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Assessing the Generalizability of a Performance Predictive Model
A key component of automated algorithm selection and configuration, which in most cases are performed using supervised machine learning (ML) methods is a good-performing predictive model.
Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets
From the list of ingredients, domain-specific embeddings are created using the same embedding space for all recipes - one ingredient dataset is generated.
Less is more: Selecting the right benchmarking set of data for time series classification
By observing discrepancy between the empirical results of the bootstrap evaluation and recently adapted practices in TSC literature when introducing novel methods we warn on the potentially harmful effects of tuning the methods on certain parts of the landscape (unless this is an explicit and desired goal of the study).
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