Bias in error estimation when using cross-validation for model selection

• Quantifying Model Uncertainty with AutoML and Rashomon Partial Dependence Profiles: Enabling Trustworthy and Human-centered XAI

  2026 Information Systems Frontiers article Computer Science Explainable Artificial Intelligence (XAI) Open access

  0

  citations
• Predicting Building Energy Consumption from Electricity Meters Using Prophet: A Computational Study with Nested Cross-Validation on Benchmark Time Series Data

  2024 International Symposium on Innovative Approaches in Smart Technologies (ISAS) conference-paper Engineering Energy Load and Power Forecasting

  1

  citations
• Prediction of inhibitor development in previously untreated and minimally treated children with severe and moderately severe hemophilia A using a machine-learning network

  2024 Journal of Thrombosis and Haemostasis article Medicine Hemophilia Treatment and Research Open access

  9

  citations
• Automated machine learning: past, present and future

  2024 Artificial Intelligence Review article Computer Science Machine Learning and Data Classification Open access

  146

  citations
• An out-of-sample perspective on the assessment of incremental predictive validity

  2024 Behaviormetrika article Decision Sciences Psychometric Methodologies and Testing Open access

  2

  citations
• Predictive performance of psychological tests: Is it better to use items than subscales?

  2023 Computational Statistics & Data Analysis article Decision Sciences Psychometric Methodologies and Testing Open access

  3

  citations
• Analyzing Hierarchical Multi-View MRI Data With StaPLR: An Application to Alzheimer's Disease Classification

  2022 Frontiers in Neuroscience article Medicine Dementia and Cognitive Impairment Research Open access

  5

  citations
• To Correct or Not To Correct? Reliability of Psychological Tests and Incremental Predictive Validity from a Statistical Learning Perspective. (This paper was recently published in Behaviometrika: "An out-of-sample perspective on the assessment of incremental predictive validity")

  2022 preprint Decision Sciences Psychometric Methodologies and Testing Open access

  0

  citations
• Evaluating Recommendations of Metalearning/AutoML Systems

  2022 Cognitive technologies book-chapter Computer Science Machine Learning and Data Classification Open access

  0

  citations
• Metabolomic profiling of microbial disease etiology in community-acquired pneumonia

  2021 PLoS ONE article Biochemistry, Genetics and Molecular Biology Metabolomics and Mass Spectrometry Studies Open access

  9

  citations
• Drug Clearance in Neonates: A Combination of Population Pharmacokinetic Modelling and Machine Learning Approaches to Improve Individual Prediction

  2021 Clinical Pharmacokinetics article Medicine Pharmaceutical studies and practices Open access

  47

  citations
• Graph Neural Networks for Prediction of Fuel Ignition Quality

  2020 Energy & Fuels article Materials Science Machine Learning in Materials Science

  142

  citations
• Cross-Validation: A Method Every Psychologist Should Know

  2020 Advances in Methods and Practices in Psychological Science article Mathematics Statistical Methods and Inference Open access

  190

  citations
• Stacked penalized logistic regression for selecting views in multi-view learning

  2020 Information Fusion article Mathematics Statistical Methods and Inference Open access

  27

  citations
• Classification using fractional anisotropy predicts conversion in genetic frontotemporal dementia, a proof of concept

  2020 Brain Communications article Medicine Dementia and Cognitive Impairment Research Open access

  6

  citations

15 results