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Outputs (44)

Fast and accurate evaluation of collaborative filtering recommendation algorithms (2022)
Conference Proceeding
Polatidis, N., Kapetanakis, S., Pimenidis, E., & Manolopoulos, Y. (2022). Fast and accurate evaluation of collaborative filtering recommendation algorithms. In N. Thanh Nguyen, T. Khoa Tran, U. Tukayev, T. Hong, B. Trawiński, & E. Szczerbicki (Eds.), ACIIDS 2022: Intelligent Information and Database Systems (623-634). https://doi.org/10.1007/978-3-031-21743-2_50

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.

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.

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. 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.

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. (2021). Geo-AI to aid disaster response by memory-augmented deep reservoir computing. Integrated Computer-Aided Engineering, 28(4), 383-398. 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 Conference. https://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), Article 1960011. 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 N. T. Nguyen, & R. Kowalczyk (Eds.), Transactions on Computational Collective Intelligence XXX (54-70). 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 Networks. Switzerland: Springer 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.

E-voting vs. e-trust: A test bed for e-democracy in a world in crisis? (2017)
Journal Article
Shat, F., & Pimenidis, E. (2017). E-voting vs. e-trust: A test bed for e-democracy in a world in crisis?. International Journal of Electronic Governance, 9(3/4), 229-245. https://doi.org/10.1504/IJEG.2017.10006254

The world is currently experiencing a number of real challenges in the face of persistent economic crisis, local conflicts and huge waves of refugees. All of the above are affecting secure access to, completion of peoples’voting rights and participat... Read More about E-voting vs. e-trust: A test bed for e-democracy in a world in crisis?.

A method for privacy-preserving collaborative filtering recommendations (2017)
Journal Article
Georgiadis, C., Polatidis, N., Mouratidis, H., & Pimenidis, E. (2017). A method for privacy-preserving collaborative filtering recommendations. Journal of Universal Computer Science, 23(2), 146-166

With the continuous growth of the Internet and the progress of electronic commerce the issues of product recommendation and privacy protection are becoming increasingly important. Recommender Systems aim to solve the information overload problem by p... Read More about A method for privacy-preserving collaborative filtering recommendations.

Privacy-preserving recommendations in context-aware mobile environments (2017)
Journal Article
Stiakakis, E., Georgiadis, C. K., Polatidis, N., & Pimenidis, E. (2017). Privacy-preserving recommendations in context-aware mobile environments. Information and Computer Security, 25(1), 62-79. https://doi.org/10.1108/ICS-04-2016-0028

© Emerald Publishing Limited. Purpose - This paper aims to address privacy concerns that arise from the use of mobile recommender systems when processing contextual information relating to the user. Mobile recommender systems aim to solve the informa... Read More about Privacy-preserving recommendations in context-aware mobile environments.

Recommender systems meeting security: From product recommendation to cyber-attack prediction (2017)
Journal Article
Pavlidis, M., Polatidis, N., Pimenidis, E., & Mouratidis, H. (2017). Recommender systems meeting security: From product recommendation to cyber-attack prediction. Communications in Computer and Information Science, 744, 508-519. https://doi.org/10.1007/978-3-319-65172-9_43

© Springer International Publishing AG 2017. 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 be... Read More about Recommender systems meeting security: From product recommendation to cyber-attack prediction.

Towards effective e-voting system for refugees: Lessons from the case of Palestine (2016)
Presentation / Conference
Shat, F. J., Abbott, P., & Pimenidis, E. (2016, December). Towards effective e-voting system for refugees: Lessons from the case of Palestine. Paper presented at Annual Workshop of the AIS Special Interest Group for ICT in Global Development, Dublin, Ireland

Significant global challenges related to persistent economic crises, local conflicts and continuous waves of refugees being displaced from their countries of origin are affecting secure access to and completion of people’s voting rights. The relevant... Read More about Towards effective e-voting system for refugees: Lessons from the case of Palestine.

Privacy-preserving collaborative recommendations based on random perturbations (2016)
Journal Article
Polatidis, N., Georgiadis, C. K., Pimenidis, E., & Mouratidis, H. (2017). Privacy-preserving collaborative recommendations based on random perturbations. Expert Systems with Applications, 71, 18-25. https://doi.org/10.1016/j.eswa.2016.11.018

© 2016 Elsevier Ltd Collaborative recommender systems offer a solution to the information overload problem found in online environments such as e-commerce. The use of collaborative filtering, the most widely used recommendation method, gives rise to... Read More about Privacy-preserving collaborative recommendations based on random perturbations.

E-voting versus e-trust: A case for e-democracy in Palestine (2016)
Journal Article
Shat, F., & Pimenidis, E. (2016). E-voting versus e-trust: A case for e-democracy in Palestine

The world at present is facing a number of real challenges in the face of persistent economic crisis, local conflicts and huge waves of refugees. All of the above are affecting secure access to and completion of peoples voting rights. The relevant te... Read More about E-voting versus e-trust: A case for e-democracy in Palestine.

