Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison. - Eva Chondrodima; Petros Mandalis; Nikos Pelekis; Yannis Theodoridis (MDM, 2022)

Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison. - Petros Mandalis; Eva Chondrodima; Yannis Kontoulis; Nikos Pelekis; Yannis Theodoridis (MDM, 2022)

Towards a Unified Vessel Traffic Flow Forecasting Framework. - Petros Mandalis; Eva Chondrodima; Yannis Kontoulis; Nikos Pelekis; Yannis Theodoridis (EDBT/ICDT Workshops, 2023)

KANB: A Family of Parametric Activation Functions With Trainable Parameters. - George Kanakoudis; Petros Mandalis; Nikolaos Pelekis (IEEE Access, 2025)

A transformer-based method for vessel traffic flow forecasting. - Petros Mandalis; Eva Chondrodima; Yannis Kontoulis; Nikos Pelekis; Yannis Theodoridis (GeoInformatica, 2025)