Query Matching Evaluation in an Infobot for University Admissions Processing. - Peter J. Hancox; Nikolaos Polatidis (SLATE, 2012)

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)

Recommender Systems: The Importance of Personalization in E-Business Environments. - Nikolaos Polatidis; Christos K. Georgiadis (Int. J. E Entrepreneurship Innov., 2013)

Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems. - Nikolaos Polatidis; Christos K. Georgiadis (HCI (21), 2014)

SFA Referee Allocation Scheme. - Nikolaos Polatidis (CoRR, 2014)

Chatbot for admissions. - Nikolaos Polatidis (CoRR, 2014)

Mobile recommender systems: An overview of technologies and challenges. - Nikolaos Polatidis; Christos K. Georgiadis (CoRR, 2014)

A Method for Privacy-Preserving Context-Aware Mobile Recommendations. - Nikolaos Polatidis; Christos K. Georgiadis; Elias Pimenidis; Emmanouil Stiakakis (e-Democracy, 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 multi-level collaborative filtering method that improves recommendations. - Nikolaos Polatidis; Christos K. Georgiadis (Expert Syst. Appl., 2016)

Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction. - Nikolaos Polatidis; Elias Pimenidis; Michalis Pavlidis; Haralambos Mouratidis (EANN, 2017)

A dynamic multi-level collaborative filtering method for improved recommendations. - Nikolaos Polatidis; Christos K. Georgiadis (Comput. Stand. Interfaces, 2017)

Privacy-preserving collaborative recommendations based on random perturbations. - Nikolaos Polatidis; Christos K. Georgiadis; Elias Pimenidis; Haralambos Mouratidis (Expert Syst. Appl., 2017)

Privacy-preserving recommendations in context-aware mobile environments. - Nikolaos Polatidis; Christos K. Georgiadis; Elias Pimenidis; Emmanouil Stiakakis (Inf. Comput. Secur., 2017)

A Method for Privacy-preserving Collaborative Filtering Recommendations. - Christos K. Georgiadis; Nikolaos Polatidis; Haralambos Mouratidis; Elias Pimenidis (J. Univers. Comput. Sci., 2017)

Recommendations in mobile commerce environments: supporting quality and privacy requirements - Nikolaos Polatidis (2017)

A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations. - Gharbi Alshammari; Stelios Kapetanakis; Nikolaos Polatidis; Miltos Petridis (EANN, 2018)

Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations. - Nikolaos Polatidis; Elias Pimenidis (EANN, 2018)

User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations. - Abdullah Alshammari; Stelios Kapetanakis; Roger Evans; Nikolaos Polatidis; Gharbi Alshammari (HIS, 2018)

A Hybrid Feature Combination Method that Improves Recommendations. - Gharbi Alshammari; Stelios Kapetanakis; Abdullah Alshammari; Nikolaos Polatidis; Miltos Petridis (ICCCI (1), 2018)

Reproducibility of Experiments in Recommender Systems Evaluation. - Nikolaos Polatidis; Stelios Kapetanakis; Elias Pimenidis; Konstantinos Kosmidis (AIAI, 2018)

Cyber-attack path discovery in a dynamic supply chain maritime risk management system. - Nikolaos Polatidis; Michalis Pavlidis; Haralambos Mouratidis (Comput. Stand. Interfaces, 2018)

Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning. - Merton Lansley; Nikolaos Polatidis; Stelios Kapetanakis; Kareem Amin 001; George Samakovitis; Miltos Petridis (ICCBR Workshops, 2019)

Twitter User Modeling Based on Indirect Explicit Relationships for Personalized Recommendations. - Abdullah Alshammari; Stelios Kapetanakis; Nikolaos Polatidis; Roger Evans; Gharbi Alshammari (ICCCI (1), 2019)

SEADer: A Social Engineering Attack Detection Method Based on Natural Language Processing and Artificial Neural Networks. - Merton Lansley; Nikolaos Polatidis; Stelios Kapetanakis (ICCCI (1), 2019)

Secure Social Media Spaces for Communities of Vulnerable People. - Elias Pimenidis; Nikolaos Polatidis (ICGS3, 2019)

A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations. - Gharbi Alshammari; Jose L. Jorro-Aragoneses; Stelios Kapetanakis; Nikolaos Polatidis; Miltos Petridis (IntelliSys (1), 2019)

Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows. - Kareem Amin 001; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel 001; Miltos Petridis (SGAI Conf., 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)

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)

Mobile recommender systems: Identifying the major concepts. - Elias Pimenidis; Nikolaos Polatidis; Haralambos Mouratidis (J. Inf. Sci., 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)

DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping. - Kareem Amin 001; Stelios Kapetanakis; Nikolaos Polatidis; Klaus-Dieter Althoff; Andreas Dengel 001 (INISTA, 2020)

SEADer++ v2: Detecting Social Engineering Attacks using Natural Language Processing and Machine Learning. - Merton Lansley; Stelios Kapetanakis; Nikolaos Polatidis (INISTA, 2020)

A Novel Dataset for Fake Android Anti-Malware Detection. - Saeed Seraj; Michalis Pavlidis; Nikolaos Polatidis (WIMS, 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)

