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Vasileios Sitokonstantinou
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Scalable crop classification using Sentinel-2 time-series for monitoring the Common Agricultural Policy
V Sitokonstantinou, I Papoutsis, C Kontoes, A Lafarga Arnal, ...
Remote Sensing - An open-access journal, 2018
118*2018
Semantically enriched crop type classification and linked earth observation data to support the common agricultural policy monitoring
M Rousi, V Sitokonstantinou, G Meditskos, I Papoutsis, I Gialampoukidis, ...
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2020
272020
Towards assessing agricultural land suitability with causal machine learning
G Giannarakis, V Sitokonstantinou, RS Lorilla, C Kontoes
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
202022
Assessing the added value of Sentinel-1 PolSAR data for crop classification
M Ioannidou, A Koukos, V Sitokonstantinou, I Papoutsis, C Kontoes
Remote Sensing 14 (22), 5739, 2022
192022
A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data
V Sitokonstantinou, A Koukos, T Drivas, C Kontoes, I Papoutsis, ...
Remote Sensing 13 (9), 1769, 2021
192021
Evaluating Digital Agriculture Recommendations with Causal Inference
I Tsoumas, G Giannarakis, V Sitokonstantinou, A Koukos, D Loka, ...
In Thirty-Seventh AAAI conference on artificial intelligence, 2022
15*2022
DataCAP: A Satellite Datacube and Crowdsourced Street-level Images for the Monitoring of the Common Agricultural Policy
V Sitokonstantinou, A Koukos, T Drivas, C Kontoes, V Karathanassi
28th International Conference on Multimedia Modeling 13142 (doi.org/10.1007 …, 2022
14*2022
Personalizing sustainable agriculture with causal machine learning
G Giannarakis, V Sitokonstantinou, RS Lorilla, C Kontoes
In NeurIPS Workshop Climate Change AI, 2022
132022
Large Language Models for Constrained-Based Causal Discovery
KH Cohrs, G Varando, E Diaz, V Sitokonstantinou, G Camps-Valls
In AAAI Workshop 'Are Large Language Models Simply Causal Parrots?', 2024
112024
Scalable distributed Random Forest for paddy rice mapping
V Sitokonstantinou, T Drivas, A Koukos, I Papoutsis, C Kontoes
40th Asian Conference on Remote Sensing (ACRS 2019) 2, 836-845, 2019
112019
Fuzzy clustering for the within-season estimation of cotton phenology
V Sitokonstantinou, A Koukos, I Tsoumas, NS Bartsotas, C Kontoes, ...
Plos one 18 (3), e0282364, 2023
10*2023
DC circuit breakers and their use in HVDC grids
N Kostoulas, V Sitokonstantinou, M Idris, P Sterling, S Sayed, P Karaiskos
Imperial College, London, UK, 2012
102012
A Sentinel based agriculture monitoring scheme for the control of the CAP and food security
V Sitokonstantinou, A Koutroumpas, T Drivas, A Koukos, V Karathanassi, ...
Eighth International Conference on Remote Sensing and Geoinformation of the …, 2020
92020
Recurrent U-Net based dynamic paddy rice mapping in South Korea with enhanced data compatibility to support agricultural decision making
HW Jo, E Park, V Sitokonstantinou, J Kim, S Lee, A Koukos, WK Lee
GIScience & Remote Sensing 60 (1), 2206539, 2023
82023
Pest presence prediction using interpretable machine learning
O Nanushi, V Sitokonstantinou, I Tsoumas, C Kontoes
2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022
82022
Towards Global Crop Maps with Transfer Learning
HW Jo, A Koukos, V Sitokonstantinou, WK Lee, C Kontoes
In NeurIPS Workshop Climate Change AI, 2022
42022
Causal discovery reveals complex patterns of drought-induced displacement
JM Tárraga, E Sevillano-Marco, J Muñoz-Marí, M Piles, ...
IScience 27 (9), 2024
22024
Assessing the Causal Impact of Humanitarian Aid on Food Security
J Cerdà-Bautista, JM Tárraga, V Sitokonstantinou, G Camps-Valls
IGARSS 2024-2024 IEEE International Geoscience and Remote Sensing Symposium …, 2024
2*2024
Causality and explainability for trustworthy integrated pest management
I Tsoumas, V Sitokonstantinou, G Giannarakis, E Lampiri, C Athanassiou, ...
In NeurIPS Workshop Climate Change AI, 2023
22023
Large language models for causal hypothesis generation in science
KH Cohrs, E Diaz, V Sitokonstantinou, G Varando, G Camps-Valls
Machine Learning: Science and Technology 6 (1), 013001, 2025
2025
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