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20202026
most citedMinimally Supervised Learning using Topological Projections in Self-Organizing Maps

1 citations · 3 across the 10 of their papers we have counts for

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cs.CE2026

Evolve on the Host, Predict on the Edge: Deploying Online Neuroevolutionary Architecture Search for Cross-sectional Stock Return Prediction

Jonathan Chang, Zimeng Lyu

Accurate forecasting models are usually large, expensive to update online, and fixed in architecture once trained. We apply ONE-NAS, an online neuroevolutionary architecture search…

cs.NE2026

Forecast Accuracy Is Not Trading Profit: Evolving Small Recurrent Networks for Stock Return Prediction

Jonathan Chang, Zimeng Lyu

Time series forecasting models are typically compared on pointwise error, which scores a prediction in isolation from the decision it is produced for, and a lower forecast error do…