Chrysoulas Christos
Chrysoulas Christos
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Cited by
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
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
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
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
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
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
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
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
GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture
O Lo, WJ Buchanan, S Sayeed, P Papadopoulos, N Pitropakis, ...
Sensors 22 (6), 2291, 2022
Measuring consumer behavioural intention to accept technology: Towards autonomous vehicles technology acceptance model (AVTAM)
P Seuwou, C Chrysoulas, E Banissi, G Ubakanma
Trends and Innovations in Information Systems and Technologies: Volume 1 8 …, 2020
Building an Adaptive E-learning System
C Chrysoulas, M Fasli
Multi-label classifier to deal with misclassification in non-functional requirements
M Sabir, C Chrysoulas, E Banissi
Trends and Innovations in Information Systems and Technologies: Volume 1 8 …, 2020
Traffic Sign Recognition based on Synthesised Training Data
A Stergiou, G Kalliatakis, C Chrysoulas
Big Data and Cognitive Computing 2, 2018
Using Social Media & Sentiment Analysis to Make Investment Decisions
B Hasselgren, C Chrysoulas, N Pitropakis, WJ Buchanan
Future Internet 15 (1), 5, 2022
A traffic analysis on serverless computing based on the example of a file upload stream on aws lambda
L Muller, C Chrysoulas, N Pitropakis, PJ Barclay
Big Data and Cognitive Computing 4 (4), 38, 2020
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
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