Utilizing linked open data for web service selection and composition to support e-commerce transactions (2016)
Journal Article
Georgiadis, C. K., Vesyropoulos, N., Georgiadis, C., & Pimenidis, E. (2016). Utilizing linked open data for web service selection and composition to support e-commerce transactions. Lecture Notes in Artificial Intelligence, 9875 LNCS, 533-541. https://doi.org/10.1007/978-3-319-45243-2_49

© Springer International Publishing Switzerland 2016. Web Services (WS) have emerged during the past decades as a means for loosely coupled distributed systems to interact and communicate. Nevertheless, the abundance of services that can be retrieved... Read More about Utilizing linked open data for web service selection and composition to support e-commerce transactions.

Social media and E-voting – A secure and trusted political forum for palestine (2016)
Journal Article
Shat, F., & Pimenidis, E. (2016). Social media and E-voting – A secure and trusted political forum for palestine. Communications in Computer and Information Science, 630, 290-302. https://doi.org/10.1007/978-3-319-51064-4_23

© Springer International Publishing AG 2016. Electronic Government applications are nowadays a common tool for governments across the globe. The success rate in gaining the trust of citizens/users and the rates of participation in democratic processe... Read More about Social media and E-voting – A secure and trusted political forum for palestine.

Smart cross-border e-Gov systems and applications (2015)
Presentation / Conference
Sideridis, A., Protopappas, L., Tsiafoulis, S., & Pimenidis, E. (2015, December). Smart cross-border e-Gov systems and applications. Paper presented at 6th International Conference on e-Democracy, Athens, Greece

Recent developments on ICT innovations like Internet of Things, Cloud Computing and Big Data encourage further the design and application of "Smart" e-Government Systems and applications to citizens and business. These smart systems are aiming to imp... Read More about Smart cross-border e-Gov systems and applications.

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.

Ensuring cloud security: Current concerns and research challenges (2014)
Journal Article
Vesyropoulos, N., Georgiadis, C. K., & Pimenidis, E. (2014). Ensuring cloud security: Current concerns and research challenges. Communications in Computer and Information Science, 441, 3-10. https://doi.org/10.1007/978-3-319-11710-2_1

© Springer International Publishing Switzerland 2014. Over the past few years Cloud computing has been widely accepted and adopted as an alternative way for businesses to store data, communicate and operate. Consumers and enterprises regard this as a... Read More about Ensuring cloud security: Current concerns and research challenges.

Electronic government enactment in a small developing country – the Palestinian authority’s policy and practice (2014)
Journal Article
Shat, F. J. F., Shat, F. J. F., Mousavi, A., & Pimenidis, E. (2014). Electronic government enactment in a small developing country – the Palestinian authority’s policy and practice. Communications in Computer and Information Science, 441, 83-92. https://doi.org/10.1007/978-3-319-11710-2_8

© Springer International Publishing Switzerland 2014. Successful implementation and utilization of electronic government in Palestine has been challenging field for the Palestinian authority, businesses and dispersed citizens. Our research provides a... Read More about Electronic government enactment in a small developing country – the Palestinian authority’s policy and practice.

Can e-Government applications contribute to performance improvement in public administration? (2014)
Journal Article
Pimenidis, E., & Georgiadis, C. K. (2014). Can e-Government applications contribute to performance improvement in public administration?. International Journal of Operations Research and Information Systems, 5(1), 48-57. https://doi.org/10.4018/ijoris.2014010104

Electronic Government applications have been the focus of hundreds of local and national government administrations all over the world during the past decade. The emphasis of most of these applications lies in their effort to improve the experience o... Read More about Can e-Government applications contribute to performance improvement in public administration?.

Fuzzy graphs: Algebraic structure and syntactic recognition (2013)
Journal Article
Kalampakas, A., Spartalis, S., Iliadis, L., & Pimenidis, E. (2014). Fuzzy graphs: Algebraic structure and syntactic recognition. Artificial Intelligence Review, 42(3), 479-490. https://doi.org/10.1007/s10462-013-9412-0

© Springer Science+Business Media Dordrecht 2013. Directed fuzzy hypergraphs are introduced as a generalization of both crisp directed hypergraphs and directed fuzzy graphs. It is proved that the set of all directed fuzzy hypergraphs can be structure... Read More about Fuzzy graphs: Algebraic structure and syntactic recognition.

Web services for rural areas-Security challenges in development and use (2010)
Journal Article
Pimenidis, E., & Georgiadis, C. K. (2010). Web services for rural areas-Security challenges in development and use. Computers and Electronics in Agriculture, 70(2), 348-354. https://doi.org/10.1016/j.compag.2009.07.016

Web services (WS) are the modern response of traders and online service providers to satisfying the increasing needs and demands of the digital communities. WS formation and operation is based on a software system designed to support interoperable ma... Read More about Web services for rural areas-Security challenges in development and use.