Stelios Kapetanakis

Orcid: 0000-0003-1749-7327

According to our database1, Stelios Kapetanakis authored at least 49 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
FSSDroid: Feature subset selection for Android malware detection.
World Wide Web (WWW), September, 2024

2023
BotDroid: Permission-Based Android Botnet Detection Using Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
A novel Deep Learning approach for one-step Conformal Prediction approximation.
CoRR, 2022

Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms.
Proceedings of the Intelligent Information and Database Systems - 14th Asian Conference, 2022

2021
Data Stream Harmonization For Heterogeneous Workflows.
Proceedings of the 35th International ECMS International Conference on Modelling and Simulation, 2021

Recommender Systems Algorithm Selection Using Machine Learning.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

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

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

DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2020

2019
Improved Movie Recommendations Based on a Hybrid Feature Combination Method.
Vietnam. J. Comput. Sci., 2019

Dynamic scheduling in TWDM-PONs using game theory.
Opt. Switch. Netw., 2019

A switching multi-level method for the long tail recommendation problem.
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

Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows.
Proceedings of the Artificial Intelligence XXXVI, 2019

Advanced Similarity Measures Using Word Embeddings and Siamese Networks in CBR.
Proceedings of the Intelligent Systems and Applications, 2019

A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations.
Proceedings of the Intelligent Systems and Applications, 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

An Ensemble Method: Case-Based Reasoning and the Inverse Problems in Investigating Financial Bubbles.
Proceedings of the Cognitive Computing - ICCC 2019, 2019

Workshop preface.
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

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
A Multiple Phases Approach for Design Patterns Recovery Based on Structural and Method Signature Features.
Int. J. Softw. Innov., 2018

Autonomous Swarm Agents Using Case-Based Reasoning.
Proceedings of the Artificial Intelligence XXXV, 2018

Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry.
Proceedings of the Artificial Intelligence XXXV, 2018

Dynamic Process Workflow Routing Using Deep Learning.
Proceedings of the Artificial Intelligence XXXV, 2018

Performance Comparison of Popular Text Vectorising Models on Multi-class Email Classification.
Proceedings of the Intelligent Systems and Applications, 2018

On Character vs Word Embeddings as Input for English Sentence Classification.
Proceedings of the Intelligent Systems and Applications, 2018

Reproducibility of Experiments in Recommender Systems Evaluation.
Proceedings of the Artificial Intelligence Applications and Innovations, 2018

A Hybrid Feature Combination Method that Improves Recommendations.
Proceedings of the Computational Collective Intelligence - 10th International Conference, 2018

Answering with Cases: A CBR Approach to Deep Learning.
Proceedings of the Case-Based Reasoning Research and Development, 2018

User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations.
Proceedings of the Hybrid Intelligent Systems, 2018

Special Track on Case-Based Reasoning.
Proceedings of the Thirty-First International Florida Artificial Intelligence Research Society Conference, 2018

A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations.
Proceedings of the Engineering Applications of Neural Networks, 2018

2017
Predicting Dust Storms Using Hybrid Intelligence System.
Proceedings of the Artificial Intelligence XXXIV, 2017

A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques.
Proceedings of the Artificial Intelligence XXXIV, 2017

Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning.
Proceedings of the Artificial Intelligence XXXIV, 2017

A Structural Rule-Based Approach for Design Patterns Recovery.
Proceedings of the Software Engineering Research, 2017

Intelligent Signal Processing for Dust Storm Prediction Using Ensemble Case-Based Reasoning.
Proceedings of the 29th IEEE International Conference on Tools with Artificial Intelligence, 2017

MLDA: A Multiple Levels Detection Approach for Design Patterns Recovery.
Proceedings of the International Conference on Compute and Data Analysis, 2017

Behavioural Analytics using Process Mining in On-line Advertising.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems.
Proceedings of the Case-Based Reasoning Research and Development, 2017

Business Process Workflow Monitoring Using Distributed CBR with GPU Computing.
Proceedings of the Thirtieth International Florida Artificial Intelligence Research Society Conference, 2017

2016
An Industrial Application of Data Mining Techniques to Enhance the Effectiveness of On-Line Advertising.
Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows.
Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

Evaluating Case-Based Reasoning Knowledge Discovery in Fraud Detection.
Proceedings of the Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31, 2016

2015
Visually Mapping Requirements Models to Cloud Services.
Proceedings of the 21st International Conference on Distributed Multimedia Systems, Vancouver, Canada, August 31, 2015

2010
A Case Based Reasoning Approach for the Monitoring of Business Workflows.
Proceedings of the Case-Based Reasoning. Research and Development, 2010

Providing Explanations for the Intelligent Monitoring of Business Workflows Using Case-Based Reasoning.
Proceedings of the Explanation-aware Computing, 2010


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