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A Novel Procedure for Training L1-L2 Support Vector Machine Classifiers., , , , and . ICANN, volume 8131 of Lecture Notes in Computer Science, page 434-441. Springer, (2013)Energy Efficient Smartphone-Based Activity Recognition using Fixed-Point Arithmetic., , , , and . J. UCS, 19 (9): 1295-1314 (2013)Out-of-Sample Error Estimation: The Blessing of High Dimensionality., , , , and . ICDM Workshops, page 637-644. IEEE Computer Society, (2014)Transition-Aware Human Activity Recognition Using Smartphones., , , , and . Neurocomputing, (2016)Big Data Analytics in the Cloud: Spark on Hadoop vs MPI/OpenMP on Beowulf., , and . INNS Conference on Big Data, volume 53 of Procedia Computer Science, page 121-130. Elsevier, (2015)Training Computationally Efficient Smartphone-Based Human Activity Recognition Models., , , , and . ICANN, volume 8131 of Lecture Notes in Computer Science, page 426-433. Springer, (2013)Human Activity and Motion Disorder Recognition: towards smarter Interactive Cognitive Environments., , , , , and . ESANN, (2013)Human Activity Recognition on Smartphones Using a Multiclass Hardware-Friendly Support Vector Machine., , , , and . IWAAL, volume 7657 of Lecture Notes in Computer Science, page 216-223. Springer, (2012)Human Activity Recognition on Smartphones with Awareness of Basic Activities and Postural Transitions., , , , , and . ICANN, volume 8681 of Lecture Notes in Computer Science, page 177-184. Springer, (2014)A Public Domain Dataset for Human Activity Recognition using Smartphones., , , , and . ESANN, (2013)