Vasileios Sitokonstantinou

According to our database, Vasileios Sitokonstantinou authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Causal machine learning for sustainable agroecosystems.

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

CoRR, 2024

Large Language Models for Constrained-Based Causal Discovery.

Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls

CoRR, 2024

Cloud gap-filling with deep learning for improved grassland monitoring.

Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou, Thanassis Drivas, Charalampos Kontoes

CoRR, 2024

Towards Global Crop Maps with Transfer Learning.

Alkiviadis Koukos, Hyun-Woo Jo, Vasileios Sitokonstantinou, Ilias Tsoumas, Charalampos Kontoes, Woo-Kyun Lee

Proceedings of the IGARSS 2024, 2024

Assessing the Causal Impact of Humanitarian Aid on Food Security.

Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls

Proceedings of the IGARSS 2024, 2024

2023

Causality and Explainability for Trustworthy Integrated Pest Management.

Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis Athanasiadis

CoRR, 2023

Evaluating the Impact of Humanitarian Aid on Food Security.

Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls

CoRR, 2023

Evaluating Digital Agriculture Recommendations with Causal Inference.

Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Big earth data and machine learning for sustainable and resilient agriculture

Vasileios Sitokonstantinou

PhD thesis, 2022

Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification.

Maria Ioannidou, Alkiviadis Koukos, Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes

Remote. Sens., 2022

Fuzzy clustering for the within-season estimation of cotton phenology.

Vasileios Sitokonstantinou, Alkiviadis Koukos, Ilias Tsoumas, Nikolaos S. Bartsotas, Charalampos Kontoes, Vassilia Karathanassi

CoRR, 2022

Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture.

Vasileios Sitokonstantinou

CoRR, 2022

Towards Global Crop Maps with Transfer Learning.

Hyun-Woo Jo, Alkiviadis Koukos, Vasileios Sitokonstantinou, Woo-Kyun Lee, Charalampos Kontoes

CoRR, 2022

Evaluating Digital Tools for Sustainable Agriculture using Causal Inference.

Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis

CoRR, 2022

Personalizing Sustainable Agriculture with Causal Machine Learning.

Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes

CoRR, 2022

DataCAP: A Satellite Datacube and Crowdsourced Street-Level Images for the Monitoring of the Common Agricultural Policy.

Vasileios Sitokonstantinou, Alkiviadis Koukos, Thanassis Drivas, Charalampos Kontoes, Vassilia Karathanassi

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Pest Presence Prediction Using Interpretable Machine Learning.

Ornela Nanushi, Vasileios Sitokonstantinou, Ilias Tsoumas, Charalampos Kontoes

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring.

Thanassis Drivas, Vasileios Sitokonstantinou, Iason Tsardanidis, Alkiviadis Koukos, Charalampos Kontoes, Vassilia Karathanassi

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Towards Space-to-Ground Data Availability for Agriculture Monitoring.

George Choumos, Alkiviadis Koukos, Vasileios Sitokonstantinou, Charalampos Kontoes

Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Towards assessing agricultural land suitability with causal machine learning.

Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

Semantically Enriched Crop Type Classification and Linked Earth Observation Data to Support the Common Agricultural Policy Monitoring.

Maria Rousi, Vasileios Sitokonstantinou, Georgios Meditskos, Ioannis Papoutsis, Ilias Gialampoukidis, Alkiviadis Koukos, Vassilia Karathanassi, Thanassis Drivas, Stefanos Vrochidis, Charalampos Kontoes, Ioannis Kompatsiaris

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data.

Vasileios Sitokonstantinou, Alkiviadis Koukos, Thanassis Drivas, Charalampos Kontoes, Ioannis Papoutsis, Vassilia Karathanassi

Remote. Sens., 2021

Semi-Supervised Phenology Estimation in Cotton Parcels with Sentinel-2 Time-Series.

Vasileios Sitokonstantinou, Alkiviadis Koukos, Charalampos Kontoes, Nikolaos S. Bartsotas, Vassilia Karathanassi

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

2018

Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy.

Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes, Alberto Lafarga Arnal, Ana Pilar Armesto Andrés, José Angel Garraza Zurbano

Remote. Sens., 2018