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20212026
most citedAn evaluation framework for synthetic data generation models

18 citations · 24 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

ORPHEAS: A Cross-Lingual Greek-English Embedding Model for Retrieval-Augmented Generation

Ioannis E. Livieris, Athanasios Koursaris, Alexandra Apostolopoulou +2

Effective retrieval-augmented generation across bilingual Greek--English applications requires embedding models capable of capturing both domain-specific semantic relationships and…

cs.CL2025★ 1 cited

Forging GEMs: Advancing Greek NLP through Quality-Based Corpus Curation

Alexandra Apostolopoulou, Konstantinos Kanaris, Athanasios Koursaris +3

The advancement of natural language processing for morphologically rich and moderately-resourced languages like Modern Greek has been hindered by architectural stagnation, data sca…

cs.LG2024★ 18 cited

An evaluation framework for synthetic data generation models

Ioannis E. Livieris, Nikos Alimpertis, George Domalis +1

Nowadays, the use of synthetic data has gained popularity as a cost-efficient strategy for enhancing data augmentation for improving machine learning models performance as well as…

cs.CR2021

GLASS: Towards Secure and Decentralized eGovernance Services using IPFS

Christos Chrysoulas, Amanda Thomson, Nikolaos Pitropakis +7

The continuously advancing digitization has provided answers to the bureaucratic problems faced by eGovernance services. This innovation led them to an era of automation it has bro…

cs.CR2021★ 5 cited

GPT-2C: A GPT-2 parser for Cowrie honeypot logs

Febrian Setianto, Erion Tsani, Fatima Sadiq +3

Deception technologies like honeypots produce comprehensive log reports, but often lack interoperability with EDR and SIEM technologies. A key bottleneck is that existing informati…

cs.CY2021

A trustable and interoperable decentralized solution for citizen-centric and cross-border eGovernance: A conceptual approach

George Domalis, Nikos Karacapilidis, Dimitris Tsakalidis +1

Aiming to support a cross-sector and cross-border eGovernance paradigm for sharing common public services, this paper introduces an AI-enhanced solution that enables beneficiaries…