Variational restricted Boltzmann machines to automated anomaly detection (2022)
Journal Article
Demertzis, K., Iliadis, L., Pimenidis, E., & Kikiras, P. (2022). Variational restricted Boltzmann machines to automated anomaly detection. Neural Computing and Applications, 34, 15207–15220. https://doi.org/10.1007/s00521-022-07060-4

Data-driven methods are implemented using particularly complex scenarios that reflect in-depth perennial knowledge and research. Hence, the available intelligent algorithms are completely dependent on the quality of the available data. This is not po... Read More about Variational restricted Boltzmann machines to automated anomaly detection.

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.

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.

A method for privacy-preserving context-aware mobile recommendations (2015)
Presentation / Conference
Polatidis, N., Georgiadis, C., Pimenidis, E., & Stiakakis, E. (2015, December). A method for privacy-preserving context-aware mobile recommendations. Paper presented at 6th International Conference on e-Democracy, Athens, Greece

Mobile recommender systems aim to solve the information overload problem found by recommending products or services to users of mobile smartphones or tables at any given point in time and in any possible location. Mobile recommender systems are desig... Read More about A method for privacy-preserving context-aware mobile recommendations.