Nikolaos Polatidis

Research Output

Research Output per year

2012 2020

• 18 Conference contribution with ISSN or ISBN
• 17 Article
• 2 Paper

Research Output per year

Research Output per year

Search results

• 2020

  A novel dataset for fake android anti-malware detection

  Seraj, S., Pavlidis, M. & Polatidis, N., 30 Jun 2020, 10th International Conference on Web Intelligence, Mining and Semantics. New York: ACM, p. 205-209 5 p.

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Malware
  • Cellular telephones
  • Learning algorithms
  • Machine learning
  • Internet

• DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping

  Amin, K., Kapetanakis, S., Polatidis, N., Althoff, K-D. & Dengel, A., 2020, (Accepted/In press) 2020 International Conference on Innovations in Intelligent Systems and Applications: INISTA 2020. IEEE

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

• SEADer++: Social Engineering Attack Detection in Online Environments using Machine Learning

  Lansley, M., Mouton, F., Kapetanakis, S. & Polatidis, N., 10 Apr 2020, In : Journal of Information and Telecommunication.

  Research output: Contribution to journal › Article

  Open Access

  File

• SEADer++ v2: Detecting Social Engineering Attacks using Natural Language Processing and Machine Learning

  Lansley, M., Kapetanakis, S. & Polatidis, N., 2020, (Accepted/In press) 2020 International Conference on Innovations in Intelligent Systems and Applications: INISTA 2020. IEEE

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Learning algorithms
  • Machine learning
  • Personnel
  • Industry
• 2019

  A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation

  Polatidis, N., Pimenidis, E., Fish, A. & Kapetanakis, S., 4 Dec 2019, In : International Journal on Artificial Intelligence Tools. 28, 8, 1960011.

  Research output: Contribution to journal › Article

• An explanation-based approach for experiment reproducibility in recommender systems

  Polatidis, N., Papaleonidas, A., Pimenidis, E. & Iliadis, L., 27 May 2019, In : Neural Computing and Applications. p. 1-8

  Research output: Contribution to journal › Article

  Open Access

  File

  • Recommender systems
  • Collaborative filtering
  • Experiments

• A novel recommendation method based on general matrix factorization and artificial neural networks

  Kapetanakis, S., Polatidis, N., Alshammari, G. & Petridis, M., 26 Oct 2019, In : Neural Computing and Applications. p. 1-8

  Research output: Contribution to journal › Article

  Open Access

  File

  • Collaborative filtering
  • Factorization
  • Neural networks
  • Marketing

• A switching approach that improves prediction accuracy for long tail recommendations

  Alshammari, G., Jorro Aragoneses, J. L., Kapetanakis, S., Polatidis, N. & Petridis, M., 2019, (Accepted/In press) 4th Artificial Intelligence and Intelligent Systems Conference: Intellisys. Springer, (Advances in Intelligent Systems and Computing).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

• A switching multi-level method for the long tail recommendation problem

  Alshammari, G., Jorro Aragoneses, J. L., Polatidis, N., Kapetanakis, S., Pimenidis, E. & Petridis, M., 15 Jul 2019, In : Journal of Intelligent and Fuzzy Systems. 37, 6, p. 7189-7198 10 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Multilevel Methods
  • Collaborative filtering
  • Recommendations
  • Recommender systems
  • Tail

• Building Knowledge Intensive Architectures for heterogeneous NLP workflows

  Amin, K., Kapetanakis, S., Polatidis, N., Althoff, K-D., Dengel, A. & Petridis, M., 2 Aug 2019, (Accepted/In press) AI-2019 Thirty-ninth SGAI International Conference on Artificial Intelligence: SGAI 2019. (Lecture Notes in Artificial Intelligence).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

• Improved movie recommendations based on a hybrid feature combination method

  Alshammari, G., Kapetanakis, S., Alshammari, A., Polatidis, N. & Petridis, M., 8 Jul 2019, In : Vietnam Journal of Computer Science.

  Research output: Contribution to journal › Article

  Open Access

  File

• Personalized Recommendations on Twitter based on Explicit User Relationship Modelling

  Alshammari, A., Polatidis, N., Kapetanakis, S., Evans, R. & Alshammari, G., 2019.

