Article

A multi-objective evolutionary approach to neural architecture search for clinical tabular classification: balancing predictive performance and model compactness

2026-07-14

Abstract excerpt

<title>Abstract</title> <p>Designing compact neural network classifiers for clinical tabular data is difficult: manual tuning is labour-intensive, and single-objective optimization tends to favour unnecessarily large models that generalize poorly and are awkward to deploy on constrained hardware. This paper presents a multi-objective genetic algorithm for neural architecture search (MOGA-NAS) that simultaneously...

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Literature Corpus work: 6a2c1a7e-e4f0-59dd-9600-dee5476373c5
DOI: 10.21203/rs.3.rs-10092066/v1

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