Zobrazeno 1 - 10
of 140
pro vyhledávání: '"George A. Vouros"'
Autor:
Apostolos Glenis, George A. Vouros
Publikováno v:
Applied Sciences, Vol 14, Iss 2, p 689 (2024)
Time-Series-Classification (TSC) is an important machine learning task for many branches of science. Symbolic representations of time series, especially Symbolic Fourier Approximation (SFA), have been proven very effective for this task, given their
Externí odkaz:
https://doaj.org/article/9590d4cf650d4511bcc16a522ab59c97
Autor:
Alevizos Bastas, George A. Vouros
Publikováno v:
Aerospace, Vol 10, Iss 6, p 557 (2023)
With the aim to enhance automation in conflict detection and resolution (CD&R) tasks in the air traffic management (ATM) domain, this article studies the use of artificial intelligence and machine learning (AI/ML) methods to learn air traffic control
Externí odkaz:
https://doaj.org/article/49387d7accff480fbb8d1fe9c9029433
Autor:
Costas Vassilakis, Konstantinos Kotis, Dimitris Spiliotopoulos, Dionisis Margaris, Vlasios Kasapakis, Christos-Nikolaos Anagnostopoulos, Georgios Santipantakis, George A. Vouros, Theodore Kotsilieris, Volha Petukhova, Andrei Malchanau, Ioanna Lykourentzou, Kaj Michael Helin, Artem Revenko, Nenad Gligoric, Boris Pokric
Publikováno v:
Big Data and Cognitive Computing, Vol 4, Iss 2, p 6 (2020)
This paper presents SemMR, a semantic framework for modelling interactions between human and non-human entities and managing reusable and optimized cultural experiences, towards a shared cultural experience ecosystem that might seamlessly accommodate
Externí odkaz:
https://doaj.org/article/0254401cd46b430bbd8577e21aa1e0c9
Autor:
Georgios M. Santipantakis, Konstantinos I. Kotis, Apostolos Glenis, George A. Vouros, Christos Doulkeridis, Akrivi Vlachou
Publikováno v:
Knowledge and Information Systems. 64:2985-3015
Autor:
Gennady Andrienko, Natalia Andrienko, Jose Manuel Cordero Garcia, Dirk Hecker, George A. Vouros
Publikováno v:
IEEE Computer Graphics and Applications
We consider the general problem known as job shop scheduling, in which multiple jobs consist of sequential operations that need to be executed or served by appropriate machines having limited capacities. For example, train journeys (jobs) consist of
Autor:
Apostolos Glenis, George A. Vouros
Publikováno v:
Proceedings of the 12th Hellenic Conference on Artificial Intelligence.
Autor:
Theocharis Kravaris, Jose Manuel Cordero, George A. Vouros, Alevizos Bastas, Christos Spatharis, Konstantinos Blekas
Publikováno v:
Neural Computing and Applications. 35:147-159
In this work we investigate the use of hierarchical multiagent reinforcement learning methods for the computation of policies to resolve congestion problems in the air traffic management domain. To address cases where the demand of airspace use excee
Autor:
George A. Vouros, Georgios M. Santipantakis, Christos Doulkeridis, Apostolos Glenis, Nikolaos Koutroumanis
Publikováno v:
GeoInformatica. 25:291-309
More and more real-life applications for mobility analytics require the joint exploitation of positional information of moving objects together with weather data that correspond to the movement. In particular, this is evident in fleet management appl
Autor:
Christos Doulkeridis, Nikos Pelekis, Akrivi Vlachou, Apostolos Glenis, Georgios M. Santipantakis, Kostas Patroumpas, George A. Vouros, Yannis Theodoridis
Publikováno v:
Future Generation Computer Systems
An ever-increasing number of applications in critical domains, such as maritime and aviation, generate, collect, manage and process spatio-temporal data related to the mobility of entities. This wealth of data can be exploited for various purposes, t
Autor:
George A. Vouros, Andreas Karampelas
Publikováno v:
Fundamenta Informaticae. 172:299-325
This paper proposes and evaluates time and space efficient methods for discovering links between matching entities in large data sets, using state of the art methods for measuring edit distance as a string similarity metric. The paper proposes and co