Inference for the Generalization Error

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A Probabilistic Theory of Pattern Recognition

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Untitled work

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A comparison of machine learning methods for survival analysis of high-dimensional clinical data for dementia prediction

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Deep neural networks and kernel regression achieve comparable accuracies for functional connectivity prediction of behavior and demographics

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Evaluating Machine Learning Models and Their Diagnostic Value

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Comparison of the Predictive Performance and Interpretability of Random Forest and Linear Models on Benchmark Data Sets

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Genomic Prediction of Northern Corn Leaf Blight Resistance in Maize with Combined or Separated Training Sets for Heterotic Groups

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Risk prediction for chronic kidney disease progression using heterogeneous electronic health record data and time series analysis

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Taking on the curse of dimensionality in joint distributions using neural networks

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Cinema audiences reproducibly vary the chemical composition of air during films, by broadcasting scene specific emissions on breath

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Identification of important factors in an inpatient fall risk prediction model to improve the quality of care using EHR and electronic administrative data: A machine-learning approach

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Spectro-Temporal Sparsity Characterization for Dysarthric Speech Detection

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Combining macula clinical signs and patient characteristics for age-related macular degeneration diagnosis: a machine learning approach

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Multimodal Prediction of 3- and 12-Month Outcomes in ICU Patients with Acute Disorders of Consciousness

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An Evaluation of the Effectiveness of Image-based Texture Features Extracted from Static B-mode Ultrasound Images in Distinguishing between Benign and Malignant Ovarian Masses

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Deep Neural Networks and Kernel Regression Achieve Comparable Accuracies for Functional Connectivity Prediction of Behavior and Demographics

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Predicting Financial Distress: A Comparative Analysis of Explainable Machine Learning Models for Cross‐Market Bankruptcy Prediction

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