NeuroSketch: Fast and Approximate Evaluation of Range Aggregate Queries with Neural Networks is a research paper published in Proceedings of the ACM on Management of Data (2023). On theSindex it has a DataRank of 0. It has been cited 9 times.
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NIH
Grant: 5R01LM014026
NSF
Grant: CCF-2239265,IIS-1910950, CNS-2125530, and IIS-2128661
NLM NIH HHS
Grant: R01 LM014026
National Science Foundation
Grant: 2128661
III: Small: NeuroDB: A Neural Network Framework for Efficiently Answering Database Queries Approximately
National Science Foundation
Grant: 2239265
CAREER: Computational Foundations of Modern Machine Learning
National Institutes of Health
Grant: 5R01LM014026-03
SCH: Wearables for Health and Disease Knowledge (W4H)
National Science Foundation
Grant: 1910950
III: Small: Collaborative Research: PE4GQ - Practical Encryption for Geospatial Queries on Private Data
National Science Foundation
Grant: 2125530
SCC-IRG JST: Hyperlocal Risk Monitoring and Pandemic Preparedness through Privacy-Enhanced Mobility and Social Interactions Analysis
Amazon Research Award
Microsoft Research
FWCI
0.00
Citation Percentile
0.0%
Citation Trend
Fields of Study
Keywords
Sustainable Development Goals