3 citations · 6 across the 4 of their papers we have counts for
5 papers
Evaluating Conversational Explainability in Healthcare: Comparing the Explainability Assistant and a Traditional XAI Dashboard
Eduard Barbu, Rodion Krjutškov, Anneli Uusküla
Conversational interfaces may make explainable AI (XAI) more accessible to users without machine learning expertise, but their benefits over dashboards remain insufficiently charac…
Explainability Assistant: A Conversational XAI Interface for Interpreting Energy Consumption Models
Rodion Krjutškov, Eduard Barbu, Nikos Sakkas +1
Energy consumption forecasting relies on increasingly complex machine learning (ML) models, such as Genetic Programming-based symbolic regressors, whose predictions can be difficul…
Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments
Marharyta Domnich, Julius Välja, Rasmus Moorits Veski +4
As machine learning models evolve, maintaining transparency demands more human-centric explainable AI techniques. Counterfactual explanations, with roots in human reasoning, identi…
Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
Eduard Barbu, Marharyta Domnich, Raul Vicente +2
This study presents insights gathered from surveys and discussions with specialists in three domains, aiming to find essential elements for a universal explanation framework that c…
BibRank: Automatic Keyphrase Extraction Platform Using~Metadata
Abdelrhman Eldallal, Eduard Barbu
Automatic Keyphrase Extraction involves identifying essential phrases in a document. These keyphrases are crucial in various tasks such as document classification, clustering, reco…