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An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition.

, , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 486-493. Springer, (2019)

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Unsupervised Domain Adaptation for Human Activity Recognition., , , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 623-630. Springer, (2018)A Preliminary Study on Hyperparameter Configuration for Human Activity Recognition., , , , and . CoRR, (2018)Ensemble Clustering for Novelty Detection in Data Streams., , , , , , and . DS, volume 11828 of Lecture Notes in Computer Science, page 460-470. Springer, (2019)Multiple Parallel MapReduce k-Means Clustering with Validation and Selection., and . BRACIS, page 432-437. IEEE Computer Society, (2014)A Study on Hyperparameter Configuration for Human Activity Recognition., , , , and . SOCO, volume 950 of Advances in Intelligent Systems and Computing, page 47-56. Springer, (2019)Online Clustering for Novelty Detection and Concept Drift in Data Streams., , , and . EPIA (2), volume 11805 of Lecture Notes in Computer Science, page 448-459. Springer, (2019)An Efficient Scheme for Prototyping kNN in the Context of Real-Time Human Activity Recognition., , , , and . IDEAL (1), volume 11871 of Lecture Notes in Computer Science, page 486-493. Springer, (2019)A Cluster-Based Prototype Reduction for Online Classification., , and . IDEAL (1), volume 11314 of Lecture Notes in Computer Science, page 603-610. Springer, (2018)An ensemble of autonomous auto-encoders for human activity recognition., , , , , , , and . Neurocomputing, (2021)