activity
20162024
most citedTensor-Based Classifiers for Hyperspectral Data Analysis

125 citations · 314 across the 30 of their papers we have counts for

collaborators

31 papers

cs.LG2024★ 2 cited

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…

cs.LG2024★ 11 cited

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…

cs.DB2024

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…

cs.AI2024

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…

cs.LG2024★ 1 cited

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…

cs.CV2024

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…