Ghent University Academic Bibliography

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- PhD Thesis
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A data-guided insight into global climate-vegetation dynamics

Christina Papagiannopoulou (UGent)

(2018)
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- Journal Article
- A1
- open access
Global hydro-climatic biomes identified via multitask learning

Christina Papagiannopoulou (UGent) , Diego Miralles (UGent) , Matthias Demuzere (UGent) , Niko Verhoest (UGent) and Willem Waegeman (UGent)

(2018) GEOSCIENTIFIC MODEL DEVELOPMENT. 11(10). p.4139-4153
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Analyzing Granger causality in climate data with time series classification methods

Christina Papagiannopoulou (UGent) , Stijn Decubber (UGent) , Diego Miralles (UGent) , Matthias Demuzere (UGent) , Niko Verhoest (UGent) and Willem Waegeman (UGent)

(2017) Lecture Notes in Artificial Intelligence. 10536. p.15-26
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- Journal Article
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Vegetation anomalies caused by antecedent precipitation in most of the world

Christina Papagiannopoulou (UGent) , Diego Miralles (UGent) , Wouter A Dorigo, Niko Verhoest (UGent) , Mathieu Depoorter (UGent) and Willem Waegeman (UGent)

(2017) ENVIRONMENTAL RESEARCH LETTERS. 12(7).
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A non-linear Granger-causality framework to investigate climate-vegetation dynamics

Christina Papagiannopoulou (UGent) , Diego Miralles (UGent) , Stijn Decubber (UGent) , Matthias Demuzere (UGent) , Niko Verhoest (UGent) , Wouter A Dorigo and Willem Waegeman (UGent)

(2017) GEOSCIENTIFIC MODEL DEVELOPMENT. 10(5). p.1945-1960
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A non-linear data-driven approach to reveal global vegetation sensitivity to climate

Diego Miralles (UGent) , Matthias Demuzere (UGent) , Niko Verhoest (UGent) , Christina Papagiannopoulou (UGent) , Stijn Decubber (UGent) , Willem Waegeman (UGent) and Wouter A. Dorigo

(2017) 2017 9TH INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTITEMPORAL REMOTE SENSING IMAGES (MULTITEMP).

Academic Bibliography

A data-guided insight into global climate-vegetation dynamics

Global hydro-climatic biomes identified via multitask learning

Analyzing Granger causality in climate data with time series classification methods

Vegetation anomalies caused by antecedent precipitation in most of the world

A non-linear Granger-causality framework to investigate climate-vegetation dynamics

A non-linear data-driven approach to reveal global vegetation sensitivity to climate

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