Publikováno v:
Patterns, Vol 4, Iss 11, Pp 100856- (2023)
Summary: Driven by the deep learning (DL) revolution, artificial intelligence (AI) has become a fundamental tool for many biomedical tasks, including analyzing and classifying diagnostic images. Imaging, however, is not the only source of information
Externí odkaz:
https://doaj.org/article/785fe518d3564ca2aedf7a4b157242b2
Publikováno v:
BMC Bioinformatics, Vol 22, Iss S2, Pp 1-16 (2021)
Abstract Background High-throughput sequencing Chromosome Conformation Capture (Hi-C) allows the study of DNA interactions and 3D chromosome folding at the genome-wide scale. Usually, these data are represented as matrices describing the binary conta
Externí odkaz:
https://doaj.org/article/06063e5d8faf4783a41b3cf45194d05e
Driven by the Deep Learning (DL) revolution, Artificial intelligence (AI) has become a fundamental tool for many Bio-Medical tasks, including AI-assisted diagnosis. These include analysing and classifying images (2D and 3D), where, for some tasks, DL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6aff1408c8dfa0979bd07b423a196c51
https://doi.org/10.36227/techrxiv.22492732
https://doi.org/10.36227/techrxiv.22492732
Autor:
Gianluca Mittone, Marco Aldinucci, Valentina Cesare, Barbara Cantalupo, Alberto Riccardo Martinelli, Carlo Cavazzoni, Iacopo Colonnelli, Maurizio Drocco
Publikováno v:
Journal of Parallel and Distributed Computing. 157:13-29
This work aims at distilling a systematic methodology to modernize existing sequential scientific codes with a little re-designing effort, turning an old codebase into modern code, i.e., parallel and robust code. We propose a semi-automatic methodolo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dcc3853d8b12f9ba616ddd30c5f8ad66
https://doi.org/10.1016/j.jpdc.2021.05.017
https://doi.org/10.1016/j.jpdc.2021.05.017
Publikováno v:
Methods in Molecular Biology ISBN: 9781071627556
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9ab080895856f6146e0eebda164e8ea
https://hdl.handle.net/2318/1885420
https://hdl.handle.net/2318/1885420
Aggregating pharmaceutical data in the drug-target interaction (DTI) domain has the potential to deliver life-saving breakthroughs. It is, however, notoriously difficult due to regulatory constraints and commercial interests. This work proposes the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f6fb4599158f53868529646c55af3f69
Publikováno v:
Methods in molecular biology (Clifton, N.J.). 2584
The idea behind novel single-cell RNA sequencing (scRNA-seq) pipelines is to isolate single cells through microfluidic approaches and generate sequencing libraries in which the transcripts are tagged to track their cell of origin. Modern scRNA-seq pl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::2b592304add4099ee77ac5a93b35cc81
https://pubmed.ncbi.nlm.nih.gov/36495459
https://pubmed.ncbi.nlm.nih.gov/36495459