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Hand-crafted Features vs Residual Networks for Human Activities Recognition using Accelerometer.

, , , and . ISCT, page 153-156. IEEE, (2019)

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Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing data., , , , , , , , , and 4 other author(s). BMC Bioinform., 17 (S-12): 27-35 (2016)Human Activities Recognition Using Accelerometer and Gyroscope., , , and . AmI, volume 11912 of Lecture Notes in Computer Science, page 357-362. Springer, (2019)Trends in human activity recognition using smartphones., , , and . J. Reliab. Intell. Environ., 7 (3): 189-213 (2021)On the Personalization of Classification Models for Human Activity Recognition., , , and . IEEE Access, (2020)A Framework for Long-Term Data Collection to Support Automatic Human Activity Recognition., , , and . Intelligent Environments (Workshops), volume 26 of Ambient Intelligence and Smart Environments, page 367-376. IOS Press, (2019)Personalized Deep Learning in Human Activity Recognition from Inertial Signals: a Preliminary Study on its Effectiveness (short paper)., , , and . AIxAS@AI*IA, volume 2804 of CEUR Workshop Proceedings, page 25-30. CEUR-WS.org, (2020)A Platform to Collect, Unify, and Distribute Inertial Labeled Signals for Human Activity Recognition., , , and . CoRR, (2019)On the Homogenization of Heterogeneous Inertial-Based Databases for Human Activity Recognition., , , and . SERVICES, page 295-300. IEEE, (2019)Hand-crafted Features vs Residual Networks for Human Activities Recognition using Accelerometer., , , and . ISCT, page 153-156. IEEE, (2019)Personalization in Human Activity Recognition., , , and . CoRR, (2020)