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Published in Machine learning (01.02.2014)
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Read, Jesse, Pfahringer, Bernhard, Holmes, Geoff, Frank, Eibe
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Published in Machine learning (01.12.2011)
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Nearest neighbors distance ratio open-set classifier
Mendes Júnior, Pedro R., de Souza, Roberto M., Werneck, Rafael de O., Stein, Bernardo V., Pazinato, Daniel V., de Almeida, Waldir R., Penatti, Otávio A. B., Torres, Ricardo da S., Rocha, Anderson
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Published in Machine learning (01.03.2017)
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LoRAS: an oversampling approach for imbalanced datasets
Bej, Saptarshi, Davtyan, Narek, Wolfien, Markus, Nassar, Mariam, Wolkenhauer, Olaf
Published in Machine learning (01.02.2021)
Published in Machine learning (01.02.2021)
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Bootstrapping the out-of-sample predictions for efficient and accurate cross-validation
Tsamardinos, Ioannis, Greasidou, Elissavet, Borboudakis, Giorgos
Published in Machine learning (01.12.2018)
Published in Machine learning (01.12.2018)
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Machine unlearning: linear filtration for logit-based classifiers
Baumhauer, Thomas, Schöttle, Pascal, Zeppelzauer, Matthias
Published in Machine learning (01.09.2022)
Published in Machine learning (01.09.2022)
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Special issue on feature engineering editorial
Verdonck, Tim, Baesens, Bart, Óskarsdóttir, María, vanden Broucke, Seppe
Published in Machine learning (01.07.2024)
Published in Machine learning (01.07.2024)
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A theory of learning from different domains
Ben-David, Shai, Blitzer, John, Crammer, Koby, Kulesza, Alex, Pereira, Fernando, Vaughan, Jennifer Wortman
Published in Machine learning (01.05.2010)
Published in Machine learning (01.05.2010)
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