| 2024 | IDEAS | Enhancing LLM Code Generation Using Natural Language Processing in the Context of Machine Learning. | Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis |
| 2023 | EANN | BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. | Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis |
| 2023 | ICANN | VPNDroid: Malicious Android VPN Detection Using a CNN-RF Method. | Nikolaos Polatidis, Elias Pimenidis, Marcello Trovati, Lazaros Iliadis |
| 2022 | ACIIDS | Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms. | Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Yannis Manolopoulos |
| 2022 | EANN | TrojanDroid: Android Malware Detection for Trojan Discovery Using Convolutional Neural Networks. | Saeed Seraj, Michalis Pavlidis, Nikolaos Polatidis |
| 2022 | ICANN | A Novel LSTM-CNN Architecture to Forecast Stock Prices. | Amol Dhaliwal, Nikolaos Polatidis, Elias Pimenidis |
| 2022 | ICANN | A New Model for Artificial Intuition. | Marcello Trovati, Olayinka Johnny, Xiaolong Xu, Nikolaos Polatidis |
| 2021 | EANN | Recommender Systems Algorithm Selection Using Machine Learning. | Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis |
| 2021 | ECMS | Data Stream Harmonization For Heterogeneous Workflows. | Eleftherios Bandis, Nikolaos Polatidis, Maria Diapouli, Stelios Kapetanakis |
| 2020 | INISTA | DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping. | Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel |
| 2020 | INISTA | SEADer++ v2: Detecting Social Engineering Attacks using Natural Language Processing and Machine Learning. | Merton Lansley, Stelios Kapetanakis, Nikolaos Polatidis |
| 2019 | ICCBR | 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 |
| 2019 | ICCCI | Twitter User Modeling Based on Indirect Explicit Relationships for Personalized Recommendations. | Abdullah Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Roger Evans, Gharbi Alshammari |
| 2019 | ICCCI | SEADer: A Social Engineering Attack Detection Method Based on Natural Language Processing and Artificial Neural Networks. | Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis |
| 2019 | SGAI | Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows. | Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis |
| 2018 | EANN | A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations. | Gharbi Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis |
| 2018 | EANN | Reproduction of Experiments in Recommender Systems Evaluation Based on Explanations. | Nikolaos Polatidis, Elias Pimenidis |
| 2018 | HIS | User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations. | Abdullah Alshammari, Stelios Kapetanakis, Roger Evans, Nikolaos Polatidis, Gharbi Alshammari |
| 2018 | ICCCI | A Hybrid Feature Combination Method that Improves Recommendations. | Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis |
| 2017 | EANN | Recommender Systems Meeting Security: From Product Recommendation to Cyber-Attack Prediction. | Nikolaos Polatidis, Elias Pimenidis, Michalis Pavlidis, Haralambos Mouratidis |
| 2014 | HCI | Factors Influencing the Quality of the User Experience in Ubiquitous Recommender Systems. | Nikolaos Polatidis, Christos K. Georgiadis |