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Mitigating Error Propagation in Generative AI via Dimensionality Modulation as a Method for Safe Biomedical Dataset Augmentation
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Outgoing claims: the papers this work cites, builds on, or argues with.
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ggplot2: Elegant Graphics for Data Analysis
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Boosting: An Ensemble Learning Tool for Compound Classification and QSAR Modeling
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Generative Artificial Intelligence Biases, Limitations and Risks in Nuclear Medicine: An Argument for Appropriate Use Framework and Recommendations
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Why significant variables aren’t automatically good predictors
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R: A Language for Data Analysis and Graphics
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A NEW MEASURE OF RANK CORRELATION
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PROBABLE ERROR OF A CORRELATION COEFFICIENT
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Generative or Discriminative? Getting the Best of Both Worlds
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Early prediction of gallstone disease with a machine learning-based method from bioimpedance and laboratory data
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Handling class imbalance problem using oversampling techniques: A review
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Maximum Likelihood from Incomplete Data Via the EM Algorithm
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Standard deviations and standard errors
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Investigating for bias in healthcare algorithms: a sex-stratified analysis of supervised machine learning models in liver disease prediction
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Use of proper statistical techniques for research studies with small samples
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An Ethical Approach to Peeking at Data
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Random forest versus logistic regression: a large-scale benchmark experiment
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Machine learning can predict survival of patients with heart failure from serum creatinine and ejection fraction alone
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Dysregulation of lysophosphatidic acids in multiple sclerosis and autoimmune encephalomyelitis
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Selecting critical features for data classification based on machine learning methods
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Identification of disease-distinct complex biomarker patterns by means of unsupervised machine-learning using an interactive R toolbox (Umatrix)
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Table for Estimating the Goodness of Fit of Empirical Distributions
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Increasing efficiency of preclinical research by group sequential designs
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Is N-Hacking Ever OK? The consequences of collecting more data in pursuit of statistical significance
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Effect Sizes in Experimental Pain Produced by Gender, Genetic Variants and Sensitization Procedures
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Reshaping Data with the reshape Package
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Feature Selection with the Boruta Package
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caret: Classification and Regression Training
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mclust 5: Clustering, Classification and Density Estimation Using Gaussian Finite Mixture Models
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Missing data in multi-omics integration: Recent advances through artificial intelligence
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Pitfalls of Using Multinomial Regression Analysis to Identify Class-Structure-Relevant Variables in Biomedical Data Sets: Why a Mixture of Experts (MOE) Approach Is Better
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The Fundamental Clustering and Projection Suite (FCPS): A Dataset Collection to Test the Performance of Clustering and Data Projection Algorithms
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Combining Generative and Discriminative Models for Hybrid Inference
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