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Priscila T M Saito

Showing results (1-10 of 5) with videos related to

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Plos One|August 20, 2020
Active semi-supervised learning for biological data classificationGuilherme Camargo, Pedro H Bugatti, Priscila T M Saito
Computer Methods and Programs in Biomedicine|September 18, 2022
Classification of Skin Lesion through Active Learning StrategiesLucas G Batista, Pedro H Bugatti, Priscila T M Saito
Plos One|August 25, 2023
Assessment of clustering techniques to support the analyses of soybean seed vigorEduardo R de Oliveira, Pedro H Bugatti, Priscila T M Saito
Data in Brief|February 22, 2019
Contributing to agriculture by using soybean seed data from the tetrazolium testDouglas F Pereira, Pedro H Bugatti, Fabricio M Lopes, et al.
Plos One|June 27, 2015
Choosing the Most Effective Pattern Classification Model under Learning-Time ConstraintPriscila T M Saito, Rodrigo Y M Nakamura, Willian P Amorim, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Plos One|August 20, 2020
Active semi-supervised learning for biological data classificationGuilherme Camargo, Pedro H Bugatti, Priscila T M Saito
Computer Methods and Programs in Biomedicine|September 18, 2022
Classification of Skin Lesion through Active Learning StrategiesLucas G Batista, Pedro H Bugatti, Priscila T M Saito
Plos One|August 25, 2023
Assessment of clustering techniques to support the analyses of soybean seed vigorEduardo R de Oliveira, Pedro H Bugatti, Priscila T M Saito
Data in Brief|February 22, 2019
Contributing to agriculture by using soybean seed data from the tetrazolium testDouglas F Pereira, Pedro H Bugatti, Fabricio M Lopes, et al.
Plos One|June 27, 2015
Choosing the Most Effective Pattern Classification Model under Learning-Time ConstraintPriscila T M Saito, Rodrigo Y M Nakamura, Willian P Amorim, et al.
Pageof 1