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<http://purl.org/aida/BiAU-Net%20outperformed%20traditional%20machine%20learning%20models%20including%20Support%20Vector%20Machines%20and%20Random%20Forest%2C%20which%20require%20handcrafted%20engineering%20and%20often%20perform%20well%20in%20training%20areas%20but%20poorly%20when%20transferred%20to%20different%20areas%20due%20to%20varying%20environments.> <http://purl.org/spar/cito/obtainsSupportFrom> <https://doi.org/10.1016/j.jag.2024.104034> <https://w3id.org/sciencelive/np/RAOHTGoeX187GlciQBI7BTK3okWx2FPBe_X8gr2eiDGu4/assertion> .
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<http://purl.org/aida/BiAU-Net%20outperformed%20traditional%20machine%20learning%20models%20including%20Support%20Vector%20Machines%20and%20Random%20Forest%2C%20which%20require%20handcrafted%20engineering%20and%20often%20perform%20well%20in%20training%20areas%20but%20poorly%20when%20transferred%20to%20different%20areas%20due%20to%20varying%20environments.> <http://schema.org/about> <https://www.wikidata.org/wiki/Q2539> <https://w3id.org/sciencelive/np/RAOHTGoeX187GlciQBI7BTK3okWx2FPBe_X8gr2eiDGu4/assertion> .
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