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ORCIDStelios Kapetanakis
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2020 – today
- 2024
[j8]Nikolaos Polatidis
, Stelios Kapetanakis, Marcello Trovati, Ioannis Korkontzelos, Yannis Manolopoulos:
FSSDroid: Feature subset selection for Android malware detection. World Wide Web (WWW) 27(5): 50 (2024)- 2023
- [c40]Saeed Seraj, Elias Pimenidis, Michalis Pavlidis, Stelios Kapetanakis, Marcello Trovati, Nikolaos Polatidis:
BotDroid: Permission-Based Android Botnet Detection Using Neural Networks. EANN 2023: 71-84 - 2022
- [c39]Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Yannis Manolopoulos:
Fast and Accurate Evaluation of Collaborative Filtering Recommendation Algorithms. ACIIDS (1) 2022: 623-634 - [i1]Julia A. Meister, Khuong An Nguyen, Stelios Kapetanakis, Zhiyuan Luo:
A novel Deep Learning approach for one-step Conformal Prediction approximation. CoRR abs/2207.12377 (2022) - 2021
- [c38]Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis:
Recommender Systems Algorithm Selection Using Machine Learning. EANN 2021: 477-487 - [c37]Eleftherios Bandis, Nikolaos Polatidis, Maria Diapouli, Stelios Kapetanakis:
Data Stream Harmonization For Heterogeneous Workflows. ECMS 2021: 42-47 - 2020
- [j7]Merton Lansley, Francois Mouton, Stelios Kapetanakis, Nikolaos Polatidis:
SEADer++: social engineering attack detection in online environments using machine learning. J. Inf. Telecommun. 4(3): 346-362 (2020) - [j6]Stelios Kapetanakis, Nikolaos Polatidis, Gharbi Alshammari, Miltos Petridis:
A novel recommendation method based on general matrix factorization and artificial neural networks. Neural Comput. Appl. 32(16): 12327-12334 (2020) - [c36]Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel:
DeepKAF: A Heterogeneous CBR & Deep Learning Approach for NLP Prototyping. INISTA 2020: 1-7 - [c35]Merton Lansley, Stelios Kapetanakis, Nikolaos Polatidis:
SEADer++ v2: Detecting Social Engineering Attacks using Natural Language Processing and Machine Learning. INISTA 2020: 1-6 - [e2]Stelios Kapetanakis, Hayley Borck:
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), Otzenhausen, Germany, September 8-12, 2019. CEUR Workshop Proceedings 2567, CEUR-WS.org 2020 [contents]
2010 – 2019
- 2019
- [j5]Nikolaos Polatidis, Elias Pimenidis, Andrew Fish, Stelios Kapetanakis:
A Guideline-Based Approach for Assisting with the Reproducibility of Experiments in Recommender Systems Evaluation. Int. J. Artif. Intell. Tools 28(8): 1960011:1-1960011:16 (2019) - [j4]Gharbi Alshammari, Jose L. Jorro-Aragoneses, Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Miltos Petridis:
A switching multi-level method for the long tail recommendation problem. J. Intell. Fuzzy Syst. 37(6): 7189-7198 (2019) - [j3]Christos Dalamagkas, Panagiotis G. Sarigiannidis, Stelios Kapetanakis, Ioannis D. Moscholios:
Dynamic scheduling in TWDM-PONs using game theory. Opt. Switch. Netw. 33: 103-113 (2019) - [j2]Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis:
Improved Movie Recommendations Based on a Hybrid Feature Combination Method. Vietnam. J. Comput. Sci. 6(3): 363-376 (2019) - [c34]Kyle Martin, Stelios Kapetanakis, Anjana Wijekoon, Kareem Amin, Stewart Massie:
Workshop preface. ICCBR Workshops 2019: 6-7 - [c33]Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis, Kareem Amin, George Samakovitis, Miltos Petridis:
