Nikolaos Polatidis

Orcid: 0000-0003-4249-4953

According to our database1, Nikolaos Polatidis authored at least 55 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves.
SN Comput. Sci., October, 2024

FSSDroid: Feature subset selection for Android malware detection.
World Wide Web (WWW), September, 2024

A deep learning approach for host-based cryptojacking malware detection.
Evol. Syst., February, 2024

2023
Artificial Intuition for Automated Decision-Making.
Appl. Artif. Intell., December, 2023

MVDroid: an android malicious VPN detector using neural networks.
Neural Comput. Appl., October, 2023

Long-Range attack detection on permissionless blockchains using Deep Learning.
Expert Syst. Appl., May, 2023

VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method.
Proceedings of the Artificial Neural Networks and Machine Learning, 2023

BotDroid: Permission-Based Android Botnet Detection Using Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
A Regulatory Readiness Assessment Framework for Blockchain Adoption in Healthcare.
Digit., January, 2022

HamDroid: permission-based harmful android anti-malware detection using neural networks.
Neural Comput. Appl., 2022

A New Model for Artificial Intuition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

A Novel LSTM-CNN Architecture to Forecast Stock Prices.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2022

Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
Data Stream Harmonization For Heterogeneous Workflows.
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021

Recommender Systems Algorithm Selection Using Machine Learning.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020
An explanation-based approach for experiment reproducibility in recommender systems.
Neural Comput. Appl., 2020

A novel recommendation method based on general matrix factorization and artificial neural networks.
Neural Comput. Appl., 2020

SEADer++: social engineering attack detection in online environments using machine learning.
J. Inf. Telecommun., 2020

From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks.
Evol. Syst., 2020

A Novel Dataset for Fake Android Anti-Malware Detection.
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.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

2019
Improved Movie Recommendations Based on a Hybrid Feature Combination Method.
Vietnam. J. Comput. Sci., 2019

Mobile recommender systems: Identifying the major concepts.
J. Inf. Sci., 2019

A switching multi-level method for the long tail recommendation problem.
J. Intell. Fuzzy Syst., 2019

A Guideline-Based Approach for Assisting with the Reproducibility of Experiments in Recommender Systems Evaluation.
Int. J. Artif. Intell. Tools, 2019

Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows.
Proceedings of the Artificial Intelligence XXXVI, 2019

A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations.
Proceedings of the Intelligent Systems and Applications, 2019

Secure Social Media Spaces for Communities of Vulnerable People.
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.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Twitter User Modeling Based on Indirect Explicit Relationships for Personalized Recommendations.
Proceedings of the Computational Collective Intelligence - 11th International Conference, 2019

Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning.
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.
Comput. Stand. Interfaces, 2018

Reproducibility of Experiments in Recommender Systems Evaluation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

A Hybrid Feature Combination Method that Improves Recommendations.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations.
Proceedings of the Hybrid Intelligent Systems, 2018

Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations.
Proceedings of the Engineering Applications of Neural Networks, 2018

A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations.
Proceedings of the Engineering Applications of Neural Networks, 2018

2017
Recommendations in mobile commerce environments: supporting quality and privacy requirements
PhD thesis, 2017

A Method for Privacy-preserving Collaborative Filtering Recommendations.
J. Univers. Comput. Sci., 2017

Privacy-preserving recommendations in context-aware mobile environments.
Inf. Comput. Secur., 2017

Privacy-preserving collaborative recommendations based on random perturbations.
Expert Syst. Appl., 2017

A dynamic multi-level collaborative filtering method for improved recommendations.
Comput. Stand. Interfaces, 2017

Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
A multi-level collaborative filtering method that improves recommendations.
Expert Syst. Appl., 2016

2015
A ubiquitous recommender system based on collaborative filtering and social networking data.
Int. J. Intell. Eng. Informatics, 2015

A Method for Privacy-Preserving Context-Aware Mobile Recommendations.
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.
CoRR, 2014

Chatbot for admissions.
CoRR, 2014

SFA Referee Allocation Scheme.
CoRR, 2014

Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems.
Proceedings of the Distributed, Ambient, and Pervasive Interactions, 2014

2013
Recommender Systems: The Importance of Personalization in E-Business Environments.
Int. J. E Entrepreneurship Innov., 2013

An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot.
Comput. Sci. Inf. Syst., 2013

2012
Query Matching Evaluation in an Infobot for University Admissions Processing.
Proceedings of the 1st Symposium on Languages, Applications and Technologies, 2012


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