Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices

Akhil Mathur, Tianlin Zhang, Sourav Bhattacharya, Petar Velickovic, Leonid Joffe, Nicholas D. Lane, Fahim Kawsar, Pietro Liò. Using deep data augmentation training to address software and hardware heterogeneities in wearable and smartphone sensing devices. In Luca Mottola, Jie Gao, Pei Zhang, editors, Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018, Porto, Portugal, April 11-13, 2018. pages 200-211, IEEE / ACM, 2018. [doi]

Authors

Akhil Mathur

This author has not been identified. Look up 'Akhil Mathur' in Google

Tianlin Zhang

This author has not been identified. Look up 'Tianlin Zhang' in Google

Sourav Bhattacharya

This author has not been identified. Look up 'Sourav Bhattacharya' in Google

Petar Velickovic

This author has not been identified. Look up 'Petar Velickovic' in Google

Leonid Joffe

This author has not been identified. Look up 'Leonid Joffe' in Google

Nicholas D. Lane

This author has not been identified. Look up 'Nicholas D. Lane' in Google

Fahim Kawsar

This author has not been identified. Look up 'Fahim Kawsar' in Google

Pietro Liò

This author has not been identified. Look up 'Pietro Liò' in Google