Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Konstantinos D. Polyzos"'
Autor:
Manish K. Singh, Konstantinos D. Polyzos, Panagiotis A. Traganitis, Sairaj V. Dhople, Georgios B. Giannakis
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d8220ceb019192b4c7c002c12c730cc
https://doi.org/10.1109/icassp49357.2023.10095768
https://doi.org/10.1109/icassp49357.2023.10095768
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63a6d3993fa6100606c5c9f190ecdaf0
https://doi.org/10.1109/icassp49357.2023.10095008
https://doi.org/10.1109/icassp49357.2023.10095008
Autor:
Qin Lu, Konstantinos D. Polyzos
Publikováno v:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c86cc0fdb9330da85728af1c6437367b
https://doi.org/10.1109/icassp49357.2023.10095718
https://doi.org/10.1109/icassp49357.2023.10095718
Publikováno v:
IEEE Transactions on Signal Processing. 70:17-30
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c0229b611232423410bc3b00961fa15
https://doi.org/10.1109/tsp.2021.3122095
https://doi.org/10.1109/tsp.2021.3122095
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e03ab015d8dbb8eb621345d090982c0
https://doi.org/10.1109/ieeeconf56349.2022.10051888
https://doi.org/10.1109/ieeeconf56349.2022.10051888
Bayesian optimization (BO) has well-documented merits for optimizing black-box functions with an expensive evaluation cost. Such functions emerge in applications as diverse as hyperparameter tuning, drug discovery, and robotics. BO hinges on a Bayesi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52194b8caad9a85f7f8905255f00b4dd
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82d469035d1f3bc8e51cc787071bf621
https://doi.org/10.1109/ieeeconf53345.2021.9723135
https://doi.org/10.1109/ieeeconf53345.2021.9723135
Publikováno v:
2021 55th Asilomar Conference on Signals, Systems, and Computers.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::26eb9d9c3d70c02b8d933537bdee9d39
https://doi.org/10.1109/ieeeconf53345.2021.9723225
https://doi.org/10.1109/ieeeconf53345.2021.9723225
Autor:
Dimitrios C. Rodopoulos, Theodore V. Gortsas, Stephanos V. Tsinopoulos, Konstantinos D. Polyzos
Publikováno v:
Engineering Analysis with Boundary Elements. 106:160-169
The majority of the numerical methods applied so far for the simulation of a magnetostatic problem is based either on reduced and total scalar or vector potential formulations. The first one suffers from cancellation errors, the second one from the d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8776010d94c32cb0425a6d485fcd9114
https://doi.org/10.1016/j.enganabound.2019.04.024
https://doi.org/10.1016/j.enganabound.2019.04.024
Publikováno v:
ICASSP
Graph-guided semi-supervised learning (SSL) is a major task emerging in a gamut of network science applications. However, most SSL approaches rely on deterministic similarity metrics for prediction, thus providing only point estimates of the sought f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90d4fee5f09718b3b4b8309ab0d689b7
https://doi.org/10.1109/icassp39728.2021.9413970
https://doi.org/10.1109/icassp39728.2021.9413970