Journal article
Geophysical Journal International, vol. 215(1), 2018 Sep 1, pp. 375-388
PhD researcher in Signal Processing and Information Forensics
Artificial Intelligence and Information Analysis Laboratory
Aristotle University of Thessaloniki
APA
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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
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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
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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}
}