Charalampos Kontoes — accepted AI-conference papers

2026

HighFM: Towards a Foundation Model for Learning Representations from High-Frequency Earth Observation Data

Stella Girtsou, Konstantinos Alexis, Giorgos Giannopoulos, Charalampos Kontoes

IJCAI 2026

The increasing frequency and severity of climate-related disasters have intensified the need for real-time monitoring, early warning, and informed decision-making. Earth Observation (EO), powered by satellite data and Machine Learning (ML), offers powerful tools to meet these challenges. Foundation

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2023

Evaluating Digital Agriculture Recommendations with Causal Inference

Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos Bartsotas +2

AAAI 2023technical

In contrast to the rapid digitalization of several industries, agriculture suffers from low adoption of smart farming tools. Even though recent advancements in AI-driven digital agriculture can offer high-performing predictive functionalities, they lack tangible quantitative evidence on their benefi…

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