The following pages link to J. Hernández-Orallo (Q191167):
Displaying 27 items.
- ROC curves in cost space (Q399907) (← links)
- Using negotiable features for prescription problems (Q644840) (← links)
- ROC curves for regression (Q898227) (← links)
- (Q1592262) (redirect page) (← links)
- Beyond the Turing test (Q1592263) (← links)
- Binarised regression tasks: methods and evaluation metrics (Q1741257) (← links)
- Predictive software (Q1857303) (← links)
- AUTOMAT[\texttt{R}]IX: learning simple matrix pipelines (Q2051279) (← links)
- Setting decision thresholds when operating conditions are uncertain (Q2218341) (← links)
- The teaching size: computable teachers and learners for universal languages (Q2320594) (← links)
- Item response theory in AI: analysing machine learning classifiers at the instance level (Q2321286) (← links)
- Aggregative quantification for regression (Q2435724) (← links)
- (Q2763642) (← links)
- Cost-sensitive diagnosis of declarative programs (Q2844058) (← links)
- AI Generality and Spearman’s Law of Diminishing Returns (Q3121508) (← links)
- An Integrated Distance for Atoms (Q3558336) (← links)
- (Q4420650) (← links)
- (Q4422122) (← links)
- (Q4738974) (← links)
- Measuring the Occupational Impact of AI: Tasks, Cognitive Abilities and AI Benchmarks (Q5009694) (← links)
- (Q5405208) (← links)
- Minimal Distance-Based Generalisation Operators for First-Order Objects (Q5426044) (← links)
- Machine Learning: ECML 2003 (Q5897340) (← links)
- Machine Learning: ECML 2003 (Q5897341) (← links)
- Explanatory and creative alternatives to the MDL principle (Q5938216) (← links)
- Heuristic search of optimal machine teaching curricula (Q6053815) (← links)
- Can language models automate data wrangling? (Q6174504) (← links)
