受强制性开放获取政策约束的文章 - Jees Augustine了解详情
无法在其他位置公开访问的文章：1 篇
Deep learning models for selectivity estimation of multi-attribute queries
S Hasan, S Thirumuruganathan, J Augustine, N Koudas, G Das
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
强制性开放获取政策： US National Science Foundation
可在其他位置公开访问的文章：6 篇
Leveraging similarity joins for signal reconstruction
A Asudeh, A Nazi, J Augustine, S Thirumuruganathan, N Zhang, G Das, ...
Proceedings of the VLDB Endowment 11 (10), 1276-1288, 2018
强制性开放获取政策： US National Science Foundation, US Department of Defense
Scalable algorithms for signal reconstruction by leveraging similarity joins
A Asudeh, J Augustine, A Nazi, S Thirumuruganathan, N Zhang, G Das, ...
The VLDB Journal 29 (2), 681-707, 2020
强制性开放获取政策： US National Science Foundation
Efficient signal reconstruction for a broad range of applications
A Asudeh, J Augustine, A Nazi, S Thirumuruganathan, N Zhang, G Das, ...
ACM SIGMOD Record 48 (1), 42-49, 2019
强制性开放获取政策： US National Science Foundation, US Department of Defense
A generalized approach for reducing expensive distance calls for a broad class of proximity problems
J Augustine, S Shetiya, M Esfandiari, S Basu Roy, G Das
Proceedings of the 2021 International Conference on Management of Data, 142-154, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Scalable signal reconstruction for a broad range of applications
A Asudeh, J Augustine, S Thirumuruganathan, A Nazi, N Zhang, G Das, ...
Communications of the ACM 64 (2), 106-115, 2021
强制性开放获取政策： US National Science Foundation, US Department of Defense
Orca-sr: A real-time traffic engineering framework leveraging similarity joins
J Augustine, S Shetiya, A Asudeh, S Thirumuruganathan, A Nazi, ...
Proceedings of the VLDB Endowment 13 (12), 2020
强制性开放获取政策： US National Science Foundation
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