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Blockchain and artificial intelligence – Managing a secure and sustainable supply chain (2021)
Book Chapter
Pimenidis, E., Patsavellas, J., & Tonkin, M. (2021). Blockchain and artificial intelligence – Managing a secure and sustainable supply chain. In H. Jahankhani, A. Jamal, & S. Lawson (Eds.), Cybersecurity, Privacy and Freedom Protection in the Connected World. (1). Springer. https://doi.org/10.1007/978-3-030-68534-8

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services. Regardless of whether the operations are mostly physical or online, managing supply chains largely relies on being able t... Read More about Blockchain and artificial intelligence – Managing a secure and sustainable supply chain.

Design issues of a pan European Smart Cross Border "dream like" e-Gov primary health care medical service (2021)
Journal Article
Sideridis, A. B., Pimenidis, E., Protopappas, L., Yialouris, C., Maragkopoulos, V. -. A., & Chatziandreou, A. (in press). Design issues of a pan European Smart Cross Border "dream like" e-Gov primary health care medical service. International Journal of Electronic Governance,

The European Commission of the European Union has provided Member States with the appropriate regulation and systems for the development of services facilitating cross border transactions. So far there has been little progress in putting such servic... Read More about Design issues of a pan European Smart Cross Border "dream like" e-Gov primary health care medical service.

Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0 (2021)
Conference Proceeding
Kikiras, P., Koziri, M., Tziritas, N., Pimenidis, E., Iliadis, L., & Demertzis, K. (2021). Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0. In Proceedings of the 22nd Engineering Applications of Neural Networks Conference (345-363). https://doi.org/10.1007/978-3-030-80568-5_29

Maximizing the production process in modern industry, as proposed by Industry 4.0, requires extensive use of Cyber-Physical Systems (CbPS). Artificial intelligence technologies, through CbPS, allow monitoring of natural processes , making autonomous,... Read More about Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0.

Recommender systems algorithm selection using machine learning (2021)
Conference Proceeding
Pimenidis, E., Kapetanakis, S., & Polatidis, N. (2021). Recommender systems algorithm selection using machine learning. In Proceedings of the 22nd Engineering Applications of Neural Networks Conference (477-487). https://doi.org/10.1007/978-3-030-80568-5_39

This article delivers a methodology for recommender system algorithm selection using a machine learning classifier. Initially, statistical data from real collaborative filtering recommender systems have been collected to form the basis for a syntheti... Read More about Recommender systems algorithm selection using machine learning.

Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021 (2021)
Book
Iliadis, L., Macintyre, J., Jayne, C., & Pimenidis, E. (Eds.). (2021). Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021. Springer. https://doi.org/10.1007/978-3-030-80568-5

This book contains the proceedings of the 22nd EANN “Engineering Applications of Neural Networks” 2021 that comprise of research papers on both theoretical foundations and cutting-edge applications of artificial intelligence. Based on the discussed r... Read More about Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021.

Federated blockchained supply chain management: A cybersecurity and privacy framework (2021)
Conference Proceeding
Demertzis, K., Iliadis, L., Pimenidis, E., Tziritas, N., Koziri, M., Kikiras, P., & Tonkin, M. (2021). Federated blockchained supply chain management: A cybersecurity and privacy framework. In I. Maglogiannis, J. Macintyre, & L. Iliadis (Eds.), Artificial Intelligence Applications and Innovations (769-779). https://doi.org/10.1007/978-3-030-79150-6_60

The complete transformation of the supply chain in a truly integrated and fully automated process, presupposes the continuous and endless collection of digital information from every stage of the production scale. The aim is not only to investigate t... Read More about Federated blockchained supply chain management: A cybersecurity and privacy framework.

Geo-AI to aid disaster response by memory-augmented deep reservoir computing (2021)
Journal Article
Demertzis, K., Iliadis, L., & Pimenidis, E. (in press). Geo-AI to aid disaster response by memory-augmented deep reservoir computing. Integrated Computer-Aided Engineering, https://doi.org/10.3233/ICA-210657

It is a fact that natural disasters often cause severe damage both to ecosystems and humans. Moreover, man-made disasters can have enormous moral and economic consequences for people. A typical example is the large deadly and catastrophic explosion i... Read More about Geo-AI to aid disaster response by memory-augmented deep reservoir computing.

