Direction: Decision support & Crisis Classification

A Crisis Classification System for flood risk assessment: the beAWARE project

G. S. Antzoulatos, A. Karakostas, S. Vrochidis, F. Lombardo, D. Norbiato, M. Ferri, I. Kompatsiaris, "A Crisis Classification System for flood risk assessment: the beAWARE project", 2nd International Conference Citizen Observatories for natural hazards and Water Management (COWM 2018), 27-30 November 2018, Venezia, Italy.

Towards to integrate a multi-layer Machine Learning Data Fusion approach into Crisis Classification and Risk Assessment of extreme natural events

G. Antzoulatos, I. Koulalis, A. Karakostas, S. Vrochidis, I. Kompatsiaris, “Towards to integrate a multi-layer Machine Learning Data Fusion approach into Crisis Classification and Risk Assessment of extreme natural events”. In "Technology Development for Security Practitioners", edited by B. Akhgar, D. Kavallieros, E. Sdongos, Book series: Security Informatics and Law Enforcement, Springer, 2021.

The Crisis Classification component to strengthen the early warning, risk assessment and decision support in extreme climate events

G. Antzoulatos, A. Karakostas, S. Vrochidis, I. Kompatsiaris,“The Crisis Classification component to strengthen the early warning, risk assessment and decision support in extreme climate events”, in “Dynamic of Disaster - Impact, Risk, Resilience, and Solutions", edited by I.S. Kotsireas, P.M. Pardalos, A. Nagurney, A. Tsokas, Book series: Springer Optimization and Its Applications, Springer, 2021.

A Multi-Layer Fusion Approach For Real-Time Fire Severity Assessment Based on Multimedia Incidents

G. Antzoulatos, P. Giannakeris, I. Koulalis, A. Karakostas, S. Vrochidis, I. Kompatsiaris, "A Multi-Layer Fusion Approach For Real-Time Fire Severity Assessment Based on Multimedia Incidents", In Proceedings of the 17th International Conference on Information Systems for Crisis Response and Management, (ISCRAM 2020), (eds. Amanda Lee Hughes, Fiona McNeil and Christopher Zobel), 24- 27 May 2020.