Nikolaos Polatidis
Orcid: 0000-0003-4249-4953
According to our database1,
Nikolaos Polatidis
authored at least 55 papers
between 2012 and 2024.
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Bibliography
2024
Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves.
SN Comput. Sci., October, 2024
World Wide Web (WWW), September, 2024
Evol. Syst., February, 2024
2023
Appl. Artif. Intell., December, 2023
Neural Comput. Appl., October, 2023
Expert Syst. Appl., May, 2023
Proceedings of the Artificial Neural Networks and Machine Learning, 2023
Proceedings of the Engineering Applications of Neural Networks, 2023
2022
Digit., January, 2022
HamDroid: permission-based harmful android anti-malware detection using neural networks.
Neural Comput. Appl., 2022
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022
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
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022
2021
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021
2020
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
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
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020
2019
Vietnam. J. Comput. Sci., 2019
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
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
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
Proceedings of the Artificial Intelligence Applications and Innovations, 2018
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
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
J. Univers. Comput. Sci., 2017
Inf. Comput. Secur., 2017
Expert Syst. Appl., 2017
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
Expert Syst. Appl., 2016
2015
A ubiquitous recommender system based on collaborative filtering and social networking data.
Int. J. Intell. Eng. Informatics, 2015
Proceedings of the E-Democracy - Citizen Rights in the World of the New Computing Paradigms, 2015
2014
Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems.
Proceedings of the Distributed, Ambient, and Pervasive Interactions, 2014
2013
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
Proceedings of the 1st Symposium on Languages, Applications and Technologies, 2012