A unified generative model using generative adversarial network for activity recognition

Author:

Chan Mang Hong,Noor Mohd Halim MohdORCID

Funder

Universiti Sains Malaysia

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference24 articles.

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2. Alzantot M, Chakraborty S, Srivastava M (2017) SenseGen: A deep learning architecture for synthetic sensor data generation. IEEE Int Conf Pervasive Comput Commun Workshops PerCom Workshops. https://doi.org/10.1109/PERCOMW.2017.7917555

3. Banos O, Garcia R, Holgado-terriza JA, Damas M, Pomares H, Rojas I, Saez A, Villalonga C (2014) mHealthDroid: a novel framework for agiledevelopment of mobile health applications

4. Bolelli F, Pollastri F, Paredes R, Grana C (2018) Improving skin lesion segmentation with generative adversarial networks. Proc IEEE Symp Comput Based Med Syst. https://doi.org/10.1109/CBMS.2018.00086

5. Frid-Adar M, Klang E, Amitai M, Goldberger J, Greenspan H (2018) Synthetic data augmentation using GAN for improved liver lesion classification. Proc Int Symp Biomed Imaging. https://doi.org/10.1109/ISBI.2018.8363576

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