  Research output: Contribution to conference › Paper

  Open Access

  File

• SEADer: A Social Engineering Attack Detection method based on Natural Language Processing and Artificial Neural Networks

  Lansley, M., Polatidis, N. & Kapetanakis, S., 4 Oct 2019, Computational Collective Intelligence: 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N-T., Chbeir, R., Exposito, E., Aniorte, P. & Trawiński, B. (eds.). Springer International Publishing, (Lecture notes in Artificial Intelligence).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

• Secure Social Media Spaces for Communities of Vulnerable People

  Pimenidis, E. & Polatidis, N., 10 Apr 2019, Proceedings of 12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019. IEEE, 8688027. (Proceedings of 12th International Conference on Global Security, Safety and Sustainability, ICGS3 2019).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Recommender systems
  • Monitoring
  • Costs

• Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning

  Lansley, M., Polatidis, N., Kapetanakis, S., Amin, K., Samakovitis, G. & Petridis, M., 2019.

  Research output: Contribution to conference › Paper

  Open Access

  File

  • Case based reasoning
  • Deep learning
  • Machine learning

• Twitter User Modeling based on Indirect Explicit Relationships for Personalized Recommendations

  Alshammari, A., Kapetanakis, S., Polatidis, N., Evans, R. & Alshammari, G., 9 Aug 2019, Computational Collective Intelligence - 11th International Conference, ICCCI 2019, Proceedings: 11th International Conference, ICCCI 2019, Proceedings. Nguyen, N. T., Chbeir, R., Exposito, E., Aniorté, P., Trawinski, B. & Nguyen, N. T. (eds.). Springer International, p. 93-105 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11683 LNAI).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Personalized Recommendation
  • User Modeling
  • User Profile
  • Websites
  • Social Media

• User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations

  Alshammari, A., Kapetanakis, S., Evans, R., Polatidis, N. & Alshammari, G., 21 Mar 2019, Hybrid Intelligent Systems - 18th International Conference on Hybrid Intelligent Systems HIS 2018. Varela, M. L., Abraham, A., Gandhi, N. & Madureira, A. M. (eds.). Cham: Springer, Vol. 923. p. 135-145 11 p. (Advances in Intelligent Systems and Computing; vol. 923).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Recommender systems
• 2018

  A Hybrid Feature Combination Method that Improves Recommendations

  Alshammari, G., Kapetanakis, S., Alshammari, A., Polatidis, N. & Petridis, M., 8 Aug 2018, International Conference on Computational Collective Intelligence. Springer, p. 209-218 10 p. (Lecture Notes in Computer Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Collaborative filtering
  • Classifiers
  • Recommender systems
  • Sales
  • Industry

• A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations

  Alshammari, G., Kapetanakis, S., Polatidis, N. & Petridis, M., 27 Jul 2018, International Conference on Engineering Applications of Neural Networks. Pimenidis, E. & Jayne, C. (eds.). Springer, Vol. 893. p. 145-157 13 p. (Communications in Computer and Information Science; vol. 893).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

• From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks

  Polatidis, N., Pimenidis, E., Pavlidis, M., Papastergiou, S. & Mouratidis, H., 22 May 2018, In : Evolving Systems.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Recommender systems
  • Risk management
  • Supply chains
  • Information systems

• Mobile recommender systems: Identifying the major concepts

  Pimenidis, E., Polatidis, N. & Mouratidis, H., 3 Aug 2018, In : Journal of Information Science.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Recommender systems
  • Mobile computing
  • Internet

• Reproducibility of experiments in recommender systems evaluation

  Polatidis, N., Kapetanakis, S., Pimenidis, E. & Kosmidis, K., 22 May 2018, 14th International Conference on Artificial Intelligence Applications and Innovations. Germany: Springer-Verlag, Vol. 519. p. 401-409 9 p. (IFIP Advances in Information and Communication Technology).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Recommender systems
  • Experiments

• Reproduction of experiments in recommender systems evaluation based on explanations

  Polatidis, N. & Pimenidis, E., 27 Jul 2018, International Conference on Engineering Applications of Neural Networks. Pimenidis, E. & Jayne, C. (eds.). Springer, Vol. 893. p. 194-200 7 p. (Communications in Computer and Information Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File
• 2017

