5 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis +1
To facilitate effective decision-making, precipitation datasets should include uncertainty estimates. Quantile regression with machine learning has been proposed for issuing such e…
Ocean-DC: An analysis ready data cube framework for environmental and climate change monitoring over the port areas
Ioannis Kavouras, Ioannis Rallis, Nikolaos Doulamis +1
The environmental hazards and climate change effects causes serious problems in land and coastal areas. A solution to this problem can be the periodic monitoring over critical area…
Multi-scale Intervention Planning based on Generative Design
Ioannis Kavouras, Ioannis Rallis, Emmanuel Sardis +3
The scarcity of green spaces, in urban environments, consists a critical challenge. There are multiple adverse effects, impacting the health and well-being of the citizens. Small s…
Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis +1
Predictions in the form of probability distributions are crucial for effective decision-making. Quantile regression enables such predictions within spatial prediction settings that…
Learning using privileged information for segmenting tumors on digital mammograms
Ioannis N. Tzortzis, Konstantinos Makantasis, Ioannis Rallis +3
Limited amount of data and data sharing restrictions, due to GDPR compliance, constitute two common factors leading to reduced availability and accessibility when referring to medi…