EvoTSC evolves lightweight feature learning models for time series classification via genetic programming with embedded expert knowledge and Pareto tournament selection, outperforming eleven benchmarks on univariate datasets.
Time series representations for classification lie hidden in pretrained vision transformers
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EvoTSC: Evolving Feature Learning Models for Time Series Classification via Genetic Programming
EvoTSC evolves lightweight feature learning models for time series classification via genetic programming with embedded expert knowledge and Pareto tournament selection, outperforming eleven benchmarks on univariate datasets.