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Nikolaos Polatidis
Nikolaos Polatidis
Principal Lecturer, University of Brighton
Verified email at Brighton.ac.uk - Homepage
Title
Cited by
Cited by
Year
A multi-level collaborative filtering method that improves recommendations
N Polatidis, CK Georgiadis
Expert Systems with Applications 48, 100-110, 2016
1542016
Cyber-attack path discovery in a dynamic supply chain maritime risk management system
N Polatidis, M Pavlidis, H Mouratidis
Computer Standards & Interfaces 56, 74-82, 2018
812018
Privacy-preserving collaborative recommendations based on random perturbations
N Polatidis, CK Georgiadis, E Pimenidis, H Mouratidis
Expert Systems with Applications 71, 18-25, 2017
722017
A dynamic multi-level collaborative filtering method for improved recommendations
N Polatidis, CK Georgiadis
Computer Standards & Interfaces 51, 14-21, 2017
562017
From product recommendation to cyber-attack prediction: Generating attack graphs and predicting future attacks
N Polatidis, E Pimenidis, M Pavlidis, S Papastergiou, H Mouratidis
Evolving Systems 11 (3), 479-490, 2020
312020
Recommender systems meeting security: From product recommendation to cyber-attack prediction
N Polatidis, E Pimenidis, M Pavlidis, H Mouratidis
International Conference on Engineering Applications of Neural Networks, 508-519, 2017
222017
Mobile recommender systems: Identifying the major concepts
E Pimenidis, N Polatidis, H Mouratidis
Journal of Information Science 45 (3), 387-397, 2019
202019
Mobile recommender systems: An overview of technologies and challenges
N Polatidis, CK Georgiadis
2013 Second International Conference on Informatics & Applications (ICIA …, 2013
202013
Chatbot for admissions
N Polatidis
arXiv preprint arXiv:1408.6762, 2014
182014
SEADer++: social engineering attack detection in online environments using machine learning
M Lansley, F Mouton, S Kapetanakis, N Polatidis
Journal of Information and Telecommunication 4 (3), 346-362, 2020
172020
Recommender systems: The Importance of personalization in E-business environments
N Polatidis, CK Georgiadis
International Journal of E-Entrepreneurship and Innovation (IJEEI) 4 (4), 32-46, 2013
172013
Privacy-preserving recommendations in context-aware mobile environments
N Polatidis, CK Georgiadis, E Pimenidis, E Stiakakis
Information and Computer Security 25 (1), 62-79, 2017
142017
Factors influencing the quality of the user experience in ubiquitous recommender systems
N Polatidis, CK Georgiadis
International Conference on Distributed, Ambient, and Pervasive Interactions …, 2014
112014
A triangle multi-level item-based collaborative filtering method that improves recommendations
G Alshammari, S Kapetanakis, N Polatidis, M Petridis
International conference on engineering applications of neural networks, 145-157, 2018
102018
Reproducibility of experiments in recommender systems evaluation
N Polatidis, S Kapetanakis, E Pimenidis, K Kosmidis
IFIP International Conference on Artificial Intelligence Applications and …, 2018
102018
SEADer++ v2: detecting social engineering attacks using natural language processing and machine learning
M Lansley, S Kapetanakis, N Polatidis
2020 International Conference on Innovations in Intelligent Systems and …, 2020
92020
Seen the villains: detecting social engineering attacks using case-based reasoning and deep learning
M Lansley, N Polatidis, S Kapetanakis, K Amin, G Samakovitis, M Petridis
CEUR 2567, 39-48, 2019
92019
A ubiquitous recommender system based on collaborative filtering and social networking data.
N Polatidis, CK Georgiadis
International Journal of Intelligent Engineering Informatics 3 (2/3), 186-204, 2015
92015
A method for privacy-preserving collaborative filtering recommendations
CK Georgiadis, N Polatidis, H Mouratidis, E Pimenidis
82017
Seader: A social engineering attack detection method based on natural language processing and artificial neural networks
M Lansley, N Polatidis, S Kapetanakis
International Conference on Computational Collective Intelligence, 686-696, 2019
72019
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