All Outputs (41)

Fast and accurate evaluation of collaborative filtering recommendation algorithms (2022)
Presentation / Conference Contribution

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.

An integrated online/offline social network-based model for crowdfunding support in developing countries: The case of Nigeria (2022)
Journal Article

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

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)
Presentation / Conference Contribution

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

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.

Variational restricted Boltzmann machines to automated anomaly detection (2022)
Journal Article

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

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)
Presentation / Conference Contribution

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.

Recommender systems algorithm selection using machine learning (2021)
Presentation / Conference Contribution

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.

Blockchained Αdaptive Federated Auto Meta Learning Big Data and DevOps CyberSecurity Architecture in Industry 4.0 (2021)
Presentation / Conference Contribution

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.

Proceedings of the 22nd Engineering Applications of Neural Networks Conference: EANN 2021 (2021)
Book

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)
Presentation / Conference Contribution

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

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)
Presentation / Conference Contribution

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)
Presentation / Conference Contribution

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

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)
Presentation / Conference Contribution

© 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

© 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)
Presentation / Conference Contribution

© 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)
Presentation / Conference Contribution

© 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.