Pages that link to "Item:Q2321252"
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The following pages link to Explanation in artificial intelligence: insights from the social sciences (Q2321252):
Displaying 39 items.
- Explainable acceptance in probabilistic and incomplete abstract argumentation frameworks (Q6080638) (← links)
- Counterfactuals as modal conditionals, and their probability (Q6080641) (← links)
- Explainable subgradient tree boosting for prescriptive analytics in operations management (Q6087515) (← links)
- Tractability of explaining classifier decisions (Q6098842) (← links)
- Explaining black-box classifiers: properties and functions (Q6099552) (← links)
- ASP and subset minimality: enumeration, cautious reasoning and MUSes (Q6103676) (← links)
- Is there a role for statistics in artificial intelligence? (Q6103792) (← links)
- On computing probabilistic abductive explanations (Q6116531) (← links)
- On the (complete) reasons behind decisions (Q6117140) (← links)
- The effects of explanations on automation bias (Q6136096) (← links)
- A general framework for personalising post hoc explanations through user knowledge integration (Q6137842) (← links)
- Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis (Q6161200) (← links)
- A framework for inherently interpretable optimization models (Q6168581) (← links)
- Efficient search for relevance explanations using MAP-independence in Bayesian networks (Q6178709) (← links)
- On the local coordination of fuzzy valuations (Q6181008) (← links)
- Some models are useful, but how do we know which ones? Towards a unified Bayesian model taxonomy (Q6185714) (← links)
- The Jiminy advisor: moral agreements among stakeholders based on norms and argumentation (Q6488793) (← links)
- Certified logic-based explainable AI -- the case of monotonic classifiers (Q6535329) (← links)
- Feature necessity \& relevancy in ML classifier explanations (Q6535350) (← links)
- Efficiently explaining CSPs with unsatisfiable subset optimization (Q6535423) (← links)
- Explanation-friendly query answering under uncertainty (Q6535981) (← links)
- Contrastive explanations for answer-set programs (Q6545521) (← links)
- A new class of explanations for classifiers with non-binary features (Q6545524) (← links)
- Declarative reasoning on explanations using constraint logic programming (Q6545527) (← links)
- Minimality, necessity and sufficiency for argumentation and explanation (Q6548459) (← links)
- Critical observations in model-based diagnosis (Q6566643) (← links)
- Interpretable generalized additive neural networks (Q6572862) (← links)
- What makes accidents severe! Explainable analytics framework with parameter optimization (Q6572885) (← links)
- Questionable stepwise explanations for a robust additive preference model (Q6577650) (← links)
- On the failings of Shapley values for explainability (Q6577659) (← links)
- Explaining answers generated by knowledge graph embeddings (Q6577672) (← links)
- Learning decision catalogues for situated decision making: the case of scoring systems (Q6577678) (← links)
- Synergies between machine learning and reasoning -- an introduction by the Kay R. Amel group (Q6577680) (← links)
- Modifications of the Miller definition of contrastive (counterfactual) explanations (Q6587905) (← links)
- A fast iterative PDE-based algorithm for feedback controls of nonsmooth mean-field control problems (Q6598495) (← links)
- Relative sparsity for medical decision problems (Q6626828) (← links)
- Disagreement amongst counterfactual explanations: how transparency can be misleading (Q6635847) (← links)
- Explainable and interpretable machine learning and data mining (Q6637767) (← links)
- A new model for counterfactual analysis for functional data (Q6661125) (← links)
