Photo of Nikolaos Polatidis
   

View Scopus Profile

Nikolaos Polatidis

Dr

 https://orcid.org/0000-0003-4249-4953
20122019
If you made any changes in Pure these will be visible here soon.

Research Output 2012 2019

  • 16 Article
  • 15 Conference contribution with ISSN or ISBN
  • 2 Paper
2019

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

Polatidis, N., Pimenidis, E., Fish, A. & Kapetanakis, S., 22 Jul 2019, (Accepted/In press) In : International Journal on Artificial Intelligence Tools.

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

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

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. p. 1-10

Research output: Contribution to journal › Article

Open Access
File
Collaborative filtering
Recommender systems
Decision support systems
History

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
Processing
Learning systems
Deep 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

Personalized Recommendation
User Modeling
Websites
User Profile
Recommender systems

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

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 devices
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
Information use
Electronic commerce
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
Supply chain management
Risk management
Risk assessment
Supply chains
Information systems

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
Mobile devices
Web services

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
Collaborative filtering
Recommender systems
Servers
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