Nikolaos Polatidis

73 papers C 11Misc 1Journal 45Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Review of Advances in Large Language and Vision Models for Robotic Manipulation: Techniques, Integrations, and Challenges. SN Comput. Sci. Sajjad Hussain, Shwetangshu Biswas, Amandip Dutta, Md Saad, Almas Baimagambetov, Khizer Saeed, Nikolaos Polatidis
2025	J	`jnl`	A Survey of Generative Categories and Techniques in Multimodal Large Language Models. CoRR Longzhen Han, Awes Mubarak, Almas Baimagambetov, Nikolaos Polatidis, Thar Baker
2025	J	`jnl`	ChatGPT-driven machine learning code generation for android malware detection. Comput. J. Jordan Nelson, Michalis Pavlidis, Andrew Fish, Stelios Kapetanakis, Nikolaos Polatidis
2025	J	`jnl`	Ethical AI prompt recommendations in large language models using collaborative filtering. CoRR Jordan Nelson, Almas Baimagambetov, Konstantinos Avgerinakis, Nikolaos Polatidis
2025	J	`jnl`	Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude. Appl. Artif. Intell. Andrei Sobo, Awes Mubarak, Almas Baimagambetov, Nikolaos Polatidis
2025	J	`jnl`	Evolving Machine Learning: A Survey. CoRR Ignacio Cabrera Martin, Subhaditya Mukherjee, Almas Baimagambetov, Joaquin Vanschoren, Nikolaos Polatidis
2025	J	`jnl`	LLM-Generated Samples for Android Malware Detection. CoRR Nik Rollinson, Nikolaos Polatidis
2025	J	`jnl`	LLM-Generated Samples for Android Malware Detection. Digit. Nik Rollinson, Nikolaos Polatidis
2025	J	`jnl`	Leveraging Ethical Narratives to Enhance LLM-AutoML Generated Machine Learning Models. Expert Syst. J. Knowl. Eng. Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis, Yannis Manolopoulos
2025	J	`jnl`	Long-Sequence LSTM Modeling for NBA Game Outcome Prediction Using a Novel Multi-Season Dataset. CoRR Charles Rios, Longzhen Han, Almas Baimagambetov, Nikolaos Polatidis
2025	J	`jnl`	Utilizing Large Language Models for Machine Learning Explainability. CoRR Alexandros Vassiliades, Nikolaos Polatidis, Stamatios Samaras, Sotiris Diplaris, Ignacio Cabrera Martin, Yannis Manolopoulos, Stefanos Vrochidis, Ioannis Kompatsiaris
2025	J	`jnl`	Zero-day Android botnet detection using neural networks. Neural Comput. Appl. Saeed Seraj, Elias Pimenidis, Marcello Trovati, Nikolaos Polatidis
2024	J	`jnl`	A deep learning approach for host-based cryptojacking malware detection. Evol. Syst. Olanrewaju Sanda, Michalis Pavlidis, Nikolaos Polatidis
2024	J	`jnl`	Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves. SN Comput. Sci. Benedict Ngaibe Mbungang, Joan Beri Ali Wacka, Franklin Tchakounté, Nikolaos Polatidis, Jean Michel Nlong II, Daniel Tieudjo
2024	C	`conf`	Enhancing LLM Code Generation Using Natural Language Processing in the Context of Machine Learning. IDEAS Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis
2024	J	`jnl`	FSSDroid: Feature subset selection for Android malware detection. World Wide Web (WWW) Nikolaos Polatidis, Stelios Kapetanakis, Marcello Trovati, Ioannis Korkontzelos, Yannis Manolopoulos
2023	J	`jnl`	Artificial Intuition for Automated Decision-Making. Appl. Artif. Intell. Marcello Trovati, Khalid Teli, Nikolaos Polatidis, Ufuk Alpsahin Cullen, Simon Bolton
2023	C	`conf`	BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. EANN Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis
2023	J	`jnl`	Long-Range attack detection on permissionless blockchains using Deep Learning. Expert Syst. Appl. Olanrewaju Sanda, Michalis Pavlidis, Saeed Seraj, Nikolaos Polatidis
2023	J	`jnl`	MVDroid: an android malicious VPN detector using neural networks. Neural Comput. Appl. Saeed Seraj, Siavash Khodambashi, Michalis Pavlidis, Nikolaos Polatidis
2023	—	`conf`	VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method. ICANN (10) Nikolaos Polatidis, Elias Pimenidis, Marcello Trovati, Lazaros Iliadis
2022	—	`conf`	A New Model for Artificial Intuition. ICANN (1) Marcello Trovati, Olayinka Johnny, Xiaolong Xu, Nikolaos Polatidis
2022	—	`conf`	A Novel LSTM-CNN Architecture to Forecast Stock Prices. ICANN (1) Amol Dhaliwal, Nikolaos Polatidis, Elias Pimenidis
