Nikolaos Polatidis

According to our database, Nikolaos Polatidis authored at least 52 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A deep learning approach for host-based cryptojacking malware detection.

Olanrewaju Sanda, Michalis Pavlidis, Nikolaos Polatidis

Evol. Syst., February, 2024

2023

Artificial Intuition for Automated Decision-Making.

Marcello Trovati, Khalid Teli, Nikolaos Polatidis, Ufuk Alpsahin Cullen, Simon Bolton

Appl. Artif. Intell., December, 2023

MVDroid: an android malicious VPN detector using neural networks.

Saeed Seraj, Siavash Khodambashi, Michalis Pavlidis, Nikolaos Polatidis

Neural Comput. Appl., October, 2023

Long-Range attack detection on permissionless blockchains using Deep Learning.

Olanrewaju Sanda, Michalis Pavlidis, Saeed Seraj, Nikolaos Polatidis

Expert Syst. Appl., May, 2023

BotDroid: Permission-Based Android Botnet Detection Using Neural Networks.

Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis

Proceedings of the Engineering Applications of Neural Networks, 2023

2022

A Regulatory Readiness Assessment Framework for Blockchain Adoption in Healthcare.

Olanrewaju Sanda, Michalis Pavlidis, Nikolaos Polatidis

Digit., January, 2022

HamDroid: permission-based harmful android anti-malware detection using neural networks.

Saeed Seraj, Siavash Khodambashi, Michalis Pavlidis, Nikolaos Polatidis

Neural Comput. Appl., 2022

A New Model for Artificial Intuition.

Marcello Trovati, Olayinka Johnny, Xiaolong Xu, Nikolaos Polatidis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A Novel LSTM-CNN Architecture to Forecast Stock Prices.

Amol Dhaliwal, Nikolaos Polatidis, Elias Pimenidis

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks.

Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis

Proceedings of the Engineering Applications of Neural Networks, 2022

Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms.

Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Yannis Manolopoulos

Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021

Data Stream Harmonization For Heterogeneous Workflows.

Eleftherios Bandis, Nikolaos Polatidis, Maria Diapouli, Stelios Kapetanakis

Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021

Recommender Systems Algorithm Selection Using Machine Learning.

Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis

Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020

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

Nikolaos Polatidis, Antonios Papaleonidas, Elias Pimenidis, Lazaros Iliadis

Neural Comput. Appl., 2020

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

Stelios Kapetanakis, Nikolaos Polatidis, Gharbi Alshammari, Miltos Petridis

Neural Comput. Appl., 2020

SEADer++: social engineering attack detection in online environments using machine learning.

Merton Lansley, Francois Mouton, Stelios Kapetanakis, Nikolaos Polatidis

J. Inf. Telecommun., 2020

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

Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Spyridon Papastergiou, Haralambos Mouratidis

Evol. Syst., 2020

A Novel Dataset for Fake Android Anti-Malware Detection.

Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis

Proceedings of the WIMS 2020: The 10th International Conference on Web Intelligence, Mining and Semantics, Biarritz, France, June 30, 2020

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

Merton Lansley, Stelios Kapetanakis, Nikolaos Polatidis

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

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

Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel

Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

2019

Improved Movie Recommendations Based on a Hybrid Feature Combination Method.

Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis

Vietnam. J. Comput. Sci., 2019

Mobile recommender systems: Identifying the major concepts.

Elias Pimenidis, Nikolaos Polatidis, Haralambos Mouratidis

J. Inf. Sci., 2019

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

Gharbi Alshammari, Jose L. Jorro-Aragoneses, Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Miltos Petridis

J. Intell. Fuzzy Syst., 2019

A Guideline-Based Approach for Assisting with the Reproducibility of Experiments in Recommender Systems Evaluation.

Nikolaos Polatidis, Elias Pimenidis, Andrew Fish, Stelios Kapetanakis

Int. J. Artif. Intell. Tools, 2019

Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows.

Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis

Proceedings of the Artificial Intelligence XXXVI, 2019

A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations.

Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis

Proceedings of the Intelligent Systems and Applications, 2019

Secure Social Media Spaces for Communities of Vulnerable People.

