Trajectory Detection and Summarization over Surveillance Data Streams
Patroumpas K, Chondrodima E, Pelekis N, Theodoridis Y, Big Data Analytics for Time-Critical Mobility Forecasting pp 85–120.
Public Transport Arrival Time Prediction Based on GTFS Data
Chondrodima E, Georgiou H, Pelekis N, Theodoridis Y, Lecture Notes in Computer Science (LOD 2021), vol 13164. Springer, Cham, pp. 481–495.
Social Spatio-temporal Keyword Pattern (S²KP) Queries in Multiple Aspect Trajectories Databases
Gryllakis F, Pelekis N, Doulkeridis C, Varlamis I, Theodoridis Y, SSDBM '22: Proceedings of the 34th International Conference on Scientific and Statistical Database Management, July 2022, Article No.: 8, Pages 1–12.
Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison
Mandalis P, Chondrodima E, Kontoulis Y, Pelekis N, Theodoridis Y, 23rd IEEE International Conference on Mobile Data Management (MDM), Year: 2022, Pages: 431-436.
Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach
Tritsarolis A, Chondrodima E, Pelekis N, Theodoridis Y, 23rd IEEE International Conference on Mobile Data Management (MDM), Year: 2022, Pages: 425-430.
Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison
Chondrodima E, Mandalis P, Pelekis N, Theodoridis Y, 23rd IEEE International Conference on Mobile Data Management (MDM), Year: 2022, Pages: 262-269.
Predicting Co-movement patterns in mobility data
Tritsarolis A, Chondrodima E, Tampakis P, Pikrakis A, Theodoridis Y, GeoInformatica, Volume 28, pages 221–243
Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data
Chondrodima E, Georgiou H, Pelekis N, Theodoridis Y, International Journal of Information Management Data Insights, Volume 2, Issue 2, 100086.
Data Driven Digital Twins for the Maritime Domain
Troupiotis-Kapeliaris A, Zygouras N, Kaliorakis M, Mouzakitis S, Tsapelas G, Artikis A, Chondrodima E, Theodoridis Y, Zissis D, Progress in Marine Science and Technology, Volume 6: Technology and Science for the Ships of the Future, 744 - 751.