G

George Karantaidis

PhD researcher in Signal Processing and Information Forensics


Curriculum vitae


[email protected]


Artificial Intelligence and Information Analysis Laboratory

Aristotle University of Thessaloniki



Identifying presence of correlated errors using machine learning algorithms for the selective de-correlation of GRACE harmonic coefficients


Journal article


Dimitrios Piretzidis, Gurveer Sra, Georgios Karantaidis, Michael G Sideris, Hojjat Kabirzadeh
Geophysical Journal International, vol. 215(1), 2018 Sep 1, pp. 375-388

Cite

Cite

APA   Click to copy
Piretzidis, D., Sra, G., Karantaidis, G., Sideris, M. G., & Kabirzadeh, H. (2018). Identifying presence of correlated errors using machine learning algorithms for the selective de-correlation of GRACE harmonic coefficients. Geophysical Journal International, 215(1), 375–388.


Chicago/Turabian   Click to copy
Piretzidis, Dimitrios, Gurveer Sra, Georgios Karantaidis, Michael G Sideris, and Hojjat Kabirzadeh. “Identifying Presence of Correlated Errors Using Machine Learning Algorithms for the Selective De-Correlation of GRACE Harmonic Coefficients.” Geophysical Journal International 215, no. 1 (September 1, 2018): 375–388.


MLA   Click to copy
Piretzidis, Dimitrios, et al. “Identifying Presence of Correlated Errors Using Machine Learning Algorithms for the Selective De-Correlation of GRACE Harmonic Coefficients.” Geophysical Journal International, vol. 215, no. 1, Sept. 2018, pp. 375–88.


BibTeX   Click to copy

@article{dimitrios2018a,
  title = {Identifying presence of correlated errors using machine learning algorithms for the selective de-correlation of GRACE harmonic coefficients},
  year = {2018},
  month = sep,
  day = {1},
  issue = {1},
  journal = {Geophysical Journal International},
  pages = {375-388},
  volume = {215},
  author = {Piretzidis, Dimitrios and Sra, Gurveer and Karantaidis, Georgios and Sideris, Michael G and Kabirzadeh, Hojjat},
  month_numeric = {9}
}


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