| 1 | Semantically enriched crop type classification and linked earth observation data to support the common agricultural policy monitoring | 2020 | 27 | |
| 2 | A scalable machine learning pipeline for paddy rice classification using multi-temporal sentinel data | 2021 | 19 | |
| 3 | A Scalable Machine Learning Pipeline for Paddy Rice Classification Using Multi-Temporal Sentinel Data | 2021 | 19 | |
| 4 | Scalable distributed random forest classification for paddy rice mapping | 2020 | 11 | |
| 5 | Scalable distributed random forest classification for paddy rice mapping Asian conference on remote sensing ACRS 2019 | 2019 | 11 | |
| 6 | A Sentinel based agriculture monitoring scheme for the control of the CAP and food security | 2021 | 9 | |
| 7 | A sentinel based agriculture monitoring scheme for the control of the cap and food security | 2020 | 9 | |
| 8 | Datacap: A satellite datacube and crowdsourced street-level images for the monitoring of the common agricultural policy | 2022 | 5 | |
| 9 | A Data Cube of Big Satellite Image Time-Series for Agriculture Monitoring | 2022 | 4 | |
| 10 | Introducing the Fundamentals of Artificial Intelligence to K-12 Classrooms According to Educational Neuroscience Principles | 2022 | 3 | |
| 11 | Cloud gap-filling with deep learning for improved grassland monitoring | 2024 | 0 | |
| 12 | An Earth Observation Data Ecosystem to Enhance Environmental Monitoring and Society’s Resilience in Cyprus and the EMMENA Region | 2024 | 0 | |
| 13 | REVEALING THE ROLE OF GEOSS AS THE DEFAULT DIGITAL PORTAL FOR BUILDING CLIMATE CHANGE ADAPTATION & MITIGATION APPLICATIONS | 2022 | 0 | |
| 14 | Deep Learning for Event Detection on Grasslands | 2021 | 0 | |
| 15 | H2020 EOPEN EASING COPERNICUS DATA & SERVICES EXPLOITATION | -1 | 0 | |
| 16 | The final version is available at: https://link. springer. com/conference/mmm | -1 | 0 | |
| 17 | SCALABLE DISTRIBUTED RANDOM FOREST CLASSIFICATION FOR PADDY RICE MAPPING ASIAN CONFERENCE ON REMOTE SENSING ACRS 2019 | -1 | 0 | |