Vasileios Sitokonstantinou

34 papers A* 1C 3Journal 24Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Cloud gap-filling with deep learning for improved grassland monitoring. Comput. Electron. Agric. Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou, Thanassis Drivas, Charalampos Kontoes
2025	J	`jnl`	Dimensionality Reduction for Remote Sensing Data Analysis: A Systematic Review of Methods and Applications. CoRR Nathan Mankovich, Kai-Hendrik Cohrs, Homer Durand, Vasileios Sitokonstantinou, Tristan Williams, Gustau Camps-Valls
2025	J	`jnl`	Large language models for causal hypothesis generation in science. Mach. Learn. Sci. Technol. Kai-Hendrik Cohrs, Emiliano Diaz, Vasileios Sitokonstantinou, Gherardo Varando, Gustau Camps-Valls
2025	J	`jnl`	Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference. CoRR Ilias Tsoumas, Dimitrios Bormpoudakis, Vasileios Sitokonstantinou, Athanasios Askitopoulos, Andreas Kalogeras, Charalampos Kontoes, Ioannis Athanasiadis
2025	J	`jnl`	SHRUG-FM: Reliability-Aware Foundation Models for Earth Observation. CoRR Kai-Hendrik Cohrs, Zuzanna Osika, Maria Gonzalez-Calabuig, Vishal Nedungadi, Ruben Cartuyvels, Steffen Knoblauch, Joppe Massant, Shruti Nath, Patrick Ebel, Vasileios Sitokonstantinou
2024	C	`conf`	Assessing the Causal Impact of Humanitarian Aid on Food Security. IGARSS Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls
2024	J	`jnl`	Causal machine learning for sustainable agroecosystems. CoRR 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
2024	J	`jnl`	Cloud gap-filling with deep learning for improved grassland monitoring. CoRR Iason Tsardanidis, Alkiviadis Koukos, Vasileios Sitokonstantinou, Thanassis Drivas, Charalampos Kontoes
2024	J	`jnl`	Large Language Models for Constrained-Based Causal Discovery. CoRR Kai-Hendrik Cohrs, Gherardo Varando, Emiliano Diaz, Vasileios Sitokonstantinou, Gustau Camps-Valls
2024	C	`conf`	Towards Global Crop Maps with Transfer Learning. IGARSS Alkiviadis Koukos, Hyun-Woo Jo, Vasileios Sitokonstantinou, Ilias Tsoumas, Charalampos Kontoes, Woo-Kyun Lee
2023	J	`jnl`	Causality and Explainability for Trustworthy Integrated Pest Management. CoRR Ilias Tsoumas, Vasileios Sitokonstantinou, Georgios Giannarakis, Evagelia Lampiri, Christos Athanassiou, Gustau Camps-Valls, Charalampos Kontoes, Ioannis Athanasiadis
2023	A*	`conf`	Evaluating Digital Agriculture Recommendations with Causal Inference. AAAI Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis
2023	J	`jnl`	Evaluating the Impact of Humanitarian Aid on Food Security. CoRR Jordi Cerdà-Bautista, José María Tárraga, Vasileios Sitokonstantinou, Gustau Camps-Valls
2022	—	`conf`	A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring. IVMSP Thanassis Drivas, Vasileios Sitokonstantinou, Iason Tsardanidis, Alkiviadis Koukos, Charalampos Kontoes, Vassilia Karathanassi
2022	J	`jnl`	A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring. CoRR Thanassis Drivas, Vasileios Sitokonstantinou, Iason Tsardanidis, Alkiviadis Koukos, Charalampos Kontoes, Vassilia Karathanassi
2022	J	`jnl`	Assessing the Added Value of Sentinel-1 PolSAR Data for Crop Classification. Remote. Sens. Maria Ioannidou, Alkiviadis Koukos, Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes
2022	J	`jnl`	Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture. CoRR Vasileios Sitokonstantinou
