2 citations · 2 across the 6 of their papers we have counts for
6 papers
Towards Data-driven Nitrogen Estimation in Wheat Fields using Multispectral Images
Andreas Tritsarolis, Tomaž Bokan, Matej Brumen +2
The modernization of agriculture has motivated the development of advanced analytics and decision-support systems to improve resource utilization and reduce environmental impacts.…
On Electric Vehicle Energy Demand Forecasting and the Effect of Federated Learning
Andreas Tritsarolis, Gil Sampaio, Nikos Pelekis +1
The wide spread of new energy resources, smart devices, and demand side management strategies has motivated several analytics operations, from infrastructure load modeling to user…
Bikelution: Federated Gradient-Boosting for Scalable Shared Micro-Mobility Demand Forecasting
Antonios Tziorvas, Andreas Tritsarolis, Yannis Theodoridis
The rapid growth of dockless bike-sharing systems has generated massive spatio-temporal datasets useful for fleet allocation, congestion reduction, and sustainable mobility. Bike d…
FLP-XR: Future Location Prediction on Extreme Scale Maritime Data in Real-time
George S. Theodoropoulos, Andreas Patakis, Andreas Tritsarolis +1
Movements of maritime vessels are inherently complex and challenging to model due to the dynamic and often unpredictable nature of maritime operations. Even within structured marit…
On Vessel Location Forecasting and the Effect of Federated Learning
Andreas Tritsarolis, Nikos Pelekis, Konstantina Bereta +2
The wide spread of Automatic Identification System (AIS) has motivated several maritime analytics operations. Vessel Location Forecasting (VLF) is one of the most critical operatio…
Online Co-movement Pattern Prediction in Mobility Data
Andreas Tritsarolis, Eva Chondrodima, Panagiotis Tampakis +1
Predictive analytics over mobility data are of great importance since they can assist an analyst to predict events, such as collisions, encounters, traffic jams, etc. A typical exa…