Elias Pimenidis, Nikolaos Polatidis

Proceedings of the 12th IEEE International Conference on Global Security, 2019

SEADer: A Social Engineering Attack Detection Method Based on Natural Language Processing and Artificial Neural Networks.

Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Twitter User Modeling Based on Indirect Explicit Relationships for Personalized Recommendations.

Abdullah Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Roger Evans, Gharbi Alshammari

Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

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

Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis, Kareem Amin, George Samakovitis, Miltos Petridis

Proceedings of the Workshops Proceedings for the Twenty-seventh International Conference on Case-Based Reasoning co-located with the Twenty-seventh International Conference on Case-Based Reasoning (ICCBR 2019), 2019

2018

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

Nikolaos Polatidis, Michalis Pavlidis, Haralambos Mouratidis

Comput. Stand. Interfaces, 2018

Reproducibility of Experiments in Recommender Systems Evaluation.

Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Konstantinos Kosmidis

Proceedings of the Artificial Intelligence Applications and Innovations, 2018

A Hybrid Feature Combination Method that Improves Recommendations.

Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis

Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

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

Abdullah Alshammari, Stelios Kapetanakis, Roger Evans, Nikolaos Polatidis, Gharbi Alshammari

Proceedings of the Hybrid Intelligent Systems, 2018

Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations.

Nikolaos Polatidis, Elias Pimenidis

Proceedings of the Engineering Applications of Neural Networks, 2018

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

Gharbi Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis

Proceedings of the Engineering Applications of Neural Networks, 2018

2017

Recommendations in mobile commerce environments: supporting quality and privacy requirements

Nikolaos Polatidis

PhD thesis, 2017

A Method for Privacy-preserving Collaborative Filtering Recommendations.

Christos K. Georgiadis, Nikolaos Polatidis, Haralambos Mouratidis, Elias Pimenidis

J. Univers. Comput. Sci., 2017

Privacy-preserving recommendations in context-aware mobile environments.

Nikolaos Polatidis, Christos K. Georgiadis, Elias Pimenidis, Emmanouil Stiakakis

Inf. Comput. Secur., 2017

Privacy-preserving collaborative recommendations based on random perturbations.

Nikolaos Polatidis, Christos K. Georgiadis, Elias Pimenidis, Haralambos Mouratidis

Expert Syst. Appl., 2017

A dynamic multi-level collaborative filtering method for improved recommendations.

Nikolaos Polatidis, Christos K. Georgiadis

Comput. Stand. Interfaces, 2017

Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction.

Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Haralambos Mouratidis

Proceedings of the Engineering Applications of Neural Networks, 2017

2016

A multi-level collaborative filtering method that improves recommendations.

Nikolaos Polatidis, Christos K. Georgiadis

Expert Syst. Appl., 2016

2015

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

Nikolaos Polatidis, Christos K. Georgiadis

Int. J. Intell. Eng. Informatics, 2015

A Method for Privacy-Preserving Context-Aware Mobile Recommendations.

Nikolaos Polatidis, Christos K. Georgiadis, Elias Pimenidis, Emmanouil Stiakakis

Proceedings of the E-Democracy - Citizen Rights in the World of the New Computing Paradigms, 2015

2014

Mobile recommender systems: An overview of technologies and challenges.

Nikolaos Polatidis, Christos K. Georgiadis

CoRR, 2014

Chatbot for admissions.

Nikolaos Polatidis

CoRR, 2014

SFA Referee Allocation Scheme.

Nikolaos Polatidis

CoRR, 2014

Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems.

Nikolaos Polatidis, Christos K. Georgiadis

Proceedings of the Distributed, Ambient, and Pervasive Interactions, 2014

2013

Recommender Systems: The Importance of Personalization in E-Business Environments.

Nikolaos Polatidis, Christos K. Georgiadis

Int. J. E Entrepreneurship Innov., 2013

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

Peter J. Hancox, Nikolaos Polatidis

Comput. Sci. Inf. Syst., 2013

2012

Query Matching Evaluation in an Infobot for University Admissions Processing.

Peter J. Hancox, Nikolaos Polatidis

Proceedings of the 1st Symposium on Languages, Applications and Technologies, 2012