Big Data Mining for Smart Cities: Predicting Traffic Congestion using Classification. - Aristeidis Mystakidis; Christos Tjortjis (IISA, 2020)

Data Mining for Smart Cities: Traffic Congestion Prediction. - Aristeidis Mystakidis; Olga Geromichalou; Christos Tjortjis (IISA, 2023)

A Tri-Model Prediction Approach for COVID-19 ICU Bed Occupancy: A Case Study. - Nikolaos Stasinos; Anestis Kousis; Vangelis Sarlis; Aristeidis Mystakidis; Dimitris Rousidis; Paraskevas Koukaras; Ioannis Kotsiopoulos; Christos Tjortjis (Algorithms, 2023)

Energy generation forecasting: elevating performance with machine and deep learning. - Aristeidis Mystakidis; Evangelia Ntozi; Konstantinos Afentoulis; Paraskevas Koukaras; Paschalis Gkaidatzis; Dimosthenis Ioannidis; Christos Tjortjis; Dimitrios Tzovaras (Computing, 2023)

Energy load forecasting: one-step ahead hybrid model utilizing ensembling. - Nikos Tsalikidis; Aristeidis Mystakidis; Christos Tjortjis; Paraskevas Koukaras; Dimosthenis Ioannidis (Computing, 2024)

Continual Error Correction on Low-Resource Devices. - Kirill Paramonov; Mete Ozay; Aristeidis Mystakidis; Nikolaos Tsalikidis; Dimitrios Sotos; Anastasios Drosou; Dimitrios Tzovaras; Hyunjun Kim; Kiseok Chang; Sangdok Mo; Namwoong Kim; Woojong Yoo; et al. (MMSys, 2025)