Blockchain and artificial intelligence -Managing a secure and sustainable supply chain (2021)
Conference Proceeding
Pimenidis, E., Patsavellas, J., & Tonkin, M. (2021). Blockchain and artificial intelligence -Managing a secure and sustainable supply chain. In Cybersecurity, Privacy and Freedom Protection in the Connected World (367-377). https://doi.org/10.1007/978-3-030-68534-8_23

Supply chain management is often the most challenging part of any business that manufactures, sells goods, or provides services nowadays. Regardless of whether the operations are mostly physical or online, managing supply chains relies entirely on be... Read More about Blockchain and artificial intelligence -Managing a secure and sustainable supply chain.

Automated screening of patients for dietician referral (2020)
Conference Proceeding
Soomro, K., & Pimenidis, E. (2020). Automated screening of patients for dietician referral. In L. Iliadis, P. Angelov, C. Jayne, & E. Pimenidis (Eds.), Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conferencehttps://doi.org/10.1007/978-3-030-48791-1_24

Critical Care Units (CCU) in a hospital treat the severely sick patients that need constant monitoring and close medical attention. Feeding patients, enteral feeding in particular, is a critical and continuous process. Monitoring patients, managing t... Read More about Automated screening of patients for dietician referral.

A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation (2019)
Journal Article
Polatidis, N., Pimenidis, E., Fish, A., & Kapetanakis, S. (2019). A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation. International Journal on Artificial Intelligence Tools, 28(8), https://doi.org/10.1142/S021821301960011X

Recommender systems' evaluation is usually based on predictive accuracy and information retrieval metrics, with better scores meaning recommendations are of higher quality. However, new algorithms are constantly developed and the comparison of result... Read More about A guideline-based approach for assisting with the reproducibility of experiments in recommender systems evaluation.

A switching multi-level method for the long tail recommendation problem (2019)
Journal Article
Alshammari, G., Jorro-Aragoneses, J. L., Polatidis, N., Kapetanakis, S., Pimenidis, E., & Petridis, M. (2019). A switching multi-level method for the long tail recommendation problem. Journal of Intelligent and Fuzzy Systems, 37(6), 7189-7198. https://doi.org/10.3233/JIFS-179331

© 2019 - IOS Press and the authors. All rights reserved. Recommender systems are decision support systems that play an important part in generating a list of product or service recommendations for users based on the past experiences and interactions.... Read More about A switching multi-level method for the long tail recommendation problem.

An explanation-based approach for experiment reproducibility in recommender systems (2019)
Journal Article
Polatidis, N., Papaleonidas, A., Pimenidis, E., & Iliadis, L. (in press). An explanation-based approach for experiment reproducibility in recommender systems. Neural Computing and Applications, https://doi.org/10.1007/s00521-019-04274-x

© 2019, Springer-Verlag London Ltd., part of Springer Nature. The offline evaluation of recommender systems is typically based on accuracy metrics such as the Mean Absolute Error and the Root Mean Squared Error for error rating prediction and Precisi... Read More about An explanation-based approach for experiment reproducibility in recommender systems.

Secure Social Media Spaces for Communities of Vulnerable People (2019)
Conference Proceeding
Pimenidis, E., & Polatidis, N. (2019). Secure Social Media Spaces for Communities of Vulnerable People. https://doi.org/10.1109/ICGS3.2019.8688027

© 2019 IEEE. This paper presents a proposal for developing secure social media spaces for groups of people that could be vulnerable to external influences. These could be refuges from war torn or politically unstable countries that could be persecute... Read More about Secure Social Media Spaces for Communities of Vulnerable People.

Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms (2019)
Conference Proceeding
Papaleonidas, A., Pimenidis, E., & Iliadis, L. (2019). Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms. In J. MacIntyre, I. Maglogiannis, L. Iliadis, & E. Pimenidis (Eds.), https://doi.org/10.1007/978-3-030-19823-7_54

© 2019, IFIP International Federation for Information Processing. A recommender system uses specific algorithms and techniques in order to suggest specific services, goods or other type of recommendations that users could be interested in. User’s pre... Read More about Hybrid Data Set Optimization in Recommender Systems Using Fuzzy T-Norms.

