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Dr. Georgios Spanos -
Publications

Journals

  1. G. Aivatoglou, M. Anastasiadis, G. Spanos, A. Voulgaridis, K. Votis, D. Tzovaras, L. Angelis, "A RAkEL-based methodology to estimate software vulnerability characteristics & score - an application to EU project ECHO.", Multimedia Tools and Applications, vol. 81, no. 7, pp. 9459-9479, 2022. doi.org/10.1007/s11042-021-11073-x
  2. S. Polymeni, E. Athanasakis, G. Spanos, K. Votis, D. Tzovaras, "IoT-based prediction models in the environmental context: A systematic Literature Review.", Internet of Things, vol. 20, 2022. https://doi.org/10.1016/j.iot.2022.100612

Conference

  1. E. Athanasakis, Z. Sakellariou, G. Darzanos, S. Polymeni, G. Spanos, T. G. Papaioannou, K. Votis, D. Tzovaras, "Trustworthy Decentralized Management and Governance of Internet of Things Data Federations.", in Proceedings of the IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), November 2023, pp. 247-253.
  2. S. Polymeni, G. Spanos, D. Tsiktsiris, E. Athanasakis, K. Votis, D. Tzovaras, G. Kormentzas, "everWeather: A Low-Cost and Self-Powered AIoT Weather Forecasting Station for Remote Areas.", in Proceedings of the Environmental Informatics, October 2023, pages 141-158.
  3. A. Papadopoulos, A. Sersemis, G. Spanos, A. Lalas, C. Liaskos, K. Votis, D. Tzovaras, "Lightweight accident detection model for autonomous fleets based on GPS data.", in Proceedings of the Euro Working Group on Transportation (EWGT), September 2023, pp. 16-23.
  4. E. Antypas, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "A time-series approach for estimated time of arrival prediction in autonomous vehicles.", in Proceedings of the Euro Working Group on Transportation (EWGT), September 2023, pp. 166-173.
  5. A. Sersemis, A. Papadopoulos, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "Cybersecurity Oriented Architecture to Ensure the Autonomous Vehicles Communication.", in Proceedings of the 31st Mediterranean Conference on Control and Automation (MED), June 2023, pages 119-124.
  6. G. Aivatoglou, N. Oikonomou, G. Spanos, K. Livitckaia, K. Votis, D. Tzovaras, "EVENT: Real-time Video Feed Anomaly Detection for Enhanced Security in Autonomous Vehicles.", in Proceedings of the 31st Mediterranean Conference on Control and Automation (MED), June 2023, pages 119-124.
  7. E. Antypas, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "Estimated Time of Arrival in Autonomous Vehicles Using Gradient Boosting: Real-life case study in public transportation.", in Proceedings of the IEEE International Smart Cities Conference (ISC2), September 2022, pages, 1-7.
  8. M. Anastasiadis, G. Aivatoglou, G. Spanos, A. Voulgaridis, K. Votis, "Combining text analysis techniques with unsupervised machine learning methodologies for improved software vulnerability management.", in Proceedings of the IEEE International Conference on Cyber Security and Resilience (CSR), July 2022, pages 273-278.
  9. A. Sersemis, A. Papadopoulos, G. Spanos, A. Lalas, K. Votis, D. Tzovaras, "A Novel Cybersecurity Architecture for IoV Communication.", in Proceedings of the 25th Pan-Hellenic Conference on Informatics, November 2021, pages 357-361.
  10. G. Aivatoglou, M. Anastasiadis, G. Spanos, A. Voulgaridis, K. Votis, D. Tzovaras, "A tree-based machine learning methodology to automatically classify software vulnerabilities.", in Proceedings of the 2021 IEEE International Conference on Cyber Security and Resilience (CSR), July 2021, pp. 312-317.
  11. A. Ketsetsis, K. Giannoutakis, G. Spanos, N. Samaras, D. Hristu-Varsakelis, D. Thomas, D. Tzovaras, "A Comparative Study of Deep Learning Techniques for Financial Indices Prediction", In IFIP International Conference on Artificial Intelligence Applications and Innovations, pages 297-308, June 2021
  12. A. Ketsetsis, C. Kourounis, G. Spanos, K. Giannoutakis, P. Pavlidis, D. Vazakidis, T. Champeris, D. Thomas, D. Tzovaras, "Deep learning techniques for stock market prediction in the European union: a systematic review", In 2020 International Conference on Computational Science and Computational Intelligence (CSCI), pages 605-610, December 16-18, 2020, Las Vegas, USA.
  13. G. Spanos, K. Giannoutakis, K. Votis, B. Viano, J. Augusto-Gonzalez, G. Aivatoglou, D. Tzovaras, "A lightweight cyber-security defense framework for smart homes", In 2020 International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pages 1–7, 2020
  14. G. Spanos, K. Giannoutakis, K. Votis, D. Tzovaras, "Combining statistical and machine learning techniques in iot anomaly detection for smart homes", In 2019 IEEE 24th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), pages 1–6, Sep. 2019