SEADer++: social engineering attack detection in online environments using machine learning. - Merton Lansley; Francois Mouton; Stelios Kapetanakis; Nikolaos Polatidis (J. Inf. Telecommun., 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)

An explanation-based approach for experiment reproducibility in recommender systems. - Nikolaos Polatidis; Antonios Papaleonidas; Elias Pimenidis; Lazaros Iliadis 001 (Neural Comput. Appl., 2020)

Recommender Systems Algorithm Selection Using Machine Learning. - Nikolaos Polatidis; Stelios Kapetanakis; Elias Pimenidis (EANN, 2021)

Data Stream Harmonization For Heterogeneous Workflows. - Eleftherios Bandis; Nikolaos Polatidis; Maria Diapouli; Stelios Kapetanakis (ECMS, 2021)

Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms. - Nikolaos Polatidis; Stelios Kapetanakis; Elias Pimenidis; Yannis Manolopoulos (ACIIDS (1), 2022)

TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks. - Saeed Seraj; Michalis Pavlidis; Nikolaos Polatidis (EANN, 2022)

A Novel LSTM-CNN Architecture to Forecast Stock Prices. - Amol Dhaliwal; Nikolaos Polatidis; Elias Pimenidis (ICANN (1), 2022)

A New Model for Artificial Intuition. - Marcello Trovati; Olayinka Johnny; Xiaolong Xu 001; Nikolaos Polatidis (ICANN (1), 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 Regulatory Readiness Assessment Framework for Blockchain Adoption in Healthcare. - Olanrewaju Sanda; Michalis Pavlidis; Nikolaos Polatidis (Digit., 2022)

BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. - Saeed Seraj; Elias Pimenidis; Michalis Pavlidis; Stelios Kapetanakis; Marcello Trovati; Nikolaos Polatidis (EANN, 2023)

VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method. - Nikolaos Polatidis; Elias Pimenidis; Marcello Trovati; Lazaros Iliadis 001 (ICANN (10), 2023)

Long-Range attack detection on permissionless blockchains using Deep Learning. - Olanrewaju Sanda; Michalis Pavlidis; Saeed Seraj; Nikolaos Polatidis (Expert Syst. Appl., 2023)

MVDroid: an android malicious VPN detector using neural networks. - Saeed Seraj; Siavash Khodambashi; Michalis Pavlidis; Nikolaos Polatidis (Neural Comput. Appl., 2023)

Artificial Intuition for Automated Decision-Making. - Marcello Trovati; Khalid Teli; Nikolaos Polatidis; Ufuk Alpsahin Cullen; Simon Bolton (Appl. Artif. Intell., 2023)

Enhancing LLM Code Generation Using Natural Language Processing in the Context of Machine Learning. - Jordan Nelson; Michalis Pavlidis; Andrew Fish; Nikolaos Polatidis (IDEAS, 2024)

A deep learning approach for host-based cryptojacking malware detection. - Olanrewaju Sanda; Michalis Pavlidis; Nikolaos Polatidis (Evol. Syst., 2024)

FSSDroid: Feature subset selection for Android malware detection. - Nikolaos Polatidis; Stelios Kapetanakis; Marcello Trovati; Ioannis Korkontzelos; Yannis Manolopoulos (World Wide Web (WWW), 2024)

Detecting Android Malware with Convolutional Neural Networks and Hilbert Space-Filling Curves. - Benedict Ngaibe Mbungang; Joan Beri Ali Wacka; Franklin Tchakounté; Nikolaos Polatidis; Jean Michel Nlong II; Daniel Tieudjo (SN Comput. Sci., 2024)

ChatGPT-driven machine learning code generation for android malware detection. - Jordan Nelson; Michalis Pavlidis; Andrew Fish; Stelios Kapetanakis; Nikolaos Polatidis (Comput. J., 2025)

Leveraging Ethical Narratives to Enhance LLM-AutoML Generated Machine Learning Models. - Jordan Nelson; Michalis Pavlidis; Andrew Fish; Nikolaos Polatidis; Yannis Manolopoulos (Expert Syst. J. Knowl. Eng., 2025)

Evolving Machine Learning: A Survey. - Ignacio Cabrera Martin; Subhaditya Mukherjee; Almas Baimagambetov; Joaquin Vanschoren; Nikolaos Polatidis (CoRR, 2025)

A Survey of Generative Categories and Techniques in Multimodal Large Language Models. - Longzhen Han; Awes Mubarak; Almas Baimagambetov; Nikolaos Polatidis; Thar Baker (CoRR, 2025)

Zero-day Android botnet detection using neural networks. - Saeed Seraj; Elias Pimenidis; Marcello Trovati; Nikolaos Polatidis (Neural Comput. Appl., 2025)

A Review of Advances in Large Language and Vision Models for Robotic Manipulation: Techniques, Integrations, and Challenges. - Sajjad Hussain; Shwetangshu Biswas; Amandip Dutta; Md Saad; Almas Baimagambetov; Khizer Saeed; Nikolaos Polatidis (SN Comput. Sci., 2025)

Evaluating LLMs for Code Generation in HRI: A Comparative Study of ChatGPT, Gemini, and Claude. - Andrei Sobo; Awes Mubarak; Almas Baimagambetov; Nikolaos Polatidis (Appl. Artif. Intell., 2025)