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Vasileios Sitokonstantinou
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2020 – today
- 2024
- [c9]Alkiviadis Koukos, Hyun-Woo Jo, Vasileios Sitokonstantinou, Ilias Tsoumas, Charalampos Kontoes, Woo-Kyun Lee:
Towards Global Crop Maps with Transfer Learning. IGARSS 2024: 1540-1545 - [c8]Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls:
Assessing the Causal Impact of Humanitarian Aid on Food Security. IGARSS 2024: 1546-1552 - [i15]Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou, Thanassis Drivas, Charalampos Kontoes:
Cloud gap-filling with deep learning for improved grassland monitoring. CoRR abs/2403.09554 (2024) - [i14]Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls:
Large Language Models for Constrained-Based Causal Discovery. CoRR abs/2406.07378 (2024) - [i13]Vasileios Sitokonstantinou, Emiliano Díaz Salas Porras, Jordi Cerdà-Bautista, Maria Piles, Ioannis Athanasiadis, Hannah Kerner, Giulia Martini, Lily-belle Sweet, Ilias Tsoumas, Jakob Zscheischler, Gustau Camps-Valls:
Causal machine learning for sustainable agroecosystems. CoRR abs/2408.13155 (2024) - 2023
- [c7]Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis:
Evaluating Digital Agriculture Recommendations with Causal Inference. AAAI 2023: 14514-14522 - [i12]Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls:
Evaluating the Impact of Humanitarian Aid on Food Security. CoRR abs/2310.11287 (2023) - [i11]Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis Athanasiadis:
Causality and Explainability for Trustworthy Integrated Pest Management. CoRR abs/2312.04343 (2023) - 2022
- [b1]Vasileios Sitokonstantinou:
Big earth data and machine learning for sustainable and resilient agriculture. National Technical University of Athens, Greece, 2022 - [j4]Maria Ioannidou, Alkiviadis Koukos
, Vasileios Sitokonstantinou
Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification. Remote. Sens. 14(22): 5739 (2022) - [c6]Georgios Giannarakis
Towards assessing agricultural land suitability with causal machine learning. CVPR Workshops 2022: 1441-1451 - [c5]George Choumos, Alkiviadis Koukos, Vasileios Sitokonstantinou
Towards Space-to-Ground Data Availability for Agriculture Monitoring. IVMSP 2022: 1-5 - [c4]Thanassis Drivas, Vasileios Sitokonstantinou
A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring. IVMSP 2022: 1-5 - [c3]Ornela Nanushi, Vasileios Sitokonstantinou
Pest Presence Prediction Using Interpretable Machine Learning. IVMSP 2022: 1-5 - [c2]Vasileios Sitokonstantinou
DataCAP: A Satellite Datacube and Crowdsourced Street-Level Images for the Monitoring of the Common Agricultural Policy. MMM (2) 2022: 473-478 - [i10]Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes:
Towards assessing agricultural land suitability with causal machine learning. CoRR abs/2204.12956 (2022) - [i9]George Choumos, Alkiviadis Koukos, Vasileios Sitokonstantinou
Towards Space-to-Ground Data Availability for Agriculture Monitoring. CoRR abs/2205.07721 (2022) - [i8]Ornela Nanushi, Vasileios Sitokonstantinou
Pest presence prediction using interpretable machine learning. CoRR abs/2205.07723 (2022) - [i7]Thanassis Drivas, Vasileios Sitokonstantinou
A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring. CoRR abs/2205.07752 (2022) - [i6]Georgios Giannarakis, Vasileios Sitokonstantinou
Personalizing Sustainable Agriculture with Causal Machine Learning. CoRR abs/2211.03179 (2022) - [i5]Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou
Evaluating Digital Tools for Sustainable Agriculture using Causal Inference. CoRR abs/2211.03195 (2022) - [i4]Hyun-Woo Jo, Alkiviadis Koukos, Vasileios Sitokonstantinou
Towards Global Crop Maps with Transfer Learning. CoRR abs/2211.04755 (2022) - [i3]Vasileios Sitokonstantinou:
Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture. CoRR abs/2211.12584 (2022) - [i2]Vasileios Sitokonstantinou, Alkiviadis Koukos, Ilias Tsoumas, Nikolaos S. Bartsotas, Charalampos Kontoes, Vassilia Karathanassi:
Fuzzy clustering for the within-season estimation of cotton phenology. CoRR abs/2211.14099 (2022) - [i1]Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis:
Evaluating Digital Agriculture Recommendations with Causal Inference. CoRR abs/2211.16938 (2022) - 2021
- [j3]Vasileios Sitokonstantinou
A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data. Remote. Sens. 13(9): 1769 (2021) - [j2]Maria Rousi, Vasileios Sitokonstantinou
Semantically Enriched Crop Type Classification and Linked Earth Observation Data to Support the Common Agricultural Policy Monitoring. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 529-552 (2021) - [c1]Vasileios Sitokonstantinou
Semi-Supervised Phenology Estimation in Cotton Parcels with Sentinel-2 Time-Series. IGARSS 2021: 8491-8494
2010 – 2019
- 2018
- [j1]Vasileios Sitokonstantinou
Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy. Remote. Sens. 10(6): 911 (2018)
Coauthor Index
aka: Charalampos Kontoes
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