Seen the villains: Detecting Social Engineering Attacks using Case-based Reasoning and Deep Learning. ICCBR Workshops 2019: 39-48 - [c32]Francis Ekpenyong, Georgios Samakovitis, Stelios Kapetanakis, Miltos Petridis:
An Ensemble Method: Case-Based Reasoning and the Inverse Problems in Investigating Financial Bubbles. ICCC 2019: 153-168 - [c31]Abdullah Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Roger Evans, Gharbi Alshammari:
Twitter User Modeling Based on Indirect Explicit Relationships for Personalized Recommendations. ICCCI (1) 2019: 93-105 - [c30]Merton Lansley, Nikolaos Polatidis, Stelios Kapetanakis:
SEADer: A Social Engineering Attack Detection Method Based on Natural Language Processing and Artificial Neural Networks. ICCCI (1) 2019: 686-696 - [c29]Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis:
A Switching Approach that Improves Prediction Accuracy for Long Tail Recommendations. IntelliSys (1) 2019: 18-28 - [c28]Kareem Amin, George Lancaster, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis:
Advanced Similarity Measures Using Word Embeddings and Siamese Networks in CBR. IntelliSys (2) 2019: 449-462 - [c27]Kareem Amin, Stelios Kapetanakis, Nikolaos Polatidis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis:
Building Knowledge Intensive Architectures for Heterogeneous NLP Workflows. SGAI Conf. 2019: 152-157 - 2018
- [j1]Mohammed Al-Obeidallah, Miltos Petridis, Stelios Kapetanakis:
A Multiple Phases Approach for Design Patterns Recovery Based on Structural and Method Signature Features. Int. J. Softw. Innov. 6(3): 36-52 (2018) - [c26]Gharbi Alshammari, Stelios Kapetanakis, Nikolaos Polatidis, Miltos Petridis:
A Triangle Multi-level Item-Based Collaborative Filtering Method that Improves Recommendations. EANN 2018: 145-157 - [c25]Stelios Kapetanakis, Michael W. Floyd:
Special Track on Case-Based Reasoning. FLAIRS 2018: 370 - [c24]Abdullah Alshammari, Stelios Kapetanakis, Roger Evans, Nikolaos Polatidis, Gharbi Alshammari:
User Modeling on Twitter with Exploiting Explicit Relationships for Personalized Recommendations. HIS 2018: 135-145 - [c23]Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis:
Answering with Cases: A CBR Approach to Deep Learning. ICCBR 2018: 15-27 - [c22]Gharbi Alshammari, Stelios Kapetanakis, Abdullah Alshammari, Nikolaos Polatidis, Miltos Petridis:
A Hybrid Feature Combination Method that Improves Recommendations. ICCCI (1) 2018: 209-218 - [c21]Nikolaos Polatidis, Stelios Kapetanakis, Elias Pimenidis, Konstantinos Kosmidis:
Reproducibility of Experiments in Recommender Systems Evaluation. AIAI 2018: 401-409 - [c20]James Alistair Hammerton, Mercè Vintró, Stelios Kapetanakis, Michele Sama:
On Character vs Word Embeddings as Input for English Sentence Classification. IntelliSys (1) 2018: 550-566 - [c19]Ritwik Kulkarni, Mercè Vintró, Stelios Kapetanakis, Michele Sama:
Performance Comparison of Popular Text Vectorising Models on Multi-class Email Classification. IntelliSys (1) 2018: 567-578 - [c18]Kareem Amin, Stelios Kapetanakis, Klaus-Dieter Althoff, Andreas Dengel, Miltos Petridis:
Dynamic Process Workflow Routing Using Deep Learning. SGAI Conf. 2018: 132-142 - [c17]Daniel O'Connor, Stelios Kapetanakis, Georgios Samakovitis, Michael W. Floyd, Santiago Ontañón, Miltos Petridis:
