A multi-level collaborative filtering method that improves recommendations N Polatidis, CK Georgiadis Expert Systems with Applications 48, 100-110, 2016 | 212 | 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 | 115 | 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 | 85 | 2017 |
A dynamic multi-level collaborative filtering method for improved recommendations N Polatidis, CK Georgiadis Computer Standards & Interfaces 51, 14-21, 2017 | 83 | 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 | 72 | 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 | 37 | 2020 |
Mobile recommender systems: Identifying the major concepts E Pimenidis, N Polatidis, H Mouratidis Journal of Information Science 45 (3), 387-397, 2019 | 34 | 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 | 33 | 2017 |
Mobile recommender systems: An overview of technologies and challenges N Polatidis, CK Georgiadis 2013 Second International Conference on Informatics & Applications (ICIA …, 2013 | 27 | 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 | 25 | 2022 |
Chatbot for admissions N Polatidis arXiv preprint arXiv:1408.6762, 2014 | 23 | 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 | 22 | 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 | 20 | 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 | 19 | 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 | 17 | 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 | 16 | 2017 |
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 | 14 | 2018 |
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 | 13 | 2023 |
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 | 13 | 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 | 12 | 2014 |