"Y. Akiyama,M. Vu,K. Slavakis","Online lightweight reinforcement learning against outliers in linear adaptive filtering","Signal Processing (SIP) Symposium",,,,,,2022,Nov.
"M. Vu,Y. Akiyama,K. Slavakis","Least-mean p-norm adaptive filtering via reinforcement learning","Signal Processing (SIP) Symposium",,,,,,2022,Nov.
"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",,,,,,2022,Oct.
"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",2022,Feb.