Autonomous Swarm Agents Using Case-Based Reasoning. SGAI Conf. 2018: 210-216 - [c16]Eleftherios Bandis, Miltos Petridis, Stelios Kapetanakis:
Business Process Workflow Mining Using Machine Learning Techniques for the Rail Transport Industry. SGAI Conf. 2018: 446-451 - 2017
- [c15]Ioannis Agorgianitis, Stelios Kapetanakis, Miltos Petridis, Andrew Fish:
Business Process Workflow Monitoring Using Distributed CBR with GPU Computing. FLAIRS 2017: 495-498 - [c14]Gharbi Alshammari, Jose L. Jorro-Aragoneses, Stelios Kapetanakis, Miltos Petridis, Juan A. Recio-García, Belén Díaz-Agudo:
A Hybrid CBR Approach for the Long Tail Problem in Recommender Systems. ICCBR 2017: 35-45 - [c13]Maria Diapouli, Stelios Kapetanakis, Miltos Petridis, Roger Evans:
Behavioural Analytics using Process Mining in On-line Advertising. ICCBR (Workshops) 2017: 147-156 - [c12]Mohammed Al-Obeidallah, Miltos Petridis, Stelios Kapetanakis:
MLDA: A Multiple Levels Detection Approach for Design Patterns Recovery. ICCDA 2017: 33-40 - [c11]Tariq Saad Al Murayziq, Stelios Kapetanakis, Miltos Petridis:
Intelligent Signal Processing for Dust Storm Prediction Using Ensemble Case-Based Reasoning. ICTAI 2017: 1267-1271 - [c10]Mohammed Al-Obeidallah, Miltos Petridis, Stelios Kapetanakis:
A Structural Rule-Based Approach for Design Patterns Recovery. SERA (selected papers) 2017: 107-124 - [c9]Vasileios Manousakis Kokorakis, Miltos Petridis, Stelios Kapetanakis:
A Blackboard Based Hybrid Multi-Agent System for Improving Classification Accuracy Using Reinforcement Learning Techniques. SGAI Conf. 2017: 47-57 - [c8]Adeyinka Adedoyin, Stelios Kapetanakis, Georgios Samakovitis, Miltos Petridis:
Predicting Fraud in Mobile Money Transfer Using Case-Based Reasoning. SGAI Conf. 2017: 325-337 - [c7]Tariq Saad Al Murayziq, Stelios Kapetanakis, Miltos Petridis:
Predicting Dust Storms Using Hybrid Intelligence System. SGAI Conf. 2017: 338-351 - [e1]Alexandra Coman, Stelios Kapetanakis:
Workshops Proceedings for the Twenty-fourth International Conference on Case-Based Reasoning (ICCBR 2016), Atlanta, Georgia, USA, October 31 - November 2, 2016. CEUR Workshop Proceedings 1815, CEUR-WS.org 2017 [contents] - 2016
- [c6]Ioannis Agorgianitis, Miltos Petridis, Stelios Kapetanakis, Andrew Fish:
Evaluating Distributed Methods for CBR Systems for Monitoring Business Process Workflows. ICCBR Workshops 2016: 122-131 - [c5]Adeyinka Adedoyin, Stelios Kapetanakis, Miltos Petridis, Emmanouil Panaousis:
Evaluating Case-Based Reasoning Knowledge Discovery in Fraud Detection. ICCBR Workshops 2016: 182-191 - [c4]Maria Diapouli, Miltos Petridis, Roger Evans, Stelios Kapetanakis:
An Industrial Application of Data Mining Techniques to Enhance the Effectiveness of On-Line Advertising. SGAI Conf. 2016: 391-397 - 2015
- [c3]Shaun Shei, Aidan J. Delaney, Stelios Kapetanakis, Haralambos Mouratidis:
Visually Mapping Requirements Models to Cloud Services. DMS 2015: 108-114 - 2010
- [c2]Stelios Kapetanakis, Miltos Petridis, Jixin Ma, Liz Bacon:
Providing Explanations for the Intelligent Monitoring of Business Workflows Using Case-Based Reasoning. ExaCt 2010: 25-36 - [c1]Stelios Kapetanakis, Miltos Petridis, Brian Knight, Jixin Ma, Liz Bacon:
A Case Based Reasoning Approach for the Monitoring of Business Workflows. ICCBR 2010: 390-405
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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