3 citations · 5 across the 11 of their papers we have counts for
12 papers
Exploration of Perceptual Speech Features for Clinical Decision-Support in Mental Health Care
Vassilis Lyberatos, Edmund G. Dervakos, Eleni Adamidi +2
Speech and language technologies offer valuable opportunities for supporting mental health assessment through objective and interpretable cues. We present a systematic feature-base…
Go witheFlow: Real-time Emotion Driven Audio Effects Modulation
Edmund Dervakos, Spyridon Kantarelis, Vassilis Lyberatos +2
Music performance is a distinctly human activity, intrinsically linked to the performer's ability to convey, evoke, or express emotion. Machines cannot perform music in the human s…
Exploring How Audio Effects Alter Emotion with Foundation Models
Stelios Katsis, Vassilis Lyberatos, Spyridon Kantarelis +2
Audio effects (FX) such as reverberation, distortion, modulation, and dynamic range processing play a pivotal role in shaping emotional responses during music listening. While prio…
Semantic-Aware Interpretable Multimodal Music Auto-Tagging
Andreas Patakis, Vassilis Lyberatos, Spyridon Kantarelis +2
Music auto-tagging is essential for organizing and discovering music in extensive digital libraries. While foundation models achieve exceptional performance in this domain, their o…
CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions
Spyridon Kantarelis, Konstantinos Thomas, Ioannis Liolitsas +3
Chord progressions encapsulate important information about music, pertaining to its structure and conveyed emotions. They serve as the backbone of musical composition, and in many…
Semantic Prototypes: Enhancing Transparency Without Black Boxes
Orfeas Menis-Mastromichalakis, Giorgos Filandrianos, Jason Liartis +2
As machine learning (ML) models and datasets increase in complexity, the demand for methods that enhance explainability and interpretability becomes paramount. Prototypes, by encap…
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…
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…
Towards explainable evaluation of language models on the semantic similarity of visual concepts
Maria Lymperaiou, George Manoliadis, Orfeas Menis Mastromichalakis +2
Recent breakthroughs in NLP research, such as the advent of Transformer models have indisputably contributed to major advancements in several tasks. However, few works research rob…
Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs
Edmund Dervakos, Orfeas Menis-Mastromichalakis, Alexandros Chortaras +1
The use of symbolic knowledge representation and reasoning as a way to resolve the lack of transparency of machine learning classifiers is a research area that lately attracts many…