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)

Semi-Supervised Phenology Estimation in Cotton Parcels with Sentinel-2 Time-Series. - Vasileios Sitokonstantinou; Alkiviadis Koukos; Charalampos Kontoes; Nikolaos S. Bartsotas; Vassilia Karathanassi (IGARSS, 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)

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)

Towards assessing agricultural land suitability with causal machine learning. - Georgios Giannarakis; Vasileios Sitokonstantinou; Roxanne Suzette Lorilla; Charalampos Kontoes (CVPR Workshops, 2022)

Towards Space-to-Ground Data Availability for Agriculture Monitoring. - George Choumos; Alkiviadis Koukos; Vasileios Sitokonstantinou; Charalampos Kontoes (IVMSP, 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 (IVMSP, 2022)

Pest Presence Prediction Using Interpretable Machine Learning. - Ornela Nanushi; Vasileios Sitokonstantinou; Ilias Tsoumas; Charalampos Kontoes (IVMSP, 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 (MMM (2), 2022)

Personalizing Sustainable Agriculture with Causal Machine Learning. - Georgios Giannarakis; Vasileios Sitokonstantinou; Roxanne Suzette Lorilla; 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)

Towards Global Crop Maps with Transfer Learning. - Hyun-Woo Jo; Alkiviadis Koukos; Vasileios Sitokonstantinou; Woo-Kyun Lee; Charalampos Kontoes (CoRR, 2022)

Big Earth Data and Machine Learning for Sustainable and Resilient Agriculture. - Vasileios Sitokonstantinou (CoRR, 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)

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)

Big earth data and machine learning for sustainable and resilient agriculture - Vasileios Sitokonstantinou (2022)

Evaluating Digital Agriculture Recommendations with Causal Inference. - Ilias Tsoumas; Georgios Giannarakis; Vasileios Sitokonstantinou; Alkiviadis Koukos; Dimitra Loka; Nikolaos S. Bartsotas; Charalampos Kontoes; Ioannis Athanasiadis (AAAI, 2023)

Evaluating the Impact of Humanitarian Aid on Food Security. - Jordi Cerdà-Bautista; José María Tárraga; Vasileios Sitokonstantinou; Gustau Camps-Valls (CoRR, 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)

Assessing the Causal Impact of Humanitarian Aid on Food Security. - Jordi Cerdà-Bautista; José María Tárraga; Vasileios Sitokonstantinou; Gustau Camps-Valls (IGARSS, 2024)

Towards Global Crop Maps with Transfer Learning. - Alkiviadis Koukos; Hyun-Woo Jo; Vasileios Sitokonstantinou; Ilias Tsoumas; Charalampos Kontoes; Woo-Kyun Lee (IGARSS, 2024)

Large Language Models for Constrained-Based Causal Discovery. - Kai-Hendrik Cohrs; Gherardo Varando; Emiliano Diaz; Vasileios Sitokonstantinou; Gustau Camps-Valls (CoRR, 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)

Cloud gap-filling with deep learning for improved grassland monitoring. - Iason Tsardanidis; Alkiviadis Koukos; Vasileios Sitokonstantinou; Thanassis Drivas; Charalampos Kontoes (Comput. Electron. Agric., 2025)

Large language models for causal hypothesis generation in science. - Kai-Hendrik Cohrs; Emiliano Diaz; Vasileios Sitokonstantinou; Gherardo Varando; Gustau Camps-Valls (Mach. Learn. Sci. Technol., 2025)

Positive-Unlabeled Learning for Control Group Construction in Observational Causal Inference. - Ilias Tsoumas; Dimitrios Bormpoudakis; Vasileios Sitokonstantinou; Athanasios Askitopoulos; Andreas Kalogeras; Charalampos Kontoes; Ioannis Athanasiadis (CoRR, 2025)