activity
20202026
most citedBlockchain-based Recommender Systems: Applications, Challenges and Future Opportunities

102 citations · 216 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CR2026

SEAL-DT: An End-to-End Security Engineering and Assurance Framework for Cross-Domain Digital Twins

Iraklis Varlamis, Stelios Zindros, Christos Sardianos +3

Cyber-physical systems connect physical processes, software, networks and organizations. Securing them requires a clear account of what happened, what was observed, which actions w…

cs.AI2026

HANSARD: A Reference Architecture for Forensic Readiness, Runtime Witnessing, and Graded Attribution in Autonomous Multi-Agent AI Systems

Christos Sardianos, Iliana Pla, Vasilis Efthymiou +4

Autonomous multi-agent systems nowadays act in finance, software supply chains, and security operations. Already, the first largely AI-orchestrated intrusion campaigns have been re…

cs.LG2024

Exploring Machine Learning Algorithms for Infection Detection Using GC-IMS Data: A Preliminary Study

Christos Sardianos, Chrysostomos Symvoulidis, Matthias Schlögl +2

The developing field of enhanced diagnostic techniques in the diagnosis of infectious diseases, constitutes a crucial domain in modern healthcare. By utilizing Gas Chromatography-I…

cs.AI2023★ 8 cited

Multimodal Explainable Artificial Intelligence: A Comprehensive Review of Methodological Advances and Future Research Directions

Nikolaos Rodis, Christos Sardianos, Panagiotis Radoglou-Grammatikis +3

Despite the fact that Artificial Intelligence (AI) has boosted the achievement of remarkable results across numerous data analysis tasks, however, this is typically accompanied by…

cs.AI2022★ 5 cited

AI-as-a-Service Toolkit for Human-Centered Intelligence in Autonomous Driving

Valerio De Caro, Saira Bano, Achilles Machumilane +11

This paper presents a proof-of-concept implementation of the AI-as-a-Service toolkit developed within the H2020 TEACHING project and designed to implement an autonomous driving per…

cs.IR2021★ 102 cited

Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities

Yassine Himeur, Aya Sayed, Abdullah Alsalemi +6

Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the a…

cs.AI2021

TEACHING -- Trustworthy autonomous cyber-physical applications through human-centred intelligence

Davide Bacciu, Siranush Akarmazyan, Eric Armengaud +32

This paper discusses the perspective of the H2020 TEACHING project on the next generation of autonomous applications running in a distributed and highly heterogeneous environment c…

physics.soc-ph2021

Marketability of building energy efficiency systems based on behavioral change: A case study of a novel micro-moments based solution

Yassine Himeur, Abdullah Alsalemi, Faycal Bensaali +5

In spite of the substantial advance in developing energy-efficient buildings, power demand in the building sector is still remarkably growing due to teleworking and e-learning trig…

cs.IR2021

A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects

Yassine Himeur, Abdullah Alsalemi, Ayman Al-Kababji +5

Recommender systems have significantly developed in recent years in parallel with the witnessed advancements in both internet of things (IoT) and artificial intelligence (AI) techn…

cs.AI2020★ 98 cited

The emergence of Explainability of Intelligent Systems: Delivering Explainable and Personalised Recommendations for Energy Efficiency

Christos Sardianos, Iraklis Varlamis, Christos Chronis +5

The recent advances in artificial intelligence namely in machine learning and deep learning, have boosted the performance of intelligent systems in several ways. This gave rise to…

cs.CY2020★ 3 cited

Reshaping consumption habits by exploiting energy-related micro-moment recommendations: A case study

Christos Sardianos, Iraklis Varlamis, Christos Chronis +5

The environmental change and its effects, caused by human influences and natural ecological processes over the last decade, prove that it is now more prudent than ever to transitio…