Dynamic graph management for streaming social media analytics. - Christos Vlassopoulos; Ioannis Kontopoulos; Michail Apostolou; Alexander Artikis; Dimitrios Vogiatzis (DEBS, 2016)

Distributing N-Gram Graphs for Classification. - Ioannis Kontopoulos; George Giannakopoulos; Iraklis Varlamis (ADBIS (Short Papers and Workshops), 2017)

Countering Real-Time Stream Poisoning: An Architecture for Detecting Vessel Spoofing in Streams of AIS Data. - Ioannis Kontopoulos; Giannis Spiliopoulos; Dimitrios Zissis; Konstantinos Chatzikokolakis 002; Alexander Artikis (DASC/PiCom/DataCom/CyberSciTech, 2018)

Composite Event Patterns for Maritime Monitoring. - Manolis Pitsikalis; Ioannis Kontopoulos; Alexander Artikis; Elias Alevizos; Paul Delaunay; Jules-Edouard Pouessel; Richard Dreo; Cyril Ray; Elena Camossi; Anne-Laure Jousselme; Melita Hadzagic (SETN, 2018)

A Stream Reasoning System for Maritime Monitoring. - Georgios M. Santipantakis; Akrivi Vlachou; Christos Doulkeridis; Alexander Artikis; Ioannis Kontopoulos; George A. Vouros (TIME, 2018)

Uncovering Hidden Concepts from AIS Data: A Network Abstraction of Maritime Traffic for Anomaly Detection. - Ioannis Kontopoulos; Iraklis Varlamis; Konstantinos Tserpes (MASTER@PKDD/ECML, 2019)

Classification of vessel activity in streaming data. - Ioannis Kontopoulos; Konstantinos Chatzikokolakis 002; Konstantinos Tserpes; Dimitris Zissis (DEBS, 2020)

COVID-19 detection from chest X-Ray images using Deep Learning and Convolutional Neural Networks. - Antonios Makris; Ioannis Kontopoulos; Konstantinos Tserpes (SETN, 2020)

Real-time maritime anomaly detection: detecting intentional AIS switch-off. - Ioannis Kontopoulos; Konstantinos Chatzikokolakis 002; Dimitris Zissis; Konstantinos Tserpes; Giannis Spiliopoulos (Int. J. Big Data Intell., 2020)

Data Driven Fleet Monitoring and Circular Economy. - Fotis Oikonomou; Alzahraa Alhaddad; Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes; Panagiota Arampatzi; Marc Bonazountas; Hernan Ruiz-Ocampo; Giorgos Demetriou; Vlatka Katusic; Dariusz Dober (DCOSS, 2021)

Semi-supervised trajectory classification using convolutional auto-encoders. - Antonios Makris; Ioannis Kontopoulos; Evangelos Psomakelis; Konstantinos Tserpes (HANIMOB@SIGSPATIAL, 2021)

A computer vision approach for trajectory classification. - Ioannis Kontopoulos; Antonios Makris; Dimitris Zissis; Konstantinos Tserpes (MDM, 2021)

A Comparison of Trajectory Compression Algorithms Over AIS Data. - Antonios Makris; Ioannis Kontopoulos; Panagiotis Alimisis; Konstantinos Tserpes (IEEE Access, 2021)

Building navigation networks from multi-vessel trajectory data. - Iraklis Varlamis; Ioannis Kontopoulos; Konstantinos Tserpes; Mohammad Etemad; Amílcar Soares Júnior 001; Stan Matwin (GeoInformatica, 2021)

A distributed framework for extracting maritime traffic patterns. - Ioannis Kontopoulos; Iraklis Varlamis; Konstantinos Tserpes (Int. J. Geogr. Inf. Sci., 2021)

A Deep Learning Streaming Methodology for Trajectory Classification. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes (ISPRS Int. J. Geo Inf., 2021)

FRAME 2022: The 2nd Workshop on Flexible Resource and Application Management on the Edge. - Luca Ferrucci; Massimo Coppola; Hanna Kavalionak; Ioannis Kontopoulos (HPDC, 2022)

Benchmarking moving object functionalities of DBMSs using real-world spatiotemporal workload. - Ioannis Kontopoulos; Antonios Makris; Stylianos Nektarios Xyalis; Konstantinos Tserpes (MDM, 2022)

TraClets: Harnessing the power of computer vision for trajectory classification. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes; Vania Bogorny (CoRR, 2022)

Real-time mobility data analytics: methodologies for efficient anomaly detection and trajectory classification - Ioannis Kontopoulos (2022)

A real-time trajectory classification module. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes (EMODE@SIGSPATIAL, 2023)

Multi-Service Demand Forecasting Using Graph Neural Networks. - Theodoros Theodoropoulos; Antonios Makris; Ioannis Kontopoulos; Angelos-Christos Maroudis; Konstantinos Tserpes (SOSE, 2023)

An evaluation of time series forecasting models on water consumption data: A case study of Greece. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes; Theodora A. Varvarigou (CoRR, 2023)

Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study. - Theodoros Theodoropoulos; Antonios Makris; Ioannis Kontopoulos; John Violos; Przemyslaw Tarkowski; Zbyszek Ledwon; Patrizio Dazzi; Konstantinos Tserpes (Int. J. Inf. Manag. Data Insights, 2023)

TraClets: A trajectory representation and classification library. - Ioannis Kontopoulos; Antonios Makris; Konstantinos Tserpes (SoftwareX, 2023)

Optimizing Resource Allocation in the Edge: A Minimum Weighted Vertex Cover Approach. - Antonios Makris; Emmanouil Maragkoudakis; Ioannis Kontopoulos; Theodoros Theodoropoulos; Ioannis Korontanis; Emanuele Carlini; Matteo Mordacchini; Patrizio Dazzi; Theodora A. Varvarigou (FRAME@HPDC, 2024)

A spatio-temporal matrix representation for trajectory classification. - Ioannis Kontopoulos; Iraklis Varlamis; Antonios Makris; Konstantinos Tserpes (SIGSPATIAL/GIS, 2024)

Edge-driven Docker registry: facilitating XR application deployment. - Antonios Makris; Evangelos Psomakelis; Ioannis Korontanis; Theodoros Theodoropoulos; Ioannis Kontopoulos; Maria Pateraki; Christos Diou; Konstantinos Tserpes (Computing, 2024)