Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Paolo Bientinesi"'
Publikováno v:
Signals, Vol 4, Iss 4, Pp 768-787 (2023)
Within the broad problem known as automatic music transcription, we considered the specific task of automatic drum transcription (ADT). This is a complex task that has recently shown significant advances thanks to deep learning (DL) techniques. Most
Externí odkaz:
https://doaj.org/article/296379d2f4654301a6b759c59c167941
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 8 (2022)
Externí odkaz:
https://doaj.org/article/db8d7c243c4e401ab3528e5db4a0cf25
Publikováno v:
Frontiers in Applied Mathematics and Statistics, Vol 8 (2022)
The Canonical Polyadic (CP) tensor decomposition is frequently used as a model in applications in a variety of different fields. Using jackknife resampling to estimate parameter uncertainties is often desirable but results in an increase of the alrea
Externí odkaz:
https://doaj.org/article/6f323d3be3bb4b0cbfa59e8fa65e5a2c
Autor:
Jure Vreca, Karl J. X. Sturm, Ernest Gungl, Farhad Merchant, Paolo Bientinesi, Rainer Leupers, Zmago Brezocnik
Publikováno v:
IEEE Access, Vol 8, Pp 165913-165926 (2020)
Deep learning algorithms have seen success in a wide variety of applications, such as machine translation, image and speech recognition, and self-driving cars. However, these algorithms have only recently gained a foothold in the embedded systems dom
Externí odkaz:
https://doaj.org/article/1ec88e37e19545149b19e47d18d31826
Publikováno v:
Emergency Care Journal, Vol 17, Iss 2 (2021)
If acute carbon monoxide poisoning is a well-known emergency situation, this is not the case for chronic poisoning. The missed diagnosis of acute CO poisoning is a well-known problem but the identification of a chronic poisoning is very challenging.
Externí odkaz:
https://doaj.org/article/d20e2c111470440f9c4bb3bafbcbefc5
Autor:
Diego Fabregat-Traver, Sodbo Zh. Sharapov, Caroline Hayward, Igor Rudan, Harry Campbell, Yurii Aulchenko, Paolo Bientinesi
Publikováno v:
F1000Research, Vol 3 (2014)
To raise the power of genome-wide association studies (GWAS) and avoid false-positive results in structured populations, one can rely on mixed model based tests. When large samples are used, and when multiple traits are to be studied in the ’omics
Externí odkaz:
https://doaj.org/article/89ee84e6fb41469c947941b70129086b
Publikováno v:
Psarras, C, Karlsson, L, Bro, R & Bientinesi, P 2022, ' Algorithm 1026 : Concurrent Alternating Least Squares for Multiple Simultaneous Canonical Polyadic Decompositions ', ACM Transactions on Mathematical Software, vol. 48, no. 3, 34 . https://doi.org/10.1145/3519383
Tensor decompositions, such as CANDECOMP/PARAFAC (CP), are widely used in a variety of applications, such as chemometrics, signal processing, and machine learning. A broadly used method for computing such decompositions relies on the Alternating Leas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a22305df4cb53a6e9c0c51ab81191f60
https://doi.org/10.1145/3519383
https://doi.org/10.1145/3519383
Publikováno v:
SIAM journal on scientific computing 43(4), A2660–A2684 (2021). doi:10.1137/20M1313933
Siam Journal on Scientific Computing, 43(4), A2660-A2684. Society for Industrial and Applied Mathematics Publications
Siam Journal on Scientific Computing, 43(4), A2660-A2684. Society for Industrial and Applied Mathematics Publications
In recent years, contour-based eigensolvers have emerged as a standard approach for the solution of large and sparse eigenvalue problems. Building upon recent performance improvements through non-linear least square optimization of so-called rational
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::280c45caea2a02d388ab5367b32a7b82
https://doi.org/10.1137/20m1313933
https://doi.org/10.1137/20m1313933
Publikováno v:
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).
Linear algebra operations, which are ubiquitous in machine learning, form major performance bottlenecks. The High-Performance Computing community invests significant effort in the development of architecture-specific optimized kernels, such as those
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aab833bbc6f570a4f7024a7d296aedb0
https://doi.org/10.1109/ipdpsw55747.2022.00150
https://doi.org/10.1109/ipdpsw55747.2022.00150
Publikováno v:
Frontiers Research Topics ISBN: 9782832504253
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be9e1838afc41109f1c2de17807433cf
https://doi.org/10.3389/978-2-8325-0425-3
https://doi.org/10.3389/978-2-8325-0425-3
