Nikolaos Polatidis

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Michalis PavlidisUniversity of BrightonVerified email at brighton.ac.uk
Gharbi AlshammariUniversity of Ha'ilVerified email at uoh.edu.sa
Miltos PetridisProfessor of Computer Science, Middlesex University LondonVerified email at mdx.ac.uk
Merton LansleyUniversity of SussexVerified email at sussex.ac.uk
Abdullah AlshammariAssistant Professor, University of HailVerified email at uni.brighton.ac.uk
Emmanouil StiakakisProfessor, University of Macedonia, GreeceVerified email at uom.edu.gr
Spyros Papastergiouuniversity of PiraeusVerified email at unipi.gr
Roger EvansReader in Computer Science, University of BrightonVerified email at brighton.ac.uk
Jose Luis Jorro AragonesesProfesor Ayudante Doctor, Universidad Autónoma de MadridVerified email at uam.es
Francois MoutonNoroff University College, University of the Western CapeVerified email at noroff.no
Peter HancoxSenior Lecturer in Computer Science, University of BirminghamVerified email at cs.bham.ac.uk
Andreas DengelProfessor of Computer Science, University of Kaiserslautern & Executive Director, DFKIVerified email at dfki.de
Klaus-Dieter AlthoffGerman Research Center on Artificial Intelligence and University of HildesheimVerified email at iis.uni-hildesheim.de
Konstantinos KosmidisPhD CandidateVerified email at student.uwl.ac.uk
Georgios SamakovitisAssociate Professor, University of GreenwichVerified email at gre.ac.uk
Siavash KhodambashiYadegar-e-Imam Khomeini (RAH) Shahre Rey Branch, Islamic Azad University, Tehran, IranVerified email at sbu.ac.ir
Professor Lazaros IliadisSch of Engineering Head of the Dep of Civil Engineering Lab of Mathematics and InformaticsVerified email at civil.duth.gr
A PapaleonidasDemocritus University of Thrace, GreeceVerified email at civil.duth.gr
Andrew FishReader, Computing and Mathematics, University of BrightonVerified email at brighton.ac.uk
Yannis ManolopoulosProfessor, Vice-rector, Open University of CyprusVerified email at ouc.ac.cy

Nikolaos Polatidis

Principal Lecturer, University of Brighton

Verified email at Brighton.ac.uk - Homepage

Recommender Systems Machine Learning Cyber security


Title Sort by citations Sort by year Sort by 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	154	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	81	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	72	2017
A dynamic multi-level collaborative filtering method for improved recommendations N Polatidis, CK Georgiadis Computer Standards & Interfaces 51, 14-21, 2017	56	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 (3), 479-490, 2020	31	2020
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	22	2017
Mobile recommender systems: Identifying the major concepts E Pimenidis, N Polatidis, H Mouratidis Journal of Information Science 45 (3), 387-397, 2019	20	2019
Mobile recommender systems: An overview of technologies and challenges N Polatidis, CK Georgiadis 2013 Second International Conference on Informatics & Applications (ICIA …, 2013	20	2013
Chatbot for admissions N Polatidis arXiv preprint arXiv:1408.6762, 2014	18	2014
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	17	2020
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	17	2013
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	14	2017
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	11	2014
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	10	2018
Reproducibility of experiments in recommender systems evaluation N Polatidis, S Kapetanakis, E Pimenidis, K Kosmidis IFIP International Conference on Artificial Intelligence Applications and …, 2018	10	2018
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	9	2020
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	9	2019
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	9	2015
A method for privacy-preserving collaborative filtering recommendations CK Georgiadis, N Polatidis, H Mouratidis, E Pimenidis	8	2017
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	7	2019

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