Bhattacharya, Sourav

Smart Devices are Different: Assessing and MitigatingMobile Sensing Heterogeneities for Activity Recognition

Stisen, A., Blunck, H., Bhattacharya, S., Prentow, T. S., Kjærgaard, M. B., Dey, A., Sonne, T., & Jensen, M. M. (2015) · Proceedings of the 13th ACM Conference on Embedded Networked Sensor Systems

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 714

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices

Lane, N. D., Bhattacharya, S., Georgiev, P., Forlivesi, C., Jiao, L., Qendro, L., & Kawsar, F. (2016) · 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 450

Multimodal Deep Learning for Activity and Context Recognition

Radu, V., Tong, C., Bhattacharya, S., Lane, N. D., Mascolo, C., Marina, M. K., & Kawsar, F. (2018) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 281

Sparsification and Separation of Deep Learning Layers for Constrained Resource Inference on Wearables

Bhattacharya, S., & Lane, N. D. (2016) · Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems CD-ROM

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 236

Towards multimodal deep learning for activity recognition on mobile devices

Radu, V., Lane, N. D., Bhattacharya, S., Mascolo, C., Marina, M. K., & Kawsar, F. (2016) · Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct

Context-Aware Activity Recognition SystemsHuman Mobility and Location-Based Analysis

Cited by 147

Using Deep Data Augmentation Training to Address Software and Hardware Heterogeneities in Wearable and Smartphone Sensing Devices

Mathur, A., Zhang, T., Bhattacharya, S., Velickovic, P., Joffe, L., Lane, N. D., Kawsar, F., & Lio, P. (2018) · 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)

Context-Aware Activity Recognition SystemsMobile Crowdsensing and Crowdsourcing

Cited by 70

Low-resource multi-task audio sensing for mobile and embedded devices via shared deep neural network representations

Georgiev, P., Bhattacharya, S., Lane, N. D., & Mascolo, C. (2017) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 67