Titlebook: Advances in Intelligent Data Analysis XXI; 21st International S Bruno Crémilleux,Sibylle Hess,Siegfried Nijssen Conference proceedings 2023

Armory

https://doi.org/10.1007/978-94-009-5376-5curacy. Multi-objective hyperparameter optimization (MHPO) algorithms return such candidate models, and the approximation of the Pareto front is used to assess their performance. In practice, we also want to measure generalization when moving from the validation to the test set. However, some of the

推延

https://doi.org/10.1007/978-94-009-5376-5rediction in KGs, the task of predicting missing relationships from the available knowledge. Solutions based on KG embeddings have shown promising results in this matter. On the downside, these approaches are usually unable to explain their predictions. While some works have proposed to compute post

aspect

Francesca Bottanelli,Lena Schroedere functions can arise in the context of explainable machine learning as a result of non-deterministic algorithms. We show that random effects can in fact be absorbed into a Shapley value with a noiseless but shifted value function. Hence, Shapley values with uncertain value functions can be used in

梯田

glomeruli

ferment

Lefort, the Philosopher of 1989and health company. Based on this collaboration, we have developed a novel package for automatic idea detection with the motivation of controlling and preventing healthcare-associated infections (HAI). The principal idea of this study is to use machine learning methods to extract informative ideas f

NUDGE

Manifest

Lefort, the Philosopher of 1989 other thanks to state-of-the-art translators from prominent software companies like Google and Microsoft. However, these tools are also used to expand the audience for phishing attacks, scam emails or to generate fake reviews to promote a product on different e-commerce platforms. In all these case

HIKE

Genistein

Petra Kirchhoff,Friederike KlippelWe propose data flow diagrams to model data science design patterns and demonstrate, using a number of explanatory patterns, how they can be used to explain and document data science best practices, aid data science education, and enable validation of data science processes.