2022	J	`jnl`	A Regulatory Readiness Assessment Framework for Blockchain Adoption in Healthcare. Digit. Olanrewaju Sanda, Michalis Pavlidis, Nikolaos Polatidis
2022	—	`conf`	Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms. ACIIDS (1) Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Yannis Manolopoulos
2022	J	`jnl`	HamDroid: permission-based harmful android anti-malware detection using neural networks. Neural Comput. Appl. Saeed Seraj, Siavash Khodambashi, Michalis Pavlidis, Nikolaos Polatidis
2022	C	`conf`	TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks. EANN Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis
2021	C	`conf`	Data Stream Harmonization For Heterogeneous Workflows. ECMS Eleftherios Bandis, Nikolaos Polatidis, Maria Diapouli, Stelios Kapetanakis
2021	C	`conf`	Recommender Systems Algorithm Selection Using Machine Learning. EANN Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis
2020	—	`conf`	A Novel Dataset for Fake Android Anti-Malware Detection. WIMS Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis
2020	J	`jnl`	A novel recommendation method based on general matrix factorization and artificial neural networks. Neural Comput. Appl. Stelios Kapetanakis, Nikolaos Polatidis, Gharbi Alshammari, Miltos Petridis
2020	J	`jnl`	An explanation-based approach for experiment reproducibility in recommender systems. Neural Comput. Appl. Nikolaos Polatidis, Antonios Papaleonidas, Elias Pimenidis, Lazaros Iliadis
2020	C	`conf`	DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping. INISTA Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel
2020	J	`jnl`	From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks. Evol. Syst. Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Spyridon Papastergiou, Haralambos Mouratidis
2020	C	`conf`	SEADer++ v2: Detecting Social Engineering Attacks using Natural Language Processing and Machine Learning. INISTA Merton Lansley, Stelios Kapetanakis, Nikolaos Polatidis
2020	J	`jnl`	SEADer++: social engineering attack detection in online environments using machine learning. J. Inf. Telecommun. Merton Lansley, Francois Mouton, Stelios Kapetanakis, Nikolaos Polatidis
2019	J	`jnl`	A Guideline-Based Approach for Assisting with the Reproducibility of Experiments in Recommender Systems Evaluation. Int. J. Artif. Intell. Tools Nikolaos Polatidis, Elias Pimenidis, Andrew Fish, Stelios Kapetanakis
2019	—	`conf`	A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations. IntelliSys (1) Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis
2019	J	`jnl`	A switching multi-level method for the long tail recommendation problem. J. Intell. Fuzzy Syst. Gharbi Alshammari, Jose L. Jorro-Aragoneses, Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Miltos Petridis
2019	—	`conf`	Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows. SGAI Conf. Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis
2019	J	`jnl`	Improved Movie Recommendations Based on a Hybrid Feature Combination Method. Vietnam. J. Comput. Sci. Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis
2019	J	`jnl`	Mobile recommender systems: Identifying the major concepts. J. Inf. Sci. Elias Pimenidis, Nikolaos Polatidis, Haralambos Mouratidis
2019	—	`conf`	SEADer: A Social Engineering Attack Detection Method Based on Natural Language Processing and Artificial Neural Networks. ICCCI (1) Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis
2019	—	`conf`	Secure Social Media Spaces for Communities of Vulnerable People. ICGS3 Elias Pimenidis, Nikolaos Polatidis
2019	—	`conf`	Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning. ICCBR Workshops Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis, Kareem Amin, George Samakovitis, Miltos Petridis
2019	—	`conf`	Twitter User Modeling Based on Indirect Explicit Relationships for Personalized Recommendations. ICCCI (1) Abdullah Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Roger Evans, Gharbi Alshammari
2018	—	`conf`	A Hybrid Feature Combination Method that Improves Recommendations. ICCCI (1) Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis
