20 citations · 26 across the 8 of their papers we have counts for
8 papers
AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG Systems
Athanasios Davvetas, Michael Papademas, Xenia Ziouvelou +1
The rapid rollout of AI in heterogeneous public and societal sectors has subsequently escalated the need for compliance with regulatory standards and frameworks. The EU AI Act has…
TAI Scan Tool: A RAG-Based Tool With Minimalistic Input for Trustworthy AI Self-Assessment
Athanasios Davvetas, Xenia Ziouvelou, Ypatia Dami +3
This paper introduces the TAI Scan Tool, a RAG-based TAI self-assessment tool with minimalistic input. The current version of the tool supports the legal TAI assessment, with a par…
WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels
Vasilis Margonis, Athanasios Davvetas, Iraklis A. Klampanos
Learning disentangled representations without supervision or inductive biases, often leads to non-interpretable or undesirable representations. On the other hand, strict supervisio…
Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data
Athanasios Davvetas, Iraklis A. Klampanos
When observing a phenomenon, severe cases or anomalies are often characterised by deviation from the expected data distribution. However, non-deviating data samples may also implic…
Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks
Athanasios Davvetas, Iraklis A. Klampanos
Acquiring ground truth labels for unlabelled data can be a costly procedure, since it often requires manual labour that is error-prone. Consequently, the available amount of labell…
Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence
Athanasios Davvetas, Iraklis A. Klampanos, Vangelis Karkaletsis
In this paper we introduce evidence transfer for clustering, a deep learning method that can incrementally manipulate the latent representations of an autoencoder, according to ext…