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Adasa: A Conversational In-Vehicle Digital Assistant for Advanced Driver Assistance Features.

, , , , , , and . UIST, page 531-542. ACM, (2018)

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Understanding Application Contentiousness and Sensitivity on Modern Multicores., and . Advances in Computers, (2013)Data Collection for Dialogue System: A Startup Perspective., , , , and . NAACL-HLT (3), page 33-40. Association for Computational Linguistics, (2018)Gist: Efficient Data Encoding for Deep Neural Network Training., , , , and . ISCA, page 776-789. IEEE Computer Society, (2018)Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting., , , , , , , and . HPCA, page 271-282. IEEE Computer Society, (2015)Understanding the Impact of Socket Density in Density Optimized Servers., , , , , , and . HPCA, page 687-700. IEEE, (2019)Input responsiveness: using canary inputs to dynamically steer approximation., , , , , and . PLDI, page 161-176. ACM, (2016)Bubble-flux: precise online QoS management for increased utilization in warehouse scale computers., , , and . ISCA, page 607-618. ACM, (2013)Thermal time shifting: leveraging phase change materials to reduce cooling costs in warehouse-scale computers., , , , , , and . ISCA, page 439-449. ACM, (2015)ReQoS: reactive static/dynamic compilation for QoS in warehouse scale computers., , , , and . ASPLOS, page 89-100. ACM, (2013)CrystalBall: Statically analyzing runtime behavior via deep sequence learning., , , , , and . MICRO, page 24:1-24:12. IEEE Computer Society, (2016)