Evaluating digital agriculture recommendations with causal inference I Tsoumas, G Giannarakis, V Sitokonstantinou, A Koukos, D Loka, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14514 …, 2023 | 6* | 2023 |
Pest presence prediction using interpretable machine learning O Nanushi, V Sitokonstantinou, I Tsoumas, C Kontoes 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop …, 2022 | 4 | 2022 |
Modelling 5G cloud-native applications by exploiting the service mesh paradigm I Tsoumas, C Symvoulidis, D Kyriazis, P Gouvas, A Zafeiropoulos, ... Information Systems: 16th European, Mediterranean, and Middle Eastern …, 2020 | 3 | 2020 |
Towards the identification of context in 5g infrastructures C Symvoulidis, I Tsoumas, D Kyriazis Intelligent Computing: Proceedings of the 2019 Computing Conference, Volume …, 2019 | 3 | 2019 |
Fuzzy clustering for the within-season estimation of cotton phenology V Sitokonstantinou, A Koukos, I Tsoumas, NS Bartsotas, C Kontoes, ... Plos one 18 (3), e0282364, 2023 | 2 | 2023 |
Learning a generalized matrix from multi-graphs topologies towards microservices recommendations I Tsoumas, C Symvoulidis, D Kyriazis Intelligent Systems and Applications: Proceedings of the 2020 Intelligent …, 2021 | 2 | 2021 |
Causality and Explainability for Trustworthy Integrated Pest Management I Tsoumas, V Sitokonstantinou, G Giannarakis, E Lampiri, C Athanassiou, ... NeurIPS 2023 Workshop: Tackling Climate Change with Machine Learning, 2023 | | 2023 |
Understanding the impacts of crop diversification in the context of climate change: a machine learning approach G Giannarakis, I Tsoumas, S Neophytides, C Papoutsa, C Kontoes, ... The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2023 | | 2023 |
Συλλογή δεδομένων και εξόρυξη γνώσης από κοινωνικά δίκτυα: εφαρμογή data analysis τεχνικών σε σύνολα δεδομένων από το κοινωνικό δίκτυο Twitter Η Τσούμας Πανεπιστήμιο Πειραιώς, 2016 | | 2016 |