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20112026
most citedReasoning with Very Expressive Fuzzy Description Logics

167 citations · 210 across the 72 of their papers we have counts for

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cs.AI2026

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…

cs.AI2026

U-CECE: A Universal Multi-Resolution Framework for Conceptual Counterfactual Explanations

Angeliki Dimitriou, Nikolaos Chaidos, Maria Lymperaiou +2

As AI models grow more complex, explainability is essential for building trust, yet concept-based counterfactual methods still face a trade-off between expressivity and efficiency.…

cs.AI2023

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,…

cs.AI2022★ 3 cited

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…

cs.AI2011★ 167 cited

Reasoning with Very Expressive Fuzzy Description Logics

I. Horrocks, J. Z. Pan, G. Stamou +2

It is widely recognized today that the management of imprecision and vagueness will yield more intelligent and realistic knowledge-based applications. Description Logics (DLs) are…