Real-Time Equipment Health State Prediction with LSTM Networks and Bayesian Inference. - Afroditi Fouka; Alexandros Bousdekis; Katerina Lepenioti; Gregoris Mentzas (CAiSE Workshops, 2021)

A Machine Learning Framework for Li-Ion Battery Lifetime Prognostics. - Afroditi Fouka; Katerina Lepenioti; Alexandros Bousdekis; Gregoris Mentzas (IISA, 2022)

Modelling Data-Driven Digital Twins of EV Batteries for Predictive Analytics. - Afroditi Fouka; Katerina Lepenioti; Alexandros Bousdekis; Gregoris Mentzas (IISA, 2023)

SpotHitPy: A Study For ML-Based Song Hit Prediction Using Spotify. - Ioannis Dimolitsas; Spyridon Kantarelis; Afroditi Fouka (CoRR, 2023)

State of Charge Prediction of EV Li-ion Batteries with Machine Learning: A Comparative Analysis. - Afroditi Fouka; Alexandros Bousdekis; Katerina Lepenioti; Gregoris Mentzas (SETN, 2024)