Heuristics for Evaluation of AI Generated Music. - Edmund Dervakos; Giorgos Filandrianos; Giorgos Stamou (ICPR, 2020)

Brainwaves-driven Effects Automation in Musical Performance. - Giorgos Filandrianos; Natalia Kotsani; Edmund G. Dervakos; Giorgos Stamou; Vaios Amprazis; Panagiotis Kiourtzoglou (NIME, 2020)

Semantic Enrichment of Pretrained Embedding Output for Unsupervised IR. - Edmund Dervakos; Giorgos Filandrianos; Konstantinos Thomas; Alexios Mandalios; Chrysoula Zerva; Giorgos Stamou (AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering, 2021)

Musical Harmony Analysis with Description Logics. - Spyridon Kantarelis; Edmund Dervakos; Natalia Kotsani; Giorgos Stamou (Description Logics, 2021)

Genre Recognition from Symbolic Music with CNNs. - Edmund Dervakos; Natalia Kotsani; Giorgos Stamou (EvoMUSART, 2021)

Semantic Queries Explaining Opaque Machine Learning Classifiers. - Jason Liartis; Edmund Dervakos; Orfeas Menis-Mastromichalakis; Alexandros Chortaras; Giorgos Stamou (DAO-XAI, 2021)

Conceptual Edits as Counterfactual Explanations. - Giorgos Filandrianos; Konstantinos Thomas; Edmund Dervakos; Giorgos Stamou (AAAI Spring Symposium: MAKE, 2022)

Towards Explainable Evaluation of Language Models on the Semantic Similarity of Visual Concepts. - Maria Lymperaiou; George Manoliadis; Orfeas Menis-Mastromichalakis; Edmund G. Dervakos; Giorgos Stamou (COLING, 2022)

Computing Rule-Based Explanations of Machine Learning Classifiers using Knowledge Graphs. - Edmund Dervakos; Orfeas Menis-Mastromichalakis; Alexandros Chortaras; Giorgos Stamou (CoRR, 2022)

Counterfactuals of Counterfactuals: a back-translation-inspired approach to analyse counterfactual editors. - George Filandrianos; Edmund Dervakos; Orfeas Menis-Mastromichalakis; Chrysoula Zerva; Giorgos Stamou (ACL (Findings), 2023)

The Music Part Ontology (Extended Abstract). - Spyridon Kantarelis; Edmund Dervakos; Giorgos Stamou (Description Logics, 2023)

Choose your Data Wisely: A Framework for Semantic Counterfactuals. - Edmund Dervakos; Konstantinos Thomas; Giorgos Filandrianos; Giorgos Stamou (IJCAI, 2023)

The smarty4covid dataset and knowledge base: a framework enabling interpretable analysis of audio signals. - Konstantia Zarkogianni; Edmund Dervakos; George Filandrianos; Theofanis Ganitidis; Vasiliki Gkatzou; Aikaterini Sakagianni; Raghu Raghavendra; C. L. Max Nikias; Giorgos Stamou; Konstantina S. Nikita (CoRR, 2023)

Functional harmony ontology: Musical harmony analysis with Description Logics. - Spyridon Kantarelis; Edmund Dervakos; Natalia Kotsani; Giorgos Stamou (J. Web Semant., 2023)

Genre Recognition from Symbolic Music with CNNs: Performance and Explainability. - Edmund Dervakos; Natalia Kotsani; Giorgos Stamou (SN Comput. Sci., 2023)

Rule-Based Explanations of Machine Learning Classifiers Using Knowledge Graphs. - Orfeas Menis-Mastromichalakis; Edmund Dervakos; Alexandros Chortaras; Giorgos Stamou (AAAI Spring Symposia, 2024)

Semantic Prototypes: Enhancing Transparency without Black Boxes. - Orfeas Menis-Mastromichalakis; Giorgos Filandrianos; Jason Liartis; Edmund Dervakos; Giorgos Stamou (CIKM, 2024)

Perceptual Musical Features for Interpretable Audio Tagging. - Vassilis Lyberatos; Spyridon Kantarelis; Edmund Dervakos; Giorgos Stamou (ICASSP Workshops, 2024)

CHORDONOMICON: A Dataset of 666,000 Songs and their Chord Progressions. - Spyridon Kantarelis; Konstantinos Thomas; Vassilis Lyberatos; Edmund Dervakos; Giorgos Stamou (CoRR, 2024)

Searching for explanations of black-box classifiers in the space of semantic queries. - Jason Liartis; Edmund Dervakos; Orfeas Menis-Mastromichalakis; Alexandros Chortaras; Giorgos Stamou (Semantic Web, 2024)

Challenges and Perspectives in Interpretable Music Auto-Tagging Using Perceptual Features. - Vassilis Lyberatos; Spyridon Kantarelis; Edmund Dervakos; Giorgos Stamou (IEEE Access, 2025)

Semantic-Aware Interpretable Multimodal Music Auto-Tagging. - Andreas Patakis; Vassilis Lyberatos; Spyridon Kantarelis; Edmund Dervakos; Giorgos Stamou (CoRR, 2025)