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 in GRACE monthly harmonic coefficients using machine learning algorithms


Conference paper


Dimitrios Piretzidis, Gurveer Sra, George Karantaidis, Michael G Sideris
EGU General Assembly Conference Abstracts, 2017, p. 11128

Cite

Cite

APA   Click to copy
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   Click to copy
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   Click to copy
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}
}


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