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Ubiquitous Assessment of the Recovery of Cancer Patients Using Consumer-Level Activity Trackers., , , , , and . UCAmI, volume 2 of MDPI Proceedings, page 1204. MDPI, (2018)Preface to the special issue on: Emerging Applications of Embedded Systems Research., , , and . J. Syst. Archit., 57 (10): 867-868 (2011)Evaluating the effects of signal segmentation on activity recognition., , , , , , and . IWBBIO, page 759-765. Copicentro Editorial, (2014)The Use of Video-Gaming Devices as a Motivation for Learning Embedded Systems Programming., , , , , and . IEEE Trans. Educ., 56 (2): 199-207 (2013)Fine Tuning of Fuzzy of Fuzzy Controllers Using a Two-stage Algorithm., , , , and . FUZZ-IEEE, page 1479-1482. IEEE, (2001)First Approach to Automatic Performance Status Evaluation and Physical Activity Recognition in Cancer Patients., , , , and . IUCC-CSS, page 116-123. IEEE Computer Society, (2016)Surface Modelling with Radial Basis Functions Neural Networks Using Virtual Environments., , , , , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 170-177. Springer, (2007)Use of ANNs as Classifiers for Selective Attention Brain-Computer Interfaces., , , , , , and . IWANN, volume 4507 of Lecture Notes in Computer Science, page 956-963. Springer, (2007)Use of Kohonen Maps as Feature Selector for Selective Attention Brain-Computer Interfaces., , , , and . IWINAC (1), volume 4527 of Lecture Notes in Computer Science, page 407-415. Springer, (2007)Multi-objective feature selection for EEG classification with multi-level parallelism on heterogeneous CPU-GPU clusters., , , , and . GECCO (Companion), page 1862-1869. ACM, (2018)