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Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2

Paper recorded by Signals 4 on 2026-10-07 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-07 on arXiv · recorded by Signals 4 on 2026-10-08

Category: cs.LG · 机器学习 · first seen 2026-10-08

Abstract

Small tabular datasets with expert-designed spectral features are the norm in operational Earth observation, and the networks applied to them are typically hand-designed. We revisit one such published model -- a Sentinel-2 algal bloom classifier -- and ask what architecture search adds, holding the task, the features and the lake-level train/test split of the original study fixed. Search

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#335 most recent of 749 cs.LG papers we have recorded · ↑ newer: Oracle-Efficient and Parameter-Free Agnostic Smoothed Online Learning · ↓ older: Best Arm Identification for Bandits with Shifting Means
Cite this page: Evolutionary Architecture Search for Chlorophyll-$a$ Prediction in Lakes using Sentinel-2: the #335 most recent of 749 cs.LG papers we have recorded (as of 2026-10-07). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/evolutionary-architecture-search-for-chlorophyll-a-prediction-in-lakes-using-sen.html
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