All Outputs (5)

Establishing the informational requirements for modelling open domain dialogue and prototyping a retrieval open domain dialogue system (2021)
Conference Proceeding
Meier, T., & Pimenidis, E. (2021). Establishing the informational requirements for modelling open domain dialogue and prototyping a retrieval open domain dialogue system. In N. Nguyen, L. Iliadis, I. Maglogiannis, & B. Trawiński (Eds.), Computational Collective Intelligence (655-667). https://doi.org/10.1007/978-3-030-88081-1_49

Open domain dialogue systems aim to coherently respond to users over long conversations through multiple conversational turns. Modelling open domain dialogue is challenging as both the syntactic and semantic features of language play a role in respon... Read More about Establishing the informational requirements for modelling open domain dialogue and prototyping a retrieval open domain dialogue system.

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.

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.

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.