2018	C	`conf`	A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations. EANN Gharbi Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis
2018	J	`jnl`	A multi-level collaborative filtering method that improves recommendations. CoRR Nikolaos Polatidis, Christos K. Georgiadis
2018	J	`jnl`	Cyber-attack path discovery in a dynamic supply chain maritime risk management system. Comput. Stand. Interfaces Nikolaos Polatidis, Michalis Pavlidis, Haralambos Mouratidis
2018	J	`jnl`	From product recommendation to cyber-attack prediction: Generating attack graphs and predicting future attacks. CoRR Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Spyridon Papastergiou, Haralambos Mouratidis
2018	J	`jnl`	Mobile recommender systems: Identifying the major concepts. CoRR Elias Pimenidis, Nikolaos Polatidis, Haralambos Mouratidis
2018	Misc	`conf`	Reproducibility of Experiments in Recommender Systems Evaluation. AIAI Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Konstantinos Kosmidis
2018	C	`conf`	Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations. EANN Nikolaos Polatidis, Elias Pimenidis
2018	C	`conf`	User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations. HIS Abdullah Alshammari, Stelios Kapetanakis, Roger Evans, Nikolaos Polatidis, Gharbi Alshammari
2017	J	`jnl`	A Method for Privacy-preserving Collaborative Filtering Recommendations. J. Univers. Comput. Sci. Christos K. Georgiadis, Nikolaos Polatidis, Haralambos Mouratidis, Elias Pimenidis
2017	J	`jnl`	A dynamic multi-level collaborative filtering method for improved recommendations. CoRR Nikolaos Polatidis, Christos K. Georgiadis
2017	J	`jnl`	A dynamic multi-level collaborative filtering method for improved recommendations. Comput. Stand. Interfaces Nikolaos Polatidis, Christos K. Georgiadis
2017	J	`jnl`	Privacy-preserving collaborative recommendations based on random perturbations. Expert Syst. Appl. Nikolaos Polatidis, Christos K. Georgiadis, Elias Pimenidis, Haralambos Mouratidis
2017	J	`jnl`	Privacy-preserving recommendations in context-aware mobile environments. Inf. Comput. Secur. Nikolaos Polatidis, Christos K. Georgiadis, Elias Pimenidis, Emmanouil Stiakakis
2017	—	`—`	Recommendations in mobile commerce environments: supporting quality and privacy requirements Nikolaos Polatidis
2017	C	`conf`	Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction. EANN Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Haralambos Mouratidis
2016	J	`jnl`	A multi-level collaborative filtering method that improves recommendations. Expert Syst. Appl. Nikolaos Polatidis, Christos K. Georgiadis
2015	—	`conf`	A Method for Privacy-Preserving Context-Aware Mobile Recommendations. e-Democracy Nikolaos Polatidis, Christos K. Georgiadis, Elias Pimenidis, Emmanouil Stiakakis
2015	J	`jnl`	A ubiquitous recommender system based on collaborative filtering and social networking data. Int. J. Intell. Eng. Informatics Nikolaos Polatidis, Christos K. Georgiadis
2014	J	`jnl`	Chatbot for admissions. CoRR Nikolaos Polatidis
2014	—	`conf`	Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems. HCI (21) Nikolaos Polatidis, Christos K. Georgiadis
2014	J	`jnl`	Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems. CoRR Nikolaos Polatidis, Christos K. Georgiadis
2014	J	`jnl`	Mobile recommender systems: An overview of technologies and challenges. CoRR Nikolaos Polatidis, Christos K. Georgiadis
2014	J	`jnl`	SFA Referee Allocation Scheme. CoRR Nikolaos Polatidis
2013	J	`jnl`	An evaluation of keyword, string similarity and very shallow syntactic matching for a university admissions processing infobot. Comput. Sci. Inf. Syst. Peter J. Hancox, Nikolaos Polatidis
2013	J	`jnl`	Recommender Systems: The Importance of Personalization in E-Business Environments. Int. J. E Entrepreneurship Innov. Nikolaos Polatidis, Christos K. Georgiadis
2012	—	`conf`	Query Matching Evaluation in an Infobot for University Admissions Processing. SLATE Peter J. Hancox, Nikolaos Polatidis