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Machine learning computational model to predict lung cancer using electronic medical records
Background Lung cancer (LC) screening using low-dose computed tomography (CT) is
recommended according to standard risk criteria or personalized risk calculators. Machine …
recommended according to standard risk criteria or personalized risk calculators. Machine …
[HTML][HTML] Machine and deep learning performance in out-of-distribution regressions
Abstract Machine learning (ML) and deep learning (DL) models are gaining popularity due
to their effectiveness in many computational tasks. These models are based on an intuitive …
to their effectiveness in many computational tasks. These models are based on an intuitive …
Leveraging Multi-Task Learning Regressor Chains for Small and Sparse Tabular Data in Materials Design
F Conrad, H Wiemer, S Ihlenfeldt - Machine Learning: Science …, 2025 - iopscience.iop.org
Abstract Machine learning has become increasingly important in materials design, yet
traditional single-task learning (STL) models fail to fully exploit the potential of available data …
traditional single-task learning (STL) models fail to fully exploit the potential of available data …
Introducing'Inside'Out of Distribution
T Lazebnik - arxiv preprint arxiv:2407.04534, 2024 - arxiv.org
Detecting and understanding out-of-distribution (OOD) samples is crucial in machine
learning (ML) to ensure reliable model performance. Current OOD studies, in general, and in …
learning (ML) to ensure reliable model performance. Current OOD studies, in general, and in …