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06/20/2023
SeFNet: Bridging Tabular Datasets with Semantic Feature Nets
Machine learning applications cover a wide range of predictive tasks in ...
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01/27/2022
Consolidated learning – a domain-specific model-free optimization strategy with examples for XGBoost and MIMIC-IV
For many machine learning models, a choice of hyperparameters is a cruci...
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05/28/2021
Do not explain without context: addressing the blind spot of model explanations
The increasing number of regulations and expectations of predictive mach...
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04/07/2021
Triplot: model agnostic measures and visualisations for variable importance in predictive models that take into account the hierarchical correlation structure
One of the key elements of explanatory analysis of a predictive model is...
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07/06/2020
Does imputation matter? Benchmark for predictive models
Incomplete data are common in practical applications. Most predictive ma...
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06/02/2020
Interpretable Meta-Measure for Model Performance
Measures for evaluation of model performance play an important role in M...
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02/11/2020
Towards better understanding of meta-features contributions
Meta learning is a difficult problem as the expected performance of a mo...
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08/24/2019
