2 papers
q-fin.PM2025
From On-chain to Macro: Assessing the Importance of Data Source Diversity in Cryptocurrency Market Forecasting
Giorgos Demosthenous, Chryssis Georgiou, Eliada Polydorou
This study investigates the impact of data source diversity on the performance of cryptocurrency forecasting models by integrating various data categories, including technical indi…
cs.LG2021
Continual Learning on the Edge with TensorFlow Lite
Giorgos Demosthenous, Vassilis Vassiliades
Deploying sophisticated deep learning models on embedded devices with the purpose of solving real-world problems is a struggle using today's technology. Privacy and data limitation…