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SLAVAKISKONSTANTINOS 研究業績一覧 (11件)
論文
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Ye Chen,
Kyohei Okubo,
Konstantinos Slavakis,
Yoshitaka Kitamot.
Estimation of biomolecule amount by analyzing magnetic nanoparticle cluster distributions from alternating current magnetization spectra for magnetic biosensing,
Journal of Magnetism and Magnetic Materials,
Elsevier,
Vol. 588,
171387,
Oct. 2023.
公式リンク
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K. Slavakis,
G. N. Shetty,
L. Cannelli,
G. Scutari,
U. Nakarmi,
L. Ying.
Kernel regression imputation in manifolds via bi-linear modeling: The dynamic-MRI case,
IEEE Transactions on Computational Imaging,
IEEE,
vol. 8,
pp. 133-147,
Feb. 2022.
国際会議発表 (査読有り)
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M. Vu,
Y. Akiyama,
K. Slavakis.
Dynamic selection of p-norm in linear adaptive filtering via online kernel-based reinforcement learning,
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
July 2023.
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Ye Chen,
Kyohei Okubo,
Konstantinos Slavakis,
Yoshitaka Kitamoto.
A machine-learning-based analysis method of AC magnetization spectra for estimating cluster distribution of magnetic nanoparticles,
IEEE International Magnetics Conference (INTERMAG),
May 2023.
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Ye Chen,
Konstantinos Slavakis,
Yoshitaka Kitamoto.
A Machine Learning Based Analysis Method of AC Magnetization Spectra of Magnetic Nanoparticles and Its Application to Magnetic Biosensing,
ICFPM2022 International Conference on Fine Particle Magnetism,
Oct. 2022.
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C. Ye,
K. Slavakis,
J. Nakuci,
S. F. Muldoon,
J. Medaglia.
Online classification of dynamic multilayer-network time series in Riemannian manifolds,
Internations Conference Acoustics, Speech and Signal Processing,
pp. 3815-3819,
May 2021.
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K. Slavakis,
M. Yukawa.
Outlier-robust kernel hierarchical-optimization RLS on a budget with affine constraints,
International Conference Acoustics, Speech and Signal Processing,
pp. 5335-5339,
May 2021.
国内会議発表 (査読なし・不明)
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Y. Akiyama,
M. Vu,
K. Slavakis.
Online lightweight reinforcement learning against outliers in linear adaptive filtering,
Signal Processing (SIP) Symposium,
Nov. 2022.
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M. Vu,
Y. Akiyama,
K. Slavakis.
Least-mean p-norm adaptive filtering via reinforcement learning,
Signal Processing (SIP) Symposium,
Nov. 2022.
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K. Slavakis.
Learning from data in manifolds: Methods, applications, and recent developments,
Signal Processing (SIP) Symposium,
IEICE,
Nov. 2021.
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