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SSL-VFC4.5: An approach to adapt Very Fast C4.5 classification algorithm to deal with semi-supervised learning.

, , and . SBBD, page 13-24. SBC, (2021)

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SSL-C4.5: Implementation of a Classification Algorithm for Semi-supervised Learning Based on C4.5., , and . BRACIS (2), volume 12320 of Lecture Notes in Computer Science, page 513-525. Springer, (2020)Fast adaptive stacking of ensembles., , , and . SAC, page 929-934. ACM, (2016)Study of Different Methods to Design and Animate Realistic Objects for Virtual Environments on Modern HMDs., , and . HCI (47), volume 1836 of Communications in Computer and Information Science, page 269-276. Springer, (2023)Fast Adaptive Stacking of Ensembles Adaptation for Supporting Active Learning. a Real Case Application., , , , , and . ICNC-FSKD, page 732-738. IEEE, (2018)Online adaptive decision trees based on concentration inequalities., , , , , and . Knowl. Based Syst., (2016)Comparative Study of Fast Stacking Ensembles Families Algorithms., , and . BRACIS (2), volume 12320 of Lecture Notes in Computer Science, page 456-470. Springer, (2020)Experimental Comparative Study of Three Models of Convolutional Neural Networks for Emotion Recognition., , and . HCI (53), volume 14059 of Lecture Notes in Computer Science, page 199-210. Springer, (2023)SSL-VFC4.5: An approach to adapt Very Fast C4.5 classification algorithm to deal with semi-supervised learning., , and . SBBD, page 13-24. SBC, (2021)Study on Different Methods for Recognition of Facial Expressions from the Data Generated by Modern HMDs., , and . HCI (43), volume 1832 of Communications in Computer and Information Science, page 294-302. Springer, (2023)