Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Filippo Grazioli"'
Autor:
Filippo Grazioli, Anja Mösch, Pierre Machart, Kai Li, Israa Alqassem, Timothy J. O’Donnell, Martin Renqiang Min
Publikováno v:
Frontiers in Immunology, Vol 13 (2022)
Several recent studies investigate TCR-peptide/-pMHC binding prediction using machine learning or deep learning approaches. Many of these methods achieve impressive results on test sets, which include peptide sequences that are also included in the t
Externí odkaz:
https://doaj.org/article/f9abfd4951624b158394944df667b100
Autor:
Filippo Grazioli, Raman Siarheyeu, Israa Alqassem, Andreas Henschel, Giampaolo Pileggi, Andrea Meiser
Publikováno v:
PLoS Computational Biology, Vol 18, Iss 4, p e1010050 (2022)
Scientific research is shedding light on the interaction of the gut microbiome with the human host and on its role in human health. Existing machine learning methods have shown great potential in discriminating healthy from diseased microbiome states
Externí odkaz:
https://doaj.org/article/1396a66da3154fccb547832d4e802f91
Autor:
Filippo Grazioli, Pierre Machart, Anja Mösch, Kai Li, Leonardo V Castorina, Nico Pfeifer, Martin Renqiang Min
Publikováno v:
Bioinformatics. 39
Motivation We present a multi-sequence generalization of Variational Information Bottleneck and call the resulting model Attentive Variational Information Bottleneck (AVIB). Our AVIB model leverages multi-head self-attention to implicitly approximate
Autor:
Filippo Grazioli, Raman Siarheyeu, Israa Alqassem, Andreas Henschel, Giampaolo Pileggi, Andrea Meiser
Publikováno v:
PLoS computational biology. 18(4)
Scientific research is shedding light on the interaction of the gut microbiome with the human host and on its role in human health state. Existing machine learning methods have shown great potential in discriminating healthy from diseased microbiome
Derivation of a Model of Safety Critical Transitions between Driver and Vehicle in Automated Driving
Autor:
Eugen Altendorf, Filippo Grazioli, Nicolas Daniel Herzberger, Gudrun M. I. Voß, Frank Flemisch, Fabian Becker, Yigiterkut Canpolat, Maximilian Schwalm
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319938844
In automated driving, there is the risk that users must take over the vehicle guidance despite a potential lack of involvement in the driving task. This publication presents an initial model of control distribution between users and the automated sys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::697562c3385ab053f7572e8237b247a7
https://doi.org/10.1007/978-3-319-93885-1_38
https://doi.org/10.1007/978-3-319-93885-1_38
Publikováno v:
Università degli studi di Modena e Reggio Emilia-IRIS
3DV
3DV
In this paper, an adversarial architecture for facial depth map estimation from monocular intensity images is presented. By following an image-to-image approach, we combine the advantages of supervised learning and adversarial training, proposing a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::097d76d10b886274cc8348aa3377bdf2
https://hdl.handle.net/11380/1164476
https://hdl.handle.net/11380/1164476
Publikováno v:
Università degli studi di Modena e Reggio Emilia-IRIS
In this paper, a deep Siamese architecture for depth-based face verification is presented. The proposed approach efficiently verifies if two face images belong to the same person while handling a great variety of head poses and occlusions. The archit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d4ec1e89edab45b5d4bc425814909102
https://iris.unimore.it/handle/11380/1164474
https://iris.unimore.it/handle/11380/1164474