Stavros Papadopoulos

Orcid: 0000-0003-1018-2293

Affiliations:
  • Centre for Research and Technology Hellas, Thessaloniki, Greece
  • Imperial College London, UK (PhD 2015)


According to our database1, Stavros Papadopoulos authored at least 32 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
AI-enabled Underground Water Pipe non -destructive Inspection.
Multim. Tools Appl., February, 2024

2023
User Profile-aware Daily Activity Prediction.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023

2022
IoT threat mitigation engine empowered by artificial intelligence multi-objective optimization.
J. Netw. Comput. Appl., 2022

2021
Modelling spatio-temporal ageing phenomena with deep Generative Adversarial Networks.
Signal Process. Image Commun., 2021

A graph neural network method for distributed anomaly detection in IoT.
Evol. Syst., 2021

2020
IoT Network Attack Detection and Mitigation.
Proceedings of the 9th Mediterranean Conference on Embedded Computing, 2020

Multi-objective Optimisation for Slice-aware Resource Orchestration in 5G Networks.
Proceedings of the 23rd Conference on Innovation in Clouds, 2020

2019
Routing policy verification for enhanced energy quality of service and security monitoring in IoT networks.
Proceedings of the 23rd Pan-Hellenic Conference on Informatics, 2019

A light-weighted ANN architecture for the classification of cyber-threats in modern communication networks.
Proceedings of the 10th International Conference on Networks of the Future, 2019

Runtime and Routing Security Policy Verification for Enhanced Quality of Service of IoT Networks.
Proceedings of the 2019 Global IoT Summit, 2019

Intrusion Detection System Based on Network Traffic Using Deep Neural Networks.
Proceedings of the 24th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks, 2019

2018
An Interactive Visual Analytics Platform for Smart Intelligent Transportation Systems Management.
IEEE Trans. Intell. Transp. Syst., 2018

A 3D-CNN Approach for the Spatio-Temporal Modeling of Surface Deterioration Phenomena.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Modelling of Material Ageing with Generative Adversarial Networks.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Behavioural Network Traffic Analytics for Securing 5G Networks.
Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

Identifying 5G System Enhancements: Enabling Technologies for Multi-Service Networks.
Proceedings of the 2018 IEEE Conference on Standards for Communications and Networking, 2018

2017
A Hierarchical Magnification Approach for Enhancing the Insight in Data Visualizations.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 3: IVAPP, Porto, Portugal, February 27, 2017

2016
A Novel Graph-Based Descriptor for the Detection of Billing-Related Anomalies in Cellular Mobile Networks.
IEEE Trans. Mob. Comput., 2016

An enhanced Graph Analytics Platform (GAP) providing insight in Big Network Data.
J. Innov. Digit. Ecosyst., 2016

Border gateway protocol graph: detecting and visualising internet routing anomalies.
IET Inf. Secur., 2016

A Hierarchical Scale-and-Stretch Approach for Image Retargeting.
Proceedings of the 12th International Conference on Signal-Image Technology & Internet-Based Systems, 2016

Discovering the Discriminating Power in Patient Test Features Using Visual Analytics: A Case Study in Parkinson's Disease.
Proceedings of the Artificial Intelligence Applications and Innovations, 2016

2015
Novel graph analytics for enhancing data insight.
PhD thesis, 2015

Fast Frequent Episode Mining Based on Finite-State Machines.
Proceedings of the Information Sciences and Systems 2015, 2015

A BRPCA Based Approach for Anomaly Detection in Mobile Networks.
Proceedings of the Information Sciences and Systems 2015, 2015

MoVA: A Visual Analytics Tool Providing Insight in the Big Mobile Network Data.
Proceedings of the Artificial Intelligence Applications and Innovations, 2015

2014
Visual Analytics for Enhancing Supervised Attack Attribution in Mobile Networks.
Proceedings of the Information Sciences and Systems 2014, 2014

Feature Extraction and Visual Feature Fusion for the Detection of Concurrent Prefix Hijacks.
Proceedings of the Artificial Intelligence Applications and Innovations, 2014

2013
BGPfuse: using visual feature fusion for the detection and attribution of BGP anomalies.
Proceedings of the 10th Workshop on Visualization for Cyber Security, 2013

Towards Visualizing Mobile Network Data.
Proceedings of the Information Sciences and Systems 2013, 2013

BGPViewer: Using Graph representations to explore BGP routing changes.
Proceedings of the 18th International Conference on Digital Signal Processing, 2013

2012
Hierarchical Visualization of BGP Routing Changes Using Entropy Measures.
Proceedings of the Advances in Visual Computing - 8th International Symposium, 2012


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