An approach for Web Service selection and dynamic composition based on Linked open Data (2018)
Book Chapter
Vesyropoulos, N., Georgiadis, C., & Pimenidis, E. (2018). An approach for Web Service selection and dynamic composition based on Linked open Data. In R. Kowalczyk, & N. T. Nguyen (Eds.), Transactions on Computational Collective Intelligence XXX, (54-71). Springer. https://doi.org/10.1007/978-3-319-99810-7_3

The wide adoption of the Service Oriented Architecture (SOA) paradigm has provided a means for heterogeneous systems to seamlessly interact and exchange data. Thus, enterprises and end-users have widely utilized Web Services (WS), either as stand-alo... Read More about An approach for Web Service selection and dynamic composition based on Linked open Data.

Reproduction of experiments in recommender systems evaluation based on explanations (2018)
Book Chapter
Polatidis, N., & Pimenidis, E. (2018). Reproduction of experiments in recommender systems evaluation based on explanations. In E. Pimenidis, & C. Jayne (Eds.), Engineering Applications of Neural NetworksSpringer International Publishing AG. https://doi.org/10.1007/978-3-319-98204-5

The offline evaluation of recommender systems is typically based on accuracy metrics such as the Mean Absolute Error (MAE) and the Root Mean Squared Error (RMSE), while on the other hand Precision and Recall is used to measure the quality of the top-... Read More about Reproduction of experiments in recommender systems evaluation based on explanations.

Mobile recommender systems: Identifying the major concepts (2018)
Journal Article
Pimenidis, E., Polatidis, N., & Mouratidis, H. (2019). Mobile recommender systems: Identifying the major concepts. Journal of Information Science, 45(3), 387-397. https://doi.org/10.1177/0165551518792213

© The Author(s) 2018. This article identifies the factors that have an impact on mobile recommender systems. Recommender systems have become a technology that has been widely used by various online applications in situations where there is an informa... Read More about Mobile recommender systems: Identifying the major concepts.

From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks (2018)
Journal Article
Polatidis, N., Pimenidis, E., Pavlidis, M., Papastergiou, S., & Mouratidis, H. (2020). From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks. Evolving Systems, 11(2), 479-490. https://doi.org/10.1007/s12530-018-9234-z

Modern information society depends on reliable functionality of information systems infrastructure, while at the same time the number of cyber-attacks has been increasing over the years and damages have been caused. Furthermore, graphs can be used to... Read More about From product recommendation to cyber-attack prediction: generating attack graphs and predicting future attacks.

Reproducibility of experiments in recommender systems evaluation (2018)
Journal Article
Polatidis, N., Kapetanakis, S., Pimenidis, E., & Kosmidis, K. (2018). Reproducibility of experiments in recommender systems evaluation. IFIP Advances in Information and Communication Technology, 519, 401-409. https://doi.org/10.1007/978-3-319-92007-8_34

© IFIP International Federation for Information Processing 2018 Published by Springer International Publishing AG 2018. All Rights Reserved. Recommender systems evaluation is usually based on predictive accuracy metrics with better scores meaning rec... Read More about Reproducibility of experiments in recommender systems evaluation.

Smart Cross-Border e-Gov Systems: An application to refugee mobility (2017)
Journal Article
Sideridis, A., Protopappas, L., Tsiafoulis, S., & Pimenidis, E. (2017). Smart Cross-Border e-Gov Systems: An application to refugee mobility. International Journal of Electronic Governance, 9(3/4), 246-266. https://doi.org/10.1504/IJEG.2017.10006256

Smart Cross-Border e-Government Systems for citizens and business have been recently proposed to further improve everyday lives, expand business fron-tiers, and facilitate the movement of citizens by reducing the constraints imposed by existing borde... Read More about Smart Cross-Border e-Gov Systems: An application to refugee mobility.