| Adaptive deep learning model selection on embedded systems B Taylor, VS Marco, W Wolff, Y Elkhatib, Z Wang ACM SIGPLAN Notices 53 (6), 31-43, 2018 | 180 | 2018 |
| Cracking Android Pattern Lock in Five Attempts G Ye, Z Tang, D Fang, X Chen, KI Kim, B Taylor, Z Wang Network and Distributed System Security Symposium, 15, 2017 | 137 | 2017 |
| Adaptive Optimization for OpenCL Programs on Embedded Heterogeneous Systems B Taylor, VS Marco, Z Wang Languages, Compilers, and Tools for Embedded Systems, 10, 2017 | 69 | 2017 |
| Improving spark application throughput via memory aware task co-location: A mixture of experts approach VS Marco, B Taylor, B Porter, Z Wang Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, 95-108, 2017 | 64 | 2017 |
| Optimizing deep learning inference on embedded systems through adaptive model selection VS Marco, B Taylor, Z Wang, Y Elkhatib ACM Transactions on Embedded Computing Systems (TECS) 19 (1), 1-28, 2020 | 59 | 2020 |
| Old-growth forest loss and secondary forest recovery across Amazonian countries CC Smith, JR Healey, E Berenguer, PJ Young, B Taylor, F Elias, ... Environmental Research Letters 16 (8), 085009, 2021 | 36 | 2021 |
| Efficient Deep Neural Network Inference for Embedded Systems: A Mixture of Experts Approach BD Taylor PQDT-Global, 2020 | | 2020 |
Vicent Sanz MarcoAISTVerified email at cmc.osaka-u.ac.jp
Vicent Sanz MarcoAISTVerified email at cmc.osaka-u.ac.jp
