Ilias Tsoumas

According to our database, Ilias Tsoumas authored at least 12 papers between 2019 and 2025.

Collaborative distances:

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

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, July, 2025

Mapping of Weed Management Methods in Orchards using Sentinel-2 and PlanetScope Data.

Ioannis Kontogiorgakis, Iason Tsardanidis, Dimitrios Bormpoudakis, Ilias Tsoumas, Dimitra Loka, Christos Noulas, Alexandros Tsitouras, Charalampos Kontoes

CoRR, April, 2025

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

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

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

Understanding the impacts of crop diversification in the context of climate change: a machine learning approach.

Georgios Giannarakis, Ilias Tsoumas, Stelios Neophytides, Christiana Papoutsa, Charalampos Kontoes, Diofantos G. Hadjimitsis

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

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

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

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

2020

Learning a Generalized Matrix from Multi-graphs Topologies Towards Microservices Recommendations.

Ilias Tsoumas, Chrysostomos Symvoulidis, Dimosthenis Kyriazis

Proceedings of the Intelligent Systems and Applications, 2020

2019

Modelling 5G Cloud-Native Applications by Exploiting the Service Mesh Paradigm.

Ilias Tsoumas, Chrysostomos Symvoulidis, Dimosthenis Kyriazis, Panagiotis Gouvas, Anastasios Zafeiropoulos, Javier Melian, Janez Sterle

Proceedings of the Information Systems, 2019