A
Alexander Artikis
Researcher at University of Piraeus
Publications - 171
Citations - 3537
Alexander Artikis is an academic researcher from University of Piraeus. The author has contributed to research in topics: Event calculus & Complex event processing. The author has an hindex of 35, co-authored 158 publications receiving 3217 citations. Previous affiliations of Alexander Artikis include Imperial College London & Barcelona Supercomputing Center.
Papers
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Proceedings ArticleDOI
Engineering Organised Adaptation: A Tutorial
Jeremy Pitt,Alexander Artikis +1 more
TL;DR: This work discusses the future challenges facing engineers of organised adaptation, in particular the requirement for a formal method for systems development and evaluation, and proposes an analytic framework against which a number of prominent formalisms are evaluated.
Proceedings ArticleDOI
Event recognition for assisted independent living
TL;DR: The application of a recently proposed probabilistic logical formalism, based on the Event Calculus and the stochastic logic programming language ProbLog, is presented on the task of sensor data fusion in the USEFIL project.
Journal ArticleDOI
Online Event Recognition from Moving Vehicles: Application Paper
Efthimis Tsilionis,Nikolaos Koutroumanis,Panagiotis Nikitopoulos,Christos Doulkeridis,Alexander Artikis +4 more
TL;DR: A system for online composite event recognition over streaming positions of commercial vehicles, based on a highly optimised logic programming implementation of the Event Calculus, that consumes the enriched data and identifies activities that are beneficial in fleet management applications.
Book ChapterDOI
Increasing maritime situation awareness via trajectory detection, enrichment and recognition of events
George A. Vouros,Akrivi Vlachou,Georgios M. Santipantakis,Christos Doulkeridis,Nikos Pelekis,Harris V. Georgiou,Yannis Theodoridis,Kostas Patroumpas,Elias Alevizos,Alexander Artikis,Georg Fuchs,Michael Mock,Gennady Andrienko,Natalia Andrienko,Christophe Claramunt,Cyril Ray,Elena Camossi,Anne-Laure Jousselme +17 more
TL;DR: The research presented in this paper aims to show the deployment and use of advanced technologies towards processing surveillance data for the detection of events, contributing to maritime situation awareness via trajectories’ detection, synopses generation and semantic enrichment of trajectories.
Journal ArticleDOI
Complex event forecasting with prediction suffix trees
TL;DR: In this paper, the authors present a formal framework that combines symbolic automata and prediction suffix trees to encode complex event patterns and provide a succinct probabilistic description of an automaton's behavior.