Blar i NTNU Open på forfatter "Bayrak, Betül"
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Beyond Post-Hoc Instance-Based Explanation Methods
Bayrak, Betül (Chapter, 2023)With the increasing demand for understanding the decision-making processes of artificial intelligence applications, explainable AI (XAI) systems have become increasingly important. Counterfactual explana- tions, a promising ... -
Explaining your Neighbourhood: A CBR Approach for Explaining Black-Box Models
Bayrak, Betül; Marin Veites, Paola; Bach, Kerstin (Peer reviewed; Journal article, 2022) -
PertCF: A Perturbation-Based Counterfactual Generation Approach
Bayrak, Betül; Bach, Kerstin (Chapter, 2023)Post-hoc explanation systems offer valuable insights to increase understanding of the predictions made by black-box models. Counterfactual explanations, an instance-based post-hoc explanation method, aim to demonstrate how ... -
A Twin XCBR System Using Supportive and Contrastive Explanations
Bayrak, Betül; Bach, Kerstin (Chapter, 2023)Machine learning models are increasingly being applied in safety-critical domains. Therefore, ensuring their trustworthiness and reliability has become a priority. Uncertainty measures the lack of trust in these models, ...