Computer vision (CV) and machine learning (ML) offer new tools for cultural heritage (CH) artifact analysis, but the CV/ML pipeline remains largely inaccessible to CH domain experts, who lack the background to configure, train, or assess models. We present AmalthAI, an open-source CV platform that bridges this gap, ena...
Christos Chatzisavvas, Stelios Alvanos, Efstratios Politis et al.· 0 citations
Background Recent advances in artificial intelligence (AI) have accelerated the development of educational technologies intended to support students’ learning processes. However, classroom-based evidence on the educational impact of purpose-built AI applications remains limited, particularly across national contexts. M...
Theodoros Karafyllidis, Anna Vacalopoulou, S. Stamouli et al.· Open Research Europe· 0 citations
Automatic Lyric Transcription (ALT) remains substantially more challenging than speech recognition due to melodic variability, rhythmic irregularity, and accompaniment interference. This is heightened in low-resource languages like Greek, where no prior benchmark for ALT exists. We present the first controlled study of...
Maria Frangiadaki, Dimitrios Damianos, Kosmas Kritsis et al.· 0 citations
The Contrastive Routing Mechanism (CoRM) is proposed, which scores each expert by the gap between its affinity for the incoming token and its affinity for this shared reference state, interpreted through a distinct per-expert projection.
N. Xiros, Dimitrios Damianos, Maria-Eleni Zoumpoulidi et al.· 0 citations
A lifecycle model for LLM systems is proposed that supports security analysis by structuring it around security-relevant boundaries rather than workflow optimisation, and is supported by a 12-stage LLMOps pillar and a 9-category governance pillar.
Eleftherios Batzolis, George Drosatos, V. Katsouros et al.· ARES· 0 citations
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