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cs.AI2026
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…
cs.AI2024
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…