2022	—	`—`	Big earth data and machine learning for sustainable and resilient agriculture Vasileios Sitokonstantinou
2022	—	`conf`	DataCAP: A Satellite Datacube and Crowdsourced Street-Level Images for the Monitoring of the Common Agricultural Policy. MMM (2) Vasileios Sitokonstantinou, Alkiviadis Koukos, Thanassis Drivas, Charalampos Kontoes, Vassilia Karathanassi
2022	J	`jnl`	Evaluating Digital Agriculture Recommendations with Causal Inference. CoRR Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis
2022	J	`jnl`	Evaluating Digital Tools for Sustainable Agriculture using Causal Inference. CoRR Ilias Tsoumas, Georgios Giannarakis, Vasileios Sitokonstantinou, Alkiviadis Koukos, Dimitra Loka, Nikolaos S. Bartsotas, Charalampos Kontoes, Ioannis Athanasiadis
2022	J	`jnl`	Fuzzy clustering for the within-season estimation of cotton phenology. CoRR Vasileios Sitokonstantinou, Alkiviadis Koukos, Ilias Tsoumas, Nikolaos S. Bartsotas, Charalampos Kontoes, Vassilia Karathanassi
2022	J	`jnl`	Personalizing Sustainable Agriculture with Causal Machine Learning. CoRR Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes
2022	—	`conf`	Pest Presence Prediction Using Interpretable Machine Learning. IVMSP Ornela Nanushi, Vasileios Sitokonstantinou, Ilias Tsoumas, Charalampos Kontoes
2022	J	`jnl`	Pest presence prediction using interpretable machine learning. CoRR Ornela Nanushi, Vasileios Sitokonstantinou, Ilias Tsoumas, Charalampos Kontoes
2022	J	`jnl`	Towards Global Crop Maps with Transfer Learning. CoRR Hyun-Woo Jo, Alkiviadis Koukos, Vasileios Sitokonstantinou, Woo-Kyun Lee, Charalampos Kontoes
2022	—	`conf`	Towards Space-to-Ground Data Availability for Agriculture Monitoring. IVMSP George Choumos, Alkiviadis Koukos, Vasileios Sitokonstantinou, Charalampos Kontoes
2022	J	`jnl`	Towards Space-to-Ground Data Availability for Agriculture Monitoring. CoRR George Choumos, Alkiviadis Koukos, Vasileios Sitokonstantinou, Charalampos Kontoes
2022	—	`conf`	Towards assessing agricultural land suitability with causal machine learning. CVPR Workshops Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes
2022	J	`jnl`	Towards assessing agricultural land suitability with causal machine learning. CoRR Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, Charalampos Kontoes
2021	J	`jnl`	A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data. Remote. Sens. Vasileios Sitokonstantinou, Alkiviadis Koukos, Thanassis Drivas, Charalampos Kontoes, Ioannis Papoutsis, Vassilia Karathanassi
2021	J	`jnl`	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. Maria Rousi, Vasileios Sitokonstantinou, Georgios Meditskos, Ioannis Papoutsis, Ilias Gialampoukidis, Alkiviadis Koukos, Vassilia Karathanassi, Thanassis Drivas, Stefanos Vrochidis, Charalampos Kontoes, Ioannis Kompatsiaris
2021	C	`conf`	Semi-Supervised Phenology Estimation in Cotton Parcels with Sentinel-2 Time-Series. IGARSS Vasileios Sitokonstantinou, Alkiviadis Koukos, Charalampos Kontoes, Nikolaos S. Bartsotas, Vassilia Karathanassi
2018	J	`jnl`	Scalable Parcel-Based Crop Identification Scheme Using Sentinel-2 Data Time-Series for the Monitoring of the Common Agricultural Policy. Remote. Sens. Vasileios Sitokonstantinou, Ioannis Papoutsis, Charalampos Kontoes, Alberto Lafarga Arnal, Ana Pilar Armesto Andrés, José Angel Garraza Zurbano