Problem classification for tailored help desk auto replies (2022)
Conference Proceeding
Nicholls, R., Fellows, R., Battle, S., & Ihshaish, H. (2022). Problem classification for tailored help desk auto replies. In E. Pimenidis, P. Angelov, C. Jayne, A. Papaleonidas, & M. Aydin (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2022 (445-454). https://doi.org/10.1007/978-3-031-15937-4_37

IT helpdesks are charged with the task of responding quickly to user queries. To give the user confidence that their query matters, the helpdesk will auto-reply to the user with confirmation that their query has been received and logged. This auto-re... Read More about Problem classification for tailored help desk auto replies.

An integrated online/offline social network-based model for crowdfunding support in developing countries: The case of Nigeria (2022)
Journal Article
Ogwu, K., Hickey, P., Okeke, O. J. P., Haque, A. U., Pimenidis, E., & Kozlovski, E. (2022). An integrated online/offline social network-based model for crowdfunding support in developing countries: The case of Nigeria. Sustainability, 14(15), e9333. https://doi.org/10.3390/su14159333

This paper is one of the first attempts to address the fundamental barriers to the adoption of online crowdfunding mechanisms in a developing country by offering a new online/offline fundraising model. The focus is on Nigeria as a typical example of... Read More about An integrated online/offline social network-based model for crowdfunding support in developing countries: The case of Nigeria.

An explainable semi-personalized federated learning model (2022)
Journal Article
Demertzis, K., Iliadis, L., Kikiras, P., & Pimenidis, E. (2022). An explainable semi-personalized federated learning model. Integrated Computer-Aided Engineering, 29(4), 335-350. https://doi.org/10.3233/ICA-220683

Training a model using batch learning requires uniform data storage in a repository. This approach is intrusive, as users have to expose their privacy and exchange sensitive data by sending them to central entities to be preprocessed. Unlike the afor... Read More about An explainable semi-personalized federated learning model.

Supporting patient nutrition in critical care units (2022)
Conference Proceeding
Soomro, K., Pimenidis, E., & McWilliams, C. (2022). Supporting patient nutrition in critical care units. In Engineering Applications of Neural Networks: EANN 2022: Engineering Applications of Neural Networks (128-136). https://doi.org/10.1007/978-3-031-08223-8_11

Critical Care Unit (CCU) patients often benefit from being referred to dietitians for various reasons. This can help improve recovery time, resulting in more effective utilisation of valuable resources within the NHS (National Health Service) in the... Read More about Supporting patient nutrition in critical care units.

Design issues of a pan European smart cross border ‘dream like’ e-Gov primary healthcare medical service (2022)
Journal Article
Sideridis, A. B., Pimenidis, E., Protopappas, L., Yialouris, C., Maragkopoulos, V. -. A., & Chatziandreou, A. (2022). Design issues of a pan European smart cross border ‘dream like’ e-Gov primary healthcare medical service. International Journal of Electronic Governance, 14(1-2), 172-194. https://doi.org/10.1504/IJEG.2022.123252

The EU Commission has provided its members regulation and systems for the development of services enabling cross border transactions, but the full practice of these is modest. An exception can be made in cases where there’s personal data processing.... Read More about Design issues of a pan European smart cross border ‘dream like’ e-Gov primary healthcare medical service.

Fast and accurate evaluation of collaborative filtering recommendation algorithms (2022)
Conference Proceeding
Polatidis, N., Kapetanakis, S., Pimenidis, E., & ManolopouLos, Y. (in press). Fast and accurate evaluation of collaborative filtering recommendation algorithms.

Collaborative filtering are recommender systems algorithms that provide personalized recommendations to users in various online environments such as movies, music, books, jokes and others. There are many such recommendation algorithms and, regarding... Read More about Fast and accurate evaluation of collaborative filtering recommendation algorithms.

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.

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. Trawi?ski (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 ?daptive 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 ?daptive 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 ?daptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0.