Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets

Research article (Expert Systems with Applications, 2020) · cited 110× · AI/ML
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Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets

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Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets. Retrieved May 24, 2026, from https://4ort.xyz/entity/generative-adversarial-networks-and-markov-random-fields-for-oversampling-very-small-training-sets
MLA “Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/generative-adversarial-networks-and-markov-random-fields-for-oversampling-very-small-training-sets.
BibTeX @misc{4ortxyz_generative-adversarial-networks-and-markov-random-fields-for-oversampling-very-small-training-sets_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets}}, year = {2026}, url = {https://4ort.xyz/entity/generative-adversarial-networks-and-markov-random-fields-for-oversampling-very-small-training-sets}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Generative Adversarial Networks and Markov Random Fields for oversampling very small training sets — https://4ort.xyz/entity/generative-adversarial-networks-and-markov-random-fields-for-oversampling-very-small-training-sets (retrieved 2026-05-24)

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