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Cited article:

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CARA: convolutional autoencoders for the detection of radio anomalies

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Anomaly Detection and Radio-frequency Interference Classification with Unsupervised Learning in Narrowband Radio Technosignature Searches

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Finding radio transients with anomaly detection and active learning based on volunteer classifications

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Monthly Notices of the Royal Astronomical Society 538 (3) 1397 (2025)
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Identifying Tampered Radio-Frequency Transmissions in LoRa Networks Using Machine Learning

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A deep neural network based reverse radio spectrogram search algorithm

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RAS Techniques and Instruments 3 (1) 33 (2024)
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