Conference paper
EGU General Assembly Conference Abstracts, 2017, p. 11128
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. (2017). Identifying presence of correlated errors in GRACE monthly harmonic coefficients using machine learning algorithms. In EGU General Assembly Conference Abstracts (p. 11128).
Chicago/Turabian
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Piretzidis, Dimitrios, Gurveer Sra, George Karantaidis, and Michael G Sideris. “Identifying Presence of Correlated Errors in GRACE Monthly Harmonic Coefficients Using Machine Learning Algorithms.” In EGU General Assembly Conference Abstracts, 11128, 2017.
MLA
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Piretzidis, Dimitrios, et al. “Identifying Presence of Correlated Errors in GRACE Monthly Harmonic Coefficients Using Machine Learning Algorithms.” EGU General Assembly Conference Abstracts, 2017, p. 11128.
BibTeX Click to copy
@inproceedings{piretzidis2017a,
title = {Identifying presence of correlated errors in GRACE monthly harmonic coefficients using machine learning algorithms},
year = {2017},
pages = {11128},
author = {Piretzidis, Dimitrios and Sra, Gurveer and Karantaidis, George and Sideris, Michael G},
booktitle = {EGU General Assembly Conference Abstracts}
}