167 citations · 210 across the 72 of their papers we have counts for
14 papers · 1 filter
Perceptual Musical Features for Interpretable Audio Tagging
Vassilis Lyberatos, Spyridon Kantarelis, Edmund Dervakos +1
In the age of music streaming platforms, the task of automatically tagging music audio has garnered significant attention, driving researchers to devise methods aimed at enhancing…
Large Language Models and Multimodal Retrieval for Visual Word Sense Disambiguation
Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou
Visual Word Sense Disambiguation (VWSD) is a novel challenging task with the goal of retrieving an image among a set of candidates, which better represents the meaning of an ambigu…
Connected Components and Disjunctive Existential Rules
Enrique Matos Alfonso, Giorgos Stamou
In this paper, we explore conjunctive query rewriting, focusing on queries containing universally quantified negation within the framework of disjunctive existential rules. We addr…
Language Models as Knowledge Bases for Visual Word Sense Disambiguation
Anastasia Kritharoula, Maria Lymperaiou, Giorgos Stamou
Visual Word Sense Disambiguation (VWSD) is a novel challenging task that lies between linguistic sense disambiguation and fine-grained multimodal retrieval. The recent advancements…
Employing Crowdsourcing for Enriching a Music Knowledge Base in Higher Education
Vassilis Lyberatos, Spyridon Kantarelis, Eirini Kaldeli +4
This paper describes the methodology followed and the lessons learned from employing crowdsourcing techniques as part of a homework assignment involving higher education students o…
The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals
Konstantia Zarkogianni, Edmund Dervakos, George Filandrianos +7
Harnessing the power of Artificial Intelligence (AI) and m-health towards detecting new bio-markers indicative of the onset and progress of respiratory abnormalities/conditions has…
Choose your Data Wisely: A Framework for Semantic Counterfactuals
Edmund Dervakos, Konstantinos Thomas, Giorgos Filandrianos +1
Counterfactual explanations have been argued to be one of the most intuitive forms of explanation. They are typically defined as a minimal set of edits on a given data sample that,…
Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors
Giorgos Filandrianos, Edmund Dervakos, Orfeas Menis-Mastromichalakis +2
In the wake of responsible AI, interpretability methods, which attempt to provide an explanation for the predictions of neural models have seen rapid progress. In this work, we are…
GreekBART: The First Pretrained Greek Sequence-to-Sequence Model
Iakovos Evdaimon, Hadi Abdine, Christos Xypolopoulos +3
The era of transfer learning has revolutionized the fields of Computer Vision and Natural Language Processing, bringing powerful pretrained models with exceptional performance acro…
Knowledge-Based Counterfactual Queries for Visual Question Answering
Theodoti Stoikou, Maria Lymperaiou, Giorgos Stamou
Visual Question Answering (VQA) has been a popular task that combines vision and language, with numerous relevant implementations in literature. Even though there are some attempts…
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
Maria Lymperaiou, Giorgos Stamou
Recent advancements in visiolinguistic (VL) learning have allowed the development of multiple models and techniques that offer several impressive implementations, able to currently…
Fine-Grained ImageNet Classification in the Wild
Maria Lymperaiou, Konstantinos Thomas, Giorgos Stamou
Image classification has been one of the most popular tasks in Deep Learning, seeing an abundance of impressive implementations each year. However, there is a lot of criticism tied…
Counterfactual Edits for Generative Evaluation
Maria Lymperaiou, Giorgos Filandrianos, Konstantinos Thomas +1
Evaluation of generative models has been an underrepresented field despite the surge of generative architectures. Most recent models are evaluated upon rather obsolete metrics whic…
An Impartial Transformer for Story Visualization
Nikolaos Tsakas, Maria Lymperaiou, Giorgos Filandrianos +1
Story Visualization is an advanced task of computed vision that targets sequential image synthesis, where the generated samples need to be realistic, faithful to their conditioning…