12 citations · 23 across the 12 of their papers we have counts for
10 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…
Outlier detection in maritime environments using AIS data and deep recurrent architectures
Constantine Maganaris, Eftychios Protopapadakis, Nikolaos Doulamis
A methodology based on deep recurrent models for maritime surveillance, over publicly available Automatic Identification System (AIS) data, is presented in this paper. The setup em…
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…
Ensemble learning for blending gridded satellite and gauge-measured precipitation data
Georgia Papacharalampous, Hristos Tyralis, Nikolaos Doulamis +1
Regression algorithms are regularly used for improving the accuracy of satellite precipitation products. In this context, satellite precipitation and topography data are the predic…
Solar Power driven EV Charging Optimization with Deep Reinforcement Learning
Stavros Sykiotis, Christoforos Menos-Aikateriniadis, Anastasios Doulamis +2
Power sector decarbonization plays a vital role in the upcoming energy transition towards a more sustainable future. Decentralized energy resources, such as Electric Vehicles (EV)…
Assessing the Lockdown Effects on Air Quality during COVID-19 Era
Ioannis Kavouras, Eftychios Protopapadakis, Maria Kaselimia +2
In this work we investigate the short-term variations in air quality emissions, attributed to the prevention measures, applied in different cities, to mitigate the COVID-19 spread.…