Providing Explanations for the Intelligent Monitoring of Business Workflows Using Case-Based Reasoning. - Stelios Kapetanakis; Miltos Petridis; Jixin Ma 001; Liz Bacon (ExaCt, 2010)

A Case Based Reasoning Approach for the Monitoring of Business Workflows. - Stelios Kapetanakis; Miltos Petridis; Brian Knight; Jixin Ma 001; Liz Bacon (ICCBR, 2010)

Visually Mapping Requirements Models to Cloud Services. - Shaun Shei; Aidan J. Delaney; Stelios Kapetanakis; Haralambos Mouratidis (DMS, 2015)

Evaluating Case-Based Reasoning Knowledge Discovery in Fraud Detection. - Adeyinka Adedoyin; Stelios Kapetanakis; Miltos Petridis; Emmanouil Panaousis (ICCBR Workshops, 2016)

Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows. - Ioannis Agorgianitis; Miltos Petridis; Stelios Kapetanakis; Andrew Fish (ICCBR Workshops, 2016)

An Industrial Application of Data Mining Techniques to Enhance the Effectiveness of On-Line Advertising. - Maria Diapouli; Miltos Petridis; Roger Evans; Stelios Kapetanakis (SGAI Conf., 2016)

Business Process Workflow Monitoring Using Distributed CBR with GPU Computing. - Ioannis Agorgianitis; Stelios Kapetanakis; Miltos Petridis; Andrew Fish (FLAIRS, 2017)

A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems. - Gharbi Alshammari; Jose L. Jorro-Aragoneses; Stelios Kapetanakis; Miltos Petridis; Juan A. Recio-García; Belén Díaz-Agudo (ICCBR, 2017)

Behavioural Analytics using Process Mining in On-line Advertising. - Maria Diapouli; Stelios Kapetanakis; Miltos Petridis; Roger Evans (ICCBR (Workshops), 2017)

MLDA: A Multiple Levels Detection Approach for Design Patterns Recovery. - Mohammed Al-Obeidallah; Miltos Petridis; Stelios Kapetanakis (ICCDA, 2017)

Intelligent Signal Processing for Dust Storm Prediction Using Ensemble Case-Based Reasoning. - Tariq Saad Al Murayziq; Stelios Kapetanakis; Miltos Petridis (ICTAI, 2017)

A Structural Rule-Based Approach for Design Patterns Recovery. - Mohammed Al-Obeidallah; Miltos Petridis; Stelios Kapetanakis (SERA (selected papers), 2017)

Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning. - Adeyinka Adedoyin; Stelios Kapetanakis; Georgios Samakovitis; Miltos Petridis (SGAI Conf., 2017)

A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques. - Vasileios Manousakis Kokorakis; Miltos Petridis; Stelios Kapetanakis (SGAI Conf., 2017)

Predicting Dust Storms Using Hybrid Intelligence System. - Tariq Saad Al Murayziq; Stelios Kapetanakis; Miltos Petridis (SGAI Conf., 2017)

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

Special Track on Case-Based Reasoning. - Stelios Kapetanakis; Michael W. Floyd (FLAIRS, 2018)

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

Answering with Cases: A CBR Approach to Deep Learning. - Kareem Amin 001; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel 001; Miltos Petridis (ICCBR, 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)

On Character vs Word Embeddings as Input for English Sentence Classification. - James Alistair Hammerton; Mercè Vintró; Stelios Kapetanakis; Michele Sama (IntelliSys (1), 2018)

Performance Comparison of Popular Text Vectorising Models on Multi-class Email Classification. - Ritwik Kulkarni; Mercè Vintró; Stelios Kapetanakis; Michele Sama (IntelliSys (1), 2018)

Dynamic Process Workflow Routing Using Deep Learning. - Kareem Amin 001; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel 001; Miltos Petridis (SGAI Conf., 2018)

Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry. - Eleftherios Bandis; Miltos Petridis; Stelios Kapetanakis (SGAI Conf., 2018)

Autonomous Swarm Agents Using Case-Based Reasoning. - Daniel O'Connor; Stelios Kapetanakis; Georgios Samakovitis; Michael W. Floyd; Santiago Ontañón; Miltos Petridis (SGAI Conf., 2018)

A Multiple Phases Approach for Design Patterns Recovery Based on Structural and Method Signature Features. - Mohammed Al-Obeidallah; Miltos Petridis; Stelios Kapetanakis (Int. J. Softw. Innov., 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)

Workshop preface. - Kyle Martin; Stelios Kapetanakis; Anjana Wijekoon; Kareem Amin 001; Stewart Massie (ICCBR Workshops, 2019)

An Ensemble Method: Case-Based Reasoning and the Inverse Problems in Investigating Financial Bubbles. - Francis Ekpenyong; Georgios Samakovitis; Stelios Kapetanakis; Miltos Petridis (ICCC, 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)

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)

Advanced Similarity Measures Using Word Embeddings and Siamese Networks in CBR. - Kareem Amin 001; George Lancaster; Stelios Kapetanakis; Klaus-Dieter Althoff; Andreas Dengel 001; Miltos Petridis (IntelliSys (2), 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)

Dynamic scheduling in TWDM-PONs using game theory. - Christos Dalamagkas; Panagiotis G. Sarigiannidis; Stelios Kapetanakis; Ioannis D. Moscholios (Opt. Switch. Netw., 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)

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)

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)

A novel Deep Learning approach for one-step Conformal Prediction approximation. - Julia A. Meister; Khuong An Nguyen; Stelios Kapetanakis; Zhiyuan Luo 001 (CoRR, 2022)

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

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

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