Chrysoulas Christos
Chrysoulas Christos
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Zitiert von
Zitiert von
The Arrowhead Approach for SOA Application Development and Documentation
F Blomstedt, L Lino Ferreira, M Klisics, C Chrysoulas, I Martinez de Soria, ...
40th Annual Conference of the IEEE Industrial Electronics Society (IECON …, 2014
Saliency tubes: Visual explanations for spatio-temporal convolutions
A Stergiou, G Kapidis, G Kalliatakis, C Chrysoulas, R Veltkamp, R Poppe
2019 IEEE International Conference on Image Processing (ICIP), 1830-1834, 2019
Arrowhead Compliant Virtual Market of Energy
LL Ferreira, L Siksnys, P Pedersen, P Stluka, C Chrysoulas, T Le Guilly, ...
9th IEEE International Conference on Emerging Technologies and Factory …, 2014
Implementing deep learning techniques in 5G IoT networks for 3D indoor positioning: DELTA (DeEp Learning-Based Co-operaTive Architecture)
B El Boudani, L Kanaris, A Kokkinis, M Kyriacou, C Chrysoulas, S Stavrou, ...
Sensors 20 (19), 5495, 2020
Applying a web-service-based model to dynamic service-deployment
C Chrysoulas, E Haleplidis, R Haas, S Denazis, O Koyfopavlou
International Conference on Computational Intelligence for Modelling …, 2005
Review and critical analysis of privacy-preserving infection tracking and contact tracing
WJ Buchanan, MA Imran, M Ur-Rehman, L Zhang, QH Abbasi, ...
Frontiers in Communications and Networks 1, 583376, 2020
A decision making framework for dynamic service deployment
C Chrysoulas, G Kostopoulos, E Haleplidis, R Haas, S Denazis, ...
Proc. 15th IST Mobile & Wireless Communications Summit, Mykonos, Greece 3, 2006
Launching adversarial attacks against network intrusion detection systems for iot
P Papadopoulos, O Thornewill von Essen, N Pitropakis, C Chrysoulas, ...
Journal of Cybersecurity and Privacy 1 (2), 252-273, 2021
Class Feature Pyramids for Video Explanation
A Stergiou, G Kapidis, G Kalliatakis, C Chrysoulas, R Poppe, Veltkamp
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019
Personalized micro-service recommendation system for online news
M Asenova, C Chrysoulas
Procedia Computer Science 160, 610-615, 2019
Building an Adaptive E-learning System
C Chrysoulas, M Fasli
Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid
C Chrysoulas, M Fasli
Journal of Communications Software and Systems 13 (2), 77-86, 2017
Dynamic service deployment using an ontologybased description of devices and services
C Chrysoulas, G Koumoutsos, S Denazis, K Thramboulidis, ...
International Conference on Networking and Services (ICNS'07), 80-80, 2007
Granularity Cost Analysis for Function Block as a Service (FBaaS)
A Homay, M Wollschlaeger, MS Alois Zoitl, C Chrysoulas
IEEE 17th International Conference on Industrial Informatics (INDIN), 2019
Traffic Sign Recognition based on Synthesised Training Data
A Stergiou, G Kalliatakis, C Chrysoulas
Big Data and Cognitive Computing 2, 2018
Multi-label classifier to deal with misclassification in non-functional requirements
M Sabir, C Chrysoulas, E Banissi
World Conference on Information Systems and Technologies, 486-493, 2020
Measuring consumer behavioural intention to accept technology: Towards autonomous vehicles technology acceptance model (AVTAM)
P Seuwou, C Chrysoulas, E Banissi, G Ubakanma
World Conference on Information Systems and Technologies, 507-516, 2020
A distributed router’s modeling and implementation
C Chrysoulas, E Haleplidis, G Kostopoulos, S Denazis, O Koufopavlou
Proceedings of 5th International Symposium on Communication Systems …, 2006
A service oriented QoS architecture targeting the smart grid world & machine learning aspects
C Chrysoulas, M Fasli
2016 International Multidisciplinary Conference on Computer and Energy …, 2016
Multiply and Conquer: A Replication Framework for Building Fault Tolerant Industrial Applications
M de Sousa, C Chrysoulas, A Homay
INDIN 2015, 13th IEEE International Conference on Industrial Informatics, 2015
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