Athanasios Davvetas

TAI Scan Tool: A RAG-Based Tool With Minimalistic Input for Trustworthy AI Self-Assessment

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 particular emphasis...

WeLa-VAE: Learning Alternative Disentangled Representations Using Weak Labels

Learning disentangled representations without supervision or inductive biases, often leads to non-interpretable or undesirable representations. On the other hand, strict supervision requires...

Evidence Transfer for Improving Clustering Tasks Using External Categorical Evidence

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 external...

ANNETT-O: An Ontology for Describing Artificial Neural Network Evaluation, Topology and Training

Deep learning models, while effective and versatile, are becoming increasingly complex, often including multiple overlapping networks of arbitrary depths, multiple objectives and non-intuitive...

Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data

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 implicitly lead to...

DARE: A Reflective Platform Designed to Enable Agile Data-Driven Research on the Cloud

Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data

TAI Scan Tool: A RAG-Based Tool with Minimalistic Input for Trustworthy AI Self-Assessment

Big Data Processing and Semantic Web Technologies for Decision Making in Hazardous Substance Dispersion Emergencies

AI Act Evaluation Benchmark: An Open, Transparent, and Reproducible Evaluation Dataset for NLP and RAG Systems

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 emerged as a...

Learning Improved Representations by Transferring Incomplete Evidence Across Heterogeneous Tasks

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 labelled data is...