Nikolaos Polatidis
Nikolaos Polatidis
Principal Lecturer, University of Brighton
Verified email at - Homepage
Cited by
Cited by
A multi-level collaborative filtering method that improves recommendations
N Polatidis, CK Georgiadis
Expert Systems with Applications 48, 100-110, 2016
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
Privacy-preserving collaborative recommendations based on random perturbations
N Polatidis, CK Georgiadis, E Pimenidis, H Mouratidis
Expert Systems with Applications 71, 18-25, 2017
A dynamic multi-level collaborative filtering method for improved recommendations
N Polatidis, CK Georgiadis
Computer Standards & Interfaces 51, 14-21, 2017
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, 479-490, 2020
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
Mobile recommender systems: Identifying the major concepts
E Pimenidis, N Polatidis, H Mouratidis
Journal of Information Science 45 (3), 387-397, 2019
Recommender systems meeting security: From product recommendation to cyber-attack prediction
N Polatidis, E Pimenidis, M Pavlidis, H Mouratidis
Engineering Applications of Neural Networks: 18th International Conference …, 2017
Mobile recommender systems: An overview of technologies and challenges
N Polatidis, CK Georgiadis
2013 Second International Conference on Informatics & Applications (ICIA …, 2013
HamDroid: Permission-based harmful Android anti-malware detection using neural networks
S Seraj, S Khodambashi, M Pavlidis, N Polatidis
Neural Computing and Applications, 2022
Chatbot for admissions
N Polatidis
arXiv preprint arXiv:1408.6762, 2014
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
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
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
Seader: A social engineering attack detection method based on natural language processing and artificial neural networks
M Lansley, N Polatidis, S Kapetanakis
Computational Collective Intelligence: 11th International Conference, ICCCI …, 2019
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
Long-Range attack detection on permissionless blockchains using Deep Learning
O Sanda, M Pavlidis, S Seraj, N Polatidis
Expert Systems with Applications 218, 119606, 2023
A triangle multi-level item-based collaborative filtering method that improves recommendations
G Alshammari, S Kapetanakis, N Polatidis, M Petridis
Engineering Applications of Neural Networks: 19th International Conference …, 2018
A switching multi-level method for the long tail recommendation problem
G Alshammari, JL Jorro-Aragoneses, N Polatidis, S Kapetanakis, ...
Journal of Intelligent & Fuzzy Systems 37 (6), 7189-7198, 2019
Factors influencing the quality of the user experience in ubiquitous recommender systems
N Polatidis, CK Georgiadis
Distributed, Ambient, and Pervasive Interactions: Second International …, 2014
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