  A Method for Privacy-preserving Collaborative Filtering Recommendations

  Georgiadis, C. K., Polatidis, N., Mouratidis, H. & Pimenidis, E., 28 Feb 2017, In : Journal of Universal Computer Science. 23, 2, p. 146-166 21 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Collaborative filtering
  • Recommender systems
  • Electronic commerce
  • Information use
  • Access control

• Cyber-attack path discovery in a dynamic supply chain maritime risk management system

  Polatidis, N., Pavlidis, M. & Mouratidis, H., 14 Sep 2017, In : Computer Standards & Interfaces. 56, p. 74-82 9 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Risk Management
  • Supply Chain Dynamics
  • Attack
  • Management System
  • Graph

• Privacy-preserving recommendations in context-aware mobile environments

  Polatidis, N., Georgiadis, C. K., Pimenidis, E. & Stiakakis, E., 13 Mar 2017, In : Information and Computer Security. 25, 1, p. 62-79

  Research output: Contribution to journal › Article

  • Recommender systems
  • Collaborative filtering
  • Smartphones
  • Web services
  • User interfaces

• Recommender systems meeting security: from product recommendation to cyber-attack prediction

  Polatidis, N., Pimenidis, E., Pavlidis, M. & Mouratidis, H., 2 Aug 2017, International Conference on Engineering Applications of Neural Networks. Germany: Springer, p. 508-519 12 p. (Communications in Computer and Information Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access

  File

  • Recommender systems
  • Supply chains
  • Information systems
• 2016

  A dynamic multi-level collaborative filtering method for improved recommendations

  Polatidis, N. & Georgiadis, C. K., 5 Nov 2016, In : Computer Standards & Interfaces. 51, p. 14-21

  Research output: Contribution to journal › Article

  • Collaborative filtering

• Privacy-preserving collaborative recommendations based on random perturbations

  Polatidis, N., Georgiadis, C. K., Pimenidis, E. & Mouratidis, H., 18 Nov 2016, In : Expert Systems with Applications. 71, p. 18-25 8 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Privacy Preserving
  • Collaborative Filtering
  • Perturbation
  • Privacy
  • Rating
• 2015

  A method for privacy-preserving context-aware mobile recommendations

  Polatidis, N., Georgiadis, C. K., Pimenidis, E. & Stiakakis, E., 1 Dec 2015, E-Democracy – Citizen Rights in the World of the New Computing Paradigms: e-Democracy 2015. Katsikas, S. & Sideridis, A. (eds.). Cham: Springer, Vol. 570. ( Communications in Computer and Information Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

• A multi-level collaborative filtering method that improves recommendations

  Polatidis, N. & Georgiadis, C. K., 4 Dec 2015, In : Expert Systems with Applications. 48, p. 100-110

  Research output: Contribution to journal › Article

  • Collaborative filtering
  • Recommender systems
  • Decision making

• A ubiquitous recommender system based on collaborative filtering and social networking data

  Polatidis, N. & Georgiadis, C. K., 15 Jun 2015, In : International Journal of Intelligent Engineering Informatics. 3, 2/3, p. 186-204

  Research output: Contribution to journal › Article

  Open Access

  File
• 2014

  Factors influencing the quality of the user experience in ubiquitous recommender systems

  Polatidis, N. & Georgiadis, C. K., 2014, Distributed, Ambient, and Pervasive Interactions: DAPI 2014. Streitz, N. & Markopoulos, P. (eds.). Cham: Springer, Vol. 8530. p. 369-379 ( Lecture Notes in Computer Science).

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN
• 2013

  An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot

  Hancox, P. & Polatidis, N., 2013, In : Computer Science And Information Systems. 10, 4

  Research output: Contribution to journal › Article

  Open Access

• Mobile recommender systems: An overview of technologies and challenges

  Polatidis, N. & Georgiadis, C. K., 31 Oct 2013, 2nd International Conference on Informatics and Applications: ICIA. IEEE

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

• Recommender systems: The importance of personalization in e-business environments

  Polatidis, N. & Georgiadis, C. K., 2013, In : International Journal of E-Entrepreneurship and Innovation. 4, 4, 15 p., 3.

  Research output: Contribution to journal › Article
• 2012

  Query matching evaluation in an infobot for university admissions processing

  Hancox, P. & Polatidis, N., 2012, 1st Symposium on Languages, Applications and Technologies (SLATE’12). Germany: Dagstuhl Publishing, p. 149-161

  Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN

  Open Access